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Common Drivers Behind Big Data Failures

Failure to prioritize requests for data analysis, poor business user engagement, and not planning for adequate capacity are a few common reasons why high-profile big data projects fail. So reports Tech 2.

Failing to build organizational trust in data projects can also dampen the results of the technology.

Read the full article from Tech 2.

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