Ota yhteyttä

How to Integrate Preference Data Into Your Analytics Strategy?

By Khanh Luu on 6.3.2017 23:45

The popularity of using online customer survey has grown strongly in the past few years. Companies send out their surveys every once in a while, and collect the data from their customers. However, it’s not unusual that this data is left untouched or luckier, it is analysed but the insight will go straight to archives. Does that sound familiar to you? If so, don’t worry because you are not alone.

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Top 3 Methods to Get Feedback from Mobile Users

By Khanh Luu on 27.2.2017 16:37

It goes without saying in-app analytics is a must for your mobile strategy. It helps you understand how well your app is performing and which are the best and the worst features in the app. However, that’s only the tip of the iceberg. How do we know exactly how users feel about our app? Are they willing to take the app to their friends or for which reason they left our app to use a similar one? Apparently, in-app usage data can’t give you the answers in this situation unless you talk directly to the users.

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The 3 basic things to improve UX with in-app analytics

By Khanh Luu on 1.2.2017 17:29

Mobile app running but not sure where to?

So you’ve launched your mobile app and are now waiting for millions of users to download it? Sorry, but unless your app is featured on Appstore, it may take months, if not years, to reach that goal. 

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Make Data Great Again

By Samuli Ropponen on 8.11.2016 8:47

USAn presidentinvaalien lähestyessä kliimaksiaan, tuloksen ratkaisee kuinka tehokkaasti äänestäjiä autetaan pääsemään äänestyskoppiin asti. 

GOTV eli Get Out The Vote, uurnille mars, sanovat USAn politiikan tutkijat ja arvioivat, että aktivoinnilla voi olla 8-9 prosentin vaikutus kampanjan piirissä oleviin äänestäjiin, ja jopa yhden prosenttiyksikön kasvu äänestysprosenttiin. 

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Ammattina datatieteily

By Samuli Ropponen on 6.10.2015 9:53

Data Science -termi on suomennettu datatieteilyksi, jota harjoittavat datatieteilijät. Datatieteily on suurten datamäärien ymmärtämistä ja järjestämistä.

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