November/December 2014 Table of Contents
By Eric A. King
Big buzzkill: size and success don’t correlate. Big data needs advanced analytics, but analytics does not need big data.
By Drew Carter and Stephanie Anderson
Fraud doesn’t play favorites; it’s a multi-industry problem. How to employ analytics for effective, proactive fraud monitoring.
By Saurabh Tandon
Detecting fraud among online banking customers in near real time by running a combination of learning algorithms on a data set.
By Mitchell Burman and Lauren Berk
Analytics Operations Engineering, Inc. applies advanced quantitative methods to solve challenging operations problems.
By William M. Patchak
Decision tools continue to evolve, providing analysts with more horsepower to transform vast amounts of information into better decision-making.