The SAS Data Science Blog
Advanced analytics from SAS data scientists
Analytics maturity is a hot topic right now. Many come to SAS for answers on how to assess their analytics maturity and advance their use of analytics, especially at a corporate level. I want to share the highlights of what we usually prescribe from a best practices perspective regarding advancing
How do you hire a Chief Data Scientist? That's not a hypothetical question: I know of at least three companies that are actively looking for a "Chief Data Scientist" at the moment. Hiring the right person is harder than you'd think. Whether or not a Chief Data Scientist is a
We all have some sort of intuitive idea of what time series data is – it’s a bunch of measurements or observations that are marked by a time stamp – we know when the measurement was taken, as well as what was measured. This natural temporal ordering of the data
I’ve heard it said that the only thing you can count on in life is change. The same can be said of technology. Change is certain, and the rate of change seems to accelerate with each passing year. Change requires us to adapt, but as we race to keep up with
Andy Pulkstenis of State Farm thinks it is, stating that this red-headed stepchild among modeling technques is where predictive modeling was ten years ago. He opened his talk, "Do You Know or Do You Think You Know? Creating a Testing Culture at State Farm," at the A2012 conference in Las Vegas with
A year ago I set out to periodically blog from my perspective of leading R&D for our advanced analytics software. I invited SAS colleagues who also work in various areas of advanced analytics to blog on their own interesting conversations with each other and with customers about the intersection of