DONG Xiaojing
Associate Professor of Marketing and Business Analytics (tenure) , Santa Clara University, US
Founding Director of Master of Science in Business Analytic.
DBA Advisor at emlyon business school
Adjunct Professor at emlyon business school

Prof. DONG Xiaojing is a tenured professor of Marketing and Business Analytics, Director of Master in Business Analytics Program and Director of International Cooperation at the Business School of Santa Clara University. Currently, she also serves as Adjunct Professor as well as DBA supervisor at emlyon business school.

Prof. Dong's research focuses on the field of big data. She has published more than ten articles in world-class journals, including four articles in Marketing Science and Journal of Marketing Research, with more than 400 citations. Some articles have been widely reported, getting great attention from the industry and the entire society. Prof. Dong has frequently received the Outstanding Research Award from Santa Clara University and the Best Research Paper of 2014 Award from the Marketing Science Institute (MSI), the most prestigious marketing science organization in the United States. She works with companies in Silicon Valley, including LinkedIn, Adobe and Google, to build data analytics systems and to guide data marketing, including how marketing and business practices affect customer behavior and decision making, as well as customer interactions, product sales forecasting, dynamic analysis of user decision-making, mobile marketing, user acquisition and customer churn forecasting, customer valuation and new product market development, etc. Prof. Dong has been regularly invited to be the keynote speaker on big data at many leading universities, academic conferences and industry summits in China, and enjoys excellent academic reputation and influence in this domain

  • PhD, Northwestern University
  • MS , Massachusetts Institute of Technology
  • BS , Tsinghua University
  • Big Data Marketing
  • Digital Marketing
  • Search Engine Marketing
  • Customer Dynamics and Predictions
  • Customer Lifetime Value
  • Cross-selling and up-selling,
  • Bayesian Statistics
  • Machine Learning
  • Artificial Intelligence
  • Big Data Marketing
  • Digital Marketing
  • Business Analytics
  • Machine Learning
  • Quantitative Research Method