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To Byte or Not to Bite

The myths, realities, and trends behind big data analytics

Tom Kadala
Fri, 08/09/2013 - 16:47
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Without data, a company would never survive today. With a little data, it might have a fighting chance, depending on the quality and timing of the information. But what happens when a company has access to too much data?

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Ironically, the company could go out of business even with the best technology and a staff to manage so-called big data. Why? In part because the data’s ultimate value depends on who interprets and communicates the recommendations to the rest of the company, a task often left to an internal employee or “data scientist,” who may be a recent university graduate armed with theories but little industry experience.

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Comments

Submitted by umberto mario tunesi on Tue, 08/20/2013 - 00:59

risk analysis or analysis risk?

OK the former, what about the latter? How sure are we of our analyses' certainty and reliability? Some General Custer's scouts advised him there were many Redskins around, he undervalued their number but - first and above all - their motivation. Which is very often what data analyses fail to do: Humans are no mere Pytagora's table.

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