SAS Voices
News and views from the people who make SAS a great place to work![A picture...or a thousand words?](https://blogs.sas.com/content/sascom/files/2012/03/SAS-VA1-702x336.jpg)
I don’t know about you … but I get hundreds of e-mails a day! Not only e-mail – but text messages, tweets, e-mail advertising, notices from blogs, rss feeds…coming to me at a numbingly fast pace day and night. It’s information overload. It’s also overwhelming. And, on a personal level –
![Best practice # 3: Identify and integrate authoritative, trusted data sources](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
Data is everywhere,and getting to and managing that information is vital for accurate reporting, analysis and proactive decision making. This brings us to Best Practice # 3: Identify and Integrate Authoritative, Trusted Data Sources. As you might remember, these tips all come from my interviews with SAS education customers. From Best
![Data scientist or statistician: What's in a name?](https://blogs.sas.com/content/sascom/files/2017/01/AdvancedAnalytics-1-702x336.png)
My name is Tonya, and I’m a Statistician. It’s true. I’ve been one for almost 20 years now. I was crunching numbers and analyzing data long before statistician landed on the sexiest profession list. And now, it seems like that claim to fame has faded in the face of an
![Turning big data (volume, variety, and velocity) into value](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
Today, more companies are offering more products in more markets in more currencies to more customer segments than ever before. The result? An exponential explosion in data covering virtually every aspect of the organization: sales, marketing, finance, manufacturing, legal, HR, and more. Unquestionably, the era of “big data” has arrived.
![Will big data flatten the world?](https://blogs.sas.com/content/sascom/files/2012/04/familydollar_zucker.jpg)
Retail is one of the most time-sensitive industries. Find out how mega-chain Family Dollar Stores Inc., which operates more than 7,400 stores in 45 states, relies on high-performance analytics to shrink data processing windows from days to less than an hour and speed decision making. Scott Zucker, Vice President of
![Best practice # 2: How to meet stakeholders' needs](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
As I mentioned in my previous blog post, I am sharing best practices that I learned from talking to education customers about successful implement ions of information management, reporting and analytics at their K-12 school district or higher education institutions. In that first post, we learned about the importance of securing executive