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Omni-Channel, Retail Mobile and Big Data

Omni-Channel Retail Mobile and Big DataOmni-Channel Retail, Mobile and Big Data offers tantalizing glimpses into current and future omni-channel retail trends and technologies. I “sat down” with three thought leaders and a crowd of smart people on AllAnalytics’ real-time webcast, which featured real-time Q&A with the panelists afterward. You can watch it here.

Panelists Dr. Erik Brynjolfsson, Dr. Yu Jeffrey Hu and Dr. Mohammad Saifur Rahman collaborate on numerous projects, and they are intensely interested in retail transformation. They also referenced one of their recent papers, Competing in the Age of Omnichannel Retailing, and I have added some of its points here as well. The webcast was well moderated by AllAnaytics’ Noreen Seebacher and Beth Schultz.

Although it wasn’t discussed in depth, I observe that big data is especially poignant to retailers for two reasons: they have extremely rich internal, proprietary transaction data on customers (loyalty cards, credit cards, returns information, call center information, service information) and retail customers are the most free-wheeling online. Retail customers discuss their experiences in situations in which they use most types of products. This gives retailers priceless information: […]

Big Data Blowback in Retail: Delving into Customers' Intimate Lives

conversationsIn case you missed it, this seminal post from the New York Times shows a startling example of “big data” hitting retail. Data collection and mining have enabled Target, for example, to predict what degree of pregancy young mothers are in—based on the kind of things they buy.

Although Valley visionaries and enterprise data engineers have been talking about “big data” for years, this post brings it down to the personal retail level. Due to the growing appreciation of social data and behavior, data scientists and marketers now have the glue to use data to increase relevance to customers and clients.

In this post’s main example, data engineers analyzed purchase behavior of pregnant mothers, sifting through voluminous retail data, and they found plenty of patterns that indicated that women were pregnant, down to the trimester! Obviously, enterprises have a large responsibility to use data in ways that won’t violate trust, and many will make mistakes in their efforts to pump up quarterly numbers.Put another way, buying transactions are *very* social, so retailers, whether bricks and mortar or ecommerce, will unleash tremendous intelligence in the […]