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Asiakaskuntamme kasvoi ja taloudellinen asemamme vahvistui entisestään. Myös tämä vuosi on lähtenyt liikkeelle kaikesta huolimatta hyvässä vauhdissa. Kestävälle digitaaliselle kehitykselle on tarvetta poikkeustilan kiihdyttäessä digitalisaatiota ja liikevaihtomme onkin kasvanut noin 20 % vauhdissa vuonna 2020“, Olli Auvinen sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Helsingissä ja Tukholmassa toimiva Nitor on viime vuosina laajentanut palveluvalikoimaansa. Digitaalisten palveluiden suunnittelun ja kehittämisen ohella yhä useampi sen asiakkaista hyödyntää tiedolla johtamisen, data-analytiikan sekä muutoskonsultoinnin palveluita liiketoiminnassaan. 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Polaris tuottaa myös asiakasrajapintaan tietoa muun muassa Finnair.com -verkkosivuille, poikkeustilaviestintään sekä CRM-järjestelmien käyttöön. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Kuvat: Finnair","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"sidePanelTitle":"Finnairin uusi lentotietojärjestelmä","sidePanelCustomer":"Finnair","sidePanelImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5xgDwmQraNzE0I6yB0gKAr","type":"Asset","createdAt":"2020-12-17T09:05:26.218Z","updatedAt":"2020-12-17T10:58:02.391Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"locale":"fi-FI"},"fields":{"title":"Finnair Emblem","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5xgDwmQraNzE0I6yB0gKAr/79cf28ce75a1ecaa9f78da9e204ed2a7/Finnair-Emblem.png","details":{"size":19901,"image":{"width":480,"height":480}},"fileName":"Finnair-Emblem.png","contentType":"image/png"}}},"sidePanelText":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Haaste ","nodeType":"text"},{"data":{},"marks":[],"value":"Kuinka toteutetaan lentotietojärjestelmä, jonka datan avulla myös muita tukitoimintoja saadaan tehostettua.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Tulokset ","nodeType":"text"},{"data":{},"marks":[],"value":"Kustannustehokkaamman järjestelmän läpinäkyvyys ja ylläpidettävyys paranivat merkittävästi. 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Olen ylpeä, että saimme näin laajan järjestelmän onnistuneesti asiakkaamme käyttöön verrattain lyhyessä ajassa.","marks":[],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Toni Tapper, ","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Senior Solution Architect, Polaris","marks":[],"data":{}}],"data":{}}]}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4aJHAVQT8I1H5IUxOOBwov","type":"Entry","createdAt":"2020-12-17T08:00:59.142Z","updatedAt":"2020-12-17T08:00:59.142Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"keyDataBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Polaris Key Data","keyData":[]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1IOfx6o3BloYsmtNhjTock","type":"Entry","createdAt":"2020-12-17T08:37:57.149Z","updatedAt":"2020-12-17T08:49:37.689Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"imageAndTextBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Polaris Solution","title":"Uusi järjestelmä toteutettiin kestävillä ja innovatiivisilla ratkaisuilla","text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Kustannustehokkaat teknologiat laskivat kuluja\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Polariksen myötä Finnair otti käyttöön uusia ajanmukaisia teknologioita. Uudessa järjestelmässä tilan läpinäkyvyys ja ylläpidettävyys paranivat huomattavasti, ja Finnair saattoi ottaa jatkokehityksen sekä ylläpidon vastuulleen. Polaris on rakennettu nykypäivän ajattelutavalla Amazon Web Services -pilveen hyödyntäen Serverless ja Managed Services -palveluita. Infrastruktuurin ylläpidosta vastaa AWS. Ratkaisun ansiosta myös kulut laskivat, sillä ne muodostuvat käytön mukaan.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Aluksi varmistettiin arkkitehtuurin sopivuus\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Proof of Concept -vaiheen toteutuksessa tehtiin alustavia teknologiavalintoja ja varmistettiin valitun arkkitehtuurin sopivuus. Valintoihin palattiin projektin aikana muun muassa ottamalla käyttöön oikea RDS-tietokanta (Aurora RDS, PostgreSQL, jsonb, GIN indexing) DynamoDB-dokumenttikannan sijaan.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Versioivan kannan avulla jokaisen muutoksen vaikutukset ovat seurattavissa\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Järjestelmä päätettiin toteuttaa siten, että minkään suoritusvaiheen yksittäinen ongelma ei vaikuta kokonaisuuden toimimiseen. Tämä johti Lambdalla toteutettujen loogisten suoritusvaiheiden erottamiseen toisistaan SQS-jonojen kautta, joita luetaan kunkin sanoman käsittelemiseen erikoistuneilla Lambda-funktioilla. Järjestelmän tila toteutettiin versioivaan tietokantaan, jonka avulla jokaisen yksittäisen muutoksen vaikutukset voidaan nähdä myöhemmin.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Kullekin vastaanottajalle välitetään vain relevantit päivitykset\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Polariksen tapahtumapohjaista rajapintaa ohjaamaan toteutettiin Apachen Kafka-järjestelmän periaatteita vastaava publish/subscribe-malli, jossa kunkin vastaanottajan tila ylläpidetään erikseen tietokannassa. Toteutus tehtiin Lambda-funktioita hyödyntäen, joten kokonaisuus sai lempinimen Lafka. Järjestelmä kykenee erottelemaan kaikki muutokset hienojakoisesti ja välittämään vastaanottajille vain niitä kiinnostavia päivityksiä.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Monitoroinnin avulla häiriöihin on helppo puuttua\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Polarikseen toteutettiin myös kattavat järjestelmän tilan monitoroinnin mahdollistavat dashboardit sekä relevantit hälytykset muun muassa tietovirtojen anomalioiden tunnistamiseen sekä teknisten ja sisällöllisten häiriötilanteiden esiin nostamiseen.","marks":[],"data":{}}],"data":{}}]}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4OnRjCVJzV3QiS7XpJVwvv","type":"Entry","createdAt":"2020-12-17T09:53:53.979Z","updatedAt":"2020-12-17T09:53:53.979Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"imageBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Pilots","image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2KH6fojVdsSgreH133BC2r","type":"Asset","createdAt":"2020-12-17T09:53:48.977Z","updatedAt":"2020-12-17T10:10:43.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Finnair Pilots","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2KH6fojVdsSgreH133BC2r/45b289ab3bce6daa9a8757922ca896f1/Finnair_A350_cockpit_pilots_2.jpg","details":{"size":2246142,"image":{"width":3200,"height":2132}},"fileName":"Finnair_A350_cockpit_pilots_2.jpg","contentType":"image/jpeg"}}}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"77mvjUWTuqXFLZrIEO9rwx","type":"Entry","createdAt":"2020-12-17T08:44:09.317Z","updatedAt":"2020-12-17T09:11:30.788Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"twoColumnTextBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Polaris process","title":"Pitkäaikainen kumppani valittiin toteuttamaan kriittistä järjestelmää","text1":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Hyvin suunniteltu käynnistys helpotti olemassa olevien järjestelmien siirtoa Polarikseen\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Projekti käynnistettiin teknologisella Proof of Concept -vaiheella, jossa testattiin ensimmäisten tietovirtojen toteutus. Konsepti validoitiin ja ratkaisua muokattiin havaintojen perusteella. Lisäksi Finnair ja Nitor päättivät yhdessä, että vanha järjestelmä ja Polaris toimivat aluksi rinnakkain. Kun tietoja hyödyntäviä järjestelmiä siirrettiin yksi kerrallaan Polarikseen, oli helppo oppia lisää kytkeytyvien järjestelmien tarpeista ja käytetyistä teknologioista.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"","marks":[],"data":{}}],"data":{}}]},"text2":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Projektiin sisällytetyllä käyttöönoton koordinoinnilla varmistettiin käyttöönoton sujuvuus\n","nodeType":"text"},{"data":{},"marks":[],"value":"Uuden järjestelmän käyttöönotto on haaste kaikissa laajoissa migraatioprojekteissa. Polariksen yhteydessä päätettiin rakentaa yhdenmukainen rajapinta kaikille lentotietoja käyttäville järjestelmille. Yhteisen domain-mallin muodostaminen koko organisaatiolle vähentäisi järjestelmän ylläpitokuormaa jatkossa. Muutoksen läpiviemiseksi kaikkien kytkettävien järjestelmien piti mukautua Polariksen rajapintaan. Käyttöönottojen koordinointi oli merkittävä osa projektia.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"AWyFcHFXxBipU40HcqqIf","type":"Entry","createdAt":"2020-12-17T09:52:13.913Z","updatedAt":"2020-12-17T09:52:13.913Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"imageBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair cargo loading","image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"77ryDjnEaSF4Ty7FOZS4J0","type":"Asset","createdAt":"2020-12-17T09:51:54.919Z","updatedAt":"2020-12-17T10:11:30.595Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"finnair cargo7987","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/77ryDjnEaSF4Ty7FOZS4J0/99baa72632549392bc57a3c4962e260e/finnair_cargo7987.jpg","details":{"size":3970322,"image":{"width":3200,"height":2133}},"fileName":"finnair cargo7987.jpg","contentType":"image/jpeg"}}}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1usIinGcerlzJ0LcvJzHWL","type":"Entry","createdAt":"2020-12-17T09:10:56.891Z","updatedAt":"2020-12-17T09:10:56.891Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"twoColumnTextBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Polaris quote 2","text1":{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Projektia on tehty koko ajan iteratiivisesti ja oppien. Teimme yhdessä päätöksen, että vanha järjestelmä ja Polaris toimivat aluksi rinnakkain. Sitä mukaa, kun tietoja hyödyntäviä järjestelmiä siirrettiin yksi kerrallaan Polarikseen, opimme lisää kytkeytyvien järjestelmien tarpeista ja käytetystä teknologiasta.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Toni Tapper","nodeType":"text"},{"data":{},"marks":[],"value":", Senior Solution Architect, Polaris","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3woXO3uSGGQdXwC98h77Uy","type":"Entry","createdAt":"2020-12-17T09:19:37.729Z","updatedAt":"2020-12-17T09:19:37.729Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"twoColumnTextBlock"}},"locale":"fi-FI"},"fields":{"name":"Finnair Polaris team","title":"Ketterä tiimi Polariksen takana","text1":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Luottamus onnistuneen yhteistyön takana\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Nitor valittiin Finnairin kumppaniksi Polaris-projektissa pitkän yhteistyön myötä rakentuneen luottamuksen ansiosta. Digitaalisen insinööritoimiston pilvipalveluosaaminen ja pitkäaikainen arkkitehtuurikonsultointisuhde mahdollistivat laajan ja kriittisen järjestelmän korvaamisprojektin vetämisen.","marks":[],"data":{}}],"data":{}}]},"text2":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Projektitiimi koostui sekä Nitorin että Finnairin väestä\n","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"Polariksen toteutti yhdessä Finnairin kanssa Nitorin ketterä kehitystiimi, jolla on ollut tuotanto- ja ylläpitovastuu ratkaisusta. Lisäksi Nitor toimitti järjestelmälle kattavan 24/7 tuki- ja ylläpitopalvelun, hälytysautomaation ja puhelinpäivystyksen. Finnairilta projektitiimissä olivat mukana sujuvan tekemisen varmistamiseksi projektipäällikkö, tuoteomistaja, IT-arkkitehti sekä kehittäjiä. 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Tee kanssamme kestävää digitaalista kehitystä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"46lr8lRyhwOUnctupNk6B","type":"Asset","createdAt":"2020-12-17T13:59:59.062Z","updatedAt":"2020-12-17T13:59:59.062Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Juha Larjomaa on blue background","description":"1:1","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/46lr8lRyhwOUnctupNk6B/21fe782470a66b5883c99a9d838f3b7d/Juha_Larjomaa_1_1.png","details":{"size":2029638,"image":{"width":1725,"height":1725}},"fileName":"Juha Larjomaa 1_1.png","contentType":"image/png"}}},"actions":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1781g7lTiumVfkhHK0iuzw","type":"Entry","createdAt":"2020-07-28T12:46:05.095Z","updatedAt":"2020-12-12T14:29:13.311Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"button"}},"locale":"fi-FI"},"fields":{"name":"Mail to Sales button","text":"Ole yhteydessä","externalUrl":"mailto:sales@nitor.com"}}],"alignment":"left"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4esfj652XcF10OlqU6uT3t","type":"Entry","createdAt":"2020-12-17T10:19:05.174Z","updatedAt":"2020-12-17T10:19:52.466Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"Finnair related articles","title":"Lisää yhteistyöstämme Finnairin kanssa","articles":[{"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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"iY71G8CapJD5T1JhAK1hR","type":"Entry","createdAt":"2020-06-29T11:43:59.640Z","updatedAt":"2020-06-29T11:43:59.640Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Liiketoiminta","slug":"liiketoiminta"}}],"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":"7pww2aVvO7xBewmRVYziqm","type":"Entry","createdAt":"2020-12-12T13:57:15.918Z","updatedAt":"2020-12-17T14:02:17.427Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"successStory"}},"locale":"fi-FI"},"fields":{"lang":["fi","en"],"title":"Keskon päivittäis­­­tavara­­kaupan asiakas­­palautteet ovat nyt yhtä Hymyä","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6Cq4k8zAPC1lDZokR6fXTM","type":"Asset","createdAt":"2020-08-12T08:31:15.931Z","updatedAt":"2020-09-30T10:27:46.870Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"locale":"fi-FI"},"fields":{"title":"Kesko-Hymy","description":"Person using Kesko Hymy app on mobile","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6Cq4k8zAPC1lDZokR6fXTM/b6bb56a8536c4fc1b44155389cdcc74a/hero.png","details":{"size":1258710,"image":{"width":1422,"height":664}},"fileName":"hero.png","contentType":"image/png"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Keskolta puuttui nopea ja helppo työkalu asiakaspalautteiden keräämistä ja käsittelyä varten. Toiveina oli, että se vapauttaisi käyttäjänsä myös usean eri kanavan ikeestä ja helpottaisi viestintää erilaisten sidosryhmien välillä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Strateginen työkalu","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Asiakkaiden kuunteleminen on osa Keskon strategiaa, ja palautteet ovat keskeisessä roolissa asiakaskokemuksen kehittämisessä. Hymy on Keskon sisäinen järjestelmä, joka kokoaa päivittäis­tavara­kaupan asiakkaiden sanalliset palautteet ja toiveet yhteen eri kanavista ja tekee niiden käsittelystä nopeaa ja helppoa – viestit ohjautuvat oikeaan paikkaan ja oikealle palautteen käsittelijälle reaaliajassa. Näin K-ruokakauppiaat voivat räätälöidä kauppansa asiakkaidensa näköiseksi ja palvella asiakkaitaan yhä paremmin.