Retail analytics: Here’s lookin’ at you, kids

I recently reunited with to write a story on Big Data analytics in the retail food supply chain. The first bylines I had for that site were in 1999, when I was Editorial Director for that related sites — before the big bursting of the Internet Bubble. Accenture’s Stages of Analytic Capabilities

When the Internet was new, there were no iPods, let alone iOS, Android or Bluetooth-powered beacons; Big Data was just a gleam in its young Business Intelligence mother’s eye. And retailers had no idea what to really do with their Business Intelligence systems. Those who finally do, today, see BI as old news as analytics — predictive and now prescriptive — come into their own, powered by Big Data and cloud computing.

Today, as an exec from SAS told me, a shopper who stands in front of a Nescafé display for more than 10 seconds might just get a virtual tap on the shoulder, or rather a bzzzz in the pocket, with a coupon to get that package of coffee off the shelf and in to the cart.

My favorite interview in this story just might have been Nick Hodson, former head of strategy at Safeway Stores and current leader of the North American consumer and retail business practice of Strategy& PwC, who reminded me that the technology isn’t at all the point of progress so much as creative minds who come-up with new things to do with it. Yes, major retail marketers from Walmart and Nestlé may well fave a backlash over privacy concerns if opt-in/out issues aren’t handled correctly, but these times sure are interesting. Read all about it in my story, ” Predictive Analytics Helping CPGs Reach Individual Consumers.”