Leading Retailers Harvest Big Data Analytics for Holiday Promotions

by   |    November 8, 2012

Last holiday season, the La Jolla Group, a firm that manages surfing brands O’Neill and Rusty, and motocross brand Metal Mulisha, ran online sweepstakes to capture social graph data about its online customers. It turned out to be too much data too fast. This year will be different: much more focused on programs that yield tangible results. It’s a lesson other retailers exploring big data must learn. Read More…

Romney and Obama

Two Very Different Predictive Models for the Presidential Election

by   |    November 5, 2012

Business analysts would do well to pay attention to the scrutiny that election prediction models engender. While the readouts from a customer analytics project won’t rival the passions generated by a close contest for the White House, there are two important takeaways from the political fray. First, the audience for your predictions needs to understand the terms you use to communicate your findings. Second, you need to be ready to defend your model against loud criticism. Read More…

Hurdling image by Rodrigo Moraes via Wikipedia

Business Problems Suited to Big Data Analytics

by   |    October 18, 2012

Enterprises need clear processes for determining the value proposition of a big data analytics project. In this article, David Loshin examines the applications that make sense for these projects and the criteria that enterprises should use to weigh the costs and benefits of such a strategic investment. Read More…