Dr. Turel is Professor of Information Systems and Decision Sciences at the College of Business and Economics, California State University, Fullerton, and Scholar in Residence at the Decision Neuroscience Program, Department of Psychology at the University of Southern California (USC). His research interests include a broad range of behavioral, bio-physiological and managerial issues in various contexts. He has published over 140 articles in business, research methods/ analytics, psychology, psychiatry, and neuroscience journals. He has worked with various corporations on improving analytical capabilities and generating insights from data.
As companies strive to improve performance through data-driven decision making, they start putting a stronger emphasis on business analytics. Organizations are therefore increasingly interested in hiring managers with knowledge and experience in applied and decision-oriented data analysis. Hence, this course focuses on the integrative application of various analytics techniques to solve typical business problems, and emphasizes (1) understanding how to tackle problems with data collection, (2) how to run various statistical models, (3) how to interpret the results, and (4) how to convert the results into action plans. The techniques we cover in this course include, for example, customer life time value assessment, segmentation and targeting, optimal new product/service design, and predicting the demand for new products/services. We will cover these issues not only by learning through lectures, but also through applying the abovementioned techniques and managerial judgment to case studies of real companies that required data-driven decision making. Thus, students will not only enhance their quantitative analytical skills but also their managerial decision-making skills.