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UNDERSTANDING WHY DATA PROJECTS FAIL

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Projects can fail for a host of reasons: lack of funding, tight timelines, wrong expertise, unreasonable expectations, and the like. Add data and analysis methods into the mix, and the list of possible failures not only grows but becomes obscured behind the analysis. A project team might apply an analysis method they can't explain on data they don't understand to solve a problem that doesn't matter—and still think they've succeeded.

Let's look at a scenario.

Becoming a Data Head

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