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sujuvaa vuoropuhelua","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vuoropuhelu on sujuvaa ja kaikki hyötyvät: Hymy mahdollistaa Keskon päivittäis­tavara­kaupan väelle ja kauppiaille nopean reagoinnin palautteisiin, asiakkaiden kanssa käytävän aktiivisen dialogin sekä eri kanavista saatujen tietojen hyödyntämisen toiminnan systemaattisessa kehittämisessä. Kaupan henkilökunnan näkökulmasta Hymyssä parasta on mahdollisuus vastata palautteeseen helposti, missä ja milloin tahansa, ja luoda kaupasta yhä enemmän asiakkaita puhuttelevan. Kauppojen asiakkaille Hymy tuo nopeampia vastauksia sekä enemmän toteutettuja toiveita, eli syitä hymyillä!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hymy numeroina","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"K-ruokakauppojen asiakkailta digitaalisesti kerätyn palautteen määrä on 50-kertaistunut viimeisen kahden vuoden aikana. Hymy-asiakas­palaute­järjestelmää käytetään laajasti Keskon päivittäis­tavara­kaupassa ja lähes 1400 K-ruokakaupassa, joissa käy päivittäin noin 1,2 miljoonaa asiakasta. Hymyn myötä palautteen vastausajat ovat lyhentyneet puoleen samaan aikaan, kun sanallinen palaute on kasvanut 20%.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Miten Hymy toimii","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hymy-järjestelmän avulla asiakkaan viesti sujahtaa sekunneissa vastaanottajalleen, vaikkapa sinne Taka-Töölöläiseen K-Markettiin. Sinä aikana mahdolliset kuvatiedostot tallentuvat Amazonin pilveen ja viesti käy vielä tekstianalyysin kautta ennen Hymyyn ilmestymistään. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kauppias vastaanottaa palautteen välittömästi. Mikäli hän tarvitsee avukseen tavarantoimittajan tai keittiön asiantuntemusta, on kommenttipyyntö helppo jättää oikeaan osoitteeseen niin ikään Hymyn kautta ennen asiakkaalle palaamista. Jos ennen keskusteluita käytiin useissa eri kanavissa, näkyvät ne kaikki nyt Hymyn käyttäjille suoraan samassa viestiketjussa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Hymy on maailmanluokan asiakaskuuntelujärjestelmä.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Johanna Kontio","nodeType":"text"},{"data":{},"marks":[],"value":", johtaja, Kesko","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"sidePanelTitle":"Kesko Hymy","sidePanelCustomer":"Kesko","sidePanelImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"JRtcn6IOZs8RRcUuvp4Zf","type":"Asset","createdAt":"2020-12-17T10:59:35.143Z","updatedAt":"2020-12-17T10:59:35.143Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Kesko-small","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/JRtcn6IOZs8RRcUuvp4Zf/d523b148a9c2ca754527c843e27d3627/Kesko-small.png","details":{"size":20840,"image":{"width":480,"height":480}},"fileName":"Kesko-small.png","contentType":"image/png"}}},"sidePanelText":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Haaste ","nodeType":"text"},{"data":{},"marks":[],"value":"Kesko kaipasi nopeaa ja helppoa tapaa sekä kerätä että käsitellä asiakkailta tulevia palautteita.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Tulokset ","nodeType":"text"},{"data":{},"marks":[],"value":"Hymy on 50-kertaistanut kerätyn asiakaspalautteen määrän viimeisen kahden vuoden aikana. 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Nitor on yhdessä CSC:n kanssa uudistamassa keskuksen REMS-järjestelmää, jota hyödyntävät esimerkiksi Findata sekä THL:n biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mikä on tutkijoiden käyttämä REMS-järjestelmä?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS eli Resource Entitlement Management System -järjestelmä on toteutettu osana kansainvälistä ","nodeType":"text"},{"data":{"uri":"http://www.elixir-finland.org/elixir/"},"content":[{"data":{},"marks":[],"value":"ELIXIR","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"-hanketta, joka kokoaa yhteen euroopanlaajuisesti bio- ja terveystieteiden aineistoja ja työkaluja. Hankkeen tavoitteena on luoda tutkimusinfrastruktuuri, jonka avulla tutkijat voivat helpommin löytää ja analysoida aineistoja sekä jakaa tietotaitoaan toteuttaen alan parhaita käytäntöjä. REMS mahdollistaa eri organisaatioiden tutkijoille pääsyn aineistoihin, ja hakuprosessi voidaan hoitaa kokonaan palvelun sisällä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Clojure-ohjelmointikielellä rakennettu ","nodeType":"text"},{"data":{"uri":"https://github.com/CSCfi/rems/"},"content":[{"data":{},"marks":[],"value":"REMS on avoimen lähdekoodin tuote","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa päätoteuttajina toimivat CSC ja Nitor. Nitorilta ovat alusta asti olleet mukana kokeneet ohjelmistoarkkitehtimme ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Markku Rontu","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Joel Kaasinen","nodeType":"text"},{"data":{},"marks":[],"value":", joille sekä Clojure että avoin lähdekoodi merkitsevät paljon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Julkisten järjestelmien on mielestäni tärkeää olla avointa lähdekoodia. On myös hienoa päästä näyttämään esimerkkiä laajasta Clojurella tehdystä järjestelmästä sekä auttaa muita kehittämällä avoimen lähdekoodin komponentteja. Monesta muusta modernista kielestä poiketen Clojure on rakennettu alunperin raskaaseen tuotantokäyttöön ja soveltuu tämän kaltaisen systeemin ohjelmointiin hyvin“, kertoo Markku.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS sisältää käyttöliittymän, jolla käyttölupahakemus kiertää hakijalta hyväksyttäväksi aineiston omistajalle tai hänen edustajalleen. Lisäksi se tarjoaa laajan rajapinnan, joka jakaa hakemusten ja myönnettyjen käyttöoikeuksien tiedot sekä toimii integraatiopisteenä muihin luvitus- tai käsittelyjärjestelmiin. REMS on joustavasti sovellettavissa vastaamaan sitä käyttävän organisaation tarpeisiin. Järjestelmää hyödyntää esimerkiksi tietolupaviranomainen Findata sekä Terveyden- ja hyvinvoinnin laitoksen (THL) biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ketterällä tiimillä toteutettu ratkaisu mukautuu eri käyttäjien tarpeisiin","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"CSC:n ja Nitorin intohimoisesti Clojureen suhtautuvat asiantuntijat rakensivat yhdessä järjestelmän, joka muokkautuu eri käyttäjäorganisaatioiden tarpeisiin. Uuden järjestelmän soveltuvuus validoitiin proof-of-concept -toteutuksella, jonka päälle on rakennettu pala kerrallaan uusia ominaisuuksia käyttäjäorganisaatioiden tarpeiden mukaan. Ensimmäisenä REMSin otti käyttöön ","nodeType":"text"},{"data":{"uri":"https://www.kielipankki.fi/"},"content":[{"data":{},"marks":[],"value":"Kielipankki","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa järjestelmä on ollut tuotannossa vuodesta 2018.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Uudet käyttäjäorganisaatiot tuovat aina uusia tarpeita järjestelmälle, mikä voi olla isokin haaste. Projektiimme onkin mahtunut muutama laaja uudelleenkirjoitus, kuten esimerkiksi käsittelymallin merkittävä yksinkertaistaminen. Puhdas funktionaalinen koodi, automaattisten testien hyvä kattavuus sekä Clojure-kielen ilmaisuvoima ovat kuitenkin pitäneet koodimassan kurissa”, Markku kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo vuodesta 2017 REMS-järjestelmän toimittajana ollut Nitor voitti kilpailutuksen järjestelmän jatkokehityksestä myös vuosille 2020 – 2022. Keväällä 2020 alkanut etätyösuositus ei hidastanut ketterin periaattein toimivaa tiimiä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Projektin onnistuminen on lähes aina toimivan tiimityön tulosta. Olemme esimerkiksi toimineet alusta lähtien etätiiminä CSC-kehittäjien kanssa. Se sopii hyvin avoimen lähdekoodin projektiin ja on tietenkin helpottanut yleistä siirtymistä etätyöhön. Lisäksi kokonaisuuden hallintaan ja uusien tarpeiden sovittamiseen tarvitaan hyvää tuoteohjausta, josta kuuluu iso kiitos CSC tuoteomistajille. Jatkuva oppiminenkin on olennaista – sattumoisin myös teknologiavalintamme tapahtui alunperin Joelin pitämän Clojure-ohjelmointikurssin käyneen tuoteomistajan innoittamana!","nodeType":"text"},{"data":{},"marks":[],"value":"“, Markku kertoo.\n","nodeType":"text"}],"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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"tieteen-tietotekniikan-keskuksen-ja-nitorin-kehittama-rems-jarjestelma-auttaa-tutkijoita-tyossaan","publishDate":"2020-08-20","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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"iY71G8CapJD5T1JhAK1hR","type":"Entry","createdAt":"2020-06-29T11:43:59.640Z","updatedAt":"2020-06-29T11:43:59.640Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Liiketoiminta","slug":"liiketoiminta"}}],"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":"AQGwiAE4IokbqbG6bzXjG","type":"Entry","createdAt":"2020-12-09T10:07:08.678Z","updatedAt":"2020-12-17T15:48:26.319Z","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":"Nitor kehittää opintojen ydinjärjestelmää Sisua","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"HpC6xwP5n3wleW5QrSqtP1","type":"Asset","createdAt":"2020-11-27T17:03:45.722Z","updatedAt":"2020-12-09T10:04:34.291Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"A picture of a brick wall","description":"Sisu","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/HpC6xwP5n3wleW5QrSqtP1/7dc2a6a8afde3f7daa30b3fef2a811d6/jaakko-kemppainen-EPG6z0iNG5M-unsplash.jpg","details":{"size":503341,"image":{"width":2000,"height":1125}},"fileName":"jaakko-kemppainen-EPG6z0iNG5M-unsplash.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor kehittää opintohallinnon Sisu-tietojärjestelmää yhdessä opiskelun ja opetuksen palveluita korkeakouluille tarjoavan Funidatan kanssa. Usean eri yliopiston tietoa hyödyntävän Sisu-palvelun kehityksessä kiinnitetään nyt erityisesti huomiota sen käytettävyyteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"“Yhteistyömme Nitorin kanssa on kehittynyt ja syventynyt vuosien aikana. Nyt solmittu ylläpitosopimus on luontainen jatko hyvälle yhdessä tekemiselle,” Funidatan asiakkuuspäällikkö ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Pekka Äikäs","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor on työskennellyt tiiviissä yhteistyössä ","nodeType":"text"},{"data":{"uri":"https://funidata.fi/"},"content":[{"data":{},"marks":[],"value":"Funidatan","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" kanssa jo viisi vuotta suunnittelun, ohjelmistokehityksen ja testauksen muodossa. Työn alla on pitkälti ollut opintohallinnon tietojärjestelmä Sisu. Nitor jatkaa Funidatan kumppanina palvelun ylläpidossa ja jatkokehityksessä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"”Sisu on opetuksen ja opiskelun ydinjärjestelmä, jota käyttävät jo useamman yliopiston henkilökunta ja opiskelijat. Myös Nitorilla on asiantuntijoita, joille Sisu on tullut tutuksi opintojen aikana. On innostavaa olla mukana kehittämässä tuhansille ihmisille jokapäiväisessä käytössä olevaa järjestelmää”, Nitorin ohjelmistoarkkitehti ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Erkki Pulliainen","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Elinkaariajattelu on Sisun kehitysperiaatteiden kulmakivi ja sen hallinta perustuu moderniin DevOps-malliin. Jatkuvaan integraatioon sekä jatkuvan toimituksen infrastruktuuriin ja monitorointiin on keskitytty kehityksen alusta lähtien. SaaS-palveluna tarjottavaan Sisuun on toteutettu laajat integraatiorajapinnat mm. tietojen massasiirtoihin sekä reaaliaikaiseen tiedon hyödyntämistä varten. Viime vuosina Nitor on myös auttanut Funidataa ja tämän asiakasyliopistoja hyödyntämään entistä käyttäjälähtöisempää suunnittelua ja parantamaan Sisun käytettävyyttä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Käytettävyystestauksen, iteratiivisen suunnittelun sekä yhteiskehitysmenetelmien ansiosta sekä asiakas että kehitystiimi ovat paremmin oivaltaneet, miten Sisusta tehdään paras mahdollinen palvelu. 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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. Koko organisaatiota palveleva  prosessi on helppoa suunnitella, kun kaikki ymmärtävät saavutettavat hyödyt.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. 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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. 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Jos haluat osallistua Hövding Airbag 3.0. -ilmatyynykypärän arvontaan, jätäthän myös yhteystietosi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://elomake.helsinki.fi/lomakkeet/105617/lomake.html?rinnakkaislomake=suomi"},"content":[{"data":{},"marks":[],"value":"Vastaa kyselyyn","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kiitos ajastasi jo etukäteen!