Oded Netzer is an Associate Professor of Business at Columbia University. Professor Netzer’s research centers on one of the major business challenges of the data-rich environment of the twenty-first century: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms’ decisions. He focuses primarily on building statistical and econometric models to understand how customer choices change over time, and across contexts. His approach to modeling consumers and firm behavior is motivated by relevant business problems. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation. More recently, his research focuses on leveraging text-mining techniques to mine Big Data.
Professor Netzer received a B.Sc. in Industrial Engineering and Management from the Technion (Israel Institute of Technology) and an M.Sc. in Statistics and a Ph.D. in Business, both from Stanford University. His research has appeared in top academic journals in the field. He is the winner of the ISMS Long-term Contribution award, the John Little best paper award, the Frank Bass outstanding dissertation award, the George S. Eccles Research Fund award and Columbia Business School Dean’s Award for teaching excellence.
Prior to joining Stanford, Professor Netzer was a senior consultant in a marketing research, strategy and economic consulting group. Prof. Netzer frequently consults with Fortune 500 and entrepreneurial companies. He is a frequent keynote speaker at industry conferences. Oded teaches at Columbia Business School the core Marketing course to MBA students, a course in Marketing Research to MBA and Executive MBA students and a course on Developing Quantitative Intuition.