Location, Location, Location: the Key to the Success of Your Business/Operations in a Digital World

 

Audience: Senior Executives
Duration: 2 hours
Location: Miami Business School, University of Miami

Overview

If you are a business owner and plan to open a new office for your business, you must be keen on considering the presence of your competitors’ business in surrounding areas when deciding your new office’s location so as to maximize revenue. If you operate a sports franchise, you may wish to know the locations of your loyal fans based on which more effective marketing strategies can be potentially developed to increase sales of tickets, in particular season tickets. If you are the chief of a police department, you may be interested in predicting future crime locations based on past crime locations in order to develop an optimal strategy of dispatching the police officers. If you own a retail store, you may need to decide in real time who you should send special deals or promotions to among the potential customers who are currently near your store. In all these examples, location is the key to the success of your business/operations!

The wide adoption of global positioning system technology has made it unprecedentedly convenient to obtain geolocation data. As an example, by tracking mobile devices, a wireless carrier can virtually know the locations of their customers in real time. In this seminar, we will discuss available analytical tools to present and analyze geolocation data. In particular, the following topics will be covered: 

Faculty


Yongtao Guan

Yongtao Guan is Leslie O. Barnes Professor and Chair of Management Science at the Miami Business School. He is currently the Director of the Deloitte Institute for Research and Practice of Analytics. Prior to joining UM, Yongtao was Assistant and Associate Professor of Biostatistics at Yale University from 2006-2011 and was Assistant Professor of Management Science at UM from 2003-2006. Yongtao earned his PhD in Statistics from Texas A&M University in 2003. He specializes in modeling spatial, recurrent event and longitudinal data that commonly arise in business, environmental, medical and social media applications. Yongtao’s research has been widely published in leading academic journals in his field, including Journal of the American Statistical Association, Journal of the Royal Statistical Society, Series B, Biometrika and Biometrics. He was a recipient of the prestigious CAREER Award from the National Science Foundation in 2009 and two R01 awards from the National Institute of Health in 2011 and 2013. He is a fellow of the American Statistical Association.


 

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