Data at its lowest form of aggregation is not always most useful, and it's very easy to waste time, energy and computing resources trying to model and predict tiny patterns and fluctuations which are, for all intents and purposes, random.

Some big data are unnecessary big, and more value at less cost could have been extracted had the data been intelligently aggregated prior to the modeling.

There is also the habit of using gigantic data files when samples would have sufficed. :-)

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