4 reasons big data projects fail—and 4 ways to succeed

Big data projects are, well, big in size and scope, often very ambitious, and all too often, complete failures. In 2016, Gartner estimated that 60 percent of big data projects failed. A year later, Gartner analyst Nick Heudecker‏ said his company was “too conservative” with its 60 percent estimate and put the failure rate at closer to 85 percent. Today, he says nothing has changed.

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