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Petri Kettunen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tommi Mikkonen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomi Männistö","nodeType":"text"},{"data":{},"marks":[],"value":" (Helsingin yliopisto, Tietojenkäsittelytieteen osasto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomas Gustavsson","nodeType":"text"},{"data":{},"marks":[],"value":" (Karlstadin yliopisto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Maarit Laanti","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Andreas Tjernsten","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Erik Fallenius","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Mari Asunmaa","nodeType":"text"},{"data":{},"marks":[],"value":" (Nitor)","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Kuva: Tuomas Uusheimo","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"ketteryys-kykya-reagoida-muuttuviin-faktoihin-osallistu-pohjoismaiseen-agile-selvitykseen","publishDate":"2020-10-12","showRelatedArticles":true}}]}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7McAxm5d8ekOvzLvyyh6YG","type":"Entry","createdAt":"2020-09-30T15:23:26.539Z","updatedAt":"2020-12-17T16:36:09.480Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"insight","title":"Analytiikka","slug":"analytiikka","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1f5YdRIbHgKa7frSkw6s6q","type":"Entry","createdAt":"2020-09-30T11:42:17.365Z","updatedAt":"2020-12-15T19:30:58.110Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"hero"}},"locale":"fi-FI"},"fields":{"name":"Analytics Hero","title":"Hyödynnä dataa liiketoimintalähtöisesti","additionalTitle":"Analytiikka","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Valjasta datalähtöinen päätöksenteko osaksi liiketoimintasi arkea. 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. Koko organisaatiota palveleva  prosessi on helppoa suunnitella, kun kaikki ymmärtävät saavutettavat hyödyt.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. 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Jos haluat osallistua Hövding Airbag 3.0. -ilmatyynykypärän arvontaan, jätäthän myös yhteystietosi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://elomake.helsinki.fi/lomakkeet/105617/lomake.html?rinnakkaislomake=suomi"},"content":[{"data":{},"marks":[],"value":"Vastaa kyselyyn","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kiitos ajastasi jo etukäteen!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Petri Kettunen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tommi Mikkonen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomi Männistö","nodeType":"text"},{"data":{},"marks":[],"value":" (Helsingin yliopisto, Tietojenkäsittelytieteen osasto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomas Gustavsson","nodeType":"text"},{"data":{},"marks":[],"value":" (Karlstadin yliopisto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Maarit Laanti","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Andreas Tjernsten","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Erik Fallenius","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Mari Asunmaa","nodeType":"text"},{"data":{},"marks":[],"value":" (Nitor)","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Kuva: Tuomas Uusheimo","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"ketteryys-kykya-reagoida-muuttuviin-faktoihin-osallistu-pohjoismaiseen-agile-selvitykseen","publishDate":"2020-10-12","showRelatedArticles":true}}]}}]}}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"ubDNHfbvJmLruwDuixaaO","type":"Entry","createdAt":"2020-11-10T10:51:38.658Z","updatedAt":"2020-12-15T19:02:47.837Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"fi-FI"},"fields":{"name":"Näe tilaisuudet ja valjasta data tukemaan päätöksentekoa","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7McAxm5d8ekOvzLvyyh6YG","type":"Entry","createdAt":"2020-09-30T15:23:26.539Z","updatedAt":"2020-12-17T16:36:09.480Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"insight","title":"Analytiikka","slug":"analytiikka","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1f5YdRIbHgKa7frSkw6s6q","type":"Entry","createdAt":"2020-09-30T11:42:17.365Z","updatedAt":"2020-12-15T19:30:58.110Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"hero"}},"locale":"fi-FI"},"fields":{"name":"Analytics Hero","title":"Hyödynnä dataa liiketoimintalähtöisesti","additionalTitle":"Analytiikka","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Valjasta datalähtöinen päätöksenteko osaksi liiketoimintasi arkea. 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. Koko organisaatiota palveleva  prosessi on helppoa suunnitella, kun kaikki ymmärtävät saavutettavat hyödyt.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. 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Now, let’s look into the second major change, which also is closely related to the first – putting the Customer left, right, and center of everything an Organization does.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"SAFe defines the goal with Lean thinking in the ","marks":[],"data":{}},{"nodeType":"text","value":"SAFe House of Lean as follows","marks":[{"type":"italic"}],"data":{}},{"nodeType":"text","value":":","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The goal of Lean is to deliver the maximum customer value in the shortest sustainable lead-time while providing the highest possible quality to customers and society as a whole","marks":[{"type":"italic"}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to maximize something, you have to understand what it is. Understanding value has become paramount for organizations providing direct Value to consumers (Business to Consumer products & services). The phrase “customer is king” has never been more true digitalization has driven personalization, which makes it more important than ever to appeal to individual Customers of your business. 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Also, over the last ten years, there’s been a lot of development in the Design community when it comes to methods, tools & practices to better understand and empathize with the Customer. But how to apply those in a SAFe context?","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In the Big Picture, the Customer has moved from the Solution level into Essential to emphasize that the Customer isn’t optional. 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For those of you who are working as Designers; you will not be surprised by the tools and practices themselves. In fact, some might even feel a little outdated. Remember that nothing enters the framework without it being proven somewhere, so you won’t find very novel approaches in it if you work at the forefront of Design. 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It just hasn’t been clear to everyone since up until now it has only been implicit. The Customers decide what is valuable to them, so in order to be a successful Business, focus has to be on maximizing Value while minimizing the effort to provide it. Organizations also need to have the ability to reorganize around the changed value flow when customer or market conditions change. Continuously. Relentlessly.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In the third and final article, we highlight some of the more subtle but important changes to SAFe and make an overall conclusion about the upcoming release. 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Contribute to the study and make your voice heard!","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Our coaches often get questions about the use of agile methods in the countries where we are organizing training sessions or workshops.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"One of the most well-known recent studies about agile adoption and usage is the ","nodeType":"text"},{"data":{"uri":"https://www.stateofagile.com/"},"content":[{"data":{},"marks":[],"value":"State of Agile by VersionOne","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". The survey, however, doesn’t provide answers by country, which means that the question remains partly unanswered from a scientific point of view.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To get an answer to the questions for Finland, the University of Helsinki, together with Nitor surveyed agile methods last autumn. We learned, for example, that the most popular methods among the respondents in Finland were Scrum (88%), Kanban (81%), DevOps (62%), SAFe (61%) and Lean methods (52%). You can read more about the results of the Finnish survey ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"on our blog","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":". Additional survey results were presented by Maarit Laanti, founder of Nitor Delta, at the ","nodeType":"text"},{"data":{"uri":"https://www.researchgate.net/publication/333775064_SAFe_Adoptions_in_Finland_A_Survey_Research"},"content":[{"data":{},"marks":[],"value":"XP conference in Montreal","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" in May.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Now, the University of Helsinki, Nitor and Blekinge Institute of Technology are repeating the study in Sweden, where we also have our new office. We aim to collect research material that is comparable with the results from Finland and enable comparisons and analysis across the countries.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Cooperating with the University of Helsinki and Blekinge Institute of Technology guarantees a high quality of research. 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Haluamme, että voit mutkattomasti tutustua Nitoriin ja löydät itsellesi oikean paikan.","marks":[],"data":{}}],"data":{}}]},"image":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1WvfXwcqpRImAVXWlYhXYc","type":"Asset","createdAt":"2020-09-29T11:12:12.093Z","updatedAt":"2020-12-17T17:08:02.096Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"locale":"fi-FI"},"fields":{"title":"People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/1WvfXwcqpRImAVXWlYhXYc/833e656ade9a7a93ac57a6c74eb4b015/Janne-J__rvinen_1_1.png","details":{"size":1599643,"image":{"width":1725,"height":1725}},"fileName":"Janne-Järvinen 1_1.png","contentType":"image/png"}}},"actions":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7pR0BNgu3LRXCB3xd39fz4","type":"Entry","createdAt":"2020-12-12T14:57:10.681Z","updatedAt":"2020-12-12T14:57:10.681Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"button"}},"locale":"fi-FI"},"fields":{"name":"Mail to Jobs","text":"Ota meihin yhteyttä","externalUrl":"mailto:jobs@nitor.com"}}],"alignment":"right"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6J1PnLEWmD6Wl5seUtPeoc","type":"Entry","createdAt":"2020-08-18T13:21:47.463Z","updatedAt":"2020-12-17T20:51:06.031Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":15,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"People Blogs highlight","title":"Lisää ihmisistämme","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"wxppuvI1eHtlbDQggPmyc3","type":"Entry","createdAt":"2020-12-08T14:12:54.736Z","updatedAt":"2020-12-08T14:12:54.736Z","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":"Abban tahdissa Euroopan parhaiden työpaikkojen joukkoon","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"DbeIeIBYgKJ99pR8YHjFz6","type":"Asset","createdAt":"2020-11-27T17:00:55.024Z","updatedAt":"2020-11-27T17:00:55.024Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor-GPTW-2019-5.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/DbeIeIBYgKJ99pR8YHjFz6/5999b06b206d320efdb89a49f9c3636c/Nitor-GPTW-2019-5.jpg","details":{"size":199878,"image":{"width":1152,"height":648}},"fileName":"Nitor-GPTW-2019-5.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Digitaalinen insinööritoimisto Nitor on jälleen yksi Euroopan parhaista työpaikoista. Euroopan Great Place to Work -tutkimuksen tulokset julkistettiin Nobel-juhlistakin tunnetun Tukholman kaupungintalon salissa pidetyssä palkintogaalassa. Nitor sijoittui omassa sarjassaan kolmanneksi ollen siten parhaiten sijoittunut suomalaisyritys. Tänä vuonna mukana oli ennätysmäärä yrityksiä Suomesta.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor sai tunnustuksensa vauhdikkaassa palkintogaalassa, jossa oli euroviisumainen tunnelma aina räväkästä popbändistä eri maiden liehuviin lippuihin. Vuonna 2007 perustettu Digitaalinen insinööritoimisto osallistui Great Place to Work -organisaation järjestämään tutkimukseen viidettä kertaa. Nitor on valittu Suomen parhaaksi työpaikaksi nyt kaksi kertaa peräkkäin vuosina 2018–2019. Kestävän digitaalisen kehityksen asialla oleva ohjelmistoyritys on myös sijoittunut Euroopan parhaiden työpaikkojen joukkoon jokaisella kerralla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Jo yritystä perustettaessa päätimme pitää mahdollisimman hyvää huolta työntekijöistämme ja asiakkaistamme. Menestyksemme perustuu yksinkertaisuudessaan tämän periaatteen luomaan hyvän kehään: työntekijöillämme on puitteet kehittyä ja asiakkaamme saavat parasta mahdollista palvelua. Valinta yhdeksi Euroopan parhaista työpaikoista lämmittää erityisen paljon nyt, kun laajenemme kansainvälisesti”, toimitusjohtaja Matti Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6a9L62UehDS93CzbkuBgI7","type":"Asset","createdAt":"2020-11-27T16:57:16.671Z","updatedAt":"2020-11-27T16:57:16.671Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_2.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6a9L62UehDS93CzbkuBgI7/9ccdaf3417bf444b2ea16e1cd3a1a77d/Nitor_GPTW_2019_2.JPG","details":{"size":306953,"image":{"width":1600,"height":1200}},"fileName":"Nitor_GPTW_2019_2.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor toimii jo nyt useammassa maassa vieden esimerkiksi ketterien menetelmien koulutusta ja toimintakulttuuria suuryrityksiin ympäri Eurooppaa. Yritys avasi toimiston Tukholmaan puolitoista vuotta sitten ja kasvattaa uusien asiakkuuksien myötä jalansijaansa Ruotsissa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"”Palveluillemme on kysyntää lahden molemmin puolin, mutta haluamme kasvaa vain sitä tahtia, kun onnistumme löytämään parhaita mahdollisia työntekijöitä. Uskon, että Nitorin arvot – yhtenäisyys, ketteryys, tehokkuus, pragmaattisuus ja intohimo – resonoivat digitaalisten palveluiden parissa toimivien kesken kaikkialla. Digitaaliselle insinöörille ei ole yhdentekevää, millaisessa kulttuurissa ja seurassa työtään tekee,” Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"xs3gzeXdgyo6Ndcu2Av2z5","type":"Asset","createdAt":"2020-11-27T16:57:13.576Z","updatedAt":"2020-11-27T16:57:13.576Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_4.