Two different departments with different cultures are necessary for companies to take full advantage of big data, assert Thomas Redman and Bill Sweeney, who explain the idea using an analogy of a lab and a factory. A department with an "open, questioning" structure and staffed by scientists is needed to gather data. Another department -- with a tight, focused structure and dominated by process engineers -- is required to make good use of the data.

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