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Asioita ei voi kiinnittää etukäteen, mutta isojen arkkitehtuurilinjojen on pysyttävä ohjauksessa, jotta tuotetut ratkaisut istuvat integroituun kokonaisuuteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Haasteena on löytää oikea tapa tehdä arkkitehtuuria, jolla yhtä aikaa mahdollistetaan ketterä kehitys ja samalla ohjataan tuotoksia kohti suunniteltua kokonaisuutta. Suunnitelmien tulee olla samanaikaisesti kokonaisvaltaisia että konkreettisia – lisäksi niiden tulee olla jatkuvasti ajan tasalla. Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä on oleellista ymmärtää organisaatio kokonaisuutena, mutta samalla pilkkoa ja vastuuttaa arkkitehtuurin suunnittelu mahdollisimman itsenäisiin osakokonaisuuksiin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuuksien määrittely ja niiden välisten riippuvuuksien ymmärtäminen on kokonaisuuden toimimisen kannalta avainasemassa. Jaon tulee perustua syvälliseen arkkitehtuuriosaamiseen – pelkkä IT-organisaatiorakenteen tai järjestelmäkartan kopiominen ei tässä riitä. Onnistuneen jaon tekeminen vaatiikin laajaa teknologiatuntemusta sekä kykyä luoda ylätason arkkitehtuurivisio.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä ei kannata haaskata aikaa todellisuudesta irti olevien laatikoiden ja nuolten piirtelylle. Modernin arkkitehdin on oltava teknisesti osaava, teknologiat ja tuotteet hyvin tunteva.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin. Nämä ovat roolinimikkeitä, joiden välillä arkkitehti liikkuu tarpeen mukaan. 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Tällä myös varmistetaan arkkitehtuurityön ketteryys, koska arkkitehdit näkevät tulevat tarpeet heti, kun ne ilmaantuvat. Tämä on näppärä tapa varmistaa, että arkkitehdeillä säilyy osaaminen teknologioista.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lue lisää aiheesta: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuriohjauksen dilemma","nodeType":"text"}],"nodeType":"entry-hyperlink"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"PV2mA2lLgyQI0BxUtXrq4","type":"Entry","createdAt":"2020-08-12T10:37:06.814Z","updatedAt":"2020-12-15T11:10:13.234Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Tommi Laitila","jobTitle":"CTO","email":"tommi.laitila@nitor.com","phoneNumber":"+358 40 0861212","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tommi Laitila on kokenut yritysarkkitehti sekä ketterien ja lean -menetelmien valmentaja ja kouluttaja. 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Kirjasto toteutettiin Finnairin operatiivisen lentotietojärjestelmän Polariksen tarpeisiin ja muokattiin myöhemmin yleiseksi avoimen lähdekoodin kirjastoksi. Nitor on Finnairin Polaris-lentotietojärjestelmän toimittaja.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorin tiimi valittiin uudistamaan Finnairin lentotietojärjestelmää, jonka lopputuloksista koko avoimen lähdekoodin kehityksen yhteisö pääsee nyt nauttimaan. Kyseessä on Finnairin ensimmäinen avoimen lähdekoodin kirjasto ja se on suunniteltu datan validointia, normalisointia ja konvertointia varten. Avoin lähdekoodi tarkoittaa, että Finnairin ulkopuolisilla kehittäjillä on pääsy kirjasto-ohjelman lähdekoodiin, mutta ei esimerkiksi asiakasdataan tai mihinkään muuhun Finnairin järjestelmien tietoon. Näin kehittäjät ympäri maailman voivat hyödyntää ohjelmistoa omissa projekteissaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kirjasto rakennettiin aluksi Finnairin Polaris-järjestelmän käyttöön ja laajennettiin myöhemmin yleiseksi avoimen lähdekoodin kirjastoksi. Polaris hyödyntää kymmeniä eri tietolähteitä ja sen toiminnan edellytys on, että kaikki data on validoitua ja saatu tieto on eheää. Esimerkiksi lentotiedoissa aikatiedot pitää konvertoida oikeisiin tietotyyppeihin vertailun, hakujen ja laskennan mahdollistamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“On innostavaa olla mukana viemässä Finnairia avoimeen lähdekoodiin. Open source, eli avoin lähdekoodi, mielletään usein pienen toimijoiden maailmaksi, mutta tämä kirjasto on rakennettu vastaamaan kansainvälisen yrityksen tarpeita. Se muokkaa kymmenistä lähteistä tulevan tiedon vastaamaan tarpeitamme,” Nitorin ohjelmistoarkkitehti ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Samppa Saarela","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Validointikirjastoja on markkinoilla jo paljon, mutta Finnairin Polariksen vaatimuksiin taipuvaa ratkaisua ei kuitenkaan niiden joukosta löytynyt. Kun kirjasto oli jo rakennettu, siitä kiinnostuttiin talon sisällä ja se otettiin käyttöön muihinkin projekteihin. Finnairin verkkopalveluiden kehityksestä vastaava ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Jukka Paasonen","nodeType":"text"},{"data":{},"marks":[],"value":" on tehnyt avoimen lähdekoodin eteen työtä jo pitkään ja tuki kirjaston tekemistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Avoimen lähdekoodin kehitykseen päätettiin siirtyä, kun kirjasto oli otettu käyttöön useammassa sisäisessä projektissa ja todettu toimivaksi. Finnairilla oli myös suunniteltu open source -ohjelmaa, jonka avulla talon sisäistä kehitysosaamista voitaisiin paremmin avata. Avoimelle lähdekoodille piti olla tarvetta, korkea laatu ja hyvä dokumentaatio. Laajan sisäisen katselmoinnin jälkeen todettiin, että Polariksen validointikirjasto täytti sopivasti ne ehdot, mitä sellaiselle kirjastolle on asetettu.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Miten tehdä avointa lähdekoodia asiakastyössä","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kun kirjasto päätettiin julkaista, siitä poistettiin projektikohtaisuudet ja lisättiin tueksi dokumentaatiota. Suurten toimijoiden ei tyypillisesti ole nähty julkaisevan ohjelmistojensa lähdekoodia, mutta viime vuosina muutosta avoimuuteen on tapahtunut. Finnair näki tärkeäksi pitää kirjaston laadun korkeana, joten aikaa ja tukea sen kehitykseen löytyi riittävästi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kynnys julkaista omaa koodia on usein korkea: mitä jos ulkopuoliset kehittäjät tulevat vain sotkemaan koodia tai, mikä pahinta, entä jos ketään ei kiinnosta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Kehittäjälle antaisin vinkiksi, että kehitystyö pitää tehdä asiakkaan tarpeisiin ja sen pitää olla perusteltua. Neuvoisin etenemään nöyrästi, sillä loppupeleissä asiakas omistaa koodin. Olemme yhdessä edistäneet sisältöjä asiakkaan tuoteomistajien kanssa ja tekemämme lisäykset kirjastoon ovat olleet asioita, joita tarvitsemme Polaris-kehityksessä”, kirjaston kehityksestä vastannut Samppa Saarela kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mitä varten kirjasto rakennettiin","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Kirjasto soveltuu parhaiten API- ja mikropalveluprojekteihin, joissa datan eheys täytyy varmistaa. Esimerkiksi validointia tarvitsee lähtökohtaisesti kaikissa sovelluksissa. Siksi näen avoimen lähdekoodin kirjaston tekemisen hyödylliseksi. Minulle tekemisen mielekkyys tulee siitä, että saa tehdä huolella laadukkaita ratkaisuja. On kivempaa keskittyä ratkaisemaan bisneskriittisiä ongelmia, kun ei tarvitse aina kirjoittaa samoja asioita uudestaan,” Samppa toteaa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkossa kirjastoon on tarkoitus lisätä uusia validaattoreita ja laajentaa sitä erilaisilla käyttötapauksilla. Toiveenamme on, että kirjastoa hyödynnetään mahdollisimman laajasti, ja jatkokehitystoiveiden perusteella myös sisältöä voisi parantaa. Open source -kehitystä ei voi menestyksekkäästi johtaa perinteisellä yritysjohtamisella, vaan siihen pitää rakentaa yhteisö vastaamaan siitä. Loppupeleissä avoin lähdekoodi on sen yhteisön käsissä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorilaisille avoimen lähdekoodin tekeminen on tuttua ja sen edistämiseen voi käyttää myös niin sanottua Nitorin Core-aikaa, joka mahdollistaa kiinnostaviin henkilökohtaisiin projekteihin syventymisen työajan puitteissa. 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Pieni investointi kirjaston tekemiseen suuressa hankkeessa mahdollisti tehdyn työn yleistämisen ja kirjaston julkaisun, siitä kiitos kuuluu Finnairille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{"uri":"https://www.npmjs.com/package/@finnair/v-validation"},"content":[{"data":{},"marks":[],"value":"https://www.npmjs.com/package/@finnair/v-validation","nodeType":"text"}],"nodeType":"hyperlink"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{"uri":"https://github.com/finnair/v-validation"},"content":[{"data":{},"marks":[],"value":"https://github.com/finnair/v-validation","nodeType":"text"}],"nodeType":"hyperlink"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5F8fHrCXlNSv6hSxYjD48V","type":"Entry","createdAt":"2020-06-29T11:43:04.392Z","updatedAt":"2020-06-29T11:43:04.392Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Teknologia","slug":"teknologia"}}],"slug":"finnair-avaa-osaamistaan-avoimen-lahdekoodin-kirjastolla","publishDate":"2020-07-08","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"G8oJrZo3GQUbncZfPdgCj","type":"Entry","createdAt":"2020-12-08T08:01:07.873Z","updatedAt":"2020-12-17T16:04:24.258Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["en","fi"],"title":"How to make your first transaction in the Libra payment system","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"SBvuCye3R0qccfnISMNFo6","type":"Asset","createdAt":"2020-11-27T16:56:56.898Z","updatedAt":"2020-11-27T16:56:56.898Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Libra-main.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/SBvuCye3R0qccfnISMNFo6/96b4ab929a3ae5e7066cf31d9f258a4c/Libra-main.jpg","details":{"size":1670834,"image":{"width":2402,"height":1200}},"fileName":"Libra-main.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Libra is a cryptocurrency and a new global payment system started by Facebook. They made the test environment public last June and are launching the actual network during 2020.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Bitcoin has now existed for over a decade, and almost everyone has owned bitcoin at some point – or at least knows someone who has. Still, bitcoin never became the digital money it was meant to be. Most probably, your local grocery store doesn’t accept it, nor do you use it when you need to transfer money to your friends or family. The reasons holding most of the cryptocurrencies back include their inability to scale and the volatility of their value.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Facebook is now on a mission to create a new crypto-currency for the masses, with features that target the problems with the previous ones:","marks":[],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Instead of creating the currency by mining and leaving the value to be determined by the market, Libra will have the value of the currency backed by a reserve of assets like bank deposits and government securities. This means that the value of Libra should only fluctuate based on the value of these backing assets.","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Only trusted parties, the members of the Libra Association, are allowed to run servers that validate the transactions. Therefore, the proof-of-work mechanism is not required. This increases both the speed and throughput of processing transactions (and does not require the crazy amounts of electricity consumed by the big cryptocurrencies). The validating nodes still have to agree to confirm a transaction, and the network can tolerate up to ⅓ of the validators to be compromised.","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The test environment for Libra has been available since June, so developers and companies can already start getting prepared for making and accepting payments in Libra.The rest of this article explains the basic concepts of Libra and has code examples for creating transactions in the testnet to show you how easy transferring money can be with Libra.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sending money to your friend shouldn’t be harder than getting them an Uber ride home. Libra has the potential to bridge the gap between traditional financial networks and new digital currency technology while reducing the costs for everyone — especially consumers.\n\n- Peter Hazlehurst, Head of Payments and Risk, Uber Technologies, Inc.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Accounts","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The only thing you need for setting up a new account for sending and receiving transactions is a public-private key pair you can create by using the Ed25519 signature scheme. This key-pair is used to sign the transactions digitally, and the account identifier (address) is derived from the public key by hashing. You can create a new account in the Libra system by sending money to it or by making an account creation transaction.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After creating the key-pair, you can create the account address by making a SHA3 hash of the public key.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Transactions","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"To make a transaction, you need to specify the following information:","marks":[],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Transaction sequence number","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Gas amount. Gas is a small payment for making the transaction that will be deducted from the sender account.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sender account address","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Expiration time","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The public key of the sending account","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Transaction script with arguments","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Signature","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"You also need to serialize the transaction data by using a serialization mechanism that is unique to Libra. The serialized data is then signed, and the transaction is ready to be sent to the Libra API.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The amount of money to be sent nor the receiver of the payment is not specified in the transaction attributes. This information is included in the transaction script and arguments, which are written in a Libra-specific programming language called Move.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"‘Move’ transaction script","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The transaction script makes it possible for you to create much more complex transactions than simple money transfers from one account to another. These type of programmable transactions are also called “smart contracts”, and you can also specify for example several receivers for the money and define conditions that need to be met for the transaction to go through.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"For this, Libra has its own programming language called Move. A Libra -specific programming language was designed to efficiently and safely create logic around transactions.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"To get started, you don’t need to learn this new language, as there are ready-made scripts for most common use cases in the Libra code repository.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Libra API","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Libra API uses gRPC, which is a web-service framework created by Google. The API is defined in service definition files, which are used to generate the client code for different platforms. The testnet API is running at ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"http://ac.testnet.libra.org:8000","marks":[],"data":{}}],"data":{"uri":"http://ac.testnet.libra.org:8000"}},{"nodeType":"text","value":" and can be accessed without registration.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"For testing purposes, Libra also provides a service for adding money (minting) to test accounts.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Behind the API, the transaction will go through different validations after which it will be sent to other validator nodes in the network. The validators will vote on the transaction to be executed, and the changes will then be written to the ledger. You can find a more detailed description from the Libra documentation: ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://developers.libra.org/docs/life-of-a-transaction","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/life-of-a-transaction"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Making the API call","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"JLibra is a Java client library I started implementing as an open source project after the testnet was made public. JLibra is used for creating transactions and querying information about the accounts. There are also several other client libraries available for different programming languages. By using a client library, you don’t need to implement the serialization, signing and the gRPC call yourself. If you are interested in the details of those, you can find them in the source code.","marks":[],"data":{}}],"data":{}},{"nodeType":"ordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The first step is to generate key-pairs for the accounts that are involved in the transaction. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"GenerateKeysExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GenerateKeysExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Next, you need to create some money for testing purposes. This is done using the Libra faucet API and is obviously only available in the test environment. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"MintExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/MintExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After creating money in the accounts, you can check the balance by querying the API. From the response, you can also find the account sequence number for the transaction. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"GetAccountStateExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GetAccountStateExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Now you can transfer the money minted in step 2 between accounts.","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"TransferExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/TransferExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Hopefully, you got an idea of how simple and fast transferring money can be with Libra. For more information, see the Libra website and the developer documentation at:","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://libra.org\n","marks":[],"data":{}}],"data":{"uri":"https://libra.org/en-US/"}},{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{"uri":"https://libra.org/en-US/"}},{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://developers.libra.org/docs/welcome-to-libra","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/welcome-to-libra"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/welcome-to-libra"}},{"nodeType":"text","value":"You’re also welcome to join the development of the JLibra client library for Java: ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://github.com/ketola/jlibra","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}]},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5F8fHrCXlNSv6hSxYjD48V","type":"Entry","createdAt":"2020-06-29T11:43:04.392Z","updatedAt":"2020-06-29T11:43:04.392Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Teknologia","slug":"teknologia"}}],"slug":"how-make-your-first-transaction-libra-payment-system","publishDate":"2020-01-27"}}]}}],"subPages":[]}}}},"alignment":"right","animationType":"technology"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"RZPI7haV1xuW8aDXuVt70","type":"Entry","createdAt":"2020-10-28T20:43:26.193Z","updatedAt":"2020-12-17T05:59:37.360Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"featureBlock"}},"locale":"fi-FI"},"fields":{"name":"Design feature","tag":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4EYHnV3vEcwjo0Df5QE1VP","type":"Entry","createdAt":"2020-10-28T20:42:03.147Z","updatedAt":"2020-10-28T20:42:03.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Muotoilu","slug":"muotoilu"}},"title":"Palveluja ihmisiltä ihmisille","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Suunnittele palveluja, jotka elävät yhdessä ihmisten tarpeiden kanssa. 