When Good Data Goes Bad, Part II

Posted May 11, 2021 in Data Analytics & Digital Technologies
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In Part I of this Advisor series, I argued that data doesn’t “go bad” in the colloquial use of that phrase; rather, it is adulterated by the addition of dubious intent on the part of its collectors and/or users. That intent usually takes the form of reusing or repurposing data already collected to drive a different goal than that for which it was originally gathered. Here in Part II, we look at a couple of examples of these practices.
About The Author
Barry Devlin
Dr. Barry Devlin is a Senior Consultant with Cutter’s Data Analytics and Digital Technologies practice, a member of Arthur D. Little's AMP open consulting network, and an expert in all aspects of data architecture, including data warehousing, data preparation, analytics, and information management. He is dedicated to moving business beyond mere intelligence toward real insight and innovation, complementing technological acumen from informational… Read More
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