How to avoid big data project failures: Your 5-step guide

The big data project failure rate is 60%, according to 2015 research from Gartner. A major contributor to this failure rate is political or people-oriented, rather than the technology. What can big data project managers do to avoid these project failures?

“To succeed, you must develop a viable strategy to deliver business value from a big data initiative,” according to Gartner research director Svetlana Sicular, as stated in a Gartner blog post. “Then map out and acquire or develop the missing and specialized skills that are needed. Once strategy and skill priorities are addressed, then you can move on to big data analytics.”

Author: Mary Shacklett


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