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Agile ways of working weren’t in practice in the agency world I came from. For me, Lean Design meant letting go the artistic hoopla in favour of actually releasing more and better designs.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Multidisciplinary teams improve your work","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sometimes working in a multidisciplinary team means that there are no other designers nearby. The inherent differences between engineers and designers are a hot topic but it can also be a blessing in disguise. Having engineers and other solution driven people around encourages you to prototype frequently.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The assumption that everyone thinks like you do is very problematic. User-centered design benefits from a multidisciplinary team. Designers can spread design thinking to development teams while developers can benefit from direct communication and clearer problem definitions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"You are more agile","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working together with the Product Owner and developers diminish waste when pixel perfect layouts and elaborate documentation becomes irrelevant. 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Perhaps obviously, a successful presence will most likely produce many more collaborations with your client in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Your time with other designers is more focused","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Outside client work Nitor’s designers get together bi-weekly and attend conferences and trainings together. Every Nitorean can spend 10% of their work time on personal projects which is a great way of collaborating with other workmates.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Our Design team has to have enough depth to provide support in a variety of design domains. 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And by creatives, I mean all kinds of creative people involved in film, music, business, and – to a greater extend nowadays – digital design. A team of four nitoreans flew across the Atlantic to find out what this event might offer.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"SxSW kicked off with themes that touched the softer side of humanity. ","marks":[],"data":{}},{"nodeType":"text","value":"Esther","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" ","marks":[],"data":{}},{"nodeType":"text","value":"Perel","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" reasoned that our work environments are based on human relationships and we should prioritize them. 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The opposite of that is Calm technology, where your attention is respected as a human being – Amber Case, Cyborg anthropologist","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Following on the same theme, ","marks":[],"data":{}},{"nodeType":"text","value":"Kristina Bonitz","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" and ","marks":[],"data":{}},{"nodeType":"text","value":"Pamela","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" ","marks":[],"data":{}},{"nodeType":"text","value":"Pavliscak","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" noted that screen time had doubled in a couple of years and it was about time to take action and design for calm tech. 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A panel discussion on inclusivity busted some myths.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Accessibility is expensive, but not if you start doing it early in the design process. Accessibility is difficult, but not if you get a little more educated about the subject. Designers should make it part of their demands and advocate an inclusive mindset. The first step to improve inclusivity is being open to direct feedback. This is something that too often is still overlooked. Inclusivity is really something that we need to see as beneficial for us all.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Design is so lost right now and it’s a problem – John Maeda","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The long-awaited annual ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"#designintech report by ","marks":[],"data":{}},{"nodeType":"text","value":"John Maeda","marks":[{"type":"bold"}],"data":{}}],"data":{"uri":"https://designintech.report/2019/03/09/design-in-tech-report-2019/"}},{"nodeType":"text","value":" was once again revealed at SXSW. The cloud has now fundamentally changed the way we operate but the ethical worries have not dissolved. We see AI as a very efficient tool but also as something that requires understanding of fundamental ethics.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Maeda pointed out that “design is so lost right now and it’s a problem”. This is something that we have experienced since the beginning of digital design. It encompasses so many areas that the discipline might seem difficult to grasp even though at its core it has remained the same.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Josh Clark","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" saw machine learning as new design material that can’t be fully controlled yet augments our decision making. ","marks":[],"data":{}},{"nodeType":"text","value":"Clarissa Peterson","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" listed real-life examples about how bad software or policies can cause damage to us. Algorithms can save lives but when not done right they can truly make our lives worse. These notions bring up the responsibility of design to the fore.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"As designers we are responsible in making the future happen and at the same time making sure it is one that we would want to live in.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Technological singularity where there are more possibilities than we are producing is at our hands. There is still so much more that we can achieve through technology which should make everyone excited. We just need to keep our minds clear about the higher purpose so we can make great services and products that support people’s lives.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After appearances by Hollywood stars like ","marks":[],"data":{}},{"nodeType":"text","value":"Elisabeth Moss","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" and music icons like the Beastie Boys, the festival is definitely not limited in any way. 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Powerful AI solutions can then use that data to automatically generate variations of interfaces, optimize inventories, balance server load and so much more. When a genetic algorithm can independently explore and test hundreds of alternative and choose the ones that are proven to work, who needs a designer anymore?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Clearly data helps us optimize our systems based on their results,\n\nbut how do you know what to optimize for?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"This is where design and data meet in an interesting way. 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What is the tone this AI assistant should ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=5h8m57s"},"content":[{"data":{},"marks":[],"value":"deliver news we can’t imagine yet","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=2h54m49s"},"content":[{"data":{},"marks":[],"value":"Zalando","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" presented a really useful model for understanding the relationship between data, intelligence and experience. Let’s say you’re building a smart service that helps grocery shoppers discover suitable recipes and gather them at their local grocery store. As the customer walks out of the store with flour, milk, sugar and eggs, ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"data","nodeType":"text"},{"data":{},"marks":[],"value":" is being generated. Based on the ingredients and the customer’s history, a solution’s ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"intelligence","nodeType":"text"},{"data":{},"marks":[],"value":" layer can draw a conclusion that this person is baking a cake. But the AI can’t understand the ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"experience","nodeType":"text"},{"data":{},"marks":[],"value":" of baking a cake with your friends, which is the reason the customer went to the store in the first place. Experience defines the purpose of the solution that is enabled by intelligence and built on a foundation of data.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4CvIw3Wfvw8BeOE4ihxVu","type":"Asset","createdAt":"2020-11-27T16:55:27.432Z","updatedAt":"2020-11-27T16:55:27.432Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"kolmio.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/4CvIw3Wfvw8BeOE4ihxVu/0841d0bb8da57eed5782cf9b47f3ce32/kolmio.png","details":{"size":54888,"image":{"width":1466,"height":708}},"fileName":"kolmio.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"We here at Nitor know that digital engineers, data scientists and designers have to collaborate seamlessly to create value. 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There is an abundance of data – the number of visits per season, what services were used and in what order, how long was customer at the park, and so on. And if the data is accurate, we can create intelligent solutions that take the data, make conclusions, adapt and measure against key performance indicators. 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This demonstrated nicely that the ingrained concepts in the restaurant business can also be challenged with the help of agile analysis.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"We can confidently say that the Current state analysis suits organizations which already utilize agile methodologies as well as those who are still considering to introduce agile transformation into their everyday way of working.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"The results of the analysis are refined together","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The results of the analysis are processed together with the staff and management in order to get everyone on board right from the start. When the results are formulated as concrete actions and next steps, it also helps to create a common vision of agile. 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Up to this day, we have arranged 220 courses and trained over 3,500 people in 13 countries.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We believe that SAFe is the most effective way to be agile at the moment. 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Palvelumme avulla löydät nopeasti yrityksesi liiketoiminnan kannalta kriittisen tiedon ja sen kertomat faktat. Osoitamme datan käytön hyödyt nopeasti ja ilman kalliita teknologiainvestointeja. 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Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5fnCtE1n3J6l3hrfcIwKb6","type":"Entry","createdAt":"2020-11-11T06:51:22.374Z","updatedAt":"2020-12-15T19:31:53.522Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Liiketoiminnan optimointi","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden vaihtoehtojen näkemisestä ja strategioista, joilla mahdollisuudet muuttuvat onnistumisiksi – kestäväksi digitaaliseksi kehitykseksi. Datajohtoisessa toiminnassa ei ole kyse siitä, mitä hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6CWb2esZsQNFH1dItGAv2l","type":"Entry","createdAt":"2020-12-09T07:10:27.084Z","updatedAt":"2020-12-09T14:43:42.884Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"fi-FI"},"fields":{"name":"Lue miten paransimme asiakaskokemusta data sciencen avulla","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"providing-business-value-with-data-science-at-finnair-the-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"60V2KyzLyECDfQbUZjN0wl","type":"Entry","createdAt":"2020-11-11T06:52:15.070Z","updatedAt":"2020-12-15T19:32:12.607Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Koneoppiminen ja tekoäly","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly ja koneoppiminen ovat hyviä esimerkiksi riskiarvioissa ja asiakasprofiloinnissa. Niiden avulla ratkotaan tehokkaasti luokitteluongelmia ja löydetään säännönmukaisuuksia datamassoista. Me kartoitamme tekoälyn sovelluskohteet tehokkaasti ja rakennamme malleista valmiit tuotteet. 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Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä. Nitor Insightin toiminta käynnistyi alkuvuodesta 2018 ja sitä kehitetään merkittäväksi osaksi Nitorin palveluita ja liiketoimintaa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor Insightin käynnistystä ovat valmistelleet Nitorin Data Scientistit ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[],"value":" sekä Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"\"Olemme erittäin innoissamme Nitor Insightin toiminnan käynnistymisestä. Tekoäly ja koneoppiminen ovat oleellinen osa kestävää digitaalista kehitystä. Laajentamalla tarjoamaamme pystymme tuottamaan yhä parempia palveluita sekä nykyisille asiakkaillemme että myös tekemään avauksia aivan uusille liiketoiminta-alueille.\"","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Nitorin toimitusjohtaja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat olleet jo muutaman vuoden kovassa nosteessa ja ajankohtaisia keskustelunaiheita tälläkin hetkellä. Teknologian kehittymisen, tietomäärien kasvun sekä esimerkiksi Amazonin, Googlen, ja Microsoftin alustojen kehittymisen myötä ratkaisut tulevat yhä useammin osaksi arkipäivää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Asiakkaamme käsittelevät suuria tietomääriä ja koneoppiminen on keino luoda arvoa datasta. Olemme hyödyntäneet koneoppimista vuosien varrella esimerkiksi ennusteiden ja suositusten tekemisessä media- ja finanssitoimialoilla sekä kaupan, logistiikan, liikenteen sektoreilla. Viime aikoina pinnalla ovat olleet erityisesti erilaiset asiakaspalvelussa kuluttajia auttavat chatbotit sekä muut puheeseen perustuvat palvelut”","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Otto Manninen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka hype tekoälyn ympärillä käykin kuumana, käytännönläheisyys ja arvontuotto ihmisille on Nitor Insightissa ensisijaista. Koneoppimisen avulla on mahdollista automatisoida osa-alueita, joita perinteisin keinoin ei olisi järkevä ratkaista. Ihmiset pääsevät keskittymään tärkeämpien ongelmien ratkaisemiseen koneiden avustamana.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Tekoälystä saadut hyödyt ovat ilmeisiä. Koneoppiminen on nyt tarpeeksi kehittynyttä, että sitä uskalletaan hyödyntää bisneskriittisissä järjestelmissä. Kuluttajat alkavat myös vähitellen vaatia kaikilta käyttämiltään palveluilta älykkäitä toimintoja, jotka usein perustuvat koneoppimiseen.“","nodeType":"text"},{"data":{},"marks":[],"value":" Tuomas Ritola sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Rutiinitoimien automatisoinnin ja nykyisiä digitaalisia palveluja täydentävien käyttökohteiden lisäksi tekoälyssä ja koneoppimisessa on paljon kiinnostavia uusia mahdollisuuksia. Akateemisesta maailmasta mennään vauhdilla tuotteistettuun käyttöön ja kaupalliseen hyödyntämiseen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Puheen- ja luonnollisen kielen tunnistuksen kehittyminen on luonut mahdollisuuksia uudenlaisille keskustelupohjaisille palveluille. Suurien palveluntarjoajien AI-alustat ja henkilökohtaiset assistantit muuttavat vähitellen ihmisten tottumuksia ja odotuksia siitä, miten yritysten kanssa asioidaan.”","nodeType":"text"},{"data":{},"marks":[],"value":", Juha Syrjälä sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Näkisin, että Generative Adversarial Networks eli ","nodeType":"text"},{"data":{"uri":"https://en.wikipedia.org/wiki/Generative_adversarial_network"},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"GAN-neuroverkot","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[{"type":"italic"}],"value":" ovat seuraava iso keskustelunaihe nyt pinnalla olevan deep learningin eli syväoppimisen jälkeen. Näiden neuroverkkojen avulla tekoäly voi esimerkiksi luoda opetettuna realistisia valokuvia ja muita visualisointeja. Mielenkiintoista on myös nähdä, milloin NPU (Neural Processing Unit) -kiihdytetyt laitteet yleistyvät ja muuttavat nykyistä laskentaekosysteemiä”","nodeType":"text"},{"data":{},"marks":[],"value":", Sami Airaksinen lisää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat Nitor Insightin myötä merkittävä osa Nitorin palveluita. Se on osa kestävää digitaalista kehitystä, johon pragmaattinen arkkitehtuuri, design, laajamittainen ketteröitys ja teknologiapalvelut jo Nitorilla kuuluvat.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"nitor-investoi-tekoalyyn","publishDate":"2018-06-13"}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6IMKZh2y8erek8LfALQz3P","type":"Entry","createdAt":"2020-11-11T06:53:12.936Z","updatedAt":"2020-12-15T19:32:28.180Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Datan varastointi ja hallinta","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan asianmukaisella varastoinnilla ja hallinnalla mahdollistetaan analytiikan, tiedolla johtamisen ja muiden dataan pohjautuvien palveluiden saumaton kehittäminen sekä hyödyntäminen. Me tarjoamme datan hallintaan ja varastointiin räätälöityjä ratkaisuja, joiden avulla kehitystyö on suoraviivaista. Ratkaisut ovat kustannustehokkaita ja niitä ohjaavat aina tietoturva, toimintavarmuus sekä skaalautuvuus organisaation tarpeisiin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2zNC67HdO7loGBkCFSLTgk","type":"Entry","createdAt":"2020-12-09T07:33:49.356Z","updatedAt":"2020-12-14T14:32:40.852Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"contactBlock"}},"locale":"fi-FI"},"fields":{"title":"Kysy meiltä lisää","additionalInfo":["phone number","email"],"people":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1zz3jysm45N7BDTO2fAzhZ","type":"Entry","createdAt":"2020-12-17T16:36:01.798Z","updatedAt":"2020-12-17T16:36:01.798Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"Analytics articles highlight","title":"Lue lisää","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"providing-business-value-with-data-science-at-finnair-the-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"Nitor investoi tekoälyyn","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor on perustanut uuden tekoälyyn keskittyvän liiketoiminnan. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä. 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Tekoäly ja koneoppiminen ovat oleellinen osa kestävää digitaalista kehitystä. Laajentamalla tarjoamaamme pystymme tuottamaan yhä parempia palveluita sekä nykyisille asiakkaillemme että myös tekemään avauksia aivan uusille liiketoiminta-alueille.\"","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Nitorin toimitusjohtaja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat olleet jo muutaman vuoden kovassa nosteessa ja ajankohtaisia keskustelunaiheita tälläkin hetkellä. Teknologian kehittymisen, tietomäärien kasvun sekä esimerkiksi Amazonin, Googlen, ja Microsoftin alustojen kehittymisen myötä ratkaisut tulevat yhä useammin osaksi arkipäivää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Asiakkaamme käsittelevät suuria tietomääriä ja koneoppiminen on keino luoda arvoa datasta. Olemme hyödyntäneet koneoppimista vuosien varrella esimerkiksi ennusteiden ja suositusten tekemisessä media- ja finanssitoimialoilla sekä kaupan, logistiikan, liikenteen sektoreilla. 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Kuluttajat alkavat myös vähitellen vaatia kaikilta käyttämiltään palveluilta älykkäitä toimintoja, jotka usein perustuvat koneoppimiseen.“","nodeType":"text"},{"data":{},"marks":[],"value":" Tuomas Ritola sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Rutiinitoimien automatisoinnin ja nykyisiä digitaalisia palveluja täydentävien käyttökohteiden lisäksi tekoälyssä ja koneoppimisessa on paljon kiinnostavia uusia mahdollisuuksia. Akateemisesta maailmasta mennään vauhdilla tuotteistettuun käyttöön ja kaupalliseen hyödyntämiseen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Puheen- ja luonnollisen kielen tunnistuksen kehittyminen on luonut mahdollisuuksia uudenlaisille keskustelupohjaisille palveluille. 