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[Event] GK Master Class: Business Analysis in Practice
Nov. 29, 2022


The Guanghua-Kellogg EMBA program is delighted to announce that Professor Hansheng WANG, from the department of Business Statistics and Econometrics at Guanghua, will join us in a Master Class on November 29, Tuesday, to share his expertise on the topic “Business Analysis in Practice: From Business Problems to Data Analytical Problems.” This event is open to all the Guanghua students and alumni. We hope to see you there!

Topic: Business Analysis in Practice: From Business Problems to Data Analytical Problems

Time: 19:00-21:00 pm, November 29, 2022, GMT+8

Venue: Zoom Meeting (Scan the QR code to register)

Language: English

Outline:

This is the best of times, when big data and AI are becoming reality. This is also the worst of times, when we are confused and even lost about what to do about business data analysis in actual practice. Big data and AI is not simply about fancy terminology which comes and goes. For successful business data analysis to create value, the most important part is not big data or having sophisticated models, but the business problem itself. How can you correctly identify the business problems most suitable for data value creation? And how can you transform a business problem effectively into a concrete data analytical problem?

During the event, Prof. Wang will share how to address the issues surrounding business analysis, focusing on understanding uncertainty and applying a powerful analytical tool called REGRESSION ANALYTICAL THINKING (RAT). His class will be supported by numerous case studies acquired from his involvement and research in the industry.

Biography:

Professor Hansheng WANG is from the department of Business Statistics and Econometrics at Guanghua School of Management, Peking university. He is the founder of a data science WeChat public account “CluBear”. His research interest focuses on Regression Shrinkage and Selection, Sufficient Dimension Reduction, Ultra-high Dimensional Data Analysis, as well as Nonparametric and Semi-parametric Models. He has published more than 100 papers so far, in addition to a monograph and 3 textbooks. He is also the winner of the National Outstanding Youth Fund (2016), Elsevier China Highly Cited Scholar (Mathematics: 2014-2018). Professor Hansheng WANG is committed to the theoretical research and industry practice of business statistics, researching Quantitative Investment, Internet Credit Investigation, Internet of Vehicles, Mobile Device RTB Advertising Bidding, Search Engine Marketing, E-commerce, Retooling Manufacturing and other important industries.

Source: GSMPKU