Sudhir Voleti is an Associate Professor of Marketing at the Indian School of Business (ISB), where he is also a distinguished faculty member in Business Analytics. A renowned researcher in the fields of marketing research and business analytics, he has previously served as Associate Dean of Faculty Alignment and the Registrar's Office (FARO) at ISB.
Professor Voleti holds a PhD in Marketing and an MS in Applied Statistics from the University of Rochester, a PGDM from Indian Institute of Management (IIM) Calcutta, and a BE from the Birla Institute of Technology, Ranchi, along with years of industry experience.
Professor Voleti is recognised as one of India's leading data science academicians. His research focuses on combining data with econometric and statistical methods to explain phenomena of marketing interest such as evolution in the equity of brands across time, valuation of brands using secondary sales data, the sales impact of geographic and abstract distances between products and markets, and the performance, productivity, and benchmarking of salesforce organisations.
Professor Voleti has published numerous research articles in leading academic journals such as Management Science, Journal of Marketing, Journal of the Royal Statistical Society, the International Journal of Research in Marketing, and the Journal of Retailing, as well as book chapters and articles in the popular media. He also serves on the editorial review boards of numerous journals. Some of his significant works include "Impact of Reference Prices on Product Positioning and Profits", "The role of big data and predictive analytics in retailing", "Why the Dynamics of Competition Matter for Category Profitability", "A Bayesian non-parametric model of residual brand equity in hierarchical branding structures", and "An Approach to Improve the Predictive power of Choice - Based Conjoint Analysis".
Manish Gangwar is an Associate Professor of Marketing at the Indian School of Business (ISB). He is a distinguished faculty member and the Executive Director of the Institute of Data Science and Business Analytics at ISB. A leading academic in pricing and business analytics, he has previously served as Associate Dean of Research and RCI Management at ISB. Professor Gangwar holds a PhD in Management Science from the University of Texas at Dallas, an MS from the University of Kentucky, and a BE from the Indian Institute of Technology, Roorkee, complemented by years of industry experience.
Widely recognised as one of India’s foremost academicians in data science, Professor Gangwar has received several awards for his contributions to research and teaching. He serves on the editorial review boards of several leading academic journals. His expertise lies in advanced analytical methodologies, including machine learning, econometrics, data science, and game theory.
His research spans a wide range of topics, such as competitive promotions, omnichannel retail strategies, dynamic pricing, SaaS revenue models, and the application of AI in marketing. He has published extensively in top-tier academic journals such as Marketing Science, Journal of Marketing, Operations Research, Product and Operations Management, and the Journal of Retailing, as well as in book chapters and industry publications. For more information, please visit his Google Scholar Profile.