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Johda kokeilevaa kulttuuria, sillä resilientti organisaatio kirjoittaa huomisen menestystarinat.​","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"40HBJj6hFGFjqnDWY4OtnX","type":"Asset","createdAt":"2020-09-29T12:09:20.170Z","updatedAt":"2020-11-10T11:50:58.390Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"locale":"fi-FI"},"fields":{"title":"Background","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/40HBJj6hFGFjqnDWY4OtnX/409c8498be67d0861c46a7b10312ca79/Background-2.jpg","details":{"size":160706,"image":{"width":1920,"height":1104}},"fileName":"Background-2.jpg","contentType":"image/jpeg"}}},"animationType":"strategy"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2qE4hDQE4YRpNh8YMw1trv","type":"Entry","createdAt":"2020-11-11T06:55:33.142Z","updatedAt":"2020-12-17T16:48:33.289Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":8,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Adaptiivinen strategia","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tulevaisuuden menestyvät organisaatiot tarvitsevat muuntautumiskykyä, joka mahdollistaa asiakaslähtöisen innovoinnin ja nopean reagoinnin. Autamme sinua johtamaan muutosta adaptiivisen digitaalisen strategian keinoin. Opit ennakoimaan muuttuvaa toimintaympäristöä ja asiakastarpeita. Saat työkaluja ja toimintamalleja, joilla osut liikkuvaan maaliin. Kehität joustavia rakenteita, tunnistat muutosmahdollisuuksia ja johdat mukautumista muutoksiin. Näin luot muutoksista mahdollisuuksia ja rakennat kestävää digitaalista kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"29peF12XRxEQrStuyLAI70","type":"Entry","createdAt":"2020-12-17T16:48:21.918Z","updatedAt":"2020-12-17T16:48:21.918Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"fi-FI"},"fields":{"name":"Lue lisää adaptiivisen strategian hyödyistä","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"XrWuvr85jjDvBmqm6vU9a3","type":"Entry","createdAt":"2020-12-09T10:54:37.142Z","updatedAt":"2020-12-17T16:47:06.932Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Ennakointi, innovointi ja muutosketteryys pelastavat nyt organisaatioita","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"EwAsi5DRYjhJ7eY1v0t6R3","type":"Asset","createdAt":"2020-11-27T16:56:58.359Z","updatedAt":"2020-11-27T16:56:58.359Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Placeholder.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/EwAsi5DRYjhJ7eY1v0t6R3/f761bc48bcb2b26b8f717c0afb62021e/Placeholder.png","details":{"size":82196,"image":{"width":1140,"height":641}},"fileName":"Placeholder.png","contentType":"image/png"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluva kevät on paljastanut monien yritysten muutoskyvykkyyden – tai kyvyttömyyden. Miten liiketoimintaa voi kehittää, kun kasvava määrä hallitsemattomia muutosvoimia vaikuttaa asiakkaiden käyttäytymiseen, odotuksiin ja mahdollisuuksiin tarttua tarjolla oleviin palveluihin?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Koronakevät väsyttää, ja odotus tulevasta auttaa meitä kaikkia eteenpäin. Harvalla organisaatiolla on kuitenkin mahdollisuus pelkälle odottamisen luksukselle. Viime kuukaudet ovat paljastaneet niin yritysten haavoittuvaisuuden kuin muutoskyvykkyyden. Ennen kaikkea ne ovat kuitenkin jo lyhyessä ajassa kerryttäneet oppeja siitä, mihin meidän on tartuttava jo nyt onnistuaksemme tulevaisuudessa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluneina viikkoina yritysjohtajien kanssa keskusteltuani ja yleistä talousuutisointia seurattuani on käynyt selväksi, että monet liiketoiminnan lainalaisuudet ovat rikkoontuneet. Muodonmuutosta eivät ole kokeneet vain palvelukanavat ja tuotantolinjat, vaan asiakasvalinnat, bisnesmallit ja tapamme organisoitua niiden toteuttamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Organisaatioiden liiketoimintamallit, päätöksenteko, kyvykkyyksien joustavuus sekä toiminnan ketteryys ovat joutuneet monella toimialalla kovaan testiin. Useiden ravintoloiden jouduttua sulkemaan ovensa henkilökuntaa siirtyi tukemaan ruoan verkkokaupan toimituskykyä myymälöihin. ABC-asemat alkoivat toimittaa ennakkoon tilattuja aterioita turvallisesti ja helposti suoraan autoon. Messu- ja myymälätilojen kalustajien suunnittelu- ja tuotantoprosessit taipuivat tuottamaan pleksilaseja take away -ravintoloiden ja päivittäistavarakauppojen kassoille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kyky innovoida, kokeilla ja viedä käytäntöön nopeasti onkin pelastanut monen vaikeaan tilanteeseen joutuneen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso eteenpäin","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pandemiassa elämme vaiheesta toiseen ja pyrimme ennustamaan seuraavia. Tunnistamme ja arvioimme tarvittavia toimia vaiheisiin valmistautumiseksi ja niiden voittamiseksi. Ensishokin jälkeen yhä useampi organisaatio valmistautuu aikaan pandemian jälkeen. Se tulee, vaikka akuutissa kriisissä voi olla vaikea nähdä, että seuraavan kasvun siemenet kylvetään keskellä nykyistä kriisiä. Haluankin kannustaa johtajia katsomaan kriisin yli ja osallistamaan myös organisaatiotaan tähän. Keskellä nykyhetken taloudellisten ja inhimillisten menetysten minimointia johdon on oikein ja välttämätöntä varata aikaa tulevaisuuden visiointiin ja suunnitteluun.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Siedä epävarmuutta","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Emme parin kuukauden kovasta koulusta huolimatta pysty ennustamaan, mitä tulevaisuus tuo, mutta voimme valmistautua siihen paremmin. Yhä useampi yritys rakentaa tapoja ja ottaa käyttöön työkaluja ymmärtää ja ennakoida tulevaisuutta, asiakastarpeita ja toimintaympäristöön vaikuttavia muutosvoimia paremmin. Datan, asiakasymmärryksen, liiketoimintariskien ja -mahdollisuuksien perusteella muotoillaan ja arvioidaan skenaarioita, joista valitsemalla voidaan bisnestä ohjata tulevaisuuteen samalla, kun tasataan vallitsevaa myrskyä. Oikean skenaarionkaan valitsemiseen ei voi laittaa liikaa aikaa. Jos odotat, että valitset oikein ja sumu on hälvennyt, olet jo menettänyt pelin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitä kyvykkyyksiä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Menestyvä johtaja rikkoo nyt johtamisen rakenteisiin kehittyneitä sääntöjä. Kykymme keskittyä vaatii rinnalleen kykyä olla herkkänä toimintaympäristöämme ympäröivälle kohinalle, tunnistaa ja arvioida sen signaaleja. Taipumuksemme tukeutua tuttuun ja turvalliseen on järkkynyt. Emme ammenna enää koetusta menestyksestä ja sen opeista, vaan uudelleen asemoimme liiketoimintaamme epävarmuudessa - todennäköisesti muuttuvaa maalia kohti. Kokeilevasta, pivotoivasta kulttuurista tulee vahvempi osa uutta normaalia – ei vain palvelukehityksessä ja -tuotannossa, vaan myös johtamisessa ja strategiatyössä. Onneksi niin johdon kuin organisaationkin muutosjoustavuutta voi kehittää. Myös ","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":"teknologiaa, dataa ja analytiikkaa","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" voidaan hyödyntää osana ennakointia, liiketoimintaskenaarioita evaluoida ja testata yhä ketterämmin ja asiakaslähtöisemmin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Uskalla uudistaa","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka luonnollinen ensireaktio akuutissa kriisissä on kääntyä sisäänpäin, selviäminen edellyttää katsetta myös ulospäin. Meillä on kevään nopeiden suunnanmuutosten ja selviytymisen terästämää kykyä, taistelutahtoa ja työkaluja muotoilla ja valita, miten olla tulevaisuudessa relevantti. Nyt puretaan siiloja ja rikotaan lukkiintuneita arvoketjuja ja ekosysteemejä. Uudelleen järjestäytyminen ja kumppanoituminen tekevät monesta jatkossa vahvempia. Prosessien joustavuus ja nopea reagointi- ja päätöksentekokyky auttavat tuottamaan arvoa asiakkaille, joiden käyttäytymistä ohjaa yhä kasvava määrä yllätyksellisiäkin muutosvoimia. On aika mennä eteenpäin, rakentaa aktiivisesti uutta arkea.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"auttaa rakentamaan digitaalista transformaatiota, ketterää strategiaa ja kasvua, suunnittelemaan kestäviä arkkitehtuuriratkaisuja ja uudistamaan organisaatioiden muutoskyvykkyyttä. Nitorilla on vahva hands-on kokemus ja syvä ymmärrys asiakaslähtöisestä liiketoimintamuotoilusta, moderneista kehitysprosesseista ja digitaalisista teknologioista. 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Hyvä yritysarkkitehtuuri tukee ketterää kehitystä – ei vaikeuta sitä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kokonaisuuden ymmärtäminen on ensiarvoisen tärkeää. On oltava taho, joka suunnittelee asioita riittävän isosti mutta käytännönläheisesti. Tämä on osoittautunut usein vaikeaksi. 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Organisaatiorakenne harvoin mukailee kehittämisen kannalta optimaalista arkkitehtuuria.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Organisaatiokaavioita piirrettäessä ei mietitä, että samalla vedeltäisiin paksulla pensselillä myös yritykselle kokonaisarkkitehtuuria. Tämän rakenteen ottaminen arkkitehtuurijaon pohjaksi tuottaa lopputuloksena usein kalliin, monimutkaisen ja toimimattoman IT-järjestelmien siilorakenteen. Tällaisen rakenteen päälle omni-kanavaisuuden, asiakas360:n, big datan ynnä muun toteuttaminen on vaikeaa tai jopa mahdotonta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurin jakaminen pienempiin osiin on näennäisesti pieni askel, mutta käytännössä yksi tärkeimmistä askelista kohti hyvää yritysarkkitehtuuria.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Oleellista on ymmärtää jaon vaikutus yritysarkkitehtuurin lopputuloksiin. Siksi jako tulisi tehdä osana ylätason arkkitehtuurisuunnittelua. Jaon tulee huomioida sekä ketteryyden mahdollistaminen että kapselointi (encapsulation) ja riippuvuuksien minimointi. Pilkkomisessa tulee ymmärtää yrityksen liiketoiminta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Avain on suunnittelun pilkkominen liiketoiminnan kannalta oikein jaettuihin ja hallittaviin kokonaisuuksiin - arkkitehtuuridomaineihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien tulee olla arkkitehtuurivisio- ja arvovirtalähtöisiä. Näillä ei siis tarkoiteta TOGAF-tyyppistä neljää standardimallista arkkitehtuuridomainia (business, applications, data ja technical). TOGAF:in tapa jakaa arkkitehtuurisuunnitteludomainit ei toimi, koska se jakaa arkkitehtuurityön sisältötyypin perusteella.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien välisten riippuvuuksien suunnittelu on ratkaisevassa roolissa, jotta iso kokonaisuus pysyy hallittavana. Vaikka arkkitehtuuridomainit pyritäänkin jakamaan mahdollisimman itsenäisiin kokonaisuuksiin, niiden välisten riippuvuuksien ymmärtäminen ja suunnittelu ovat ison arkkitehtuurikokonaisuuden ydinasia.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Riippuvuudet tulee suunnitella siten, että ketteryys on mahdollista sitä vaativissa arkkitehtuuridomaineissa, eivätkä riippuvuudet vähemmän ketteriin (ja ketteryyttä vaativiin) arkkitehtuuridomaineihin hidasta kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Yritysten kehitysbudjetit ovat rajalliset, joten on tärkeää tunnistaa, mihin oma kehittäminen kannattaa kohdistaa ja missä voi hyödyntää valmiita palveluita tai tuotteita.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien välisten riippuvuuksien suunnittelu on ratkaisevassa roolissa, jotta iso kokonaisuus pysyy hallittavana.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Esimerkiksi Gartnerin Pace-Layered Application Strategy and IT Organizational Design (**) on hyvä apuväline arkkitehtuuridomainien luokittelussa. Pitää tunnistaa, missä arkkitehtuuridomaineissa tarvitaan ketteryyttä, mitä halutaan standardoida ja mitkä tippuvat tähän väliin. Tulee siis tunnistaa, millä alueilla halutaan innovoida tai vähintään erottua kilpailijoista ja millä taas sille ei ole tarvetta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Innovatiiviseen ratkaisuun ei yleensä löydy valmista ohjelmistotuotetta, joten pääsääntöisesti se joudutaan kehittämään itse. Tuotetta joudutaan yleensä kustomoimaan, jos halutaan erottua kilpailijoista. Näillä asioilla on vaikutusta arkkitehtuuridomainien välisiin riippuvuuksiin. Riippuvuuksien tulee olla aina innovatiivisemmasta standardimpaan ja ketterämmästä jäykempään päin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kun arkkitehtuuridomainien riippuvuudet ovat selkeät, voidaan niiden sisällä suunnitella arkkitehtuuria kohtuullisen vapaasti, eli mahdollistaa ketteryys. Yritysarkkitehtuuria suunnitellaan itsenäisinä hallittavan kokoisina paloina, mutta kuitenkin kaikki suunnittelevat samaa isoa kokonaisuutta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Käytännössä tärkein asia on kuitenkin se, että arkkitehtuuridomainit mahdollistavat kokonaisvaltaisesti suunnitellun ja modulaarisen yritysarkkitehtuurin rakentamisen. Tällä edesautetaan liiketoiminnan laajamittaista ketterää kehittämistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"* Conwayn laki:","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"\"organizations which design systems ... are constrained to produce designs which are copies of the communication structures of these organizations.\"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"**","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{"uri":"https://www.gartner.com/binaries/content/assets/events/keywords/applications/apn30/pace-layered-applications-research-report.pdf"},"content":[{"data":{},"marks":[],"value":"Gartner Pace-Layered Application Strategy and IT Organizational Design","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Lue myös aiemmat arkkitehtuuria käsittelevät blogit","nodeType":"text"},{"data":{},"marks":[],"value":":","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"G7D20EeDFxp0adagxuDtV5","type":"Entry","createdAt":"2020-12-09T11:00:58.162Z","updatedAt":"2020-12-17T17:30:56.867Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi"],"title":"Arkkitehdin rooli ketterässä organisaatiossa","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1W8KjO1oYp6jrx0aYuy8Yy","type":"Asset","createdAt":"2020-12-17T17:30:10.235Z","updatedAt":"2020-12-17T17:30:10.235Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Tommi Laitila","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/1W8KjO1oYp6jrx0aYuy8Yy/f9f4e086f03f647faf17ce6df5e2b216/Tommi_Laitila_portrait_copy.jpg","details":{"size":452524,"image":{"width":3200,"height":2133}},"fileName":"Tommi_Laitila_portrait copy.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"​Nykyaikaisen arkkitehtuuritekemisen on toimittava ketteryyden ja kokeilemisen mahdollistajana sen sijaan, että se heittäisi kapuloita ketteryyden rattaisiin ja ankeuttaisi tekemistä byrokraattisella valvontakoneistolla. Asioita ei voi kiinnittää etukäteen, mutta isojen arkkitehtuurilinjojen on pysyttävä ohjauksessa, jotta tuotetut ratkaisut istuvat integroituun kokonaisuuteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Haasteena on löytää oikea tapa tehdä arkkitehtuuria, jolla yhtä aikaa mahdollistetaan ketterä kehitys ja samalla ohjataan tuotoksia kohti suunniteltua kokonaisuutta. Suunnitelmien tulee olla samanaikaisesti kokonaisvaltaisia että konkreettisia – lisäksi niiden tulee olla jatkuvasti ajan tasalla. Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä on oleellista ymmärtää organisaatio kokonaisuutena, mutta samalla pilkkoa ja vastuuttaa arkkitehtuurin suunnittelu mahdollisimman itsenäisiin osakokonaisuuksiin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuuksien määrittely ja niiden välisten riippuvuuksien ymmärtäminen on kokonaisuuden toimimisen kannalta avainasemassa. Jaon tulee perustua syvälliseen arkkitehtuuriosaamiseen – pelkkä IT-organisaatiorakenteen tai järjestelmäkartan kopiominen ei tässä riitä. Onnistuneen jaon tekeminen vaatiikin laajaa teknologiatuntemusta sekä kykyä luoda ylätason arkkitehtuurivisio.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä ei kannata haaskata aikaa todellisuudesta irti olevien laatikoiden ja nuolten piirtelylle. Modernin arkkitehdin on oltava teknisesti osaava, teknologiat ja tuotteet hyvin tunteva.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin. Nämä ovat roolinimikkeitä, joiden välillä arkkitehti liikkuu tarpeen mukaan. Organisaatiossa ei tulisikaan enää olla tarvetta eriliselle arkkitehtuurin hyväksymisprosessille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuudesta vastaava domain -arkkitehti suunnittelee vastuualueensa kokonaisarkkitehtuuria, mutta toimii myös ratkaisuarkkitehdin roolissa osakokonaisuuteen kuuluvissa kysymyksissä. Samoin ratkaisuarkkitehtien on hyvä olla välillä sovellusarkkitehtina tai lead developerina jossain tiimissä. Vaikka arkkitehtuurirooleja vaihdetaan lennossa, ei se tarkoita, että kaikkien tulisi osata kaikkea. Arkkitehdit toimivat itseohjautuvana tiiminä. Erikoistuminen on luonnollista ja jopa rohkaistavaa, kunhan varmistetaan, että riittävä osaaminen perusasioista säilyy.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkuva avoin dialogi kehittäjien kanssa tapahtuu automaattisesti, kun arkkitehdit ovat kiinteästi mukana kehittämisessä. Tällä myös varmistetaan arkkitehtuurityön ketteryys, koska arkkitehdit näkevät tulevat tarpeet heti, kun ne ilmaantuvat. Tämä on näppärä tapa varmistaa, että arkkitehdeillä säilyy osaaminen teknologioista.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lue lisää aiheesta: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuriohjauksen dilemma","nodeType":"text"}],"nodeType":"entry-hyperlink"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"PV2mA2lLgyQI0BxUtXrq4","type":"Entry","createdAt":"2020-08-12T10:37:06.814Z","updatedAt":"2020-12-15T11:10:13.234Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Tommi Laitila","jobTitle":"CTO","email":"tommi.laitila@nitor.com","phoneNumber":"+358 40 0861212","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tommi Laitila on kokenut yritysarkkitehti sekä ketterien ja lean -menetelmien valmentaja ja kouluttaja. 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Miten liiketoimintaa voi kehittää, kun kasvava määrä hallitsemattomia muutosvoimia vaikuttaa asiakkaiden käyttäytymiseen, odotuksiin ja mahdollisuuksiin tarttua tarjolla oleviin palveluihin?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Koronakevät väsyttää, ja odotus tulevasta auttaa meitä kaikkia eteenpäin. Harvalla organisaatiolla on kuitenkin mahdollisuus pelkälle odottamisen luksukselle. Viime kuukaudet ovat paljastaneet niin yritysten haavoittuvaisuuden kuin muutoskyvykkyyden. Ennen kaikkea ne ovat kuitenkin jo lyhyessä ajassa kerryttäneet oppeja siitä, mihin meidän on tartuttava jo nyt onnistuaksemme tulevaisuudessa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluneina viikkoina yritysjohtajien kanssa keskusteltuani ja yleistä talousuutisointia seurattuani on käynyt selväksi, että monet liiketoiminnan lainalaisuudet ovat rikkoontuneet. Muodonmuutosta eivät ole kokeneet vain palvelukanavat ja tuotantolinjat, vaan asiakasvalinnat, bisnesmallit ja tapamme organisoitua niiden toteuttamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Organisaatioiden liiketoimintamallit, päätöksenteko, kyvykkyyksien joustavuus sekä toiminnan ketteryys ovat joutuneet monella toimialalla kovaan testiin. Useiden ravintoloiden jouduttua sulkemaan ovensa henkilökuntaa siirtyi tukemaan ruoan verkkokaupan toimituskykyä myymälöihin. ABC-asemat alkoivat toimittaa ennakkoon tilattuja aterioita turvallisesti ja helposti suoraan autoon. Messu- ja myymälätilojen kalustajien suunnittelu- ja tuotantoprosessit taipuivat tuottamaan pleksilaseja take away -ravintoloiden ja päivittäistavarakauppojen kassoille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kyky innovoida, kokeilla ja viedä käytäntöön nopeasti onkin pelastanut monen vaikeaan tilanteeseen joutuneen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso eteenpäin","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pandemiassa elämme vaiheesta toiseen ja pyrimme ennustamaan seuraavia. Tunnistamme ja arvioimme tarvittavia toimia vaiheisiin valmistautumiseksi ja niiden voittamiseksi. Ensishokin jälkeen yhä useampi organisaatio valmistautuu aikaan pandemian jälkeen. Se tulee, vaikka akuutissa kriisissä voi olla vaikea nähdä, että seuraavan kasvun siemenet kylvetään keskellä nykyistä kriisiä. Haluankin kannustaa johtajia katsomaan kriisin yli ja osallistamaan myös organisaatiotaan tähän. Keskellä nykyhetken taloudellisten ja inhimillisten menetysten minimointia johdon on oikein ja välttämätöntä varata aikaa tulevaisuuden visiointiin ja suunnitteluun.