I've known Jim Cox for a long time. He's the SAS R&D manager for SAS Text Miner, and a gifted singer. We almost never talk about work stuff, because Jim is waaaaay too smart for me. That's why I was so pleased to discover Jim's series of blog entries about
Curt Monash posted a nice summary of the current and planned offerings that help to make SAS analytics more available "in the database" -- allowing you to analyze your data quickly without having to move it around so much. If you use SAS with Teradata, Netezza, or DB2, much of
It's March, and in North Carolina all of the talk is about college basketball. At SAS, we like to brag about how these guys use SAS analytics to predict the NCAA "dance card" with astounding results. This year, the fun question revolves around conference bias and how it affects a
