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Tuesday, August 04, 2015

Need for Industrialized Analytics

Good thoughts by Tom Davenport.  We did this to a degree at Procter & Gamble since the 70s,  by creating a strong industrial competency, but we also had a long way to go.    I see this slipping in many places today  by the expectations of 'magic' by Big Data.   Make it a process, and embed it in all that you do.  Innovate too, the methods you use, and data used.

Implications of large-scale predictive analytics models
Analytics has grown from being a “craft” activity to one that is capable of creating thousands, even millions of predictive models and embedding them within operational processes. But if we’re going to industrialize analytics, we need to figure out quality measures and controls just as the manufacturing sector has done for its products.  ... "  

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