A common assumption about data-driven marketing is it’s a discipline built on dry land: Statistics, mathematics, programming, data capture, data mining, data hygiene and alignment. Yes, of course as data scientists our eyes light up at the thought of solving problems leveraging data as our foundations. But we have more going on than that: There…

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