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Does Your Company Need a Data Translator?

“Translating analytics into a language that decision makers understand is not as simple as it sounds. Among other things, the person doing the translating — whether it’s a quant or a data translator serving as a liaison between the quant and an executive decision maker — needs to avoid what’s referred to as data hubris. A data hubris is described as “the often implicit assumption that big data are a substitute for, rather than a supplement to, traditional data collection and analysis.” Bridging the cultural gap between domain specialists and analytics specialists within organizations with an interpretation function performed by a data translator can begin to address the disparity between the claims for big data and its reality.”

Read More at The Sloan Review >