"The strategies that we employ in daily fantasy sports...are especially useful OUTSIDE of sports analytics".
(#93) This week's conversation is all about data analytics from an unusual perspective: our guests reveal what the sports betting industry can tell us about getting data, using data, and asking it the right questions. How it can help predict what'll happen next, and why it means a rethink of the conventional risk/reward balance. University Business and Economics Professors Dr. David Bergman and Dr. Jason Imbrogno also discuss the potential opportunities for accounting and finance professionals that this could offer.
Dr. Jason Imbrogno is an Assistant Professor of Economics in the Department of Economics & Finance at the University of North Alabama. He has a Ph.D. in Economics from Carnegie Mellon University. Dr. David Bergman is an Associate Professor at the University of Connecticut. He lectures in Business Process Modelling and Data Management, as well as Statistics in Business Analytics. He has a Ph.D from Carnegie Mellon University and is particularly interested in large-scale automated decision making, decision diagrams, discrete optimisation, integer programming, machine learning, and the integration of optimisation techniques.
David recommends http://janos.opt-operations.com Jason suggests https://www.footballoutsiders.com/ The annual MIT Sloan Sports Analytics Conference.
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