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Digital Shift: why do data science projects fail?

27 Feb 19

There are many reasons why data science projects fail. You can find out more from the slides of Daniel Meister’s presen­tation series entitled “Digital Shift”.

Abbildung 1: Venn-Diagramm der künstlichen Intelligenz

One thing is clear: a lot can go wrong in the initial phase of a business analysis, often because the focus is wrong. The question must therefore always clearly be: “Where can we actually optimise our (core) business further? What additional infor­mation do we require for this? Do we have a realistic chance of getting this data?” The complete summary of the event can be found under Digital Shift. You can download the presen­tation here.