I've worked in SAS media relations since 2008. Prior to that I held PR positions at several other technology companies. Earlier in my career I was a news reporter and editor.
While much of what they say is over my non-technical head, one thing is clear: SAS research and development team members are clearly excited by the new capabilities they have added to the newest release of SAS Analytics. Their pride of accomplishment is plain to see -- even by me
It’s that time of year again when we look back and consider how accurately and extensively the SAS story was covered in the media over the past year. It’s not always a simple or predictable story, but it is usually interesting. Consider some of these threads: How did companies or
Perhaps forecasting is a little of both, crystal ball and competitive edge. It’s a crystal ball of sorts because it helps leaders get answers to questions like, “How many? Or, “How much?” to decide what actions best help the business. And it’s definitely a competitive edge when it results in
Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something
Perhaps you're a big data expert who is fluent in Pig, Hive, MapR and all the technologies associated with the open source big data framework. Or maybe your role hasn't yet been touched by the increasingly popular Hadoop system. It's certainly worth a few minutes of your time (or perhaps
As we near the heights of this festive holiday season, children have thoughts of sugar plums dancing in their heads and adults look forward to a long winter’s nap, but we elves of the SAS media relations team reflect on the fruits of a year’s worth of labor. This is
A few weeks back I went shopping for a new car. The experience left me wondering why many dealerships—perhaps the stereotypical small or mid-size US business—were so far behind in use of technology. I was surprised at how little use of tech was in place. At about the same time
Recent SAS-sponsored research by the Economist Intelligence Unit surveyed large enterprises on a number of questions about "big data" and its value. The most prominent finding was that companies with a strategic data plan were much more likely to be financially successful than those who treat data as a tactical
There's recently been a lot of discussion and release of products around high-performance analytic architectures and in-memory computing. It seems like every vendor in the BI and analytics realm has jumped on this bandwagon. Is it all the same stuff? Or are there signficant differences? No question in our minds, the
