When it comes to predictive analytics and modeling, Big Data should be less about grandness and variety and more about practicality. In other words, the amount of data you have on your customers’ actions, inactions and affinities is less essential than the usability of said data.
According to an IBM study published in October, 67% of IT and business professionals worldwide indicated that predictive modeling was among their company’s analytic capabilities. Unfortunately for marketers, Big Data and predictive analytics aren’t the omniscience-bearing technologies we’d hoped for. Consumers have steadily increased time spent with various media types and devices, and while the resulting behavioral, transactional and social information is a gold mine for marketers, it’s all for naught unless they’re able to make sense of it.
Turning information into actionable insight remains one of the industry’s highest hurdles, with the proliferation of new marketing channels and platforms making for a tricky attribution-to-action scenario. At least 82% of US brand marketers and agencies are concerned with their ability to integrate cross-channel data—and 96% aren’t completely satisfied with their ability to understand and drive ROI from big data—leading me to believe that marketers need to refine their approach to procure the most relevant and valuable... Read more
Archive for Jeremy Bloom 
If Data is Currency, What Are We Buying?
Posted by Jeremy Bloom on March 12th, 2013 at 9:00 am