7 keys to high performance data management for advanced analytics

Various research efforts and customer conversations clearly indicate that the data exploration and data preparation stage of the analytic lifecycle is complex and time consuming. Scarce data scientist or data analyst resources are spending the majority of their time on data preparation tasks vs. spending their time on deriving insight […]

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Big Hype requires solid Big Data tenets

Big hype about big data has played a significant role in driving awareness about the value of analytics. SAS welcomes the interest in big data, since it highlights our ability to work with huge volumes of complex and diverse data. Since this is such a critical topic, we have formulated […]

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What type of big is your data?

The basic big data problem is simple to understand: we create too much data to store and analyze it all. The problem gets bigger, however, when you consider the related factors: our problems themselves are getting bigger, the analytics needed to solve them are more complex and the data is […]

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