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/xs3gzeXdgyo6Ndcu2Av2z5/859814a0b488b61f98c99d26354dc69e/Nitor_GPTW_2019_4.JPG","details":{"size":239797,"image":{"width":1600,"height":1200}},"fileName":"Nitor_GPTW_2019_4.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hierarkian sijaan Nitor tähtää yrityskulttuurissaan avoimuuteen ja itseohjautuvuuteen. Ketterää henkilöstöjohtamista sekä toteutetaan että koulutetaan muille. Nitorin valmentajat auttavat yrityksiä ketterän toimintakulttuurin luomisessa järjestämällä esimerkiksi koulutuksia, joiden avulla organisaatiot voivat toimia tehokkaammin nopeissa muutostilanteissa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorissa ei ole perinteistä keskijohtoa, vaan jokaisella työntekijällä on tukenaan tasavertainen Kamu, oma valmentaja, jonka kanssa voi luottamuksellisesti keskustella henkilökohtaisista tavoitteistaan tai huolistaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"th31tW2Zhd6M03wCR1SlE3","type":"Asset","createdAt":"2020-11-27T16:56:56.881Z","updatedAt":"2020-11-27T16:56:56.881Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_3.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/th31tW2Zhd6M03wCR1SlE3/c99dba3df6334af5ae734e35dded3b53/Nitor_GPTW_2019_3.JPG","details":{"size":1480888,"image":{"width":3024,"height":4032}},"fileName":"Nitor_GPTW_2019_3.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vuonna 2018 Nitorin liikevaihto kasvoi edellisvuodesta 18,2 % yltäen 25 miljoonaan euroon. Kuluneen vuoden aikana Nitor on laajentanut palveluitaan esimerkiksi tekoälyn ja yritysarkkitehtuurin alueilla ostamalla ATK Helsinki -yrityksen ja käynnistämällä uuden Nitor Insight -liiketoiminnan. Myös kysyntä palvelumuotoilulle, käyttökokemuksen suunnittelulle ja mobiilipalveluiden kehittämiselle on jatkanut kasvuaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Me suhtaudumme intohimoisesti työhömme ja ammattitaitoomme, ja siksi haluamme myös tarjota parhaat mahdolliset puitteet ja tiimin työn tekemiseen”, Matti Vilmi summaa.","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"cuBmsmBPEr5omz6Y9f9PM2","type":"Asset","createdAt":"2020-11-27T16:55:26.441Z","updatedAt":"2020-11-27T16:55:26.441Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW.gif","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/cuBmsmBPEr5omz6Y9f9PM2/bc45a11a669392ecb37d85bd68e684b4/Nitor_GPTW.gif","details":{"size":1979152,"image":{"width":600,"height":600}},"fileName":"Nitor_GPTW.gif","contentType":"image/gif"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tietoa Great Place to Work 2019 -tutkimuksesta ","nodeType":"text"},{"data":{"uri":"https://www.greatplacetowork.fi/blogit/euroopan-parhaat-tyopaikat-2019"},"content":[{"data":{},"marks":[],"value":"https://www.greatplacetowork.fi/blogit/euroopan-parhaat-tyopaikat-2019","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"LISÄTIETOA","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Matti Vilmi, Nitor","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"},{"data":{},"marks":[],"value":"\nPuh: +358 45 120 4747","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"},{"data":{},"marks":[],"value":"\nE-mail: matti.vilmi@nitor.com","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"abban-tahdissa-euroopan-parhaiden-tyopaikkojen-joukkoon","publishDate":"2019-06-06"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"nx1LJyLjzIJjTzwLvURxM3","type":"Entry","createdAt":"2020-12-08T09:28:16.944Z","updatedAt":"2020-12-08T09:28:16.944Z","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":"Miten Great Place to Work -menestyjä Nitor kehittää kulttuuriaan jatkossa?","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"CSTfbkn2NdX8SFWy6T7P31","type":"Asset","createdAt":"2020-11-27T16:57:20.197Z","updatedAt":"2020-12-08T09:16:44.960Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"People on stage","description":"Nitor, people, GPTW","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/CSTfbkn2NdX8SFWy6T7P31/1d9b18e53e99aebe5273ab55c8b66edc/GPTW_130_1.jpg","details":{"size":734898,"image":{"width":4000,"height":2668}},"fileName":"GPTW_130_1.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Viisi kertaa Suomen ja Euroopan parhaimpiin työpaikkoihin valittu Nitor jää toistaiseksi pois Great Place to Work -organisaation tutkimuksesta, jossa mitataan maailman parhaita työpaikkoja. Nyt Digitaalinen insinööritoimisto keskittyy kehittämään kulttuuriaan vahvistamalla PeopleOps-toimintaansa sekä tuomalla lisää hyvinvoinnin ja osaamisen kehittämisen palveluita asiantuntijoilleen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.greatplacetowork.fi/"},"content":[{"data":{},"marks":[],"value":"Great Place to Work","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" -gaala on kuulunut digitaalisten insinöörien talveen nyt jo vuosien ajan. Tällä kertaa emme kuitenkaan ole mukana juhlistamassa Suomen parhaita työpaikkoja, vaikka odotammekin tuloksia innolla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Päätös pois jäämisestä ei ollut helppo, sillä Great Place to Work on kirittänyt Nitorin kulttuurin kehitystyötä merkittävällä tavalla ja jäsennellysti. Koimme kuitenkin, että nyt oli oikea aika hyödyntää ja viedä eteenpäin omaa osaamistamme Nitorin kehityksessä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Olemme jo pitkään edistäneet hyvinvoinnin ja osaamisen kehittämisen palveluitamme nitorilaisten kesken osallistavan ideoinnin avulla. Nitorin kasvaessa myös Agile HR -periaatteilla toimiva PeopleOps-tiimimme on vahvistunut. Tiimi kehittää jatkuvasti matalahierarkiselle organisaatiolle tarpeellisia tukipalveluita ja tekee yhteistyötä esimerkiksi työterveyden kanssa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvinvointipalveluita matalalla kynnyksellä\n","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Olemme ottaneet viimeisen vuoden aikana kehittämisen teemaksi proaktiivisen haasteiden ja huolien kuuntelun: uudella Perjantaipysäkillä nitorilainen voi käydä helposti ja ilman varauksia juttelemassa PeopleOps-ammattilaiselle. Mittaamme henkilöstön hyvinvointia myös kuukausittaisella kyselyllä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Edellämainitut ovat esimerkkejä matalan kynnyksen hyvinvointiavusta. Kuitenkin työn haasteiden alla myös syvempi apu voi tulla tarpeeseen. Olemme esimerkiksi lisänneet mielen hyvinvoinnin palveluita: työpsykologin ja chat-palveluiden lisäksi otimme lyhytpsykoterapian osaksi palveluitamme.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vertaistukea ja verkostoja","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Usein vertaistuki on asiantuntijalle eniten hyödyksi ongelmatilanteissa: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kamu-Kaveri-toiminta","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" onkin Nitorin kulttuurin peruskiviä. Kamun tavoitteena on säännöllinen ja tavoitteellinen työtoverin tukeminen. Hänen tehtäviinsä saattaa kuulua esimerkiksi perehdyttämistä, kuuntelemista, tukemista, eri elämänalueiden tasapainottamista ja pitkäjänteistä ammatillista sparrausta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitämme myös yhteistyötämme uusien toimijoiden kanssa olemalla aktiivisesti mukana työelämän kehittämisen verkostoissa. Kerromme lisää tulevista, työnhyvinvointiin ja osaamisen kehittämiseen liittyvistä hankkeista kuluvan vuoden aikana.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Haluamme kiittää Great Place to Work -organisaatiosta pitkästä yhteistyöstä. Suomen paras paikka olla töissä on lupaus, jonka haluamme lunastaa joka päivä. Hyödynnämme yhä Great Place to Workilta saatuja työkaluja ja syvennämme niiden avulla löydettyjä näkökulmia. Me jatkamme Nitorin kulttuurin kehittämistä eteenpäin, ja uskon, että näillä eväillä Digitaalinen insinööritoimistomme voi hyvin”, toimitusjohtajamme Matti Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso tästä GPtW:n ja Duunitorin kanssa tehty video, jossa Teija ja Marko kertovat siitä, mikä Nitorilla työskentelyssä on parasta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"\nEtsimme myös uusia työkavereita, joten ","nodeType":"text"},{"data":{"uri":"https://www.nitor.com/fi/tyopaikat"},"content":[{"data":{},"marks":[],"value":"katso avoimet työpaikat","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" ja laita hakemus tulemaan.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}}],"slug":"miten-great-place-work-menestyja-nitor-kehittaa-kulttuuriaan-jatkossa","publishDate":"2020-03-12","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3tN4whJIAPMr4md0DC6ZrQ","type":"Entry","createdAt":"2020-12-03T11:28:13.901Z","updatedAt":"2020-12-08T12:30:38.801Z","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":"Joulupukin pikku digi-insinööriapulaiset","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2TfQIVSjXe6qSAg3cZ2asv","type":"Asset","createdAt":"2020-12-03T11:19:19.499Z","updatedAt":"2020-12-08T12:28:48.539Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Hand on keyboard with Jouluntekijä bracelet","description":"Posti, jouluntekijä","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2TfQIVSjXe6qSAg3cZ2asv/f8443dd47ddcbea53537c855de1bb29e/Arton_blogi_joulupukin_pikkuapulaiset.jpg","details":{"size":47176,"image":{"width":1140,"height":641}},"fileName":"Arton_blogi_joulupukin_pikkuapulaiset.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Posti on yksi Nitorin tärkeimmistä asiakkaista. Nitor on palvellut Postia perustamisestaan eli vuodesta 2007 lähtien. Postilla voikin tavata varsin monta digitaalista insinööriä varmistamassa, että joulutervehdykset ja paketit (myös ne pehmeät!) löytävät ajoissa vastaanottajille tänäkin jouluna.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Verkkokauppojen joulusesonki käynnistyi jälleen marraskuun lopun Black Friday -tarjouksista. Joulukauden aikana Postin lajittelukeskusten kautta kulkee yli miljoona pakettia viikossa. Verkko-ostosten suosio on kasvanut vuosi vuodelta ja koronaepidemia on entisestään lisännyt etäostosten tekoa. Pakettien lisäksi Posti toimittaa tänäkin jouluna lähes 30 miljoonaa joulukorttia.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Joulusesonki tuo työtä Postin työntekijöiden lisäksi myös tietojärjestelmille, sillä asiakkaat seuraavat ahkerasti pakettien kulkua Postin sähköisten palvelukanavien kautta. Postin sisäisetkin palvelut käyvät täydellä teholla lukiessaan automaattisesti joulukorttien osoitetietoja ja ohjatessaan lähetyksiä niiden vastaanottajille.\n \nPosti varautuu joulusesonkiin ja sen aiheuttamaan kuormaan hyvissä ajoin pitkin vuotta ja Postin IT-osastolla ensimmäiset piparit ilmestyvätkin tarjolle jo pian kesälomien loputtua. Järjestelmien ruuhkahuippuja hallitaan muun muassa käyttämällä moderneja pilvipalveluja ja monet Postin sähköisistä palveluista tuotetaankin Microsoft Azure tai Amazon Web Services -ympäristöissä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pilvipalveluiden avulla järjestelmien kapasiteettia saadaan helposti kasvatettua silloin kun sitä tarvitaan. Palvelinkapasiteettia ei enää tarvitse mitoittaa joulun huippusesonkia varten, vaan se kasvaa ja laskee automaattisesti tarpeen mukaan. Vaikka osa Postin palveluista tuotetaan edelleen perinteisistä konesaleista käsin, suunnitellaan lähes kaikki uudet palvelut alusta lähtien pilviympäristöön sopivaksi.\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2qnErFvNA8Vn2j5EnfSK1p","type":"Asset","createdAt":"2020-12-07T13:42:55.415Z","updatedAt":"2020-12-07T13:42:55.415Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"An illustration of a whale carrying packages on its back","description":"Articles, illustration","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2qnErFvNA8Vn2j5EnfSK1p/047e60f87f8a2bc57016881fa30e81d1/pasted_image_0.png","details":{"size":24317,"image":{"width":407,"height":243}},"fileName":"pasted image 0.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"\nKeskeinen osa Postin pilviarkkitehtuuria on Docker-konttien käyttö. 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Mikäli uusi versio ei toimi odotetusti tai siihen on lipsahtanut mukaan virhe, on edellinen versio helppo palauttaa takaisin käyttöön.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Joulusesongin kannalta konttien hyvä ominaisuus on se, että niitä on myös helppoa monistaa. Pilvipalvelu valvoo jatkuvasti kontteihin kohdistuvaa kuormaa. Jos käyttäjämäärät kasvavat, uusia kontteja käynnistetään automaattisesti jakamaan kasvanutta tarvetta. Kuormahuipun laskiessa ylimääräiset kontit poistetaan käytöstä. Joustavuus tuo konkreettista hyötyä, sillä joulunajan kasvaneet kävijämäärät jakautuvat hyvin epätasaisesti eri vuorokauden aikoihin. Yksittäisiä ruuhkahuippuja esiintyy esimerkiksi sekä ennen ja jälkeen työpäivien alkua.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka pilvipalvelut voivatkin skaalautua käytännössä rajattomasti, saattavat fyysisen maailman rajoitukset tulla vastaan. Pakettiautomaatteihin mahtuu kerrallaan vain rajattu määrä paketteja, joten noudathan tilaamasi lähetyksen mahdollisimman nopeasti. Näin myös naapurisi saa pakettinsa mahdollisimman lähelle kotiaan. Digitaaliset insinöörit toivottavat kaikille oikein hyvää ja pakettirikasta joulua!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tiesitkö muuten, että joulupukin virallinen osoite on ”Tähtikuja 1, 96930 NAPAPIIRI” ja että Postin lajittelukoneilta löytyy Joulupukkia varten oma erityinen näppäimensä?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7pSbGuXmFo1pq1zZFkCWPz","type":"Asset","createdAt":"2020-12-07T13:40:43.291Z","updatedAt":"2020-12-07T13:40:43.291Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Posti's sorting machine with a special button for Santa's mail on it","description":"Posti, Articles","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/7pSbGuXmFo1pq1zZFkCWPz/986aa62d2fe5de1e712ecc07e1d4eaa2/pasted_image_0__1_.png","details":{"size":208337,"image":{"width":643,"height":297}},"fileName":"pasted image 0 (1).png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"iY71G8CapJD5T1JhAK1hR","type":"Entry","createdAt":"2020-06-29T11:43:59.640Z","updatedAt":"2020-06-29T11:43:59.640Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Liiketoiminta","slug":"liiketoiminta"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}}],"slug":"joulupukin-pikku-digi-insinooriapulaiset","showRelatedArticles":true}}]}}],"metaDescription":"Pian kutsumme sinuakin digitaaliseksi insinööriksi.