SAS Voices
News and views from the people who make SAS a great place to work
Having addressed the adaptability and power of an analytics environment in my last two posts, I thought I'd close out this mini-series of blogs by providing the business and technology implications of three attributes that need to define any truly open and unified analytics environment: Cohesion Business: The platform enables
It was just a few years ago that the idea of an Internet of Things (IoT) seemed far off, something out of a science-fiction movie. After all, why would a vehicle need to talk to the road? Why would our utility meters need to talk to the central office? The
You have all seen, or perhaps even created, some really bad graphics: Cluttered, confusing, too small, incomprehensible. Or worse, the author may have committed one of the three unforgivable sins of data visualization by deceptively distorting a map, truncating the axis so as to misrepresent the data, or used double
I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional
In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data