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And the Manhattan Project ignored by all data scientists and managers: develop a means and effective metric[s] that measures the quality and veracity of all data going into and coming out of the systems. Not a matching relationship check but a genuine means to measure the truth, provenance and "meaningfulness" of data and aggregated pools of it.

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That's a very interesting insight.

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