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Siedä epävarmuutta","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Emme parin kuukauden kovasta koulusta huolimatta pysty ennustamaan, mitä tulevaisuus tuo, mutta voimme valmistautua siihen paremmin. Yhä useampi yritys rakentaa tapoja ja ottaa käyttöön työkaluja ymmärtää ja ennakoida tulevaisuutta, asiakastarpeita ja toimintaympäristöön vaikuttavia muutosvoimia paremmin. Datan, asiakasymmärryksen, liiketoimintariskien ja -mahdollisuuksien perusteella muotoillaan ja arvioidaan skenaarioita, joista valitsemalla voidaan bisnestä ohjata tulevaisuuteen samalla, kun tasataan vallitsevaa myrskyä. Oikean skenaarionkaan valitsemiseen ei voi laittaa liikaa aikaa. Jos odotat, että valitset oikein ja sumu on hälvennyt, olet jo menettänyt pelin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitä kyvykkyyksiä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Menestyvä johtaja rikkoo nyt johtamisen rakenteisiin kehittyneitä sääntöjä. Kykymme keskittyä vaatii rinnalleen kykyä olla herkkänä toimintaympäristöämme ympäröivälle kohinalle, tunnistaa ja arvioida sen signaaleja. Taipumuksemme tukeutua tuttuun ja turvalliseen on järkkynyt. Emme ammenna enää koetusta menestyksestä ja sen opeista, vaan uudelleen asemoimme liiketoimintaamme epävarmuudessa - todennäköisesti muuttuvaa maalia kohti. Kokeilevasta, pivotoivasta kulttuurista tulee vahvempi osa uutta normaalia – ei vain palvelukehityksessä ja -tuotannossa, vaan myös johtamisessa ja strategiatyössä. Onneksi niin johdon kuin organisaationkin muutosjoustavuutta voi kehittää. Myös ","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":"teknologiaa, dataa ja analytiikkaa","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" voidaan hyödyntää osana ennakointia, liiketoimintaskenaarioita evaluoida ja testata yhä ketterämmin ja asiakaslähtöisemmin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Uskalla uudistaa","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka luonnollinen ensireaktio akuutissa kriisissä on kääntyä sisäänpäin, selviäminen edellyttää katsetta myös ulospäin. Meillä on kevään nopeiden suunnanmuutosten ja selviytymisen terästämää kykyä, taistelutahtoa ja työkaluja muotoilla ja valita, miten olla tulevaisuudessa relevantti. Nyt puretaan siiloja ja rikotaan lukkiintuneita arvoketjuja ja ekosysteemejä. Uudelleen järjestäytyminen ja kumppanoituminen tekevät monesta jatkossa vahvempia. Prosessien joustavuus ja nopea reagointi- ja päätöksentekokyky auttavat tuottamaan arvoa asiakkaille, joiden käyttäytymistä ohjaa yhä kasvava määrä yllätyksellisiäkin muutosvoimia. On aika mennä eteenpäin, rakentaa aktiivisesti uutta arkea.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"auttaa rakentamaan digitaalista transformaatiota, ketterää strategiaa ja kasvua, suunnittelemaan kestäviä arkkitehtuuriratkaisuja ja uudistamaan organisaatioiden muutoskyvykkyyttä. Nitorilla on vahva hands-on kokemus ja syvä ymmärrys asiakaslähtöisestä liiketoimintamuotoilusta, moderneista kehitysprosesseista ja digitaalisista teknologioista. Rakennamme kestävää digitaalista kehitystä alan parhaalla asiakastyytyväisyydellä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3IdTZn6hyUG7XjvaEKJB1q","type":"Entry","createdAt":"2020-12-09T07:19:49.769Z","updatedAt":"2020-12-17T21:44:18.325Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Satu Koivulehto","jobTitle":"Senior business advisor","email":"satu.koivulehto@nitor.com","phoneNumber":"+358 50 4033356","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/satukoivulehto/"},"content":[{"data":{},"marks":[],"value":"Satu Koivulehto","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" toimii Nitorilla Senior Business Advisorina. Satu on kokenut liiketoimintamuotoilun, digitaalisten palvelujen ja asiakaslähtöisen strategiatyön asiantuntija sekä johdon sparraaja. Vapaa-aikana Sadun sydän sykkii matkailulle, merelle ja musiikille hyvässä seurassa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3nDLY4rcl861n4bDRULTGT","type":"Asset","createdAt":"2020-11-27T17:22:22.530Z","updatedAt":"2020-11-27T17:22:22.530Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Satu Koivulehto profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/3nDLY4rcl861n4bDRULTGT/509253026f4648220b9c3eb7bae1a8bd/Satu_Koivulehto_profile_blue_cropped.jpg","details":{"size":1903631,"image":{"width":2000,"height":2000}},"fileName":"Satu_Koivulehto_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ZsRFvQADZotZnLeHcGdHa","type":"Entry","createdAt":"2020-10-28T20:55:30.676Z","updatedAt":"2020-10-28T20:55:30.676Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Strategia","slug":"strategia"}}],"slug":"ennakointi-innovointi-ja-muutosketteryys-pelastavat-nyt-organisaatioita","publishDate":"2020-06-12","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"nhrsvS4XzX7oUxN6LJF1u5","type":"Entry","createdAt":"2020-12-08T08:17:31.042Z","updatedAt":"2020-12-08T08:17:31.042Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi"],"title":"DNA, GPTW ykkönen, asetti ketterän toimintansa riman korkealle","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"08aSs8WY9hRS70boQ7RCl6","type":"Asset","createdAt":"2020-11-27T16:56:59.441Z","updatedAt":"2020-11-27T16:56:59.441Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Blogi_dna_ketteryydentila_analyysi.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/08aSs8WY9hRS70boQ7RCl6/9ba83ae84747920d812e49b1db6bd28b/Blogi_dna_ketteryydentila_analyysi.jpg","details":{"size":923137,"image":{"width":2400,"height":1350}},"fileName":"Blogi_dna_ketteryydentila_analyysi.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Teleoperaattori DNA on tehnyt IT-tason ketteröitymistä ansiokkaasti jo useamman vuoden ajan. Ketterän kehityksen malli sopii hyvin DNA:n rohkeaan ja kokeilevaan kulttuuriin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Ketteryyden hyödyt ovat tulleet jo selvästi näkyviin nopeutuneen ja sujuvoituneen kehitystyön myötä. 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He's been trying to get over Java for years, lately by looking for Clojure in data-intensive applications.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6SvUByGlWNdrOcW9AWkdkW","type":"Asset","createdAt":"2020-11-27T17:23:04.963Z","updatedAt":"2020-11-27T17:23:04.963Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Mika Majakorpi profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6SvUByGlWNdrOcW9AWkdkW/eba33500b283a28ff488631918ea20da/Mika_Majakorpi_profile_blue_cropped.jpg","details":{"size":2027583,"image":{"width":2000,"height":2000}},"fileName":"Mika_Majakorpi_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"O9DgNRF5Jr4iREuB5HCGP","type":"Entry","createdAt":"2020-12-09T07:35:41.046Z","updatedAt":"2020-12-17T22:20:31.513Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Jarkko Honkio","jobTitle":"Principal architect","email":"jarkko.honkio@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1iNkOefy9fdApu57YwKYCg","type":"Asset","createdAt":"2020-11-27T17:10:27.498Z","updatedAt":"2020-11-27T17:10:27.498Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Jarkko Honkio profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/1iNkOefy9fdApu57YwKYCg/6ec830777d5c3ab35f004d4ffccc58b0/Jarkko_Honkio_profile_blue_cropped.jpg","details":{"size":1961321,"image":{"width":2000,"height":2000}},"fileName":"Jarkko_Honkio_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1U245RnrqRK7QRSG5PIbWM","type":"Entry","createdAt":"2020-12-17T16:11:43.108Z","updatedAt":"2020-12-17T20:39:37.709Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"Technology articles","title":"Lue lisää","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"G7D20EeDFxp0adagxuDtV5","type":"Entry","createdAt":"2020-12-09T11:00:58.162Z","updatedAt":"2020-12-17T17:30:56.867Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi"],"title":"Arkkitehdin rooli ketterässä organisaatiossa","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1W8KjO1oYp6jrx0aYuy8Yy","type":"Asset","createdAt":"2020-12-17T17:30:10.235Z","updatedAt":"2020-12-17T17:30:10.235Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Tommi Laitila","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/1W8KjO1oYp6jrx0aYuy8Yy/f9f4e086f03f647faf17ce6df5e2b216/Tommi_Laitila_portrait_copy.jpg","details":{"size":452524,"image":{"width":3200,"height":2133}},"fileName":"Tommi_Laitila_portrait copy.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"​Nykyaikaisen arkkitehtuuritekemisen on toimittava ketteryyden ja kokeilemisen mahdollistajana sen sijaan, että se heittäisi kapuloita ketteryyden rattaisiin ja ankeuttaisi tekemistä byrokraattisella valvontakoneistolla. Asioita ei voi kiinnittää etukäteen, mutta isojen arkkitehtuurilinjojen on pysyttävä ohjauksessa, jotta tuotetut ratkaisut istuvat integroituun kokonaisuuteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Haasteena on löytää oikea tapa tehdä arkkitehtuuria, jolla yhtä aikaa mahdollistetaan ketterä kehitys ja samalla ohjataan tuotoksia kohti suunniteltua kokonaisuutta. Suunnitelmien tulee olla samanaikaisesti kokonaisvaltaisia että konkreettisia – lisäksi niiden tulee olla jatkuvasti ajan tasalla. Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä on oleellista ymmärtää organisaatio kokonaisuutena, mutta samalla pilkkoa ja vastuuttaa arkkitehtuurin suunnittelu mahdollisimman itsenäisiin osakokonaisuuksiin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuuksien määrittely ja niiden välisten riippuvuuksien ymmärtäminen on kokonaisuuden toimimisen kannalta avainasemassa. Jaon tulee perustua syvälliseen arkkitehtuuriosaamiseen – pelkkä IT-organisaatiorakenteen tai järjestelmäkartan kopiominen ei tässä riitä. Onnistuneen jaon tekeminen vaatiikin laajaa teknologiatuntemusta sekä kykyä luoda ylätason arkkitehtuurivisio.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä ei kannata haaskata aikaa todellisuudesta irti olevien laatikoiden ja nuolten piirtelylle. Modernin arkkitehdin on oltava teknisesti osaava, teknologiat ja tuotteet hyvin tunteva.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin. Nämä ovat roolinimikkeitä, joiden välillä arkkitehti liikkuu tarpeen mukaan. Organisaatiossa ei tulisikaan enää olla tarvetta eriliselle arkkitehtuurin hyväksymisprosessille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuudesta vastaava domain -arkkitehti suunnittelee vastuualueensa kokonaisarkkitehtuuria, mutta toimii myös ratkaisuarkkitehdin roolissa osakokonaisuuteen kuuluvissa kysymyksissä. Samoin ratkaisuarkkitehtien on hyvä olla välillä sovellusarkkitehtina tai lead developerina jossain tiimissä. Vaikka arkkitehtuurirooleja vaihdetaan lennossa, ei se tarkoita, että kaikkien tulisi osata kaikkea. Arkkitehdit toimivat itseohjautuvana tiiminä. Erikoistuminen on luonnollista ja jopa rohkaistavaa, kunhan varmistetaan, että riittävä osaaminen perusasioista säilyy.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkuva avoin dialogi kehittäjien kanssa tapahtuu automaattisesti, kun arkkitehdit ovat kiinteästi mukana kehittämisessä. Tällä myös varmistetaan arkkitehtuurityön ketteryys, koska arkkitehdit näkevät tulevat tarpeet heti, kun ne ilmaantuvat. Tämä on näppärä tapa varmistaa, että arkkitehdeillä säilyy osaaminen teknologioista.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lue lisää aiheesta: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuriohjauksen dilemma","nodeType":"text"}],"nodeType":"entry-hyperlink"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"PV2mA2lLgyQI0BxUtXrq4","type":"Entry","createdAt":"2020-08-12T10:37:06.814Z","updatedAt":"2020-12-15T11:10:13.234Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Tommi Laitila","jobTitle":"CTO","email":"tommi.laitila@nitor.com","phoneNumber":"+358 40 0861212","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tommi Laitila on kokenut yritysarkkitehti sekä ketterien ja lean -menetelmien valmentaja ja kouluttaja. Tommi on myös yksi Nitorin perustajista ja Nitorin teknologiajohtaja. Kestävän digitaalisen kehityksen lisäksi Tommi suhtautuu intohimoisesti purjehdukseen ja koripalloon.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5XNTqapuuvn88fJKB67MrB","type":"Asset","createdAt":"2020-08-12T08:40:24.523Z","updatedAt":"2020-08-12T08:40:24.523Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Tommi Laitila profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5XNTqapuuvn88fJKB67MrB/fb438e52e018e4099ded55b9b8c355d1/Tommi_Laitila_profile_blue_cropped.jpg","details":{"size":2031763,"image":{"width":2000,"height":2000}},"fileName":"Tommi_Laitila_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5F8fHrCXlNSv6hSxYjD48V","type":"Entry","createdAt":"2020-06-29T11:43:04.392Z","updatedAt":"2020-06-29T11:43:04.392Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Teknologia","slug":"teknologia"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ZsRFvQADZotZnLeHcGdHa","type":"Entry","createdAt":"2020-10-28T20:55:30.676Z","updatedAt":"2020-10-28T20:55:30.676Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Strategia","slug":"strategia"}}],"slug":"arkkitehdin-rooli-ketterassa-organisaatiossa","publishDate":"2017-11-22","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"t67mk0cEWFc1ZH9QvNtF1","type":"Entry","createdAt":"2020-12-08T08:31:12.356Z","updatedAt":"2020-12-12T20:50:28.156Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"Finnair avaa osaamistaan avoimen lähdekoodin kirjastolla","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4QdAfPM0CZ3NuL20x52mD5","type":"Asset","createdAt":"2020-11-27T17:02:31.584Z","updatedAt":"2020-11-27T17:02:31.584Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Open-source-main2x-100.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/4QdAfPM0CZ3NuL20x52mD5/1d26dc0c68f6eba66e28f32f8e3aba7a/Open-source-main2x-100.jpg","details":{"size":292169,"image":{"width":2401,"height":1200}},"fileName":"Open-source-main2x-100.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor ja Finnair toteuttivat yhteistyössä Finnairin ensimmäisen avoimen lähdekoodin kirjaston auttamaan datan validoinnissa ja konvertoinnissa. Kirjasto toteutettiin Finnairin operatiivisen lentotietojärjestelmän Polariksen tarpeisiin ja muokattiin myöhemmin yleiseksi avoimen lähdekoodin kirjastoksi. Nitor on Finnairin Polaris-lentotietojärjestelmän toimittaja.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorin tiimi valittiin uudistamaan Finnairin lentotietojärjestelmää, jonka lopputuloksista koko avoimen lähdekoodin kehityksen yhteisö pääsee nyt nauttimaan. Kyseessä on Finnairin ensimmäinen avoimen lähdekoodin kirjasto ja se on suunniteltu datan validointia, normalisointia ja konvertointia varten. Avoin lähdekoodi tarkoittaa, että Finnairin ulkopuolisilla kehittäjillä on pääsy kirjasto-ohjelman lähdekoodiin, mutta ei esimerkiksi asiakasdataan tai mihinkään muuhun Finnairin järjestelmien tietoon. Näin kehittäjät ympäri maailman voivat hyödyntää ohjelmistoa omissa projekteissaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kirjasto rakennettiin aluksi Finnairin Polaris-järjestelmän käyttöön ja laajennettiin myöhemmin yleiseksi avoimen lähdekoodin kirjastoksi. Polaris hyödyntää kymmeniä eri tietolähteitä ja sen toiminnan edellytys on, että kaikki data on validoitua ja saatu tieto on eheää. Esimerkiksi lentotiedoissa aikatiedot pitää konvertoida oikeisiin tietotyyppeihin vertailun, hakujen ja laskennan mahdollistamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“On innostavaa olla mukana viemässä Finnairia avoimeen lähdekoodiin. Open source, eli avoin lähdekoodi, mielletään usein pienen toimijoiden maailmaksi, mutta tämä kirjasto on rakennettu vastaamaan kansainvälisen yrityksen tarpeita. Se muokkaa kymmenistä lähteistä tulevan tiedon vastaamaan tarpeitamme,” Nitorin ohjelmistoarkkitehti ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Samppa Saarela","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Validointikirjastoja on markkinoilla jo paljon, mutta Finnairin Polariksen vaatimuksiin taipuvaa ratkaisua ei kuitenkaan niiden joukosta löytynyt. Kun kirjasto oli jo rakennettu, siitä kiinnostuttiin talon sisällä ja se otettiin käyttöön muihinkin projekteihin. Finnairin verkkopalveluiden kehityksestä vastaava ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Jukka Paasonen","nodeType":"text"},{"data":{},"marks":[],"value":" on tehnyt avoimen lähdekoodin eteen työtä jo pitkään ja tuki kirjaston tekemistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Avoimen lähdekoodin kehitykseen päätettiin siirtyä, kun kirjasto oli otettu käyttöön useammassa sisäisessä projektissa ja todettu toimivaksi. Finnairilla oli myös suunniteltu open source -ohjelmaa, jonka avulla talon sisäistä kehitysosaamista voitaisiin paremmin avata. Avoimelle lähdekoodille piti olla tarvetta, korkea laatu ja hyvä dokumentaatio. Laajan sisäisen katselmoinnin jälkeen todettiin, että Polariksen validointikirjasto täytti sopivasti ne ehdot, mitä sellaiselle kirjastolle on asetettu.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Miten tehdä avointa lähdekoodia asiakastyössä","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kun kirjasto päätettiin julkaista, siitä poistettiin projektikohtaisuudet ja lisättiin tueksi dokumentaatiota. Suurten toimijoiden ei tyypillisesti ole nähty julkaisevan ohjelmistojensa lähdekoodia, mutta viime vuosina muutosta avoimuuteen on tapahtunut. Finnair näki tärkeäksi pitää kirjaston laadun korkeana, joten aikaa ja tukea sen kehitykseen löytyi riittävästi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kynnys julkaista omaa koodia on usein korkea: mitä jos ulkopuoliset kehittäjät tulevat vain sotkemaan koodia tai, mikä pahinta, entä jos ketään ei kiinnosta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Kehittäjälle antaisin vinkiksi, että kehitystyö pitää tehdä asiakkaan tarpeisiin ja sen pitää olla perusteltua. Neuvoisin etenemään nöyrästi, sillä loppupeleissä asiakas omistaa koodin. Olemme yhdessä edistäneet sisältöjä asiakkaan tuoteomistajien kanssa ja tekemämme lisäykset kirjastoon ovat olleet asioita, joita tarvitsemme Polaris-kehityksessä”, kirjaston kehityksestä vastannut Samppa Saarela kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mitä varten kirjasto rakennettiin","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Kirjasto soveltuu parhaiten API- ja mikropalveluprojekteihin, joissa datan eheys täytyy varmistaa. Esimerkiksi validointia tarvitsee lähtökohtaisesti kaikissa sovelluksissa. Siksi näen avoimen lähdekoodin kirjaston tekemisen hyödylliseksi. Minulle tekemisen mielekkyys tulee siitä, että saa tehdä huolella laadukkaita ratkaisuja. On kivempaa keskittyä ratkaisemaan bisneskriittisiä ongelmia, kun ei tarvitse aina kirjoittaa samoja asioita uudestaan,” Samppa toteaa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkossa kirjastoon on tarkoitus lisätä uusia validaattoreita ja laajentaa sitä erilaisilla käyttötapauksilla. Toiveenamme on, että kirjastoa hyödynnetään mahdollisimman laajasti, ja jatkokehitystoiveiden perusteella myös sisältöä voisi parantaa. Open source -kehitystä ei voi menestyksekkäästi johtaa perinteisellä yritysjohtamisella, vaan siihen pitää rakentaa yhteisö vastaamaan siitä. Loppupeleissä avoin lähdekoodi on sen yhteisön käsissä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorilaisille avoimen lähdekoodin tekeminen on tuttua ja sen edistämiseen voi käyttää myös niin sanottua Nitorin Core-aikaa, joka mahdollistaa kiinnostaviin henkilökohtaisiin projekteihin syventymisen työajan puitteissa. Open source -projekteja onkin tehty useampia vuosien varrella, kuten prosessimoottori ","nodeType":"text"},{"data":{"uri":"https://nflow.io"},"content":[{"data":{},"marks":[],"value":"nFlow","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" ja pilvi-infrastruktuurin hallintaan kehitetty ","nodeType":"text"},{"data":{"uri":"https://github.com/NitorCreations/nameless-deploy-tools"},"content":[{"data":{},"marks":[],"value":"NDT","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Yksittäisissä asiakastöissä koodi pääsee harvoin tarvittavan yleiselle tasolle, että sitä voisi lähteä tuotteistamaan kirjastoksi. Finnairilla nähtiin kuitenkin sekä sisäinen hyöty että mahdollisuus jakaa osaamistamme kehittäjäyhteisölle. 