\nOlemme monitaitoisia tulevaisuuden liiketoiminnan rakentajia: digitaalisia insinöörejä. 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Tule mukaan luomaan kestävää digitaalista kehitystä.","metaImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"334UHUWq7GgES9xxitGR7f","type":"Asset","createdAt":"2020-12-03T11:34:17.279Z","updatedAt":"2020-12-03T11:34:17.279Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"People learning with LEGOs","description":"LEGO Serious play, workshop, training","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/334UHUWq7GgES9xxitGR7f/c4515754b0943930d3a02221fede5941/lego-serious-play-001.jpg","details":{"size":546749,"image":{"width":3117,"height":1753}},"fileName":"lego-serious-play-001.jpg","contentType":"image/jpeg"}}}}}}},"alignment":"right"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6B5HhAzLW2qAyv2dVZY8xz","type":"Entry","createdAt":"2020-09-29T11:23:51.351Z","updatedAt":"2020-12-17T21:02:57.665Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":16,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"fi-FI"},"fields":{"name":"Frontpage Latest news","title":"Uutiset","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"aYkx2VU0d89tOYGYTrnsw5","type":"Entry","createdAt":"2020-12-08T08:28:19.811Z","updatedAt":"2020-12-17T15:47:55.405Z","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":"Tieteen tietotekniikan keskuksen ja Nitorin kehittämä REMS-järjestelmä auttaa tutkijoita työssään","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"EIZBxCKwggbw7L4guOPQ36","type":"Asset","createdAt":"2020-11-27T16:54:46.481Z","updatedAt":"2020-11-27T16:54:46.481Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"CSC-main.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/EIZBxCKwggbw7L4guOPQ36/57ef532d146c9d287e4b011e3f2ba729/CSC-main.jpg","details":{"size":380703,"image":{"width":2304,"height":1296}},"fileName":"CSC-main.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor kehittää yhdessä Tieteen tietotekniikan keskuksen (CSC) kanssa tieteellisten aineistojen hallintaan tarkoitettua REMS-järjestelmää. Järjestelmän avulla erilaisiin aineistoihin voidaan hakea ja jakaa käyttövaltuuksia eri organisaatioissa toimiville tutkijoille. Ratkaisu on toteutettu ketterästi Clojure-kielellä ja julkaistu avoimena lähdekoodina. Jo vuodesta 2017 CSC:n puitesopimustoimittajana ollut Nitor voitti kilpailutuksen REMS-järjestelmän jatkokehityksestä myös vuosille 2020 – 2022.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tieteen tietotekniikan keskus eli CSC on suomalainen valtion ja korkeakoulujen omistama tietotekniikan osaamiskeskus. CSC tuottaa kansainvälisesti korkeatasoisia ICT-asiantuntijapalveluita ja on tunnettu esimerkiksi laskentapalveluistaan ja ","nodeType":"text"},{"data":{"uri":"https://yle.fi/uutiset/3-10818421"},"content":[{"data":{},"marks":[],"value":"supertietokoneistaan","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". Nitor on yhdessä CSC:n kanssa uudistamassa keskuksen REMS-järjestelmää, jota hyödyntävät esimerkiksi Findata sekä THL:n biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mikä on tutkijoiden käyttämä REMS-järjestelmä?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS eli Resource Entitlement Management System -järjestelmä on toteutettu osana kansainvälistä ","nodeType":"text"},{"data":{"uri":"http://www.elixir-finland.org/elixir/"},"content":[{"data":{},"marks":[],"value":"ELIXIR","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"-hanketta, joka kokoaa yhteen euroopanlaajuisesti bio- ja terveystieteiden aineistoja ja työkaluja. Hankkeen tavoitteena on luoda tutkimusinfrastruktuuri, jonka avulla tutkijat voivat helpommin löytää ja analysoida aineistoja sekä jakaa tietotaitoaan toteuttaen alan parhaita käytäntöjä. REMS mahdollistaa eri organisaatioiden tutkijoille pääsyn aineistoihin, ja hakuprosessi voidaan hoitaa kokonaan palvelun sisällä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Clojure-ohjelmointikielellä rakennettu ","nodeType":"text"},{"data":{"uri":"https://github.com/CSCfi/rems/"},"content":[{"data":{},"marks":[],"value":"REMS on avoimen lähdekoodin tuote","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa päätoteuttajina toimivat CSC ja Nitor. Nitorilta ovat alusta asti olleet mukana kokeneet ohjelmistoarkkitehtimme ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Markku Rontu","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Joel Kaasinen","nodeType":"text"},{"data":{},"marks":[],"value":", joille sekä Clojure että avoin lähdekoodi merkitsevät paljon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Julkisten järjestelmien on mielestäni tärkeää olla avointa lähdekoodia. On myös hienoa päästä näyttämään esimerkkiä laajasta Clojurella tehdystä järjestelmästä sekä auttaa muita kehittämällä avoimen lähdekoodin komponentteja. Monesta muusta modernista kielestä poiketen Clojure on rakennettu alunperin raskaaseen tuotantokäyttöön ja soveltuu tämän kaltaisen systeemin ohjelmointiin hyvin“, kertoo Markku.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS sisältää käyttöliittymän, jolla käyttölupahakemus kiertää hakijalta hyväksyttäväksi aineiston omistajalle tai hänen edustajalleen. Lisäksi se tarjoaa laajan rajapinnan, joka jakaa hakemusten ja myönnettyjen käyttöoikeuksien tiedot sekä toimii integraatiopisteenä muihin luvitus- tai käsittelyjärjestelmiin. REMS on joustavasti sovellettavissa vastaamaan sitä käyttävän organisaation tarpeisiin. Järjestelmää hyödyntää esimerkiksi tietolupaviranomainen Findata sekä Terveyden- ja hyvinvoinnin laitoksen (THL) biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ketterällä tiimillä toteutettu ratkaisu mukautuu eri käyttäjien tarpeisiin","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"CSC:n ja Nitorin intohimoisesti Clojureen suhtautuvat asiantuntijat rakensivat yhdessä järjestelmän, joka muokkautuu eri käyttäjäorganisaatioiden tarpeisiin. Uuden järjestelmän soveltuvuus validoitiin proof-of-concept -toteutuksella, jonka päälle on rakennettu pala kerrallaan uusia ominaisuuksia käyttäjäorganisaatioiden tarpeiden mukaan. Ensimmäisenä REMSin otti käyttöön ","nodeType":"text"},{"data":{"uri":"https://www.kielipankki.fi/"},"content":[{"data":{},"marks":[],"value":"Kielipankki","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa järjestelmä on ollut tuotannossa vuodesta 2018.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Uudet käyttäjäorganisaatiot tuovat aina uusia tarpeita järjestelmälle, mikä voi olla isokin haaste. Projektiimme onkin mahtunut muutama laaja uudelleenkirjoitus, kuten esimerkiksi käsittelymallin merkittävä yksinkertaistaminen. Puhdas funktionaalinen koodi, automaattisten testien hyvä kattavuus sekä Clojure-kielen ilmaisuvoima ovat kuitenkin pitäneet koodimassan kurissa”, Markku kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo vuodesta 2017 REMS-järjestelmän toimittajana ollut Nitor voitti kilpailutuksen järjestelmän jatkokehityksestä myös vuosille 2020 – 2022. Keväällä 2020 alkanut etätyösuositus ei hidastanut ketterin periaattein toimivaa tiimiä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Projektin onnistuminen on lähes aina toimivan tiimityön tulosta. Olemme esimerkiksi toimineet alusta lähtien etätiiminä CSC-kehittäjien kanssa. Se sopii hyvin avoimen lähdekoodin projektiin ja on tietenkin helpottanut yleistä siirtymistä etätyöhön. Lisäksi kokonaisuuden hallintaan ja uusien tarpeiden sovittamiseen tarvitaan hyvää tuoteohjausta, josta kuuluu iso kiitos CSC tuoteomistajille. 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Järjestelmän avulla erilaisiin aineistoihin voidaan hakea ja jakaa käyttövaltuuksia eri organisaatioissa toimiville tutkijoille. Ratkaisu on toteutettu ketterästi Clojure-kielellä ja julkaistu avoimena lähdekoodina. Jo vuodesta 2017 CSC:n puitesopimustoimittajana ollut Nitor voitti kilpailutuksen REMS-järjestelmän jatkokehityksestä myös vuosille 2020 – 2022.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tieteen tietotekniikan keskus eli CSC on suomalainen valtion ja korkeakoulujen omistama tietotekniikan osaamiskeskus. CSC tuottaa kansainvälisesti korkeatasoisia ICT-asiantuntijapalveluita ja on tunnettu esimerkiksi laskentapalveluistaan ja ","nodeType":"text"},{"data":{"uri":"https://yle.fi/uutiset/3-10818421"},"content":[{"data":{},"marks":[],"value":"supertietokoneistaan","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". Nitor on yhdessä CSC:n kanssa uudistamassa keskuksen REMS-järjestelmää, jota hyödyntävät esimerkiksi Findata sekä THL:n biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mikä on tutkijoiden käyttämä REMS-järjestelmä?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS eli Resource Entitlement Management System -järjestelmä on toteutettu osana kansainvälistä ","nodeType":"text"},{"data":{"uri":"http://www.elixir-finland.org/elixir/"},"content":[{"data":{},"marks":[],"value":"ELIXIR","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"-hanketta, joka kokoaa yhteen euroopanlaajuisesti bio- ja terveystieteiden aineistoja ja työkaluja. Hankkeen tavoitteena on luoda tutkimusinfrastruktuuri, jonka avulla tutkijat voivat helpommin löytää ja analysoida aineistoja sekä jakaa tietotaitoaan toteuttaen alan parhaita käytäntöjä. REMS mahdollistaa eri organisaatioiden tutkijoille pääsyn aineistoihin, ja hakuprosessi voidaan hoitaa kokonaan palvelun sisällä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Clojure-ohjelmointikielellä rakennettu ","nodeType":"text"},{"data":{"uri":"https://github.com/CSCfi/rems/"},"content":[{"data":{},"marks":[],"value":"REMS on avoimen lähdekoodin tuote","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa päätoteuttajina toimivat CSC ja Nitor. Nitorilta ovat alusta asti olleet mukana kokeneet ohjelmistoarkkitehtimme ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Markku Rontu","nodeType":"text"},{"data":{},"marks":[],"value":" ja ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Joel Kaasinen","nodeType":"text"},{"data":{},"marks":[],"value":", joille sekä Clojure että avoin lähdekoodi merkitsevät paljon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Julkisten järjestelmien on mielestäni tärkeää olla avointa lähdekoodia. On myös hienoa päästä näyttämään esimerkkiä laajasta Clojurella tehdystä järjestelmästä sekä auttaa muita kehittämällä avoimen lähdekoodin komponentteja. Monesta muusta modernista kielestä poiketen Clojure on rakennettu alunperin raskaaseen tuotantokäyttöön ja soveltuu tämän kaltaisen systeemin ohjelmointiin hyvin“, kertoo Markku.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"REMS sisältää käyttöliittymän, jolla käyttölupahakemus kiertää hakijalta hyväksyttäväksi aineiston omistajalle tai hänen edustajalleen. Lisäksi se tarjoaa laajan rajapinnan, joka jakaa hakemusten ja myönnettyjen käyttöoikeuksien tiedot sekä toimii integraatiopisteenä muihin luvitus- tai käsittelyjärjestelmiin. REMS on joustavasti sovellettavissa vastaamaan sitä käyttävän organisaation tarpeisiin. Järjestelmää hyödyntää esimerkiksi tietolupaviranomainen Findata sekä Terveyden- ja hyvinvoinnin laitoksen (THL) biopankki.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Ketterällä tiimillä toteutettu ratkaisu mukautuu eri käyttäjien tarpeisiin","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"CSC:n ja Nitorin intohimoisesti Clojureen suhtautuvat asiantuntijat rakensivat yhdessä järjestelmän, joka muokkautuu eri käyttäjäorganisaatioiden tarpeisiin. Uuden järjestelmän soveltuvuus validoitiin proof-of-concept -toteutuksella, jonka päälle on rakennettu pala kerrallaan uusia ominaisuuksia käyttäjäorganisaatioiden tarpeiden mukaan. Ensimmäisenä REMSin otti käyttöön ","nodeType":"text"},{"data":{"uri":"https://www.kielipankki.fi/"},"content":[{"data":{},"marks":[],"value":"Kielipankki","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", jossa järjestelmä on ollut tuotannossa vuodesta 2018.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Uudet käyttäjäorganisaatiot tuovat aina uusia tarpeita järjestelmälle, mikä voi olla isokin haaste. Projektiimme onkin mahtunut muutama laaja uudelleenkirjoitus, kuten esimerkiksi käsittelymallin merkittävä yksinkertaistaminen. Puhdas funktionaalinen koodi, automaattisten testien hyvä kattavuus sekä Clojure-kielen ilmaisuvoima ovat kuitenkin pitäneet koodimassan kurissa”, Markku kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Jo vuodesta 2017 REMS-järjestelmän toimittajana ollut Nitor voitti kilpailutuksen järjestelmän jatkokehityksestä myös vuosille 2020 – 2022. Keväällä 2020 alkanut etätyösuositus ei hidastanut ketterin periaattein toimivaa tiimiä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"“Projektin onnistuminen on lähes aina toimivan tiimityön tulosta. Olemme esimerkiksi toimineet alusta lähtien etätiiminä CSC-kehittäjien kanssa. Se sopii hyvin avoimen lähdekoodin projektiin ja on tietenkin helpottanut yleistä siirtymistä etätyöhön. Lisäksi kokonaisuuden hallintaan ja uusien tarpeiden sovittamiseen tarvitaan hyvää tuoteohjausta, josta kuuluu iso kiitos CSC tuoteomistajille. Jatkuva oppiminenkin on olennaista – sattumoisin myös teknologiavalintamme tapahtui alunperin Joelin pitämän Clojure-ohjelmointikurssin käyneen tuoteomistajan innoittamana!","nodeType":"text"},{"data":{},"marks":[],"value":"“, Markku kertoo.