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Five Ways to Avoid Big Mistakes with Big Data

Every so often a technology movement comes along that promises to change everything. Many say big data -- which can encompass anything from a few hundred million names in a census survey to billions of data points in a scientific research project -- is one of those game changers.

The big data push in government has spawned computing techniques to process vast amounts of information at speeds that make interpretation practical. They can capture meaningful intelligence, even from unstructured information, and apply the analytics that drive agency decision-making.

Still, advances in big data are in their infancy. A recent survey of security and IT professionals conducted by LogLogic and Echelon One showed 49 percent of respondents were somewhat or very concerned about managing big data, with 38 percent acknowledging they do not have a clear understanding of what big data is.

Here’s how to avoid five common mistakes in managing big data.

Underwritten by:

IBM

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