7 reasons for the failure of your big data project and ways to success
The article highlights four common reasons why data analytics projects fail: the lack of a main goal, poor data quality, not addressing customers’ problems, and neglecting the overall project strategy. And, of course, offers ways to make big data projects more successful.
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