\n","nodeType":"text"}],"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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"tieteen-tietotekniikan-keskuksen-ja-nitorin-kehittama-rems-jarjestelma-auttaa-tutkijoita-tyossaan","publishDate":"2020-08-20","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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"iY71G8CapJD5T1JhAK1hR","type":"Entry","createdAt":"2020-06-29T11:43:59.640Z","updatedAt":"2020-06-29T11:43:59.640Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Liiketoiminta","slug":"liiketoiminta"}}],"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":"AQGwiAE4IokbqbG6bzXjG","type":"Entry","createdAt":"2020-12-09T10:07:08.678Z","updatedAt":"2020-12-17T15:48:26.319Z","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":"Nitor kehittää opintojen ydinjärjestelmää Sisua","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"HpC6xwP5n3wleW5QrSqtP1","type":"Asset","createdAt":"2020-11-27T17:03:45.722Z","updatedAt":"2020-12-09T10:04:34.291Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"A picture of a brick wall","description":"Sisu","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/HpC6xwP5n3wleW5QrSqtP1/7dc2a6a8afde3f7daa30b3fef2a811d6/jaakko-kemppainen-EPG6z0iNG5M-unsplash.jpg","details":{"size":503341,"image":{"width":2000,"height":1125}},"fileName":"jaakko-kemppainen-EPG6z0iNG5M-unsplash.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor kehittää opintohallinnon Sisu-tietojärjestelmää yhdessä opiskelun ja opetuksen palveluita korkeakouluille tarjoavan Funidatan kanssa. Usean eri yliopiston tietoa hyödyntävän Sisu-palvelun kehityksessä kiinnitetään nyt erityisesti huomiota sen käytettävyyteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"“Yhteistyömme Nitorin kanssa on kehittynyt ja syventynyt vuosien aikana. Nyt solmittu ylläpitosopimus on luontainen jatko hyvälle yhdessä tekemiselle,” Funidatan asiakkuuspäällikkö ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Pekka Äikäs","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor on työskennellyt tiiviissä yhteistyössä ","nodeType":"text"},{"data":{"uri":"https://funidata.fi/"},"content":[{"data":{},"marks":[],"value":"Funidatan","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" kanssa jo viisi vuotta suunnittelun, ohjelmistokehityksen ja testauksen muodossa. Työn alla on pitkälti ollut opintohallinnon tietojärjestelmä Sisu. Nitor jatkaa Funidatan kumppanina palvelun ylläpidossa ja jatkokehityksessä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"”Sisu on opetuksen ja opiskelun ydinjärjestelmä, jota käyttävät jo useamman yliopiston henkilökunta ja opiskelijat. Myös Nitorilla on asiantuntijoita, joille Sisu on tullut tutuksi opintojen aikana. On innostavaa olla mukana kehittämässä tuhansille ihmisille jokapäiväisessä käytössä olevaa järjestelmää”, Nitorin ohjelmistoarkkitehti ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Erkki Pulliainen","nodeType":"text"},{"data":{},"marks":[],"value":" kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Elinkaariajattelu on Sisun kehitysperiaatteiden kulmakivi ja sen hallinta perustuu moderniin DevOps-malliin. Jatkuvaan integraatioon sekä jatkuvan toimituksen infrastruktuuriin ja monitorointiin on keskitytty kehityksen alusta lähtien. 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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. Koko organisaatiota palveleva  prosessi on helppoa suunnitella, kun kaikki ymmärtävät saavutettavat hyödyt.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. 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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. 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Jos haluat osallistua Hövding Airbag 3.0. -ilmatyynykypärän arvontaan, jätäthän myös yhteystietosi.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://elomake.helsinki.fi/lomakkeet/105617/lomake.html?rinnakkaislomake=suomi"},"content":[{"data":{},"marks":[],"value":"Vastaa kyselyyn","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kiitos ajastasi jo etukäteen!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Petri Kettunen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tommi Mikkonen","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomi Männistö","nodeType":"text"},{"data":{},"marks":[],"value":" (Helsingin yliopisto, Tietojenkäsittelytieteen osasto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tomas Gustavsson","nodeType":"text"},{"data":{},"marks":[],"value":" (Karlstadin yliopisto)\n\n","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Maarit Laanti","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Andreas Tjernsten","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Erik Fallenius","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Mari Asunmaa","nodeType":"text"},{"data":{},"marks":[],"value":" (Nitor)","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Kuva: Tuomas Uusheimo","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"ketteryys-kykya-reagoida-muuttuviin-faktoihin-osallistu-pohjoismaiseen-agile-selvitykseen","publishDate":"2020-10-12","showRelatedArticles":true}}]}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7McAxm5d8ekOvzLvyyh6YG","type":"Entry","createdAt":"2020-09-30T15:23:26.539Z","updatedAt":"2020-12-17T16:36:09.480Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"insight","title":"Analytiikka","slug":"analytiikka","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1f5YdRIbHgKa7frSkw6s6q","type":"Entry","createdAt":"2020-09-30T11:42:17.365Z","updatedAt":"2020-12-15T19:30:58.110Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"hero"}},"locale":"fi-FI"},"fields":{"name":"Analytics Hero","title":"Hyödynnä dataa liiketoimintalähtöisesti","additionalTitle":"Analytiikka","paragraph":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Valjasta datalähtöinen päätöksenteko osaksi liiketoimintasi arkea. 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. Koko organisaatiota palveleva  prosessi on helppoa suunnitella, kun kaikki ymmärtävät saavutettavat hyödyt.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"references":[]}},{"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":"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. 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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. 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Now, let’s look into the second major change, which also is closely related to the first – putting the Customer left, right, and center of everything an Organization does.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"SAFe defines the goal with Lean thinking in the ","marks":[],"data":{}},{"nodeType":"text","value":"SAFe House of Lean as follows","marks":[{"type":"italic"}],"data":{}},{"nodeType":"text","value":":","marks":[],"data":{}}],"data":{}},{"nodeType":"blockquote","content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The goal of Lean is to deliver the maximum customer value in the shortest sustainable lead-time while providing the highest possible quality to customers and society as a whole","marks":[{"type":"italic"}],"data":{}}],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to maximize something, you have to understand what it is. Understanding value has become paramount for organizations providing direct Value to consumers (Business to Consumer products & services). The phrase “customer is king” has never been more true digitalization has driven personalization, which makes it more important than ever to appeal to individual Customers of your business. 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Also, over the last ten years, there’s been a lot of development in the Design community when it comes to methods, tools & practices to better understand and empathize with the Customer. But how to apply those in a SAFe context?","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In the Big Picture, the Customer has moved from the Solution level into Essential to emphasize that the Customer isn’t optional. 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For those of you who are working as Designers; you will not be surprised by the tools and practices themselves. In fact, some might even feel a little outdated. Remember that nothing enters the framework without it being proven somewhere, so you won’t find very novel approaches in it if you work at the forefront of Design. 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It just hasn’t been clear to everyone since up until now it has only been implicit. The Customers decide what is valuable to them, so in order to be a successful Business, focus has to be on maximizing Value while minimizing the effort to provide it. Organizations also need to have the ability to reorganize around the changed value flow when customer or market conditions change. Continuously. Relentlessly.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In the third and final article, we highlight some of the more subtle but important changes to SAFe and make an overall conclusion about the upcoming release. 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Contribute to the study and make your voice heard!","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Our coaches often get questions about the use of agile methods in the countries where we are organizing training sessions or workshops.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"One of the most well-known recent studies about agile adoption and usage is the ","nodeType":"text"},{"data":{"uri":"https://www.stateofagile.com/"},"content":[{"data":{},"marks":[],"value":"State of Agile by VersionOne","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". The survey, however, doesn’t provide answers by country, which means that the question remains partly unanswered from a scientific point of view.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To get an answer to the questions for Finland, the University of Helsinki, together with Nitor surveyed agile methods last autumn. We learned, for example, that the most popular methods among the respondents in Finland were Scrum (88%), Kanban (81%), DevOps (62%), SAFe (61%) and Lean methods (52%). You can read more about the results of the Finnish survey ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"on our blog","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":". Additional survey results were presented by Maarit Laanti, founder of Nitor Delta, at the ","nodeType":"text"},{"data":{"uri":"https://www.researchgate.net/publication/333775064_SAFe_Adoptions_in_Finland_A_Survey_Research"},"content":[{"data":{},"marks":[],"value":"XP conference in Montreal","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" in May.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Now, the University of Helsinki, Nitor and Blekinge Institute of Technology are repeating the study in Sweden, where we also have our new office. We aim to collect research material that is comparable with the results from Finland and enable comparisons and analysis across the countries.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Cooperating with the University of Helsinki and Blekinge Institute of Technology guarantees a high quality of research. 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Euroopan Great Place to Work -tutkimuksen tulokset julkistettiin Nobel-juhlistakin tunnetun Tukholman kaupungintalon salissa pidetyssä palkintogaalassa. Nitor sijoittui omassa sarjassaan kolmanneksi ollen siten parhaiten sijoittunut suomalaisyritys. Tänä vuonna mukana oli ennätysmäärä yrityksiä Suomesta.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor sai tunnustuksensa vauhdikkaassa palkintogaalassa, jossa oli euroviisumainen tunnelma aina räväkästä popbändistä eri maiden liehuviin lippuihin. Vuonna 2007 perustettu Digitaalinen insinööritoimisto osallistui Great Place to Work -organisaation järjestämään tutkimukseen viidettä kertaa. Nitor on valittu Suomen parhaaksi työpaikaksi nyt kaksi kertaa peräkkäin vuosina 2018–2019. 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Valinta yhdeksi Euroopan parhaista työpaikoista lämmittää erityisen paljon nyt, kun laajenemme kansainvälisesti”, toimitusjohtaja Matti Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6a9L62UehDS93CzbkuBgI7","type":"Asset","createdAt":"2020-11-27T16:57:16.671Z","updatedAt":"2020-11-27T16:57:16.671Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_2.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6a9L62UehDS93CzbkuBgI7/9ccdaf3417bf444b2ea16e1cd3a1a77d/Nitor_GPTW_2019_2.JPG","details":{"size":306953,"image":{"width":1600,"height":1200}},"fileName":"Nitor_GPTW_2019_2.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor toimii jo nyt useammassa maassa vieden esimerkiksi ketterien menetelmien koulutusta ja toimintakulttuuria suuryrityksiin ympäri Eurooppaa. Yritys avasi toimiston Tukholmaan puolitoista vuotta sitten ja kasvattaa uusien asiakkuuksien myötä jalansijaansa Ruotsissa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"”Palveluillemme on kysyntää lahden molemmin puolin, mutta haluamme kasvaa vain sitä tahtia, kun onnistumme löytämään parhaita mahdollisia työntekijöitä. Uskon, että Nitorin arvot – yhtenäisyys, ketteryys, tehokkuus, pragmaattisuus ja intohimo – resonoivat digitaalisten palveluiden parissa toimivien kesken kaikkialla. Digitaaliselle insinöörille ei ole yhdentekevää, millaisessa kulttuurissa ja seurassa työtään tekee,” Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"xs3gzeXdgyo6Ndcu2Av2z5","type":"Asset","createdAt":"2020-11-27T16:57:13.576Z","updatedAt":"2020-11-27T16:57:13.576Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_4.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/xs3gzeXdgyo6Ndcu2Av2z5/859814a0b488b61f98c99d26354dc69e/Nitor_GPTW_2019_4.JPG","details":{"size":239797,"image":{"width":1600,"height":1200}},"fileName":"Nitor_GPTW_2019_4.