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They made the test environment public last June and are launching the actual network during 2020.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Bitcoin has now existed for over a decade, and almost everyone has owned bitcoin at some point – or at least knows someone who has. Still, bitcoin never became the digital money it was meant to be. Most probably, your local grocery store doesn’t accept it, nor do you use it when you need to transfer money to your friends or family. The reasons holding most of the cryptocurrencies back include their inability to scale and the volatility of their value.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Facebook is now on a mission to create a new crypto-currency for the masses, with features that target the problems with the previous ones:","marks":[],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Instead of creating the currency by mining and leaving the value to be determined by the market, Libra will have the value of the currency backed by a reserve of assets like bank deposits and government securities. This means that the value of Libra should only fluctuate based on the value of these backing assets.","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Only trusted parties, the members of the Libra Association, are allowed to run servers that validate the transactions. Therefore, the proof-of-work mechanism is not required. This increases both the speed and throughput of processing transactions (and does not require the crazy amounts of electricity consumed by the big cryptocurrencies). The validating nodes still have to agree to confirm a transaction, and the network can tolerate up to ⅓ of the validators to be compromised.","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The test environment for Libra has been available since June, so developers and companies can already start getting prepared for making and accepting payments in Libra.The rest of this article explains the basic concepts of Libra and has code examples for creating transactions in the testnet to show you how easy transferring money can be with Libra.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sending money to your friend shouldn’t be harder than getting them an Uber ride home. Libra has the potential to bridge the gap between traditional financial networks and new digital currency technology while reducing the costs for everyone — especially consumers.\n\n- Peter Hazlehurst, Head of Payments and Risk, Uber Technologies, Inc.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Accounts","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The only thing you need for setting up a new account for sending and receiving transactions is a public-private key pair you can create by using the Ed25519 signature scheme. This key-pair is used to sign the transactions digitally, and the account identifier (address) is derived from the public key by hashing. You can create a new account in the Libra system by sending money to it or by making an account creation transaction.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After creating the key-pair, you can create the account address by making a SHA3 hash of the public key.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Transactions","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"To make a transaction, you need to specify the following information:","marks":[],"data":{}}],"data":{}},{"nodeType":"unordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Transaction sequence number","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Gas amount. Gas is a small payment for making the transaction that will be deducted from the sender account.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sender account address","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Expiration time","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The public key of the sending account","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Transaction script with arguments","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Signature","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"You also need to serialize the transaction data by using a serialization mechanism that is unique to Libra. The serialized data is then signed, and the transaction is ready to be sent to the Libra API.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The amount of money to be sent nor the receiver of the payment is not specified in the transaction attributes. This information is included in the transaction script and arguments, which are written in a Libra-specific programming language called Move.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"‘Move’ transaction script","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The transaction script makes it possible for you to create much more complex transactions than simple money transfers from one account to another. These type of programmable transactions are also called “smart contracts”, and you can also specify for example several receivers for the money and define conditions that need to be met for the transaction to go through.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"For this, Libra has its own programming language called Move. A Libra -specific programming language was designed to efficiently and safely create logic around transactions.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"To get started, you don’t need to learn this new language, as there are ready-made scripts for most common use cases in the Libra code repository.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Libra API","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Libra API uses gRPC, which is a web-service framework created by Google. The API is defined in service definition files, which are used to generate the client code for different platforms. The testnet API is running at ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"http://ac.testnet.libra.org:8000","marks":[],"data":{}}],"data":{"uri":"http://ac.testnet.libra.org:8000"}},{"nodeType":"text","value":" and can be accessed without registration.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"For testing purposes, Libra also provides a service for adding money (minting) to test accounts.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Behind the API, the transaction will go through different validations after which it will be sent to other validator nodes in the network. The validators will vote on the transaction to be executed, and the changes will then be written to the ledger. You can find a more detailed description from the Libra documentation: ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://developers.libra.org/docs/life-of-a-transaction","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/life-of-a-transaction"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Making the API call","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"JLibra is a Java client library I started implementing as an open source project after the testnet was made public. JLibra is used for creating transactions and querying information about the accounts. There are also several other client libraries available for different programming languages. By using a client library, you don’t need to implement the serialization, signing and the gRPC call yourself. If you are interested in the details of those, you can find them in the source code.","marks":[],"data":{}}],"data":{}},{"nodeType":"ordered-list","content":[{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The first step is to generate key-pairs for the accounts that are involved in the transaction. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"GenerateKeysExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GenerateKeysExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Next, you need to create some money for testing purposes. This is done using the Libra faucet API and is obviously only available in the test environment. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"MintExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/MintExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"list-item","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After creating money in the accounts, you can check the balance by querying the API. From the response, you can also find the account sequence number for the transaction. ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"GetAccountStateExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GetAccountStateExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Now you can transfer the money minted in step 2 between accounts.","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"TransferExample.java","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/TransferExample.java"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Hopefully, you got an idea of how simple and fast transferring money can be with Libra. For more information, see the Libra website and the developer documentation at:","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://libra.org\n","marks":[],"data":{}}],"data":{"uri":"https://libra.org/en-US/"}},{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{"uri":"https://libra.org/en-US/"}},{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://developers.libra.org/docs/welcome-to-libra","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/welcome-to-libra"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{"uri":"https://developers.libra.org/docs/welcome-to-libra"}},{"nodeType":"text","value":"You’re also welcome to join the development of the JLibra client library for Java: ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"https://github.com/ketola/jlibra","marks":[],"data":{}}],"data":{"uri":"https://github.com/ketola/jlibra"}},{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}]},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5F8fHrCXlNSv6hSxYjD48V","type":"Entry","createdAt":"2020-06-29T11:43:04.392Z","updatedAt":"2020-06-29T11:43:04.392Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Teknologia","slug":"teknologia"}}],"slug":"how-make-your-first-transaction-libra-payment-system","publishDate":"2020-01-27"}}]}}],"subPages":[]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5oG7TO60oYtk2BXcqwDeZE","type":"Entry","createdAt":"2020-09-30T15:21:31.174Z","updatedAt":"2020-12-17T16:34:14.676Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"design","title":"Muotoilu","slug":"muotoilu","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6FyTrD8wWo4MK7lqqQnovQ","type":"Entry","createdAt":"2020-09-30T11:40:10.869Z","updatedAt":"2020-12-17T16:28:08.708Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"hero"}},"locale":"fi-FI"},"fields":{"name":"Design Hero","title":"Palveluja ihmisiltä 
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Agile ways of working weren’t in practice in the agency world I came from. For me, Lean Design meant letting go the artistic hoopla in favour of actually releasing more and better designs.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Multidisciplinary teams improve your work","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sometimes working in a multidisciplinary team means that there are no other designers nearby. The inherent differences between engineers and designers are a hot topic but it can also be a blessing in disguise. Having engineers and other solution driven people around encourages you to prototype frequently.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The assumption that everyone thinks like you do is very problematic. User-centered design benefits from a multidisciplinary team. Designers can spread design thinking to development teams while developers can benefit from direct communication and clearer problem definitions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"You are more agile","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working together with the Product Owner and developers diminish waste when pixel perfect layouts and elaborate documentation becomes irrelevant. Instead of polishing an idea only to have it scrapped during the presentation, you’ll be able to adjust your design accordingly when communicating daily.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"You have great access to work with customers","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Close collaboration with the Product Owner gives valuable knowledge about the client and their customers. Usually, being at the client’s premises enables also easier access to work with their customers. Frequent feedback keeps the design on track and can even elevate it to match needs that were unperceived in the beginning of the project. Perhaps obviously, a successful presence will most likely produce many more collaborations with your client in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Your time with other designers is more focused","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Outside client work Nitor’s designers get together bi-weekly and attend conferences and trainings together. Every Nitorean can spend 10% of their work time on personal projects which is a great way of collaborating with other workmates.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Our Design team has to have enough depth to provide support in a variety of design domains. 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tales from SXSW","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"IvN6SDiekRQKlti4GEepj4","type":"Asset","createdAt":"2020-11-27T16:57:16.111Z","updatedAt":"2020-12-09T11:56:49.834Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Statues at South by Southwest","description":"SXSW, South by Southwest, statue","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/IvN6SDiekRQKlti4GEepj4/36c5e7860185eee1537877159de5502a/blogi_sxsw_niko.jpg","details":{"size":241255,"image":{"width":1140,"height":640}},"fileName":"blogi_sxsw_niko.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"South by Southwest is known as the conference for creatives that outgrew into a festival for everyone. And by creatives, I mean all kinds of creative people involved in film, music, business, and – to a greater extend nowadays – digital design. A team of four nitoreans flew across the Atlantic to find out what this event might offer.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"SxSW kicked off with themes that touched the softer side of humanity. ","marks":[],"data":{}},{"nodeType":"text","value":"Esther","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" ","marks":[],"data":{}},{"nodeType":"text","value":"Perel","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" reasoned that our work environments are based on human relationships and we should prioritize them. Having our emotions tied to the service society we should start building feedback loops with each other, starting with ourselves.\n","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"If we live in this era of interruptive technology. We need to go towards the opposite. The opposite of that is Calm technology, where your attention is respected as a human being – Amber Case, Cyborg anthropologist","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Following on the same theme, ","marks":[],"data":{}},{"nodeType":"text","value":"Kristina Bonitz","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" and ","marks":[],"data":{}},{"nodeType":"text","value":"Pamela","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" ","marks":[],"data":{}},{"nodeType":"text","value":"Pavliscak","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" noted that screen time had doubled in a couple of years and it was about time to take action and design for calm tech. According to ","marks":[],"data":{}},{"nodeType":"text","value":"Amber Case","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" calm tech is an extension of people's lives instead of being something that intrudes into our daily chores. This screen addiction is something that screen time strategies haven’t been able to remove.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Another perspective at the conference was the eminent rise of health tech industry. The abundance of technology available really doesn’t have substance if it’s not harnessed to improve people’s lives.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With the European Union’s directive for web and mobile accessibility coming into effect in 2018, inclusivity can no longer be an afterthought in public services. A panel discussion on inclusivity busted some myths.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Accessibility is expensive, but not if you start doing it early in the design process. Accessibility is difficult, but not if you get a little more educated about the subject. Designers should make it part of their demands and advocate an inclusive mindset. The first step to improve inclusivity is being open to direct feedback. This is something that too often is still overlooked. Inclusivity is really something that we need to see as beneficial for us all.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Design is so lost right now and it’s a problem – John Maeda","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The long-awaited annual ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"#designintech report by ","marks":[],"data":{}},{"nodeType":"text","value":"John Maeda","marks":[{"type":"bold"}],"data":{}}],"data":{"uri":"https://designintech.report/2019/03/09/design-in-tech-report-2019/"}},{"nodeType":"text","value":" was once again revealed at SXSW. The cloud has now fundamentally changed the way we operate but the ethical worries have not dissolved. We see AI as a very efficient tool but also as something that requires understanding of fundamental ethics.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Maeda pointed out that “design is so lost right now and it’s a problem”. This is something that we have experienced since the beginning of digital design. It encompasses so many areas that the discipline might seem difficult to grasp even though at its core it has remained the same.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Josh Clark","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" saw machine learning as new design material that can’t be fully controlled yet augments our decision making. ","marks":[],"data":{}},{"nodeType":"text","value":"Clarissa Peterson","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" listed real-life examples about how bad software or policies can cause damage to us. Algorithms can save lives but when not done right they can truly make our lives worse. These notions bring up the responsibility of design to the fore.","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"As designers we are responsible in making the future happen and at the same time making sure it is one that we would want to live in.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Technological singularity where there are more possibilities than we are producing is at our hands. There is still so much more that we can achieve through technology which should make everyone excited. We just need to keep our minds clear about the higher purpose so we can make great services and products that support people’s lives.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"After appearances by Hollywood stars like ","marks":[],"data":{}},{"nodeType":"text","value":"Elisabeth Moss","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" and music icons like the Beastie Boys, the festival is definitely not limited in any way. But nothing felt better than feeling inspired by the positive impact we are able to convey in our daily craft.","marks":[],"data":{}}],"data":{}}]},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4EYHnV3vEcwjo0Df5QE1VP","type":"Entry","createdAt":"2020-10-28T20:42:03.147Z","updatedAt":"2020-10-28T20:42:03.