Big Data and cloud projects can go horribly wrong. Don’t let this happen to you.

cloud computing disasters
Stephen Sauer

IT projects are not bulletproof. They are as likely to fail or encounter obstacles before coming to completion than they are to go smoothly. But when it comes to cloud and Big Data projects, the failure rate is disturbingly high.

A 2012 McKinsey study found that on average, 45% of large IT projects run over budget and 7% run late, while delivering 56% less value than anticipated. Another 17% went so bad that the very existence of the company was threatened. Big ERP projects are the poster children for IT project failure, with failure rates of at least 25% commonly cited.

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