BigDataFr recommends: The key to agile data science – experimentation
A real-world example of how a short delivery cycle fosters creativity.

‘I  lead a research team of data scientists responsible for discovering insights that lead to market and competitive intelligence for our company, Computer Sciences Corporation (CSC). We are a busy group. We get questions from all different areas of the company and it’s important to be agile.

The nature of data science is experimental. You don’t know the answer to the question asked of you — or even if an answer exists. ‘[…]

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By Jerry Overton
Source: radar.oreilly.com