10 Big Data Myths Enterprises Must Come to Terms With

 
 
By Chris Preimesberger  |  Posted 2013-12-23 Print this article Print
 
 
 
 
 
 
 
 

The worldwide enterprise software market, growing at a 4 to 5 percent rate year over year, reached a total market size of $342 billion in 2012, according to IDC's Worldwide Semiannual Software Tracker. This huge market, which may edge close to $375 billion this year, is being driven largely by the growth of big data collection and processing. The fastest-growing market segments are data access, analysis and delivery, collaborative applications, CRM applications, security software, and system and network management software. Big data analytics are closely tied to this trend—specifically where the combination of contextual data and the "right" expertise is becoming critical for supporting enterprise decision making and data-driven customer experience solutions. With more and more consumer activity leaving some kind of digital footprint, enterprises are jumping at the notion of deriving insight from the mountains of customer kilobytes. Naturally, with every buzz topic like this comes speculation and assumption, and big data is no different. In this eWEEK slide show, we present big data "myths" and corresponding realities from Robert Bagley, vice president of research and development at experience analysis provider ClickFox.

 
 
 
 
 
 
 
 
 
 
 
 
 
 

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