{"id":6745,"date":"2016-09-26T07:00:45","date_gmt":"2016-09-26T15:00:45","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=6745"},"modified":"2016-09-26T07:09:23","modified_gmt":"2016-09-26T15:09:23","slug":"failed-data-projects-no-different-than-anything-else-things-that-can-go-wrong-will","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/failed-data-projects-no-different-than-anything-else-things-that-can-go-wrong-will\/","title":{"rendered":"Failed Data Projects: No Different Than Anything Else. Things That Can Go Wrong Will."},"content":{"rendered":"

Increasingly businesses are turning to data to help run their businesses. \u00a0Benefits include cost reduction, faster and better decision making, and insight in building new products and services.<\/p>\n

Richard Petley<\/a>, director of PwC Risk and Assurance, said that <\/a>“data is the lifeblood of the digital economy, it can give insight, inform decisions and deepen relationships.\u00a0It can be bought, sold, shared and even stolen — all things that suggest that data has value. Yet… very few organizations can attribute a value and, more concerning, many do not yet have the capabilities we would expect to manage, protect and extract that value.”<\/p>\n

Diane Hagglund<\/a>, principal at Dimensional Research, said that “the importance of data analytics to organizations is universally recognized; yet, very few organizations have avoided significant issues with critical data analytics initiatives.\u00a0Executives in particular are recognizing that the complexity and inflexibility of their existing solutions has become a significant barrier to analytics success.\u201d<\/p>\n

A recent study by Snowflake Computing<\/a> identified reasons why data projects can fail<\/a>. \u00a0The reasons include:<\/p>\n