How to build an effective analytics practice
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
Faculty
Daniel Freund is an Assistant Professor of Operations Management at the MIT Sloan School of Management.
His research applies techniques from optimization, stochastic modeling, and revenue management to problems in transportation, online platforms, and humanitarian immigration among others. His work has been recognized with the MSOM Best OM Paper in OR Award (2023), the Applied Probability Society Best Publication Award (2021), the George B. Dantzig Dissertation Award (2018), the Daniel H. Wagner Prize for Excellence in Operations Research and Analytics (2018), and a Best Paper award at the ACM SIGCAS COMPASS conference (2018). Daniel is an AE for Operations Research and frequently serves on ACM program committees (e.g., EC, EAAMO, TheWebConf).
Daniel holds a BSc in mathematics from the University of Warwick (UK), as well as an MS and a PhD in applied mathematics from Cornell University, where he was advised by David B. Shmoys. Before joining MIT, Daniel was a postdoc in Lyft's Marketplace Labs team.
Featured Publication
"On the Supply of Autonomous Vehicles in Platforms."Daniel Freund, Jiayu (Kamessi) Zhao, and Ilan Lobel. In Proceedings of the Twenty-Sixth ACM Conference on Economics and Computation, 2024. SSRN Version.
Featured Publication
"The Dedicated Docket in US Immigration Courts: An Analysis of Fairness and Efficiency Properties."Daniel Freund and Wentao Weng. In Proceedings of the Twenty-Sixth ACM Conference on Economics and Computation, 2024. SSRN Version.
Freund, Daniel and Chamsi Hssaine. Production and Operations Management. Forthcoming.
Banerjee, Siddhartha, and Daniel Freund. Management Science. Forthcoming. SSRN Preprint.
Freund, Daniel, Ilan Lobel, and Jiayu Zhao, MIT Sloan Working Paper 6816-22. Cambridge, MA: MIT Sloan School of Management, July 2024.
Freund, Daniel. Communications of the ACM, May 2024.
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
Rather than saying "we're going to use surge pricing at peak demand periods," they could offer discounts during off-peak periods.