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The Social Business Enabler of Digital Transformation [CDO Guide to Social Business Part1]

TheSocial Business Enabler of Digital Transformation reveals how social technologies have changed the economics of interacting and collaborating, and it presents four ways that Chief Digital Officers can use social to lower risk and boost returns of digital transformation.

The Social Business Enabler of Digital Transformation [CDO Guide to Social Business Part1]Social business competency is pivotal to digital transformation because it combines four unusual characteristics. First, it makes interacting and collaborating an order of magnitude faster and less costly than current processes; second, few organizations understand how to use social business to interact with key customers to boost profit, so leaders enjoy rare advantage; third, when compared to ecommerce, mobile and big data & analytics investments, social business shows results quickly and costs less. Lastly, social business reveals what stakeholders really think when organizations aren’t in the room, so it’s effective for due diligence and “requirements analysis” for ecommerce, mobile and big data investments.

As Social Business Enabler of Digital Transformation explains, social business has a two-fold value proposition for Chief Digital Officers: they can use social directly to drive reputation, innovation and profit—and […]

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 […]