Accessing computing resources must feel like playing Monopoly in some organizations. If you can out-game fellow analysts or have more-than-a-little luck, you get your report when you need it. If you can’t, you don’t pass Go and have to wait your next turn in the queue . . . whenever
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If the latest issue of sascom magazine has a theme, it’s preparation. The size and speed of your data is growing exponentially, the world of analytics is changing – and we want our readers to be ahead of the curve. That’s why we’re continuing to explore data visualization. Visualizations are
SAS 9.4, our newest platform release offers product enhancements galore, more deployment choices than ever, simplified administration and more. In this post, we take a look at SAS 9.4 deployment options. Now you can choose the best way to provide the world’s most powerful analytics to your users. Is a
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
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’,
Over the last few posts, Lee Ann has been exploring how to marry business strategy with day to day pricing decisions. This week, I’m going to take this discussion in another direction by describing how pricing decisions are made, and the importance of strategic pricing in another industry – sports.
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.