Research establishing a link between analytics and business performance remains in a nascent stage, but the popular press is rife with examples of firms predicting the viewing and shopping habits of individuals, providing personalized healthcare-related services, and harnessing real-time agricultural data to increase productivity and efficiency. Nevertheless, when defined as the use of advanced mathematics to identify, explain, or predict patterns in data to improve confidence in business decision making to create value, the majority of analytics projects fail to deliver or have low success rates. This Advisor explores some of the reasons for that failure.
Advisor
Why Do So Many Analytics Projects Fail to Deliver?
Posted August 31, 2021 | Technology |
About The Author
Carlos M. Parra is Clinical Professor in the Department of Information Systems and Business Analytics in the College of Business at Florida International University (FIU). Dr. Parra works on qualitative information systems research, including capability emergence, digital communities, and culture studies; neuro-economics, specifically exploring links between neural activation, self-reported measures, lab-task performance, and real-life behaviors… Read More
Brian E. Mennecke was a Full Professor of Management Information Systems at Iowa State University. At the age of 56, he passed away unexpectedly in a boating accident. Dr. Mennecke’s research interests included collaboration and collaborative systems, the use of virtual worlds for collaboration and teaching, mobile and e-commerce, radio frequency ID (RFID), biometrics, spatial technologies and location-intelligence systems, and data… Read More
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