ANALYTICS AT WHARTON SERIES: DATA AND ANALYTICS IN REAL ESTATE - OPPORTUNITIES AND CHALLENGES FOR REAL ESTATE AND NON-REAL ESTATE FIRMS
Wednesday, October 21, 2020
Led by Professor Maisy Wong, this 3rd webinar in the 4-part Analytics at Wharton Series discusses the opportunities and challenges in using data and analytics in real estate markets to improve business decisions and strategy. This session describes key trends and challenges at the intersection of data analytics and real estate markets. How do real estate firms use spatial and property data to create value and improve business performance? Real estate is one of the largest items on the balance sheet of firms. Can non-real estate firms utilize better data to create value and improve efficiency of this asset? Professor Eric Bradlow will moderate Q&A.
Speaker:
Maisy Wong, PhD: Dr. Wong is an Associate Professor at the Wharton Real Estate Department and the Assistant Director of the Grayken International Real Estate Program at the Zell/Lurie Real Estate Center. Since 2008, she has taught Real Estate Investments to undergraduates and MBAs and will create a new course on Global Real Estate Investments. She won an Excellence in Teaching Award for the Undergraduate Division. Her research interests include labor mobility, urbanization in emerging markets, housing, and real estate finance, with publications in journals including the American Economic Review, Review of Economic Studies, and Journal of Finance. She is on the editorial board of the Journal of Urban Economics and was elected to the board of the American Real Estate and Urban Economics Association (AREUEA). She has also consulted for the World Bank. Dr. Wong earned her undergraduate degree from U.C. Berkeley in 2003 and her PhD from Massachusetts Institute of Technology in 2008.
Moderator:
Professor Eric Bradlow is the K.P. Chao Professor, Professor of Marketing, Statistics and Education, Chairperson of Wharton’s Marketing Department, and Vice-Dean of Analytics at Wharton. An applied statistician, Professor Bradlow uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems.
Eric is a fellow of the American Statistical Association, American Educational Research Association, is past chair of the American Statistical Association Section on Statistics in Marketing, past Editor-in-Chief of Marketing Science, is a past statistical fellow of Bell Labs, and worked at DuPont Corporation's Corporate Marketing and Business Research Division and the Educational Testing Service.
Date: Wednesday, October 21, 2020
Time: 9am -10am PT
Location: Zoom - details to be sent after registration
Cost: Free