Dr. Dan Putler has 30 years of experience in developing customer and business analytics models in industry verticals ranging from the performing arts to B2B financial services. He is currently the Data Artisan in Residence at Alteryx, a business information software company. At Alteryx, he is involved with both product development and high level strategy development for the R-based predictive analytics capabilities within Alteryx’s agile Geographic Business Intelligence platform. Prior to joining Alteryx, Dan was a professor of marketing and marketing research at the University of British Columbia’s Sauder School of Business. He has also been on the faculty of Purdue University’s Krannert School of Management. At the University of British Columbia, he developed one of the first MBA level courses (if not the first course) on applied business data mining to be offered at a North American business school. His research has appeared in leading academic marketing journals, he has served on several editorial review boards, and his research has been nominated for awards given by the American Marketing Association. He holds both a B.S. and Ph.D. from the University of California at Berkeley, where he studied statistics, econometrics, and consumer economic models.
Dr. Bob Krider is a professor of marketing in the Beedie School of Business at Simon Fraser University. Prior to coming back to Canada, Bob was on the business school faculty at the Hong Kong University of Science and Technology. In addition to SFU, Bob has taught courses in business data mining and predictive analytics in Hong Kong, Shanghai, Portugal, and Germany. His research tackles questions of customer and competitor behavior in retailing and media industries. He holds a B.Sc. in geophysics and a Ph.D. in marketing both from the University of British Columbia.