I applaud insurers like BCBSNC that are using predictive modeling to identify members abusing medical services, like ER care, and launching campaigns to better educate them about their less costly -- but no less effective -- options. I've been to the ER a number of times, only once for myself and the rest for my kids (most recently to have one of my daughter's forehead stitched back together after she took an elbow to the head during a basketball game) and I always find myself wondering at my fellow patrons, "Are you really so ill as to require an ER visit?" They may be, but I still wonder.
You've heard all about the data science talent gap that McKinsey cited in 2011, but there's a lot more -- including new information -- that you need to know about McKinsey's ongoing research. Learn more Thursday on All Analytics Radio.
Understanding retail customers means knowing what they will want and when they will want it. To deliver that, retailers must be able to see customer behavior across physical stores, the web, mobile apps, and more.
Chatbots, AI, virtual reality, machine learning, and more will be featured as leading edge technologies for retailers attending the NRF Annual Convention and Expo in New York City. But many retailers are still getting their arms around advanced analytics.