IT’S GENERALLY ACCEPTED that humans process data faster when the data is presented visually vs. textually. “People are just naturally better at recognizing patterns, trends, groupings, and exceptions in a visual format as opposed to rows and columns of numbers,” says Nik Rouda, Enterprise Strategy Group senior analyst. 

Now, consider the massive amounts of big data enterprises are accumulating and trying to extract useful bits from. It makes sense companies are increasingly eying DV (data visualization) tools that BI (business intelligence) and analytics vendors are offering. Touted for making it easier to recognize trends, correlations, and patterns residing in huge amounts of divergent information, DV tools are also enabling business users to interact with what they find and communicate its relevance more easily.

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Search Code: 77352
Published: March 1, 2015
Last Revised: April 21, 2015

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