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Muotoilu","slug":"muotoilu"}}],"slug":"designing-better-lives-tales-sxsw","publishDate":"2019-06-20","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"WazYBy13XnxsB21PNoBzd","type":"Entry","createdAt":"2020-12-08T09:28:06.162Z","updatedAt":"2020-12-08T09:28:06.162Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"Data has killed the Designer – Or has it?","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"t7Y8N8dwOLIbDnO94S55T7","type":"Asset","createdAt":"2020-11-27T16:55:28.356Z","updatedAt":"2020-12-08T09:27:54.156Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Audience watching Data Driven Design Day 2018 talks","description":"Design, People, Data Driven Design Day, LOW RES","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/t7Y8N8dwOLIbDnO94S55T7/009df76ef850305590c0a7104d4dd734/dddd.png","details":{"size":4684857,"image":{"width":5120,"height":2560}},"fileName":"dddd.png","contentType":"image/png"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor’s designers were in attendance at the awesome Data-Driven Design Day 2018 of Helsinki Design Week at Clarion. In this post, we draw together some ideas presented across the talks about the changing role of design in the Age of Data.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Data-driven decision-making is great because it helps us remove bias. Instead of listening to the ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=1h8m58s"},"content":[{"data":{},"marks":[],"value":"Highest Paid Person’s Opinion","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", data-driven decision-making is based on what the users are ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=6h16m14s"},"content":[{"data":{},"marks":[],"value":"actually doing","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" and exposes the product or service to the cold reality of data. 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Powerful AI solutions can then use that data to automatically generate variations of interfaces, optimize inventories, balance server load and so much more. When a genetic algorithm can independently explore and test hundreds of alternative and choose the ones that are proven to work, who needs a designer anymore?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Clearly data helps us optimize our systems based on their results,\n\nbut how do you know what to optimize for?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"This is where design and data meet in an interesting way. 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What is the tone this AI assistant should ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=5h8m57s"},"content":[{"data":{},"marks":[],"value":"deliver news we can’t imagine yet","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=2h54m49s"},"content":[{"data":{},"marks":[],"value":"Zalando","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" presented a really useful model for understanding the relationship between data, intelligence and experience. Let’s say you’re building a smart service that helps grocery shoppers discover suitable recipes and gather them at their local grocery store. As the customer walks out of the store with flour, milk, sugar and eggs, ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"data","nodeType":"text"},{"data":{},"marks":[],"value":" is being generated. Based on the ingredients and the customer’s history, a solution’s ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"intelligence","nodeType":"text"},{"data":{},"marks":[],"value":" layer can draw a conclusion that this person is baking a cake. But the AI can’t understand the ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"experience","nodeType":"text"},{"data":{},"marks":[],"value":" of baking a cake with your friends, which is the reason the customer went to the store in the first place. Experience defines the purpose of the solution that is enabled by intelligence and built on a foundation of data.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4CvIw3Wfvw8BeOE4ihxVu","type":"Asset","createdAt":"2020-11-27T16:55:27.432Z","updatedAt":"2020-11-27T16:55:27.432Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"kolmio.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/4CvIw3Wfvw8BeOE4ihxVu/0841d0bb8da57eed5782cf9b47f3ce32/kolmio.png","details":{"size":54888,"image":{"width":1466,"height":708}},"fileName":"kolmio.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"We here at Nitor know that digital engineers, data scientists and designers have to collaborate seamlessly to create value. 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There is an abundance of data – the number of visits per season, what services were used and in what order, how long was customer at the park, and so on. And if the data is accurate, we can create intelligent solutions that take the data, make conclusions, adapt and measure against key performance indicators. 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We’ll take a peek behind the scenes of Nitor’s team of designers. At the same time, we debunk some myths: the best designers are not lone wolves but excellent team players, who produce their best work in multidisciplinary teams in close collaboration.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"At Nitor, when we interview a designer candidate whose background is not in consulting, one of the main pain points usually involves working at client’s premises.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Wait, don’t you feel like an outsider there?” or “Don’t you miss feedback from your designer colleagues?”","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at the client’s premises with a team of developers was something I had to get used to as well. 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This plays a big part in launching the change at an organizational level right away.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With the State of Agile analysis, the organization is able to receive an unbiased outsider view on its status. Our strong background in research and vast experience in agile transformation allows us to see under the surface – and dive into the root causes that aren’t always visible in the day-to-day operations. This is how we make sure that the development targets are correctly selected instead of risking focusing on more shallow goals, that would need more profound attention in the long run.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The analysis is always performed by two coaches to ensure the best possible quality. 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Lähde liikkeelle nopeasti arvoa tuottavista asioista ja yksinkertaista ongelmia oppiviksi matemaattisiksi malleiksi. Järjestä data niin, että löydät vastaukset liiketoiminnan johtamiseen ja kehittämiseen. 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Palvelumme avulla löydät nopeasti yrityksesi liiketoiminnan kannalta kriittisen tiedon ja sen kertomat faktat. Osoitamme datan käytön hyödyt nopeasti ja ilman kalliita teknologiainvestointeja. 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Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5fnCtE1n3J6l3hrfcIwKb6","type":"Entry","createdAt":"2020-11-11T06:51:22.374Z","updatedAt":"2020-12-15T19:31:53.522Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Liiketoiminnan optimointi","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden vaihtoehtojen näkemisestä ja strategioista, joilla mahdollisuudet muuttuvat onnistumisiksi – kestäväksi digitaaliseksi kehitykseksi. Datajohtoisessa toiminnassa ei ole kyse siitä, mitä hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6CWb2esZsQNFH1dItGAv2l","type":"Entry","createdAt":"2020-12-09T07:10:27.084Z","updatedAt":"2020-12-09T14:43:42.884Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"fi-FI"},"fields":{"name":"Lue miten paransimme asiakaskokemusta data sciencen avulla","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"providing-business-value-with-data-science-at-finnair-the-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"60V2KyzLyECDfQbUZjN0wl","type":"Entry","createdAt":"2020-11-11T06:52:15.070Z","updatedAt":"2020-12-15T19:32:12.607Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Koneoppiminen ja tekoäly","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly ja koneoppiminen ovat hyviä esimerkiksi riskiarvioissa ja asiakasprofiloinnissa. Niiden avulla ratkotaan tehokkaasti luokitteluongelmia ja löydetään säännönmukaisuuksia datamassoista. Me kartoitamme tekoälyn sovelluskohteet tehokkaasti ja rakennamme malleista valmiit tuotteet. 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Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä. Nitor Insightin toiminta käynnistyi alkuvuodesta 2018 ja sitä kehitetään merkittäväksi osaksi Nitorin palveluita ja liiketoimintaa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor Insightin käynnistystä ovat valmistelleet Nitorin Data Scientistit ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[],"value":" sekä Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"\"Olemme erittäin innoissamme Nitor Insightin toiminnan käynnistymisestä. Tekoäly ja koneoppiminen ovat oleellinen osa kestävää digitaalista kehitystä. Laajentamalla tarjoamaamme pystymme tuottamaan yhä parempia palveluita sekä nykyisille asiakkaillemme että myös tekemään avauksia aivan uusille liiketoiminta-alueille.\"","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Nitorin toimitusjohtaja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat olleet jo muutaman vuoden kovassa nosteessa ja ajankohtaisia keskustelunaiheita tälläkin hetkellä. Teknologian kehittymisen, tietomäärien kasvun sekä esimerkiksi Amazonin, Googlen, ja Microsoftin alustojen kehittymisen myötä ratkaisut tulevat yhä useammin osaksi arkipäivää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Asiakkaamme käsittelevät suuria tietomääriä ja koneoppiminen on keino luoda arvoa datasta. Olemme hyödyntäneet koneoppimista vuosien varrella esimerkiksi ennusteiden ja suositusten tekemisessä media- ja finanssitoimialoilla sekä kaupan, logistiikan, liikenteen sektoreilla. Viime aikoina pinnalla ovat olleet erityisesti erilaiset asiakaspalvelussa kuluttajia auttavat chatbotit sekä muut puheeseen perustuvat palvelut”","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Otto Manninen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka hype tekoälyn ympärillä käykin kuumana, käytännönläheisyys ja arvontuotto ihmisille on Nitor Insightissa ensisijaista. Koneoppimisen avulla on mahdollista automatisoida osa-alueita, joita perinteisin keinoin ei olisi järkevä ratkaista. Ihmiset pääsevät keskittymään tärkeämpien ongelmien ratkaisemiseen koneiden avustamana.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Tekoälystä saadut hyödyt ovat ilmeisiä. Koneoppiminen on nyt tarpeeksi kehittynyttä, että sitä uskalletaan hyödyntää bisneskriittisissä järjestelmissä. Kuluttajat alkavat myös vähitellen vaatia kaikilta käyttämiltään palveluilta älykkäitä toimintoja, jotka usein perustuvat koneoppimiseen.“","nodeType":"text"},{"data":{},"marks":[],"value":" Tuomas Ritola sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Rutiinitoimien automatisoinnin ja nykyisiä digitaalisia palveluja täydentävien käyttökohteiden lisäksi tekoälyssä ja koneoppimisessa on paljon kiinnostavia uusia mahdollisuuksia. Akateemisesta maailmasta mennään vauhdilla tuotteistettuun käyttöön ja kaupalliseen hyödyntämiseen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Puheen- ja luonnollisen kielen tunnistuksen kehittyminen on luonut mahdollisuuksia uudenlaisille keskustelupohjaisille palveluille. Suurien palveluntarjoajien AI-alustat ja henkilökohtaiset assistantit muuttavat vähitellen ihmisten tottumuksia ja odotuksia siitä, miten yritysten kanssa asioidaan.”","nodeType":"text"},{"data":{},"marks":[],"value":", Juha Syrjälä sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Näkisin, että Generative Adversarial Networks eli ","nodeType":"text"},{"data":{"uri":"https://en.wikipedia.org/wiki/Generative_adversarial_network"},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"GAN-neuroverkot","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[{"type":"italic"}],"value":" ovat seuraava iso keskustelunaihe nyt pinnalla olevan deep learningin eli syväoppimisen jälkeen. Näiden neuroverkkojen avulla tekoäly voi esimerkiksi luoda opetettuna realistisia valokuvia ja muita visualisointeja. Mielenkiintoista on myös nähdä, milloin NPU (Neural Processing Unit) -kiihdytetyt laitteet yleistyvät ja muuttavat nykyistä laskentaekosysteemiä”","nodeType":"text"},{"data":{},"marks":[],"value":", Sami Airaksinen lisää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat Nitor Insightin myötä merkittävä osa Nitorin palveluita. Se on osa kestävää digitaalista kehitystä, johon pragmaattinen arkkitehtuuri, design, laajamittainen ketteröitys ja teknologiapalvelut jo Nitorilla kuuluvat.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"nitor-investoi-tekoalyyn","publishDate":"2018-06-13"}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6IMKZh2y8erek8LfALQz3P","type":"Entry","createdAt":"2020-11-11T06:53:12.936Z","updatedAt":"2020-12-15T19:32:28.180Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Datan varastointi ja hallinta","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan asianmukaisella varastoinnilla ja hallinnalla mahdollistetaan analytiikan, tiedolla johtamisen ja muiden dataan pohjautuvien palveluiden saumaton kehittäminen sekä hyödyntäminen. Me tarjoamme datan hallintaan ja varastointiin räätälöityjä ratkaisuja, joiden avulla kehitystyö on suoraviivaista. Ratkaisut ovat kustannustehokkaita ja niitä ohjaavat aina tietoturva, toimintavarmuus sekä skaalautuvuus organisaation tarpeisiin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2zNC67HdO7loGBkCFSLTgk","type":"Entry","createdAt":"2020-12-09T07:33:49.356Z","updatedAt":"2020-12-14T14:32:40.852Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"contactBlock"}},"locale":"fi-FI"},"fields":{"title":"Kysy meiltä lisää","additionalInfo":["phone number","email"],"people":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1zz3jysm45N7BDTO2fAzhZ","type":"Entry","createdAt":"2020-12-17T16:36:01.798Z","updatedAt":"2020-12-17T16:36:01.798Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"Analytics articles highlight","title":"Lue lisää","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"providing-business-value-with-data-science-at-finnair-the-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"Nitor investoi tekoälyyn","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor on perustanut uuden tekoälyyn keskittyvän liiketoiminnan. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä. Nitor Insightin toiminta käynnistyi alkuvuodesta 2018 ja sitä kehitetään merkittäväksi osaksi Nitorin palveluita ja liiketoimintaa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor Insightin käynnistystä ovat valmistelleet Nitorin Data Scientistit ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[],"value":" sekä Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"\"Olemme erittäin innoissamme Nitor Insightin toiminnan käynnistymisestä. Tekoäly ja koneoppiminen ovat oleellinen osa kestävää digitaalista kehitystä. Laajentamalla tarjoamaamme pystymme tuottamaan yhä parempia palveluita sekä nykyisille asiakkaillemme että myös tekemään avauksia aivan uusille liiketoiminta-alueille.\"","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Nitorin toimitusjohtaja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat olleet jo muutaman vuoden kovassa nosteessa ja ajankohtaisia keskustelunaiheita tälläkin hetkellä. Teknologian kehittymisen, tietomäärien kasvun sekä esimerkiksi Amazonin, Googlen, ja Microsoftin alustojen kehittymisen myötä ratkaisut tulevat yhä useammin osaksi arkipäivää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Asiakkaamme käsittelevät suuria tietomääriä ja koneoppiminen on keino luoda arvoa datasta. Olemme hyödyntäneet koneoppimista vuosien varrella esimerkiksi ennusteiden ja suositusten tekemisessä media- ja finanssitoimialoilla sekä kaupan, logistiikan, liikenteen sektoreilla. Viime aikoina pinnalla ovat olleet erityisesti erilaiset asiakaspalvelussa kuluttajia auttavat chatbotit sekä muut puheeseen perustuvat palvelut”","nodeType":"text"},{"data":{},"marks":[],"value":", kertoo Otto Manninen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka hype tekoälyn ympärillä käykin kuumana, käytännönläheisyys ja arvontuotto ihmisille on Nitor Insightissa ensisijaista. Koneoppimisen avulla on mahdollista automatisoida osa-alueita, joita perinteisin keinoin ei olisi järkevä ratkaista. Ihmiset pääsevät keskittymään tärkeämpien ongelmien ratkaisemiseen koneiden avustamana.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Tekoälystä saadut hyödyt ovat ilmeisiä. Koneoppiminen on nyt tarpeeksi kehittynyttä, että sitä uskalletaan hyödyntää bisneskriittisissä järjestelmissä. Kuluttajat alkavat myös vähitellen vaatia kaikilta käyttämiltään palveluilta älykkäitä toimintoja, jotka usein perustuvat koneoppimiseen.“","nodeType":"text"},{"data":{},"marks":[],"value":" Tuomas Ritola sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Rutiinitoimien automatisoinnin ja nykyisiä digitaalisia palveluja täydentävien käyttökohteiden lisäksi tekoälyssä ja koneoppimisessa on paljon kiinnostavia uusia mahdollisuuksia. Akateemisesta maailmasta mennään vauhdilla tuotteistettuun käyttöön ja kaupalliseen hyödyntämiseen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Puheen- ja luonnollisen kielen tunnistuksen kehittyminen on luonut mahdollisuuksia uudenlaisille keskustelupohjaisille palveluille. Suurien palveluntarjoajien AI-alustat ja henkilökohtaiset assistantit muuttavat vähitellen ihmisten tottumuksia ja odotuksia siitä, miten yritysten kanssa asioidaan.”","nodeType":"text"},{"data":{},"marks":[],"value":", Juha Syrjälä sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Näkisin, että Generative Adversarial Networks eli ","nodeType":"text"},{"data":{"uri":"https://en.wikipedia.org/wiki/Generative_adversarial_network"},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"GAN-neuroverkot","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[{"type":"italic"}],"value":" ovat seuraava iso keskustelunaihe nyt pinnalla olevan deep learningin eli syväoppimisen jälkeen. Näiden neuroverkkojen avulla tekoäly voi esimerkiksi luoda opetettuna realistisia valokuvia ja muita visualisointeja. Mielenkiintoista on myös nähdä, milloin NPU (Neural Processing Unit) -kiihdytetyt laitteet yleistyvät ja muuttavat nykyistä laskentaekosysteemiä”","nodeType":"text"},{"data":{},"marks":[],"value":", Sami Airaksinen lisää.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoäly, koneoppiminen ja Data Science ovat Nitor Insightin myötä merkittävä osa Nitorin palveluita. Se on osa kestävää digitaalista kehitystä, johon pragmaattinen arkkitehtuuri, design, laajamittainen ketteröitys ja teknologiapalvelut jo Nitorilla kuuluvat.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"nitor-investoi-tekoalyyn","publishDate":"2018-06-13"}}]}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5aTtoeg1PZl3ba2GC3rYfB","type":"Entry","createdAt":"2020-09-30T15:25:02.568Z","updatedAt":"2020-12-17T20:36:36.597Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"advisory","title":"Strategia","slug":"strategia","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2t9l76tVQTxjZ8nYtvuAjc","type":"Entry","createdAt":"2020-09-30T11:43:42.842Z","updatedAt":"2020-12-15T19:32:52.940Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"hero"}},"locale":"fi-FI"},"fields":{"name":"Strategy Hero","title":"Kohti kestävää digitaalista kehitystä","additionalTitle":"Strategia","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tee muutoksista mahdollisuuksia adaptiivisen strategian avulla. Valitse liiketoiminnallesi visio ennakoimalla toimintaympäristön ja asiakasodotusten muutoksia. Kehitä digitaalisia innovaatioita ja joustavia rakenteita. Ole edelläkävijä. Johda kokeilevaa kulttuuria, sillä resilientti organisaatio kirjoittaa huomisen menestystarinat.