Skepticism Moves Big Data Toward Causation

See on Scoop.itData Nerd’s Corner

Skeptical with Big Data? Good. Correlation isn t enough for fruitful analytic advancement

Carla Gentry CSPO‘s insight:

Though causation’s impossible to prove, it’s the data scientist’s responsibility to “build a story around the data” to demonstrate its case. An interesting practical implication of the correlation-causation dilemma, noted by industry luminary Cathy O’Neil, is the risk that putting machine learning techniques in the hands of analytics initiates may be dangerous, since the newbies might be too credulous with the findings, drawing inference from spurious correlations that can lead business astray. I bet many new easy-out big data vendors hope that thought doesn’t gain traction!

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