The recent announcement of SAS Visual Analytics highlights four important characteristics of big data that are key to the ability of marketing organizations to use big analytic data effectively:

  • Visualization is a challenge for big data analysis and we’ll continue to see new approaches to presenting and interacting with it. Better visualization tools are necessary not just because those who aren’t data scientists need to understand and work with the data, but because the increased efficiency and time-to-reaction to the data is critical in many cases – especially for marketers who need to react with lightening speed to current user experiences.
  • In case it isn’t obvious, visualization tools need to work where marketers can access them on web and mobile platforms.
  • In-memory data processing is necessary to support the required speed of analysis. This is still rare.
  • Big data is not only about unstructured data. Relational data and database tools are still important for incorporating structured data.

SAS is far from the only company driving new big data analytic technology, but they are the biggest and seem determined to stay on the front edge.

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