​","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"40HBJj6hFGFjqnDWY4OtnX","type":"Asset","createdAt":"2020-09-29T12:09:20.170Z","updatedAt":"2020-11-10T11:50:58.390Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"locale":"fi-FI"},"fields":{"title":"Background","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/40HBJj6hFGFjqnDWY4OtnX/409c8498be67d0861c46a7b10312ca79/Background-2.jpg","details":{"size":160706,"image":{"width":1920,"height":1104}},"fileName":"Background-2.jpg","contentType":"image/jpeg"}}},"animationType":"strategy"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2qE4hDQE4YRpNh8YMw1trv","type":"Entry","createdAt":"2020-11-11T06:55:33.142Z","updatedAt":"2020-12-17T16:48:33.289Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":8,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Adaptiivinen strategia","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tulevaisuuden menestyvät organisaatiot tarvitsevat muuntautumiskykyä, joka mahdollistaa asiakaslähtöisen innovoinnin ja nopean reagoinnin. Autamme sinua johtamaan muutosta adaptiivisen digitaalisen strategian keinoin. Opit ennakoimaan muuttuvaa toimintaympäristöä ja asiakastarpeita. Saat työkaluja ja toimintamalleja, joilla osut liikkuvaan maaliin. Kehität joustavia rakenteita, tunnistat muutosmahdollisuuksia ja johdat mukautumista muutoksiin. Näin luot muutoksista mahdollisuuksia ja rakennat kestävää digitaalista kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"29peF12XRxEQrStuyLAI70","type":"Entry","createdAt":"2020-12-17T16:48:21.918Z","updatedAt":"2020-12-17T16:48:21.918Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"fi-FI"},"fields":{"name":"Lue lisää adaptiivisen strategian hyödyistä","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"XrWuvr85jjDvBmqm6vU9a3","type":"Entry","createdAt":"2020-12-09T10:54:37.142Z","updatedAt":"2020-12-17T16:47:06.932Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Ennakointi, innovointi ja muutosketteryys pelastavat nyt organisaatioita","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"EwAsi5DRYjhJ7eY1v0t6R3","type":"Asset","createdAt":"2020-11-27T16:56:58.359Z","updatedAt":"2020-11-27T16:56:58.359Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Placeholder.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/EwAsi5DRYjhJ7eY1v0t6R3/f761bc48bcb2b26b8f717c0afb62021e/Placeholder.png","details":{"size":82196,"image":{"width":1140,"height":641}},"fileName":"Placeholder.png","contentType":"image/png"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluva kevät on paljastanut monien yritysten muutoskyvykkyyden – tai kyvyttömyyden. Miten liiketoimintaa voi kehittää, kun kasvava määrä hallitsemattomia muutosvoimia vaikuttaa asiakkaiden käyttäytymiseen, odotuksiin ja mahdollisuuksiin tarttua tarjolla oleviin palveluihin?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Koronakevät väsyttää, ja odotus tulevasta auttaa meitä kaikkia eteenpäin. Harvalla organisaatiolla on kuitenkin mahdollisuus pelkälle odottamisen luksukselle. Viime kuukaudet ovat paljastaneet niin yritysten haavoittuvaisuuden kuin muutoskyvykkyyden. Ennen kaikkea ne ovat kuitenkin jo lyhyessä ajassa kerryttäneet oppeja siitä, mihin meidän on tartuttava jo nyt onnistuaksemme tulevaisuudessa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluneina viikkoina yritysjohtajien kanssa keskusteltuani ja yleistä talousuutisointia seurattuani on käynyt selväksi, että monet liiketoiminnan lainalaisuudet ovat rikkoontuneet. Muodonmuutosta eivät ole kokeneet vain palvelukanavat ja tuotantolinjat, vaan asiakasvalinnat, bisnesmallit ja tapamme organisoitua niiden toteuttamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Organisaatioiden liiketoimintamallit, päätöksenteko, kyvykkyyksien joustavuus sekä toiminnan ketteryys ovat joutuneet monella toimialalla kovaan testiin. Useiden ravintoloiden jouduttua sulkemaan ovensa henkilökuntaa siirtyi tukemaan ruoan verkkokaupan toimituskykyä myymälöihin. ABC-asemat alkoivat toimittaa ennakkoon tilattuja aterioita turvallisesti ja helposti suoraan autoon. Messu- ja myymälätilojen kalustajien suunnittelu- ja tuotantoprosessit taipuivat tuottamaan pleksilaseja take away -ravintoloiden ja päivittäistavarakauppojen kassoille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kyky innovoida, kokeilla ja viedä käytäntöön nopeasti onkin pelastanut monen vaikeaan tilanteeseen joutuneen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso eteenpäin","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pandemiassa elämme vaiheesta toiseen ja pyrimme ennustamaan seuraavia. Tunnistamme ja arvioimme tarvittavia toimia vaiheisiin valmistautumiseksi ja niiden voittamiseksi. Ensishokin jälkeen yhä useampi organisaatio valmistautuu aikaan pandemian jälkeen. Se tulee, vaikka akuutissa kriisissä voi olla vaikea nähdä, että seuraavan kasvun siemenet kylvetään keskellä nykyistä kriisiä. Haluankin kannustaa johtajia katsomaan kriisin yli ja osallistamaan myös organisaatiotaan tähän. Keskellä nykyhetken taloudellisten ja inhimillisten menetysten minimointia johdon on oikein ja välttämätöntä varata aikaa tulevaisuuden visiointiin ja suunnitteluun.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Siedä epävarmuutta","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Emme parin kuukauden kovasta koulusta huolimatta pysty ennustamaan, mitä tulevaisuus tuo, mutta voimme valmistautua siihen paremmin. Yhä useampi yritys rakentaa tapoja ja ottaa käyttöön työkaluja ymmärtää ja ennakoida tulevaisuutta, asiakastarpeita ja toimintaympäristöön vaikuttavia muutosvoimia paremmin. Datan, asiakasymmärryksen, liiketoimintariskien ja -mahdollisuuksien perusteella muotoillaan ja arvioidaan skenaarioita, joista valitsemalla voidaan bisnestä ohjata tulevaisuuteen samalla, kun tasataan vallitsevaa myrskyä. Oikean skenaarionkaan valitsemiseen ei voi laittaa liikaa aikaa. Jos odotat, että valitset oikein ja sumu on hälvennyt, olet jo menettänyt pelin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitä kyvykkyyksiä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Menestyvä johtaja rikkoo nyt johtamisen rakenteisiin kehittyneitä sääntöjä. Kykymme keskittyä vaatii rinnalleen kykyä olla herkkänä toimintaympäristöämme ympäröivälle kohinalle, tunnistaa ja arvioida sen signaaleja. Taipumuksemme tukeutua tuttuun ja turvalliseen on järkkynyt. Emme ammenna enää koetusta menestyksestä ja sen opeista, vaan uudelleen asemoimme liiketoimintaamme epävarmuudessa - todennäköisesti muuttuvaa maalia kohti. Kokeilevasta, pivotoivasta kulttuurista tulee vahvempi osa uutta normaalia – ei vain palvelukehityksessä ja -tuotannossa, vaan myös johtamisessa ja strategiatyössä. Onneksi niin johdon kuin organisaationkin muutosjoustavuutta voi kehittää. Myös ","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":"teknologiaa, dataa ja analytiikkaa","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" voidaan hyödyntää osana ennakointia, liiketoimintaskenaarioita evaluoida ja testata yhä ketterämmin ja asiakaslähtöisemmin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Uskalla uudistaa","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka luonnollinen ensireaktio akuutissa kriisissä on kääntyä sisäänpäin, selviäminen edellyttää katsetta myös ulospäin. Meillä on kevään nopeiden suunnanmuutosten ja selviytymisen terästämää kykyä, taistelutahtoa ja työkaluja muotoilla ja valita, miten olla tulevaisuudessa relevantti. Nyt puretaan siiloja ja rikotaan lukkiintuneita arvoketjuja ja ekosysteemejä. Uudelleen järjestäytyminen ja kumppanoituminen tekevät monesta jatkossa vahvempia. Prosessien joustavuus ja nopea reagointi- ja päätöksentekokyky auttavat tuottamaan arvoa asiakkaille, joiden käyttäytymistä ohjaa yhä kasvava määrä yllätyksellisiäkin muutosvoimia. On aika mennä eteenpäin, rakentaa aktiivisesti uutta arkea.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"auttaa rakentamaan digitaalista transformaatiota, ketterää strategiaa ja kasvua, suunnittelemaan kestäviä arkkitehtuuriratkaisuja ja uudistamaan organisaatioiden muutoskyvykkyyttä. Nitorilla on vahva hands-on kokemus ja syvä ymmärrys asiakaslähtöisestä liiketoimintamuotoilusta, moderneista kehitysprosesseista ja digitaalisista teknologioista. Rakennamme kestävää digitaalista kehitystä alan parhaalla asiakastyytyväisyydellä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3IdTZn6hyUG7XjvaEKJB1q","type":"Entry","createdAt":"2020-12-09T07:19:49.769Z","updatedAt":"2020-12-17T21:44:18.325Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Satu Koivulehto","jobTitle":"Senior business advisor","email":"satu.koivulehto@nitor.com","phoneNumber":"+358 50 4033356","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/satukoivulehto/"},"content":[{"data":{},"marks":[],"value":"Satu Koivulehto","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" toimii Nitorilla Senior Business Advisorina. Satu on kokenut liiketoimintamuotoilun, digitaalisten palvelujen ja asiakaslähtöisen strategiatyön asiantuntija sekä johdon sparraaja. Vapaa-aikana Sadun sydän sykkii matkailulle, merelle ja musiikille hyvässä seurassa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3nDLY4rcl861n4bDRULTGT","type":"Asset","createdAt":"2020-11-27T17:22:22.530Z","updatedAt":"2020-11-27T17:22:22.530Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Satu Koivulehto profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/3nDLY4rcl861n4bDRULTGT/509253026f4648220b9c3eb7bae1a8bd/Satu_Koivulehto_profile_blue_cropped.jpg","details":{"size":1903631,"image":{"width":2000,"height":2000}},"fileName":"Satu_Koivulehto_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ZsRFvQADZotZnLeHcGdHa","type":"Entry","createdAt":"2020-10-28T20:55:30.676Z","updatedAt":"2020-10-28T20:55:30.676Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Strategia","slug":"strategia"}}],"slug":"ennakointi-innovointi-ja-muutosketteryys-pelastavat-nyt-organisaatioita","publishDate":"2020-06-12","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5q6zwonVUiSIqsxXlBLCCl","type":"Entry","createdAt":"2020-11-11T06:57:29.352Z","updatedAt":"2020-12-15T19:33:20.505Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Liiketoiminnan datastrategia","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Moderni datastrategia tuottaa tuloksia välittömästi ja teknologiariippumattomasti.  Sen avulla tunnistat bisneskriittisen tiedon ja osoitat datan liiketoimintahyödyt ilman teknologiainvestointeja. Avullamme rakennat yhteisen ymmärryksen siitä, mitä datalla voi ja kannattaa tehdä sekä miten se kannattaa järjestää. Saat myös tietää, mitä osaamista organisaatiosi tarvitsee. Pääset nopeasti kehittämään mukautumiskykyistä analytiikka-alustaa ja saavutat heti konkreettisia liiketoimintahyötyjä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4pMzYneMoeRd3DMl7COxbf","type":"Entry","createdAt":"2020-11-11T06:59:12.705Z","updatedAt":"2020-12-15T19:33:34.970Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Muutoskykyä tukeva teknologia","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Kehittyvä digitaalinen liiketoiminta vaatii arkkitehtuurivision, joka elää muuttuvien tarpeiden mukana. Hyödyntämällä adaptiivista arkkitehtuuria ja teknologiaa pystyt muuttamaan oikeita asioita ja tuottamaan innovatiivista liiketoimintaa. Me määrittelemme kanssasi yhteisen strategian teknologian kokonaisvaltaiselle ja joustavalle kehittämiselle. Autamme teknologiaratkaisujen valinnassa, pilvistrategiassa ja –transformaatiossa sekä perustoimintojen kestävässä kehittämisessä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4tP8jaPMe7x07hShxmutkO","type":"Entry","createdAt":"2020-11-11T07:00:32.377Z","updatedAt":"2020-12-15T19:33:50.238Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Digitaalinen liiketoimintamuotoilu","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkuva muutos vaatii kilpailukyvyn ja liiketoiminnan entistä nopeampaa kehittämistä. Kehittäminen on luovaa työtä, mutta se perustuu aina strategiaan, asiakasymmärrykseen ja liiketoiminnan tavoitteisiin. Asiakaslähtöisen muotoilun ja ketterän innovoinnin avulla tunnistat ja konkretisoit strategiset ideat sekä selvität niiden arvon. Luot uusia liiketoimintamahdollisuuksia sekä -malleja ja reagoit markkinoiden muutoksiin nopeammin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6GcuT9kEjgwEjjdi3fAHrI","type":"Entry","createdAt":"2020-11-11T07:01:45.332Z","updatedAt":"2020-12-15T19:34:08.090Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"fi-FI"},"fields":{"title":"Resilientti johtaminen","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Johto on resilienssin suunnannäyttäjä. 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Hyvä yritysarkkitehtuuri tukee ketterää kehitystä – ei vaikeuta sitä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kokonaisuuden ymmärtäminen on ensiarvoisen tärkeää. On oltava taho, joka suunnittelee asioita riittävän isosti mutta käytännönläheisesti. Tämä on osoittautunut usein vaikeaksi. 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Tällaisen rakenteen päälle omni-kanavaisuuden, asiakas360:n, big datan ynnä muun toteuttaminen on vaikeaa tai jopa mahdotonta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurin jakaminen pienempiin osiin on näennäisesti pieni askel, mutta käytännössä yksi tärkeimmistä askelista kohti hyvää yritysarkkitehtuuria.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Oleellista on ymmärtää jaon vaikutus yritysarkkitehtuurin lopputuloksiin. Siksi jako tulisi tehdä osana ylätason arkkitehtuurisuunnittelua. Jaon tulee huomioida sekä ketteryyden mahdollistaminen että kapselointi (encapsulation) ja riippuvuuksien minimointi. Pilkkomisessa tulee ymmärtää yrityksen liiketoiminta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Avain on suunnittelun pilkkominen liiketoiminnan kannalta oikein jaettuihin ja hallittaviin kokonaisuuksiin - arkkitehtuuridomaineihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien tulee olla arkkitehtuurivisio- ja arvovirtalähtöisiä. Näillä ei siis tarkoiteta TOGAF-tyyppistä neljää standardimallista arkkitehtuuridomainia (business, applications, data ja technical). TOGAF:in tapa jakaa arkkitehtuurisuunnitteludomainit ei toimi, koska se jakaa arkkitehtuurityön sisältötyypin perusteella.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien välisten riippuvuuksien suunnittelu on ratkaisevassa roolissa, jotta iso kokonaisuus pysyy hallittavana. Vaikka arkkitehtuuridomainit pyritäänkin jakamaan mahdollisimman itsenäisiin kokonaisuuksiin, niiden välisten riippuvuuksien ymmärtäminen ja suunnittelu ovat ison arkkitehtuurikokonaisuuden ydinasia.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Riippuvuudet tulee suunnitella siten, että ketteryys on mahdollista sitä vaativissa arkkitehtuuridomaineissa, eivätkä riippuvuudet vähemmän ketteriin (ja ketteryyttä vaativiin) arkkitehtuuridomaineihin hidasta kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Yritysten kehitysbudjetit ovat rajalliset, joten on tärkeää tunnistaa, mihin oma kehittäminen kannattaa kohdistaa ja missä voi hyödyntää valmiita palveluita tai tuotteita.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuridomainien välisten riippuvuuksien suunnittelu on ratkaisevassa roolissa, jotta iso kokonaisuus pysyy hallittavana.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Esimerkiksi Gartnerin Pace-Layered Application Strategy and IT Organizational Design (**) on hyvä apuväline arkkitehtuuridomainien luokittelussa. Pitää tunnistaa, missä arkkitehtuuridomaineissa tarvitaan ketteryyttä, mitä halutaan standardoida ja mitkä tippuvat tähän väliin. Tulee siis tunnistaa, millä alueilla halutaan innovoida tai vähintään erottua kilpailijoista ja millä taas sille ei ole tarvetta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Innovatiiviseen ratkaisuun ei yleensä löydy valmista ohjelmistotuotetta, joten pääsääntöisesti se joudutaan kehittämään itse. Tuotetta joudutaan yleensä kustomoimaan, jos halutaan erottua kilpailijoista. Näillä asioilla on vaikutusta arkkitehtuuridomainien välisiin riippuvuuksiin. Riippuvuuksien tulee olla aina innovatiivisemmasta standardimpaan ja ketterämmästä jäykempään päin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kun arkkitehtuuridomainien riippuvuudet ovat selkeät, voidaan niiden sisällä suunnitella arkkitehtuuria kohtuullisen vapaasti, eli mahdollistaa ketteryys. Yritysarkkitehtuuria suunnitellaan itsenäisinä hallittavan kokoisina paloina, mutta kuitenkin kaikki suunnittelevat samaa isoa kokonaisuutta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Käytännössä tärkein asia on kuitenkin se, että arkkitehtuuridomainit mahdollistavat kokonaisvaltaisesti suunnitellun ja modulaarisen yritysarkkitehtuurin rakentamisen. Tällä edesautetaan liiketoiminnan laajamittaista ketterää kehittämistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"* Conwayn laki:","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"\"organizations which design systems ... are constrained to produce designs which are copies of the communication structures of these organizations.\"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"**","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{"uri":"https://www.gartner.com/binaries/content/assets/events/keywords/applications/apn30/pace-layered-applications-research-report.pdf"},"content":[{"data":{},"marks":[],"value":"Gartner Pace-Layered Application Strategy and IT Organizational Design","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Lue myös aiemmat arkkitehtuuria käsittelevät blogit","nodeType":"text"},{"data":{},"marks":[],"value":":","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"G7D20EeDFxp0adagxuDtV5","type":"Entry","createdAt":"2020-12-09T11:00:58.162Z","updatedAt":"2020-12-17T17:30:56.867Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi"],"title":"Arkkitehdin rooli ketterässä organisaatiossa","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1W8KjO1oYp6jrx0aYuy8Yy","type":"Asset","createdAt":"2020-12-17T17:30:10.235Z","updatedAt":"2020-12-17T17:30:10.235Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Tommi Laitila","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/1W8KjO1oYp6jrx0aYuy8Yy/f9f4e086f03f647faf17ce6df5e2b216/Tommi_Laitila_portrait_copy.jpg","details":{"size":452524,"image":{"width":3200,"height":2133}},"fileName":"Tommi_Laitila_portrait copy.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"​Nykyaikaisen arkkitehtuuritekemisen on toimittava ketteryyden ja kokeilemisen mahdollistajana sen sijaan, että se heittäisi kapuloita ketteryyden rattaisiin ja ankeuttaisi tekemistä byrokraattisella valvontakoneistolla. Asioita ei voi kiinnittää etukäteen, mutta isojen arkkitehtuurilinjojen on pysyttävä ohjauksessa, jotta tuotetut ratkaisut istuvat integroituun kokonaisuuteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Haasteena on löytää oikea tapa tehdä arkkitehtuuria, jolla yhtä aikaa mahdollistetaan ketterä kehitys ja samalla ohjataan tuotoksia kohti suunniteltua kokonaisuutta. Suunnitelmien tulee olla samanaikaisesti kokonaisvaltaisia että konkreettisia – lisäksi niiden tulee olla jatkuvasti ajan tasalla. Alati muuttuvassa toimintakentässä nykytilan kuvaus, prosessien mallintaminen ja isot yritystason informaatioarkkitehtuuriharjoitukset eivät enää ehdi tukemaan kehitystä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä on oleellista ymmärtää organisaatio kokonaisuutena, mutta samalla pilkkoa ja vastuuttaa arkkitehtuurin suunnittelu mahdollisimman itsenäisiin osakokonaisuuksiin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuuksien määrittely ja niiden välisten riippuvuuksien ymmärtäminen on kokonaisuuden toimimisen kannalta avainasemassa. Jaon tulee perustua syvälliseen arkkitehtuuriosaamiseen – pelkkä IT-organisaatiorakenteen tai järjestelmäkartan kopiominen ei tässä riitä. Onnistuneen jaon tekeminen vaatiikin laajaa teknologiatuntemusta sekä kykyä luoda ylätason arkkitehtuurivisio.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuurityössä ei kannata haaskata aikaa todellisuudesta irti olevien laatikoiden ja nuolten piirtelylle. Modernin arkkitehdin on oltava teknisesti osaava, teknologiat ja tuotteet hyvin tunteva.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtejä ei tulisi kategorisesti jakaa yritysarkkitehteihin, ratkaisuarkkitehteihin tai sovellusarkkitehteihin. Nämä ovat roolinimikkeitä, joiden välillä arkkitehti liikkuu tarpeen mukaan. Organisaatiossa ei tulisikaan enää olla tarvetta eriliselle arkkitehtuurin hyväksymisprosessille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Osakokonaisuudesta vastaava domain -arkkitehti suunnittelee vastuualueensa kokonaisarkkitehtuuria, mutta toimii myös ratkaisuarkkitehdin roolissa osakokonaisuuteen kuuluvissa kysymyksissä. Samoin ratkaisuarkkitehtien on hyvä olla välillä sovellusarkkitehtina tai lead developerina jossain tiimissä. Vaikka arkkitehtuurirooleja vaihdetaan lennossa, ei se tarkoita, että kaikkien tulisi osata kaikkea. Arkkitehdit toimivat itseohjautuvana tiiminä. Erikoistuminen on luonnollista ja jopa rohkaistavaa, kunhan varmistetaan, että riittävä osaaminen perusasioista säilyy.