When “big data” reached the apex of the technological hype cycle several years ago, one would have been hard-pressed to find an enterprise that wasn’t scrambling to accumulate massive unstructured datasets — whether they needed them or not. The haphazardness of this bandwagoning was arguably a large part of why, in 2015, around 60 percent of big data projects were failing to advance beyond the piloting and experimentation phase.
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