SAS Voices
News and views from the people who make SAS a great place to work
In my last blog I detailed the four primary steps within the analytical lifecycle. The first and most time consuming step is data preparation. Many consider the term “Big Data” overhyped, and certainly overused. But there is no doubt that the explosion of new data is turning the insurance business
As a data scientist, I have the rare privilege of possessing the job title that Tom Davenport and others have dubbed the sexiest job in the 21st Century. As this popular job title catches on, I’ve even noticed a trend where customers make direct requests for help specifically from “the data
It's a common problem: Your organization collects vast amounts and types of data – but it's spread across different departments and locations in various formats and systems. It’s a massive challenge to make all that data available, connected and usable to everyone who needs it. That was the scene at