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Don’t draft a Big Data blueprint until you’ve sorted out your strategy

Alec_Wagner on ‎01-10-2014 05:20 AM

In 2014, enterprises have moved past the initial Big Data problem of simply storing vast volumes of data to unearthing real, actionable, business value from it. As HP Autonomy VP Brian Weiss recently said on Discover Performance, “It used to be that when we talked about dealing with data volumes, it was all about storage: ‘How do I store all this cheaply? It’s a pain that I can’t delete or find anything.’ Today, it’s more about: ‘I’ve got all this user-created data, and I know there’s great value in there, but how do I get it out?’ ”


Traditional business data represents a mere 10 percent of information—but today’s new data sources and types are wide-ranging. Human information, or unstructured data, is advancing at a mind-boggling pace, but “to most computers it’s fundamentally just noise,” Weiss says. “Most systems simply don’t know how to deal with things like email text and attachments, audio, tweets, video, and so on. We take for granted the complexity of ideas, slang, sentiment, and the fact that our brains sort out new relationships and patterns in a very fluid way.”


Leveraging the other 90 percent of your unstructured data requires powerful tools, connectivity (read: no silos) and, above all, a great strategy. To chart your course and develop a truly strategic road map, check out the SlideShare presentation “The Big Data big picture: 5 strategic imperatives for extracting real business value from your data.”


Related links:

The analytics payoff of getting your data to talk to you

Real business value lies in connecting your data

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About the Author


Alec Wagner is a longtime writer & editor, enterprise IT insider, and (generally) fearless digital nomad.

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