SAS Voices
News and views from the people who make SAS a great place to work![Showcasing our best: inspiring students with disabilities](https://blogs.sas.com/content/sascom/files/2017/01/SAS-Culture-1-702x336.png)
Ed says the great jobs of tomorrow will be in the fields of science, technology, engineering, and mathematics (STEM). Unfortunately, people with disabilities are currently underrepresented in these fields. So, the accessibility team here at SAS is working hard to make sure that analytical tools are accessible for everyone. This
![Behind the scenes with SAS’ Big Data Guy and the SAS Championship](https://blogs.sas.com/content/sascom/files/2013/08/Big_Data-702x336.jpg)
As professional golfers tune up for the SAS Championship, I had the unique opportunity to sit down for a chat with Big Data. Maybe you've seen him on TV or in your corporate board room. He’s the guy with answers to many of the most complex issues faced by business
![How is analytics like magic?](https://blogs.sas.com/content/sascom/files/2013/08/magician-333x336.jpg)
Are you uncomfortable with analytics? Do you know someone who is? One reason might be that they think of predictive analytics as magic rather than science or fact based. Good magic amazes people and so do good analytic based reports and decisions. Being able to predict what product or service
![Bringing out your dead data: Data management challenges in higher education](https://blogs.sas.com/content/sascom/files/2017/01/DataMgt-1-702x336.png)
Do you have “dead data”? Data that is not relevant or trustworthy? Data that muddles reports and makes data-driven decision making difficult, or even impossible, to manage? If you do, you are in good company as this is an enormous problem throughout higher education. Not to mention, as with all
![Big data and big fish a natural pair at Texas Parks and Wildlife](https://blogs.sas.com/content/sascom/files/2017/01/Analytics-1-702x336.png)
John Taylor likes computer data the way he likes big trout: here, there or anywhere. Which is perfectly natural, considering he’s the data analyst in the Inland Fisheries Department at Texas Parks and Wildlife. Taylor describes his unspoiled enthusiasm for big data and big fish in this sendup of Dr. Seuss that
![Data scientists: We’re not all like Mr Spock…](https://blogs.sas.com/content/sascom/files/2017/01/DataVisualization-1-702x336.png)
There is lot of talk at the moment about data analysts or data scientists, but what do you need to be successful in these roles and what type of person do you need to be? The stereotypical view is that we’re ‘a bit nerdy’ and ‘walk around in white coats’,