Daniel Zantedeschi

Assistant Professor, Marketing, Fisher College of Business

Professor Zantedeschi is a quantitative modeler interested in the development and application of statistical methods to further the understanding of consumers’, investors’ and firms’ behavior and to improve business decision-making. Thus, his research is in the exciting, growing field of business analytics. He is primarily investigating the integration of Predictive and Prescriptive analytics by developing appropriate methodological and computational tools. Applications of his research are in several managerial functions such as web and customer analytics, social media analytics, advertising, and multi-channel attribution.

I specialize in

PhD, Information, Risk and Operations Management, University of Texas at Austin