DSN caught up with Dave Dimas — program director of engineering, sciences and information technology at the University of California, Irvine Extension — to discuss the role predictive analytics can play in health care, as well as a new certificate program on how to best translate that consumer data into action plans.
The majority of consumer packaged goods companies are failing to place analytics at the heart of their decision-making process, limiting their ability to improve the customer experience and gain business advantage, according to the findings of an Accenture study.
When did providing customer service become an inconvenience for some retail staff?" asks Hamacher Group's Dave Wendland. "Too often I have witnessed reluctance on the part of shoppers to seek help — and if they do, it almost always begins with, 'Sorry for interrupting, but …' Think about that. 'Sorry for interrupting' what?
The challenge for retailers and consumer packaged goods manufacturers these days is how to make a molehill out of a mountain. Big data can seem overbearing to many as they try to ascertain how to mine actionable insights out of those reams of data, all while maintaining the speed to market that today's retail climate demands.
In my last UpMarketing post, Dart and Science, I described how combining quantitative and qualitative research with good old-fashioned gut instincts can drive results. This post examines a related topic: big data. Everyone’s talking about the mountains of data at their fingertips, just waiting for analysis and action. But it seems that no one has figured out an effective way to begin excavating to find the hidden treasure.