SAS Voices
News and views from the people who make SAS a great place to work
While managing quality within the four walls of your own operation is all well and good and totally necessary, both the market and your bottom line are demanding a more holistic, quality lifecycle approach, and in support of that aim there is a treasure trove of downstream data waiting to be
This was probably my favorite of the myth-busters webcasts I have been spewing about, and now I definitely want to meet James Dallas so we can discuss and nod emphatically at each other’s insights on this topic! The “You can’t have analytics without IT” myth is the fourth myth covered
Young digital natives are learning chess at an unprecedented rate. Three-year-olds learn chess from the tablet and quickly become more knowledgeable than their parents. But unlike most tablet games, chess is a gateway to Science, Technology, Engineering and Mathematics (STEM) education. We grown-ups must optimize the chess-to-STEM pipeline, but how? Consider this
Data visualization tools are a great way to create impactful reports. A well designed report can give users an understanding of their data quickly and easily. And with tools like SAS® Visual Analytics, users can now quickly visualize and understand vast amounts of data. However, with all the visualization options
Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why
The word “analytics” is widely misused and misunderstood. While SAS arguably invented the advanced analytics and predictive analytics categories more than 38 years ago, other software vendors have used the term to describe things like reporting, monitoring, and tracking what happened. The value of these more simple capabilities are easily