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Their wordsI am fascinated by the number of opinions out there on the kind of technology, skill sets and even the kind of data required to make a data science team successful, because there's actually very little hard data on which of those are the critical factors.
Their wordsThe first mistake organizations (and managers) make is thinking that the data scientists reporting to you are your whole team.
Our reading
In practice, 80% of a data science team's time is spent wringing meaning out of the data.
Their wordsIn practice, what generally happens is that: 80% of your team's time will be spent wringing meaning out of the data: hunting down datasets, doing ETL and doing initial feature selection.
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