SAS Voices
News and views from the people who make SAS a great place to work
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
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
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
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’,
Our perceptions can impact others and influence decisions. As a result, I always like to understand each customer's perception of what SAS is and what we do. There is no right or wrong answer to this question, however the response provides me with a chance to listen to our customers.
Industry-changing dynamics like mobility, smart products, social media and embedded computing put a premium on big data and the insights you can gain from organizational data. As a result, the opportunity to be disruptive with analytics has never been greater. Yet, when it comes to making analytics work, not all organizations