With as much as I travel, I have to confess that I’ve become a bit of a food snob. And for good reason, I might add. Two days in a Chilean hospital will make anyone stick with what they know and trust. After that experience, it was just me and
I was recently part of team discussing enterprise architecture with a chief IT architect, and we were explaining how SAS can integrate into their existing infrastructure, add business value on top it and even fit into their future planned infrastructure. This conversation was one of the reasons I blogged about
It seems like only yesterday that the SAS Executive Briefing Center (EBC) parking lot was filled with Craft Services tents, high-end luxury cars, movie cameras and, oh, a few celebrities. But, it’s been nearly a year since SAS became Stark Industries for a day when parts of Iron Man 3
In a previous post I discussed managing analytic all-stars. Now, let's talk about how you can really use the skills of your all-stars to benefit the company. How can you make sure your analytic resources add value within the organization? Increasingly we see both our customers and teams internal to
“We may not see it but math is everywhere around us,” says Paul T. Savarese, Technical Support Statistician at SAS. You don’t have to be a statistician to enjoy this interview, in which Savarese discusses target shooting, Jay Leno and Guinness beer – and ties it all back to the fascinating subject
What's the difference between data mining, forecasting and optimization? When should you use each technique, and how do they interact? Jeremy TerBush, Vice President of Global Analytics, Wyndham Exchange and Rentals explains that he uses all techniques together in an overall predictive process. "Data mining is first step in the system,"
A senior manager in the analytics product management group, Tonya Balan sees herself as a bridge between SAS customers and R&D, ensuring that SAS products stay relevant to the needs of the customer. With a background in statistics and experience as a college professor, Tonya shares her excellent advice and
Imre Polik, senior operations research specialist in the operations research group, truly qualifies as a math lover. Having studied math his entire life—and having taught it for two years—Imre offers some valuable words of wisdom and experience. He even has a couple of stories and jokes up his sleeves! Read
Tammy Jackson, a senior research statistician developer in the economics technology group, says her job is like taking a math test all day—but she wouldn’t have it any other way. With a background in matrices, linear algebra and math education, Tammy is proud of her work and has a keen eye for
Fraud detection presents myriad analytical challenges: gathering sufficient known cases to make typical modeling techniques possible, gathering inputs from disparate data sources, and combining expert knowledge from investigators with findings to be gleaned from the data in an efficient way. Of course, analysts can fall into the trap of thinking
