How to Do Data Science in your Company to Get The Most Out of it – Part II

Building a Data Science Team in a fast-growing company, I will share some of my personal insights on how to overcome struggles and get the most from the data in your company. In the last story I suggested a potential structure and favorable conditions for doing Data Science (Components):

In this story, I will present some results-oriented project patterns for data science projects (Flow). In the next story, I will summarize learnings and success factors for data science (Grease). All three stories convey experiences that have been made on the way to maximizing the outcomes of data initiatives.

Author: Till Grupp

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