The year 2022 is flying by. We have experienced a sensational amount, met many people and further developed our method and ourselves personally. We were on the road again at trade fairs and were again able to accompany and coach our clients in presence. Here you can find a review of the year.
Our Datentreiber expert Sarah is not only a data scientist, she is also a leader & an enthusiastic teacher who wants to collect as many museum days as possible, also in her daily work. Get to know Sarah in the interview now!
A successful data strategy must pass a critical review from three angles: feasibility, viability and desirability. With a smart data strategy design, you can find that sweet spot faster.
With technologies like big data or data lakes you can accumulate a lot of data. But more data does not necessarily imply more information. Before you start collecting, you should be clear about what data will help you how and which data you will need. The Data Strategy canvas supports you in this process.
With data, analytics and data science, many things can be measured. But not everything you measure actually contributes to your customers' success. The Customer Touchpoints canvas keeps you on track.
A basic understanding of tools and methods of data science and analytics as well as a solid methodology are the basis for developing your data strategy. Start your journey with this article in our six-part series of articles.
Wie das mit der von uns entwickelten Methode des Datenstrategie-Designs funktioniert, verrät Ihnen Martin Szugat im Fachartikel im iX-Magazin.
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