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The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value by Thomas R. Finneran, Jonathan Fox, Michelle Finneran Dennedy

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CHAPTER 13

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Value and Metrics for Data Assets

It is the mark of an educated mind to rest satisfied with the degree of precision which the nature of the subject admits and not to seek exactness where only an approximation is possible

—Aristotle

Or, put another way, don’t go over thinking things—or over measuring things.

—Steve Weiss, Editor

No precision is possible to quantify or qualify the value of data, well or poorly designed system efficiencies, or brand value if we fail to begin. Yet, the reality is that enterprises run on well-trod resources such as money, real estate, and property. They also run on brand loyalty, percentage of churn, ...

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