Five Reasons Why Your Data Science Project is Likely to Fail

More than 85 percent of big data projects fail. A number of factors contribute to these failures, including human factors, and challenges with time, skill and impact. Here are some precautionary data points of advice.

Companies are forging ahead with digital transformation at an unprecedented rate. A recent survey by Gartner Research found that 49 percent of CIOs are reporting that their enterprises have already changed their business models to scale their digital endeavors or are in the process of doing so. As companies forge ahead with these transformations, they are infusing data science and machine learning into various business functions.

Author: Chris J. Preimesberger

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