In today's revolution of computer and information technology there is an abundance of readily available information to be exploited as part of marketing practice.
In today’s revolution of computer and information technology there is an abundance of readily available information to be exploited as part of marketing practice. It is important to be able to recognize, organize and use data intelligently and correctly. This talk is to provide an overview of some basic tools that are useful, or necessary, in understanding consumers and making marketing related decisions.
Currently in China marketing data analysis is still in stage of summarizing frequencies and plotting pie charts. Such simple accounting techniques can barely tap into Big Data’s potential or reveal the important market mechanisms and consumer preferences hidden behind numbers.
Join Professor LI Yang on December 20th for his lecture on developing more sophisticated and useful marketing models, and immerse yourself in the beauty of Big Data marketing.
Join Prof. Jennifer HUANG on December 26th as she will offer solutations to those hot-spot questions below:
How did the industry develop in the U.S.?
How did individual and institutional investors participate in and influence the development of this industry? What can China learn from this experience?
As an investor, how should one choose the optimal portfolio allocation? How to evaluate the performance of funds?
As a money management firm, how should one choose investment strategies? How to get the money to manage? How to design the incentive contracts for their fund managers?
|Time:||19:30 – 21:00 Dec. 20th, Thursday. (Registration starts at 19:00)|
|Location:||5F Onyx 3, Four Seasons Hotel Guangzhou, 5 Zhujiang West Road, Pearl River New City, Tianhe District, Guangzhou|
|Entrance Fee:||FREE, Pre-registration Required|
Professor Yang LI serves as an assistant professor in the marketing division of Cheung Kong Graduate School of Business. Professor LI received his Ph.D. degree in business administration from Columbia University and has taught undergraduate and MBA classes at Columbia Business School.
His research areas include retailing, market structure, consumer choice models and social networks. Professor LI currently holds a U.S. patent.
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