SAS Voices
News and views from the people who make SAS a great place to work![SAS loves stats: Marc Huber](https://blogs.sas.com/content/sascom/files/2013/02/11751.jpg)
If you’ve got a few minutes to chat with Marc Huber, don’t miss the opportunity. He has an interesting take on the human side of statistics. As a senior analytical training consultant for SAS, he combines an impressive background in psychology with a passion for math to teach customers around the
![Use visual analytics to find and detect the best forecasting method Insight Toy Company Forecast](https://blogs.sas.com/content/sascom/files/2013/01/forecast-blog-702x336.png)
There are numerous algorithms used in forecasting, and each of those algorithms is optimized for a certain class of data. How does a business analyst know which forecasting algorithm to use? With the new version of SAS Visual Analytics, you don’t have to know – the product does all the
![The key to solving problems is to use ppt The analytics lifecycle with roles from an analytic center of excellence (ACE).](https://blogs.sas.com/content/sascom/files/2013/01/AnalyticsLifecycle_w_ACE_roles3-702x336.png)
With all due respect to Microsoft, I am not talking about that type of ppt, but instead I am referring to people, process, and technology (PPT). SAS helps to solve all types of problems because we bring more to the table than technology; we help our customers get answers to
![Forecasting improves search revenues by 300 percent for midsize business](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
To read more ongoing tips and insights for small and midsize businesses, follow our SAS4SMB blog series or visit SAS for Small and MidSize Business. We all wish we could predict the future. After all, when a company knows its sales for next week, next month and next year, it
![Retailers: Take steps to jump on the mobile bandwagon now](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
Amazon, Apple, eBay, Facebook and Google – known as the Tech Titans to some – continue to set the agenda with their continuous stream of mobile business initiatives. In fact, consumers embrace and, in some cases, expect many of the same mobility resources they’ve experienced through the Titans from the
![Five big data predictions for 2013](https://blogs.sas.com/content/sascom/files/2012/05/bigdata150.jpg)
My predictions for "big data" in 2013 were recently published in the Fourth Quarter 2012 issue of Loyalty Management Magazine, and I wanted to share them here too: Streaming data from gadgets, cars and other devices will become an even bigger and more important data source. Social data will be used