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“In data analytics, the phrase, ‘You can have privacy or value, but you cannot have both,’ is an accepted axiom,” writes Gary LaFever, “but it’s actually a dangerous fallacy.” He adds, “The false dichotomy between privacy and value fuels misunderstandings and misconceptions while impairing the ability of organizations to fully leverage the commercial potential of big data.” In this post for Privacy Perspectives, LaFever discusses the development of an alternative data protection scheme, something Information Accountability Foundation Executive Director Martin Abrams recently called “Dynamic Data Obscurity.” This idea moves “beyond protecting data at the data-record level to enable data protection at the data-element level,” LaFever notes.
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