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The other thing to consider is that data simply has nothing of value. Part of the marketing of big data is the almost fairy tale belief in "insights" existing in any data set if you just look hard enough.


Correct, much data has no value. The cost for storing the data, maintaining the data [in the day-and-age of privacy requirements especially], and combing through the data is often much greater than the value obtained from the data itself.

The expertise we need in the industry is people who understand applications in-and-out and make great decisions on what data is worth keeping for present and future applications. And what data is needed to be kept, but only in aggregates (or anonymized, which reduces costs of maintenance)


Wait, are you telling me GIS data of deer poop distribution in my backyard has no practical value?

But I have thousands of data points, thousands, I tell ya!




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