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hierarkian sijaan Nitor tähtää yrityskulttuurissaan avoimuuteen ja itseohjautuvuuteen. Ketterää henkilöstöjohtamista sekä toteutetaan että koulutetaan muille. Nitorin valmentajat auttavat yrityksiä ketterän toimintakulttuurin luomisessa järjestämällä esimerkiksi koulutuksia, joiden avulla organisaatiot voivat toimia tehokkaammin nopeissa muutostilanteissa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitorissa ei ole perinteistä keskijohtoa, vaan jokaisella työntekijällä on tukenaan tasavertainen Kamu, oma valmentaja, jonka kanssa voi luottamuksellisesti keskustella henkilökohtaisista tavoitteistaan tai huolistaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"th31tW2Zhd6M03wCR1SlE3","type":"Asset","createdAt":"2020-11-27T16:56:56.881Z","updatedAt":"2020-11-27T16:56:56.881Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW_2019_3.JPG","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/th31tW2Zhd6M03wCR1SlE3/c99dba3df6334af5ae734e35dded3b53/Nitor_GPTW_2019_3.JPG","details":{"size":1480888,"image":{"width":3024,"height":4032}},"fileName":"Nitor_GPTW_2019_3.JPG","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vuonna 2018 Nitorin liikevaihto kasvoi edellisvuodesta 18,2 % yltäen 25 miljoonaan euroon. Kuluneen vuoden aikana Nitor on laajentanut palveluitaan esimerkiksi tekoälyn ja yritysarkkitehtuurin alueilla ostamalla ATK Helsinki -yrityksen ja käynnistämällä uuden Nitor Insight -liiketoiminnan. Myös kysyntä palvelumuotoilulle, käyttökokemuksen suunnittelulle ja mobiilipalveluiden kehittämiselle on jatkanut kasvuaan.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Me suhtaudumme intohimoisesti työhömme ja ammattitaitoomme, ja siksi haluamme myös tarjota parhaat mahdolliset puitteet ja tiimin työn tekemiseen”, Matti Vilmi summaa.","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"cuBmsmBPEr5omz6Y9f9PM2","type":"Asset","createdAt":"2020-11-27T16:55:26.441Z","updatedAt":"2020-11-27T16:55:26.441Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Nitor_GPTW.gif","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/cuBmsmBPEr5omz6Y9f9PM2/bc45a11a669392ecb37d85bd68e684b4/Nitor_GPTW.gif","details":{"size":1979152,"image":{"width":600,"height":600}},"fileName":"Nitor_GPTW.gif","contentType":"image/gif"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tietoa Great Place to Work 2019 -tutkimuksesta ","nodeType":"text"},{"data":{"uri":"https://www.greatplacetowork.fi/blogit/euroopan-parhaat-tyopaikat-2019"},"content":[{"data":{},"marks":[],"value":"https://www.greatplacetowork.fi/blogit/euroopan-parhaat-tyopaikat-2019","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"LISÄTIETOA","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Matti Vilmi, Nitor","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"},{"data":{},"marks":[],"value":"\nPuh: +358 45 120 4747","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"},{"data":{},"marks":[],"value":"\nE-mail: matti.vilmi@nitor.com","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}}],"slug":"abban-tahdissa-euroopan-parhaiden-tyopaikkojen-joukkoon","publishDate":"2019-06-06"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"nx1LJyLjzIJjTzwLvURxM3","type":"Entry","createdAt":"2020-12-08T09:28:16.944Z","updatedAt":"2020-12-08T09:28:16.944Z","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":"Miten Great Place to Work -menestyjä Nitor kehittää kulttuuriaan jatkossa?","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"CSTfbkn2NdX8SFWy6T7P31","type":"Asset","createdAt":"2020-11-27T16:57:20.197Z","updatedAt":"2020-12-08T09:16:44.960Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"People on stage","description":"Nitor, people, GPTW","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/CSTfbkn2NdX8SFWy6T7P31/1d9b18e53e99aebe5273ab55c8b66edc/GPTW_130_1.jpg","details":{"size":734898,"image":{"width":4000,"height":2668}},"fileName":"GPTW_130_1.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Viisi kertaa Suomen ja Euroopan parhaimpiin työpaikkoihin valittu Nitor jää toistaiseksi pois Great Place to Work -organisaation tutkimuksesta, jossa mitataan maailman parhaita työpaikkoja. Nyt Digitaalinen insinööritoimisto keskittyy kehittämään kulttuuriaan vahvistamalla PeopleOps-toimintaansa sekä tuomalla lisää hyvinvoinnin ja osaamisen kehittämisen palveluita asiantuntijoilleen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.greatplacetowork.fi/"},"content":[{"data":{},"marks":[],"value":"Great Place to Work","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" -gaala on kuulunut digitaalisten insinöörien talveen nyt jo vuosien ajan. Tällä kertaa emme kuitenkaan ole mukana juhlistamassa Suomen parhaita työpaikkoja, vaikka odotammekin tuloksia innolla.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Päätös pois jäämisestä ei ollut helppo, sillä Great Place to Work on kirittänyt Nitorin kulttuurin kehitystyötä merkittävällä tavalla ja jäsennellysti. Koimme kuitenkin, että nyt oli oikea aika hyödyntää ja viedä eteenpäin omaa osaamistamme Nitorin kehityksessä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Olemme jo pitkään edistäneet hyvinvoinnin ja osaamisen kehittämisen palveluitamme nitorilaisten kesken osallistavan ideoinnin avulla. Nitorin kasvaessa myös Agile HR -periaatteilla toimiva PeopleOps-tiimimme on vahvistunut. Tiimi kehittää jatkuvasti matalahierarkiselle organisaatiolle tarpeellisia tukipalveluita ja tekee yhteistyötä esimerkiksi työterveyden kanssa.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hyvinvointipalveluita matalalla kynnyksellä\n","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Olemme ottaneet viimeisen vuoden aikana kehittämisen teemaksi proaktiivisen haasteiden ja huolien kuuntelun: uudella Perjantaipysäkillä nitorilainen voi käydä helposti ja ilman varauksia juttelemassa PeopleOps-ammattilaiselle. Mittaamme henkilöstön hyvinvointia myös kuukausittaisella kyselyllä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Edellämainitut ovat esimerkkejä matalan kynnyksen hyvinvointiavusta. Kuitenkin työn haasteiden alla myös syvempi apu voi tulla tarpeeseen. Olemme esimerkiksi lisänneet mielen hyvinvoinnin palveluita: työpsykologin ja chat-palveluiden lisäksi otimme lyhytpsykoterapian osaksi palveluitamme.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vertaistukea ja verkostoja","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Usein vertaistuki on asiantuntijalle eniten hyödyksi ongelmatilanteissa: ","nodeType":"text"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kamu-Kaveri-toiminta","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" onkin Nitorin kulttuurin peruskiviä. Kamun tavoitteena on säännöllinen ja tavoitteellinen työtoverin tukeminen. Hänen tehtäviinsä saattaa kuulua esimerkiksi perehdyttämistä, kuuntelemista, tukemista, eri elämänalueiden tasapainottamista ja pitkäjänteistä ammatillista sparrausta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Kehitämme myös yhteistyötämme uusien toimijoiden kanssa olemalla aktiivisesti mukana työelämän kehittämisen verkostoissa. Kerromme lisää tulevista, työnhyvinvointiin ja osaamisen kehittämiseen liittyvistä hankkeista kuluvan vuoden aikana.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Haluamme kiittää Great Place to Work -organisaatiosta pitkästä yhteistyöstä. Suomen paras paikka olla töissä on lupaus, jonka haluamme lunastaa joka päivä. Hyödynnämme yhä Great Place to Workilta saatuja työkaluja ja syvennämme niiden avulla löydettyjä näkökulmia. Me jatkamme Nitorin kulttuurin kehittämistä eteenpäin, ja uskon, että näillä eväillä Digitaalinen insinööritoimistomme voi hyvin”, toimitusjohtajamme Matti Vilmi kertoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Katso tästä GPtW:n ja Duunitorin kanssa tehty video, jossa Teija ja Marko kertovat siitä, mikä Nitorilla työskentelyssä on parasta.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"\nEtsimme myös uusia työkavereita, joten ","nodeType":"text"},{"data":{"uri":"https://www.nitor.com/fi/tyopaikat"},"content":[{"data":{},"marks":[],"value":"katso avoimet työpaikat","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" ja laita hakemus tulemaan.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5HTv9i74HOKm9TRD9m8GDu","type":"Entry","createdAt":"2020-06-29T11:44:04.874Z","updatedAt":"2020-06-29T11:44:04.874Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Uutiset","slug":"uutiset"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}}],"slug":"miten-great-place-work-menestyja-nitor-kehittaa-kulttuuriaan-jatkossa","publishDate":"2020-03-12","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3tN4whJIAPMr4md0DC6ZrQ","type":"Entry","createdAt":"2020-12-03T11:28:13.901Z","updatedAt":"2020-12-08T12:30:38.801Z","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":"Joulupukin pikku digi-insinööriapulaiset","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2TfQIVSjXe6qSAg3cZ2asv","type":"Asset","createdAt":"2020-12-03T11:19:19.499Z","updatedAt":"2020-12-08T12:28:48.539Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"fi-FI"},"fields":{"title":"Hand on keyboard with Jouluntekijä bracelet","description":"Posti, jouluntekijä","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2TfQIVSjXe6qSAg3cZ2asv/f8443dd47ddcbea53537c855de1bb29e/Arton_blogi_joulupukin_pikkuapulaiset.jpg","details":{"size":47176,"image":{"width":1140,"height":641}},"fileName":"Arton_blogi_joulupukin_pikkuapulaiset.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Posti on yksi Nitorin tärkeimmistä asiakkaista. Nitor on palvellut Postia perustamisestaan eli vuodesta 2007 lähtien. Postilla voikin tavata varsin monta digitaalista insinööriä varmistamassa, että joulutervehdykset ja paketit (myös ne pehmeät!) löytävät ajoissa vastaanottajille tänäkin jouluna.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Verkkokauppojen joulusesonki käynnistyi jälleen marraskuun lopun Black Friday -tarjouksista. Joulukauden aikana Postin lajittelukeskusten kautta kulkee yli miljoona pakettia viikossa. Verkko-ostosten suosio on kasvanut vuosi vuodelta ja koronaepidemia on entisestään lisännyt etäostosten tekoa. Pakettien lisäksi Posti toimittaa tänäkin jouluna lähes 30 miljoonaa joulukorttia.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Joulusesonki tuo työtä Postin työntekijöiden lisäksi myös tietojärjestelmille, sillä asiakkaat seuraavat ahkerasti pakettien kulkua Postin sähköisten palvelukanavien kautta. Postin sisäisetkin palvelut käyvät täydellä teholla lukiessaan automaattisesti joulukorttien osoitetietoja ja ohjatessaan lähetyksiä niiden vastaanottajille.\n \nPosti varautuu joulusesonkiin ja sen aiheuttamaan kuormaan hyvissä ajoin pitkin vuotta ja Postin IT-osastolla ensimmäiset piparit ilmestyvätkin tarjolle jo pian kesälomien loputtua. Järjestelmien ruuhkahuippuja hallitaan muun muassa käyttämällä moderneja pilvipalveluja ja monet Postin sähköisistä palveluista tuotetaankin Microsoft Azure tai Amazon Web Services -ympäristöissä.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Pilvipalveluiden avulla järjestelmien kapasiteettia saadaan helposti kasvatettua silloin kun sitä tarvitaan. Palvelinkapasiteettia ei enää tarvitse mitoittaa joulun huippusesonkia varten, vaan se kasvaa ja laskee automaattisesti tarpeen mukaan. Vaikka osa Postin palveluista tuotetaan edelleen perinteisistä konesaleista käsin, suunnitellaan lähes kaikki uudet palvelut alusta lähtien pilviympäristöön sopivaksi.\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2qnErFvNA8Vn2j5EnfSK1p","type":"Asset","createdAt":"2020-12-07T13:42:55.415Z","updatedAt":"2020-12-07T13:42:55.415Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"An illustration of a whale carrying packages on its back","description":"Articles, illustration","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2qnErFvNA8Vn2j5EnfSK1p/047e60f87f8a2bc57016881fa30e81d1/pasted_image_0.png","details":{"size":24317,"image":{"width":407,"height":243}},"fileName":"pasted image 0.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"\nKeskeinen osa Postin pilviarkkitehtuuria on Docker-konttien käyttö. Dockerin avulla sovellukset ja palvelut voidaan paketoida alustariippumattomiksi konteiksi. Kontti tarjoaa sovellukselle muuttumattoman ajoympäristön, joka voidaan siirtää kehittäjän koneelta pilveen pyörimään ilman, että sen sisällä pyörivä sovellus huomaa eroa. Kontit ovat kuin pieniä ja helposti liikuteltavia virtuaalipalvelimia.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Liikuteltavuuden lisäksi kontit ovat usein myös muuttumattomia. Sovelluksen kehittyessä julkaistaan päivitys uutena kontin versiona, vanhan jäädessä ennalleen. Pilvipalvelu huolehtii siitä, että uusi versio korvaa kaikki vanhat käynnissä olevat kontit ilman käyttökatkoa. Mikäli uusi versio ei toimi odotetusti tai siihen on lipsahtanut mukaan virhe, on edellinen versio helppo palauttaa takaisin käyttöön.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Joulusesongin kannalta konttien hyvä ominaisuus on se, että niitä on myös helppoa monistaa. Pilvipalvelu valvoo jatkuvasti kontteihin kohdistuvaa kuormaa. Jos käyttäjämäärät kasvavat, uusia kontteja käynnistetään automaattisesti jakamaan kasvanutta tarvetta. Kuormahuipun laskiessa ylimääräiset kontit poistetaan käytöstä. Joustavuus tuo konkreettista hyötyä, sillä joulunajan kasvaneet kävijämäärät jakautuvat hyvin epätasaisesti eri vuorokauden aikoihin. Yksittäisiä ruuhkahuippuja esiintyy esimerkiksi sekä ennen ja jälkeen työpäivien alkua.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Vaikka pilvipalvelut voivatkin skaalautua käytännössä rajattomasti, saattavat fyysisen maailman rajoitukset tulla vastaan. Pakettiautomaatteihin mahtuu kerrallaan vain rajattu määrä paketteja, joten noudathan tilaamasi lähetyksen mahdollisimman nopeasti. Näin myös naapurisi saa pakettinsa mahdollisimman lähelle kotiaan. Digitaaliset insinöörit toivottavat kaikille oikein hyvää ja pakettirikasta joulua!","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Tiesitkö muuten, että joulupukin virallinen osoite on ”Tähtikuja 1, 96930 NAPAPIIRI” ja että Postin lajittelukoneilta löytyy Joulupukkia varten oma erityinen näppäimensä?