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Between 70% to 80% of corporate business intelligence projects fail to deliver the insights the business needs, according to research by analyst firm Gartner. Why? Three major reasons: The inability of most enterprise analytics tools to incorporate internal and external data, the difficulty in gathering the right data to use, and the disconnect between insights and the decisions they intend to drive.
It is no surprise that only one-third of CEOs trust the accuracy of internal analytics, according to a study by KPMG. In other words, business leaders lack confidence to make decisions based on the data available to them currently.
In this report, Prevedere, an industry insights and predictive analytics company, has partnered with Microsoft and Dr. Barry Keating, professor of economics and business analytics at the University of Notre Dame, to describe the critical turning point currently facing traditional analytics, as technology and data merge to help business leaders make smarter, faster, forward-looking decisions.
About Dr. Barry Keating
Dr. Barry P. Keating is professor of economics and business analytics in the Mendoza College of Business at the University of Notre Dame. With over 30 years experience in analytics and forecasting, Dr. Keating’s work has appeared in Public Choice, The Quarterly Review of Economics and Finance, and Applied Business Research, among others. Barry has been quoted in the Wall Street Journal and NBC News.