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Seven sure-fire ways to fail at data analytics

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November 7, 2017
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CIO

Organizations need to “clean out debris — incomplete and broken data — and massage data from different sources to make it compatible, comprehensible and as easy as possible to analyze,” says Vectra CTO Oliver Tavakoli. “Make the data as self-describing as possible so all members of the team understand the meaning of the various bits.”

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