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"7pSbGuXmFo1pq1zZFkCWPz","type":"Asset","createdAt":"2020-12-07T13:40:43.291Z","updatedAt":"2020-12-07T13:40:43.291Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Posti's sorting machine with a special button for Santa's mail on it","description":"Posti, Articles","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/7pSbGuXmFo1pq1zZFkCWPz/986aa62d2fe5de1e712ecc07e1d4eaa2/pasted_image_0__1_.png","details":{"size":208337,"image":{"width":643,"height":297}},"fileName":"pasted image 0 (1).png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"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"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"iY71G8CapJD5T1JhAK1hR","type":"Entry","createdAt":"2020-06-29T11:43:59.640Z","updatedAt":"2020-06-29T11:43:59.640Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Liiketoiminta","slug":"liiketoiminta"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"FPtImYhXr9wkGbep1ncLf","type":"Entry","createdAt":"2020-11-10T11:08:04.270Z","updatedAt":"2020-11-10T11:08:04.270Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"fi-FI"},"fields":{"name":"Ihmiset","slug":"ihmiset"}}],"slug":"joulupukin-pikku-digi-insinooriapulaiset","showRelatedArticles":true}}]}}],"metaDescription":"Pian kutsumme sinuakin digitaaliseksi insinööriksi.\nOlemme monitaitoisia tulevaisuuden liiketoiminnan rakentajia: digitaalisia insinöörejä. Oletko sinäkin? Tule mukaan luomaan kestävää digitaalista kehitystä.","metaImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"334UHUWq7GgES9xxitGR7f","type":"Asset","createdAt":"2020-12-03T11:34:17.279Z","updatedAt":"2020-12-03T11:34:17.279Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"People learning with LEGOs","description":"LEGO Serious play, workshop, training","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/334UHUWq7GgES9xxitGR7f/c4515754b0943930d3a02221fede5941/lego-serious-play-001.jpg","details":{"size":546749,"image":{"width":3117,"height":1753}},"fileName":"lego-serious-play-001.jpg","contentType":"image/jpeg"}}}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"3Nb7Xh6DFR7yA0WSBVdRsq","type":"Entry","createdAt":"2020-06-29T11:43:49.783Z","updatedAt":"2020-12-16T12:01:48.017Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":11,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"fi-FI"},"fields":{"id":"articles","title":"Artikkelit","slug":"artikkelit","blocks":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6gN1h5EBvQKkY4t8C3GZxp","type":"Entry","createdAt":"2020-12-07T12:32:51.069Z","updatedAt":"2020-12-10T06:41:21.033Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":10,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"grandVisualContent"}},"locale":"fi-FI"},"fields":{"title":"Test","article":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"H11h4CiDFVMo2R2M0I83E4","type":"Entry","createdAt":"2020-11-27T18:42:56.556Z","updatedAt":"2020-12-12T11:57:28.881Z","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":"Kuinka luoda saavutettavia verkkosivuja","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"B7mMyxihwTwMkLfqVdk5d3","type":"Asset","createdAt":"2020-11-27T16:55:26.435Z","updatedAt":"2020-11-27T16:55:26.435Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"fi-FI"},"fields":{"title":"Web-accessibility.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/B7mMyxihwTwMkLfqVdk5d3/b7b2ec8a47f09de73aa041d53203f79d/Web-accessibility.jpg","details":{"size":226183,"image":{"width":1600,"height":900}},"fileName":"Web-accessibility.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Verkkosivujen saavutettavuus on tänä päivänä entistä tärkeämmässä roolissa. Iso osa asioinneistamme keskittyy verkkoon, jossa jokaisen tulisi voida käyttää samoja palveluita esteettä. Lue digitaalisten suunnittelijoidemme Anninan ja Jessen tärpit parempaan verkkosaavutettavuuteen.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Saavutettavuudella tarkoitetaan sitä, että verkkosivut ja mobiilisovellukset sisältöineen suunnitellaan sellaisiksi, että kuka tahansa voi käyttää niitä onnistuneesti. Saavutettavuus on myös yhä merkittävämpi menestystekijä digitaalisten palveluiden kehittämisessä ja käyttökokemuksessa.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Suunnittelijan ja kehittäjän rooli saavutettavissa digitaalisissa palveluissa","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Verkkopalveluista puhuttaessa on hyvä tiedostaa, että palvelu tehdään saavutettavaksi juuri koodissa. Kehitystiimin jäsenten on ymmärrettävä sekä toisiaan että loppukäyttäjää, jotta palveluun saadaan esimerkiksi toimivat värikontrastit, responsiivinen tekstikoko sekä semanttisesti selkeä koodi, joka mahdollistaa käytön näppäimistöllä tai ruudunlukijalla.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Siksi päätimme digitaalisina suunnittelijoina uskaltautua Frontend Master -palvelun ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"Web Accessibility","marks":[],"data":{}}],"data":{"uri":"https://frontendmasters.com/courses/web-accessibility/"}},{"nodeType":"text","value":" -kurssille, jossa käydään läpi saavutettavuuden perusteet verkkosivujen toteutuksessa. Kurssin luento-osuus kestää noin kolme tuntia, mutta varasimme tähän yhden koulutuspäivistämme, jotta saimme myös kurssiin kuuluvat harjoitukset ja oheisopiskelun tehtyä samalla. Luento-osuudesta saimme myös paljon enemmän irti, kun välillä pysähdyimme keskustelemaan kurssin aiheista ja niistä esiin nousseista havainnoista ja kysymyksistä.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Nitorilla oppimista arvostetaan: jokaisella on mahdollisuus käyttää viisi koulutuspäivää vuodessa ja lisäksi käytämme työajastamme 10 prosenttia omien projektiemme kehittämiseen.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Saavutettavuuden perusteet","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Verkkosivun saavutettavuus perustuu siihen, että myös ihmiset, joilla on jokin vamma, voivat tulkita, ymmärtää, liikkua, vuorovaikuttaa ja kontribuoida verkossa. Kurssin alussa luennoitsija kertoi esimerkkinä ihmisten turhautumisen veroilmoituksen täyttöön. Vaikka Suomessa veroilmoituksen täyttö on tehty käyttökokemukseltaan merkittävästi paremmaksi, pystyi tuohon turhautumisen kokemukseen silti samaistumaan. Näin kasvatettiin empatiaa ihmisiä kohtaan, joille digitaaliset palvelut tuottavat jatkuvasti haasteita.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Noin joka viidennellä meistä on nimittäin jokin vamma. Esimerkiksi Amerikassa todella monilla ihmisillä on näkövaikeuksia silmälaseista huolimatta, mikä ilmenee muun muassa sanojen ja kirjainten tulkitsemishaasteina. Näkö- ja kuulovammaisten lisäksi digitaalisten palveluiden tuottajien pitää huomioida myös esimerkiksi tarkkaavaisuushäiriöiset, oppimisvaikeuksien kanssa elävät, sekä ne ihmiset, joilla on fyysisiä vammoja, jotka vaikeuttavat esimerkiksi hiiren käyttöä tai tekevät siitä mahdotonta.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Verkkosivuja voikin navigoida todella monella eri tapaa. Esimerkiksi pelkällä näppäimistöllä liikkumalla, hiiren ja näytöllä olevan virtuaalinäppäimistön kautta, tai ottamalla avuksi päällä tai suulla ohjattavan ohjaimen. Heikkonäköisen tai sokean käyttäjän verkkosivut heräävät eloon ruudunlukijan kautta, jonka pohjalta kyseinen käyttäjä määrittelee koko selainkokemuksensa. Meille vähiten tunnettu apuväline oli ns. Single switch -kytkin, jossa yhdellä ainoalla näppäimellä voidaan käskyttää tietokonetta.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Saavutettavuuden kannalta on huomioitava, että internet on alusta alkaen suunniteltu saavutettavaksi – useat vanhemmalta näyttävät palvelut saattavat olla tästä näkökulmasta todella moderneja. Onkin hyvä muistaa, että kun sivu on suunniteltu saavutettavaksi, se on kaikkien kannalta parempi käyttää.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Näitä asioita opimme","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Kurssin rakenne pohjautuu workshopin yhteydessä kuvattuun luentoon, jossa käsitellään läpi yksi aihealue ja sen jälkeen tehdään aiheeseen liittyvä käytännön tehtävä. Tehtävien ohessa käydään läpi ","marks":[],"data":{}},{"nodeType":"hyperlink","content":[{"nodeType":"text","value":"WebAimin WCAG -tarkistuslistaa","marks":[],"data":{}}],"data":{"uri":"https://webaim.org/standards/wcag/checklist"}},{"nodeType":"text","value":" ja alla muutamia poimintoja aiheista, joihin perehdyimme.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Näppäimistöllä navigoiminen on motorisesti yksinkertaisempaa","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Yksinkertainen tapa parantaa verkkosivun saavutettavuutta on kiinnittää huomiota sen navigoitavuuteen näppäimistöllä. Kun se onnistuu mutkattomasti, on sivusto usein ymmärrettävämpi myös ruudunlukijalle, tai oikeastaan ihan kenelle tahansa.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Kun Internetiä selataan näppäimistöllä, siirrytään tab-näppäimellä eteenpäin ja tab+shift -yhdistelmällä edelliseen elementtiin. Lisäksi käyttöä voidaan helpottaa tekemällä sivuston koodiin niin sanottuja piilotettuja elementtejä, jotka tulevat näkyviin vain, jos sivustoa lähtee käyttämään pelkän näppäimistön avulla. Toiminto “Skip to main content” on tyypillinen esimerkki tällaisesta suunnittelusta ja löytyy esimerkiksi Helsingin Sanomien verkkosivuilta.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Jotkut palvelut, kuten somekanavat, käyttävät myös pikanäppäimiä sivustolla navigoimiseen. Esimerkiksi Twitterissä pikanäppäimet saa kysymysmerkillä näkyviin. Jos sivustolla on käytössä pikanäppäimiä, näistä olisi hyvä pyrkiä tiedottamaan käyttäjiä mahdollisimman aikaisessa vaiheessa. Pikanäppäinten suunnittelussa tulee puolestaan kiinnittää huomiota siihen, että ne eivät mielellään olisi samoja kuin esimerkiksi tietokoneen käyttöjärjestelmän omat pikanäppäinyhdistelmät.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Ohjaa käyttäjän huomio oikeaan kohtaan","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Elementit, joihin tab-näppäimen tai ruudunlukijan huomio eli fokus halutaan osoittaa, on eritelty koodissa. Pelkkä tekstisisältö divin sisällä ei riitä fokuksen tuomiseen, vaan se saadaan aikaan elementeillä, kuten hyperlinkki tai button. Tab-index -attribuutilla voidaan muuttaa fokus-sisällön järjestystä ja tehdä esimerkiksi yllämainittu “Skip to main content” -linkki.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Fokuksen pitäisi olla myös selkeä näkevälle käyttäjälle. Selaimet tekevät oletuksena kehyksen fokuksessa olevaan sisältöön. Harmillisesti fokuksen huomiointi saattaa unohtua, jos käyttöliittymän ulkoasua suunnitellaan kiinnittämättä huomiota saavutettavuuteen.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Ruudunlukija paljastaa verkkosivun toimivuuden","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Ruudunlukija lukee verkkosivun sisällön käyttäjälle tämän puolesta. Mac-käyttäjät voivat ottaa ruudunlukijan suoraan käyttöönsä käyttöjärjestelmän tasolla laittamatta VoiceOverin päälle tai lataamalla selaimeensa ruudunlukija-ohjelman. Windows-käyttäjät voivat kokeilla esimerkiksi ilmaista NVDA-ruudunlukijaa.\n\nSivuston saavutettavuus tai sen puute tulee melko nopeasti esiin ruudunlukijaa käyttäessä. Esimerkiksi erilaisten lomakkeiden käyttö ja täyttäminen takkuaa, jos toiminnoissa ei ole käytetty semanttisesti oikeita HTML-elementtejä tai elementit on nimetty väärin.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Sivuston saavutettavuutta voi parantaa yksinkertaisilla käytännöillä","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Internet on alusta alkaen suunniteltu saavutettavaksi ja interaktiiviset elementit, kuten hyperlinkit, button-painikkeet tai input-sisällöt eriteltiin koodiin jo alusta alkaen. Onkin hyvä muistaa käyttää niitä, eli viittaa elementteihin, kuten buttoneihin, niille kuuluvalla HTML-elementillä. Oikeiden elementtien käyttö tekee myös koodista helppolukuisempaa.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"ARIA-attribuuttien avulla voidaan parantaa esimerkiksi sivuston komponentteihin liittyvää ohjeistusta (aria-describedby) tai ohjeistaa ruudunlukija lukemaan ääneen aktiivisesti tapahtuvia asioita. Näitä voidaan suunnitella esimerkiksi sisällön latauksen tai lomakkeen lähetyksen yhteyteen (aria live regions), jolloin käyttäjä tietää toiminnon olevan käynnissä tai valinnan menneen perille.","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Kehittäjätyökaluista esimerkiksi VScode on hyvä saavutettavuuden kannalta, koska se osaa täyttää aria attribuutit automaattisesti, mikä nopeuttaa ja helpottaa niiden hyödyntämistä kehitystyössä.","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-4","content":[{"nodeType":"text","value":"Työkalut","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Hyviä työkaluja saavuttettavuuden parantamiseen ja kehittämiseen löytyy vaikka kuinka, ja niistä osa käytiinkin jo tekstissä läpi. Niiden lisäksi esimerkiksi NoCoffee -laajennus Google Chromelle auttaa havainnollistamaan erilaisia näköön liittyviä haasteita, jolloin oman sivun designia on helppo työstää myös tästä näkökulmasta. 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Nitor on velaton yhtiö ja sillä on ollut yhtäjaksoisesti jo 12 vuoden ajan korkein mahdollinen luottoluokitus AAA.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Matalan hierarkian mallilla toimivan Nitorin johto uudistui talvella 2020, kun yhtiön operatiivinen johtaja ja yksi perustajista ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Olli Auvinen","nodeType":"text"},{"data":{},"marks":[],"value":" siirtyi yrityksen toimitusjohtajaksi. Nitorin perustamisesta vuonna 2007 lähtien toimitusjohtajana toiminut ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":" jatkaa yrityksessä Senior Advisor -roolissa, johon kuuluu Nitorin tulevan sukupolven johdon valmentaminen.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Viime vuotemme oli onnistunut. Asiakaskuntamme kasvoi ja taloudellinen asemamme vahvistui entisestään. Myös tämä vuosi on lähtenyt liikkeelle kaikesta huolimatta hyvässä vauhdissa. Kestävälle digitaaliselle kehitykselle on tarvetta poikkeustilan kiihdyttäessä digitalisaatiota ja liikevaihtomme onkin kasvanut noin 20 % vauhdissa vuonna 2020“, Olli Auvinen sanoo.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Helsingissä ja Tukholmassa toimiva Nitor on viime vuosina laajentanut palveluvalikoimaansa. Digitaalisten palveluiden suunnittelun ja kehittämisen ohella yhä useampi sen asiakkaista hyödyntää tiedolla johtamisen, data-analytiikan sekä muutoskonsultoinnin palveluita liiketoiminnassaan. 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