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jatkuva avoin dialogi kehittäjien kanssa tapahtuu automaattisesti, kun arkkitehdit ovat kiinteästi mukana kehittämisessä. Tällä myös varmistetaan arkkitehtuurityön ketteryys, koska arkkitehdit näkevät tulevat tarpeet heti, kun ne ilmaantuvat. Tämä on näppärä tapa varmistaa, että arkkitehdeillä säilyy osaaminen teknologioista.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lue lisää aiheesta: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Arkkitehtuuriohjauksen dilemma","nodeType":"text"}],"nodeType":"entry-hyperlink"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"PV2mA2lLgyQI0BxUtXrq4","type":"Entry","createdAt":"2020-08-12T10:37:06.814Z","updatedAt":"2020-12-15T11:10:13.234Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Tommi Laitila","jobTitle":"CTO","email":"tommi.laitila@nitor.com","phoneNumber":"+358 40 0861212","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tommi Laitila on kokenut yritysarkkitehti sekä ketterien ja lean -menetelmien valmentaja ja kouluttaja. 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Tommi on myös yksi Nitorin perustajista ja Nitorin teknologiajohtaja. 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Miten liiketoimintaa voi kehittää, kun kasvava määrä hallitsemattomia muutosvoimia vaikuttaa asiakkaiden käyttäytymiseen, odotuksiin ja mahdollisuuksiin tarttua tarjolla oleviin palveluihin?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Koronakevät väsyttää, ja odotus tulevasta auttaa meitä kaikkia eteenpäin. Harvalla organisaatiolla on kuitenkin mahdollisuus pelkälle odottamisen luksukselle. Viime kuukaudet ovat paljastaneet niin yritysten haavoittuvaisuuden kuin muutoskyvykkyyden. Ennen kaikkea ne ovat kuitenkin jo lyhyessä ajassa kerryttäneet oppeja siitä, mihin meidän on tartuttava jo nyt onnistuaksemme tulevaisuudessa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kuluneina viikkoina yritysjohtajien kanssa keskusteltuani ja yleistä talousuutisointia seurattuani on käynyt selväksi, että monet liiketoiminnan lainalaisuudet ovat rikkoontuneet. Muodonmuutosta eivät ole kokeneet vain palvelukanavat ja tuotantolinjat, vaan asiakasvalinnat, bisnesmallit ja tapamme organisoitua niiden toteuttamiseksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Organisaatioiden liiketoimintamallit, päätöksenteko, kyvykkyyksien joustavuus sekä toiminnan ketteryys ovat joutuneet monella toimialalla kovaan testiin. Useiden ravintoloiden jouduttua sulkemaan ovensa henkilökuntaa siirtyi tukemaan ruoan verkkokaupan toimituskykyä myymälöihin. ABC-asemat alkoivat toimittaa ennakkoon tilattuja aterioita turvallisesti ja helposti suoraan autoon. Messu- ja myymälätilojen kalustajien suunnittelu- ja tuotantoprosessit taipuivat tuottamaan pleksilaseja take away -ravintoloiden ja päivittäistavarakauppojen kassoille.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kyky innovoida, kokeilla ja viedä käytäntöön nopeasti onkin pelastanut monen vaikeaan tilanteeseen joutuneen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso eteenpäin","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pandemiassa elämme vaiheesta toiseen ja pyrimme ennustamaan seuraavia. Tunnistamme ja arvioimme tarvittavia toimia vaiheisiin valmistautumiseksi ja niiden voittamiseksi. Ensishokin jälkeen yhä useampi organisaatio valmistautuu aikaan pandemian jälkeen. Se tulee, vaikka akuutissa kriisissä voi olla vaikea nähdä, että seuraavan kasvun siemenet kylvetään keskellä nykyistä kriisiä. Haluankin kannustaa johtajia katsomaan kriisin yli ja osallistamaan myös organisaatiotaan tähän. Keskellä nykyhetken taloudellisten ja inhimillisten menetysten minimointia johdon on oikein ja välttämätöntä varata aikaa tulevaisuuden visiointiin ja suunnitteluun.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Siedä epävarmuutta","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Emme parin kuukauden kovasta koulusta huolimatta pysty ennustamaan, mitä tulevaisuus tuo, mutta voimme valmistautua siihen paremmin. Yhä useampi yritys rakentaa tapoja ja ottaa käyttöön työkaluja ymmärtää ja ennakoida tulevaisuutta, asiakastarpeita ja toimintaympäristöön vaikuttavia muutosvoimia paremmin. Datan, asiakasymmärryksen, liiketoimintariskien ja -mahdollisuuksien perusteella muotoillaan ja arvioidaan skenaarioita, joista valitsemalla voidaan bisnestä ohjata tulevaisuuteen samalla, kun tasataan vallitsevaa myrskyä. Oikean skenaarionkaan valitsemiseen ei voi laittaa liikaa aikaa. Jos odotat, että valitset oikein ja sumu on hälvennyt, olet jo menettänyt pelin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitä kyvykkyyksiä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Menestyvä johtaja rikkoo nyt johtamisen rakenteisiin kehittyneitä sääntöjä. Kykymme keskittyä vaatii rinnalleen kykyä olla herkkänä toimintaympäristöämme ympäröivälle kohinalle, tunnistaa ja arvioida sen signaaleja. Taipumuksemme tukeutua tuttuun ja turvalliseen on järkkynyt. Emme ammenna enää koetusta menestyksestä ja sen opeista, vaan uudelleen asemoimme liiketoimintaamme epävarmuudessa - todennäköisesti muuttuvaa maalia kohti. Kokeilevasta, pivotoivasta kulttuurista tulee vahvempi osa uutta normaalia – ei vain palvelukehityksessä ja -tuotannossa, vaan myös johtamisessa ja strategiatyössä. Onneksi niin johdon kuin organisaationkin muutosjoustavuutta voi kehittää. Myös ","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"​Tietohallintojohtaja - siirry tiedon keräämisestä sen hyödyntämiseen","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Datan hyödyntämisen vallankumous lähtee laskentatehon kasvusta ja open source -kehityksestä. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat jo vapaasti saatavilla. Lue Nitorin analytiikan liiketoimintajohtajan Samuli Visurin neuvot parhaaseen analytiikan hyötykäyttöön.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tekoälyn ja koneoppimisen osalta on yleinen illuusio, että yksittäinen teknologia, ohjelmisto tai algoritmi auttaisi yritystä tuomaan uutta puhtia liiketoimintaansa. Olisi ikään kuin olemassa jonkinlainen musta laatikko, joka jauhaa sinne toimitetun tiedon ja tuottaa lopputuloksena ohjenuoran, miten liiketoimintaa pitäisi tehdä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo heti alkuun pettymys: mustaa laatikkoa ei ole. Uutta mystistä läpimurtoa ei ole algoritmien osalta tapahtunut, eikä mikään ohjelmisto pysty standardoimaan datan käsittelyä ja tulevaisuuden ennustamista. Oikeasti liiketoimintaa hyödyntäviä tuloksia ei harmi kyllä synny yhdistelemällä nuolella datalähteitä kristallipalloon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sen sijaan yksinkertaisillakin asioilla päästään liikkeelle. Datan hyödyntämisen vallankumous lähtee nimenomaan laskentatehon kasvusta ja open source -kehityksestä. Yritys saa halutessaan tehokkaan laskentaympäristön käyntiin minuuteissa käyttäen pilvipalveluja, ja vieläpä kohtuullisin kuluin. Tarvittavat algoritmit datan käsittelyyn ja tulevaisuuden ennustamiseen ovat vapaasti kaikkien saatavilla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvä uutinen on siis se, että liiketoiminnasta vastaavan ei tarvitse vaikeroida teknologiavalintojen suossa. Ei myöskään tarvita kalliita lisenssejä. Riittää, kun paikalla on asiantuntija, joka osaa käyttää ja muokata algoritmeja yrityksen liiketoimintaan sopivaksi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 1: ole kärsimätön","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan hyötyjen realisoimiseksi ei tarvita isoja, vuosia kestäviä projekteja. Vaikka houkutus on suunnitella ensin iso projekti, jossa kaikki data on kätevästi koko organisaation saatavilla ja vieläpä hyvin jäsenneltynä, on hedelmällisempää lähteä liikkeelle toisesta suunnasta. Miten saamme nopeasti hyötyä juuri meidän omistuksessamme olevasta tiedosta ja miten voimme vauhdittaa tällä liiketoimintaamme? Nykyajan teknologia on modulaarista ja oikein suunniteltuna myös joustavaa. Koko organisaation kattava projekti on helpompi suunnitella, kun on ymmärrys saavutettavista hyödyistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 2: siedä datan epäjärjestystä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Aika usein toistuva toteamus on, että emme voi tehdä tätä ennen kuin data on paremmin järjestyksessä.","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"Tarvitaan tarkat kuvaukset. Datassa on virheitä. Nämä pitää korjata ensin.","nodeType":"text"},{"data":{},"marks":[],"value":" On tietenkin hyödyllistä työstää yrityksen tietomassat niin, että ne ovat järjestyksessä. Tämän ei kuitenkaan pidä jarruttaa kehitystä, sillä kokenut ammattilainen pystyy korjaamaan puutteellisen datan nopeasti. Asiansa osaava pystyy kirjoittamaan algoritmit, jotka yhdenmukaistavat vaikkapa erilaiset kirjaamistavat ja estimoivat puuttuvat tiedot joidenkin muiden piirteiden avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 3: yksinkertaista ja onnistu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liiketoiminnassa on pohjimmiltaan kyse tulevaisuuden ennustamisesta ja oman ennusteen valossa toimimisesta. Tekoälyn ja koneoppimisen hyväksikäytössä ei ole kyse siitä, miten hienoja algoritmeja osataan käyttää vaan siitä, miten liiketoiminnan oleelliset kysymykset yksinkertaistetaan matemaattisiksi malleiksi. Se voittaa, joka löytää oikean abstraktion liiketoiminnan oleellisesta kysymyksestä, ja vieläpä niin, että kysymykseen saadaan vastaus.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ohje 4: hanki osaamista, josta on heti hyötyä","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Toimivin resepti on lähes aina nopeasti käyttöön saatava Proof-of-Concept tai pienempikin ratkaisu, josta saadaan heti mitattavaa liiketoimintahyötyä. Tämä on tietysti helpommin sanottu kuin tehty! Kokenut ammattilainen pystyy kuitenkin yhdessä liiketoiminta-asiantuntijoiden kanssa löytämään kohteen, josta kannattaa lähteä liikkeelle. Konsultti ei ole paras neuvomaan, miten liiketoimintaa tulee tehdä. Mutta hän tietää datan käytön mahdollisuudet ja osaa valjastaa isot datamassat siten, että niistä on liiketoiminnan johtamiseen ja kehittämiseen liittyvässä päätöksenteossa hyötyä. Kun liiketoiminta hyötyy, asiantuntijat innostuvat ja syntyy yhä parempien tulosten ja positiivisuuden kierre.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Lopuksi","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analytiikan ostamisen kannalta valinta on helppo. Kannattaa valita asiakasta ymmärtävä, asiansa osaava data scientist. Me Nitorilla panostamme siihen, että ratkaisemme asiakkaan ongelmia liiketoimintalähtöisesti ja ongelmanratkaisuun parhaiten soveltuvilla työkaluilla, emmekä lähesty ratkaisua teknologia edellä. Jos kiinnostuit, tulemme mielellämme ideoimaan sopivia kehityskohteita ja luomaan konkreettista liiketoimintahyötyä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytiikkapalvelut","email":"samuli.visuri@nitor.com","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/samuli-visuri/"},"content":[{"data":{},"marks":[],"value":"Samuli Visuri","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" on Nitor Insightin toimitusjohtaja, joka työssään auttaa yrityksiä löytämään liiketoimintahyötyjä datan avulla. Samulilla on laaja kokemus analytiikan käytöstä useissa suomalaisissa pörssiyhtiöissä. Nitor Insight tarjoaa tutkimus- ja konsultointipalveluita datan, tekoälyn ja koneoppimisen hyödyntämisessä.\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2020-10-28T20:52:06.202Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Analytiikka","slug":"analytiikka"}}],"slug":"tietohallintojohtaja-siirry-tiedon-keraamisesta-sen-hyodyntamiseen","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":"teknologiaa, dataa ja analytiikkaa","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" voidaan hyödyntää osana ennakointia, liiketoimintaskenaarioita evaluoida ja testata yhä ketterämmin ja asiakaslähtöisemmin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Uskalla uudistaa","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka luonnollinen ensireaktio akuutissa kriisissä on kääntyä sisäänpäin, selviäminen edellyttää katsetta myös ulospäin. Meillä on kevään nopeiden suunnanmuutosten ja selviytymisen terästämää kykyä, taistelutahtoa ja työkaluja muotoilla ja valita, miten olla tulevaisuudessa relevantti. Nyt puretaan siiloja ja rikotaan lukkiintuneita arvoketjuja ja ekosysteemejä. Uudelleen järjestäytyminen ja kumppanoituminen tekevät monesta jatkossa vahvempia. Prosessien joustavuus ja nopea reagointi- ja päätöksentekokyky auttavat tuottamaan arvoa asiakkaille, joiden käyttäytymistä ohjaa yhä kasvava määrä yllätyksellisiäkin muutosvoimia. On aika mennä eteenpäin, rakentaa aktiivisesti uutta arkea.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"auttaa rakentamaan digitaalista transformaatiota, ketterää strategiaa ja kasvua, suunnittelemaan kestäviä arkkitehtuuriratkaisuja ja uudistamaan organisaatioiden muutoskyvykkyyttä. Nitorilla on vahva hands-on kokemus ja syvä ymmärrys asiakaslähtöisestä liiketoimintamuotoilusta, moderneista kehitysprosesseista ja digitaalisista teknologioista. Rakennamme kestävää digitaalista kehitystä alan parhaalla asiakastyytyväisyydellä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3IdTZn6hyUG7XjvaEKJB1q","type":"Entry","createdAt":"2020-12-09T07:19:49.769Z","updatedAt":"2020-12-17T21:44:18.325Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"fi-FI"},"fields":{"name":"Satu Koivulehto","jobTitle":"Senior business advisor","email":"satu.koivulehto@nitor.com","phoneNumber":"+358 50 4033356","description":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.linkedin.com/in/satukoivulehto/"},"content":[{"data":{},"marks":[],"value":"Satu Koivulehto","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" toimii Nitorilla Senior Business Advisorina. Satu on kokenut liiketoimintamuotoilun, digitaalisten palvelujen ja asiakaslähtöisen strategiatyön asiantuntija sekä johdon sparraaja. Vapaa-aikana Sadun sydän sykkii matkailulle, merelle ja musiikille hyvässä seurassa.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3nDLY4rcl861n4bDRULTGT","type":"Asset","createdAt":"2020-11-27T17:22:22.530Z","updatedAt":"2020-11-27T17:22:22.530Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Satu Koivulehto profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/3nDLY4rcl861n4bDRULTGT/509253026f4648220b9c3eb7bae1a8bd/Satu_Koivulehto_profile_blue_cropped.jpg","details":{"size":1903631,"image":{"width":2000,"height":2000}},"fileName":"Satu_Koivulehto_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ZsRFvQADZotZnLeHcGdHa","type":"Entry","createdAt":"2020-10-28T20:55:30.676Z","updatedAt":"2020-10-28T20:55:30.676Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Strategia","slug":"strategia"}}],"slug":"ennakointi-innovointi-ja-muutosketteryys-pelastavat-nyt-organisaatioita","publishDate":"2020-06-12","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"nhrsvS4XzX7oUxN6LJF1u5","type":"Entry","createdAt":"2020-12-08T08:17:31.042Z","updatedAt":"2020-12-08T08:17:31.042Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"fi-FI"},"fields":{"lang":["fi"],"title":"DNA, GPTW ykkönen, asetti ketterän toimintansa riman korkealle","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"08aSs8WY9hRS70boQ7RCl6","type":"Asset","createdAt":"2020-11-27T16:56:59.441Z","updatedAt":"2020-11-27T16:56:59.441Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Blogi_dna_ketteryydentila_analyysi.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/08aSs8WY9hRS70boQ7RCl6/9ba83ae84747920d812e49b1db6bd28b/Blogi_dna_ketteryydentila_analyysi.jpg","details":{"size":923137,"image":{"width":2400,"height":1350}},"fileName":"Blogi_dna_ketteryydentila_analyysi.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Teleoperaattori DNA on tehnyt IT-tason ketteröitymistä ansiokkaasti jo useamman vuoden ajan. Ketterän kehityksen malli sopii hyvin DNA:n rohkeaan ja kokeilevaan kulttuuriin.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Ketteryyden hyödyt ovat tulleet jo selvästi näkyviin nopeutuneen ja sujuvoituneen kehitystyön myötä. Samalla he kuitenkin huomasivat, että pelkkä tuotekehityksen ketteröitys ei riitä takaamaan parasta mahdollista lopputulosta, vaan ketterät toimintatavat pitää ulottaa kaikkialle organisaatioon – ylintä johtoa myöten.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"DNA:n henkilöstöjohtaja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Marko Rissanen","nodeType":"text"},{"data":{},"marks":[],"value":" kutsui alkusyksystä meidät selvittämään Ketteryyden nykytila -analyysin avulla, millainen heidän koko organisaationsa ketteryyden tila on.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Kehitettävien asioiden näkyväksi tekeminen avasi DNA:lle mahdollisuuden ottaa seuraava askel ketteryyden eteenpäinviennissä, johtoryhmän vahvalla mandaatilla”, kertoo Rissanen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mitä Ketteryyden nykytila -analyysi käytännössä sisältää?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ketteryyden nykytila -analyysissa pureudumme muun muassa päätöksentekorakenteisiin, tiedonkulkuun, optimointiin, tiiminä tekemiseen, oppimiseen ja toiminnan asiakassuuntautuneisuuteen. Analyysi tähtää laajasti organisaatiotason ketteryyden ja mahdollisuuksien kartoittamiseen eli niin sanotun business-ketteryyden tukemiseen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tavoitteena ei siis ole pelkästään tuotekehityksen ketteryyden nykytilan selvittäminen, vaan analyysiin sisällytetään toimintoja mahdollisimman monipuolisesti eri puolilta organisaatiosta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kenelle Ketteryyden nykytila -analyysi soveltuu?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Olemme toteuttaneet analyysin mm. ravintola-alalla toimivalle isolle organisaatiolle. Siellä huomattiin, että perinteinen projektipohjainen tapa toimia ei vastannut riittävän nopeasti mm. muuttuviin ruokailutrendeihin. Tämä analyysi osoitti oivallisesti, että myös ravintolaliiketoimintaa voidaan haastaa ketterän analyysin avulla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kuten tänä syksynä toteuttamamme nykytila-analyysit osoittavat, analyysi soveltuu sekä ketterää toimintatapaa jo soveltaville organisaatioille, että myös niille, jotka vasta miettivät organisaationsa toimintatapojen ketteröittämistä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analyysin tulokset jalostetaan yhdessä koko henkilökunnan kanssa","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Analyysin tulokset puretaan ja käsitellään yhdessä organisaation henkilöstön ja johdon kanssa, jotta kaikki henkilöstöryhmät pääsevät heti asiaan kiinni. Yhdessä käsitellen tulokset jalostuvat konkreettisiksi edistettäviksi asioiksi ja toimenpiteiksi. Samalla ketteryyden visio ja askeleet sen saavuttamiseksi muodostuvat kaikkien yhteiseksi päämääräksi. Muutos on mahdollista käynnistää heti, koko organisaation tasolla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nykytila-analyysin avulla organisaatio saa ulkopuolisen, puolueettoman näkökulman organisaation tilanteeseen. Vankka tutkimustaustamme sekä syvä kokemuspohjamme antavat nopeasti mahdollisuuden katsoa pintaa syvemmälle – pureutua juurisyihin, jotka eivät ole aina helposti nähtävillä arkisessa toiminnassa. Näin varmistamme, että kehittämiskohteet valitaan oikein – että organisaatiossa ei lähdetä hoitamaan pinnallisia ongelmia, jos oikeat syyt ovatkin syvemmällä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Laadun takaamiseksi analyysin tekee aina kaksi valmentajaa. Useampi silmäpari näkee monipuolisemmin, ja kahden henkilön yhdessä puntaroimat tilanteen tulkinnat tuovat analyysiin lisää syvyyttä. Ja onhan yhdessä tekeminen ketteryyden peruselementtejä, joten toimimme tässä esimerkkinä!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Kuule lisää ketteryyden nykytila-analyysista","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jos sinä haluat tietää miten saat läpinäkyvyyttä ketterän toimintamallin hyötyihin, ota yhteyttä asiantuntijoihimme Minna Janhoseen minna.janhonen(a)nitor.com tai Kirsi Mikkoseen kirsi.mikkonen(a)nitor.com\n","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6ibUTJBrlcSrTM4JftTnPF","type":"Entry","createdAt":"2020-09-29T20:55:45.997Z","updatedAt":"2020-10-28T20:50:57.948Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ketteryys","slug":"ketteryys"}}],"slug":"dna-gptw-ykkonen-asetti-ketteran-toimintansa-riman-korkealle","publishDate":"2019-11-27","showRelatedArticles":true}}]}}]}}]}},"entryHrefsByLang":{"fi":"/fi/palvelut","en":"/en/services"},"preview":false},"__N_SSG":true}