Associate Dean of Business Analytics, Inmar Presidential Chair, Executive Director of the Center for Analytics Impact at Wake Forest School of Business
Jeffrey D. Camm is Associate Dean of Business Analytics, the Inmar Presidential Chair in Analytics, and the Executive Director of the Center for Analytics Impact at the Wake Forest University School of Business. Professor Camm’s scholarship on the application of optimization modeling and solution algorithms has appeared in Science, Management Science, Operations Research, Interfaces and a variety of other journals.
Camm has coauthored nine textbooks in statistics, management science and analytics and previously served as the editor in chief of Interfaces (now the INFORMS Journal on Applied Analytics). He was the 2016 recipient of the Kimball Medal for service to the operations research profession and is an INFORMS Fellow. A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Tyco, Ace Hardware, Boar’s Head, Brooks Running Shoes and Kroger. His work in supply chain optimization with Procter & Gamble was a 1996 Edelman Award Finalist and is credited with helping P&G save over $250,000,000 annually in their North American supply chain. In 1998, his joint work on nature reserve site selection for efficient conservation was published in the journal Science and appeared in a brief to President Clinton.
Track: Implementing Analytics
Monday, April 15, 11:30am–12:20pm
Analytics Impact: Like A Marathon, The Last Mile Is The Hardest
Data availability, data storage, processing speed and algorithms, are not what is keeping analytics from reaching its full potential. It is the less technical side of analytics that hinders impact and adoption. In this session, we discuss success factors and impediments to analytics impact. We review the operations research/management science literature on this topic, discuss what is different in the age of analytics and also draw on our own research and experience with analytics impact.