Continue shopping
 View Cart
 My Account


Keyword Search:

By Title:


By Speaker:


Title Speaker
Predictive Modeling for Non-statisticians Bill Schneider and Lane Ware $39.99


Description:

Bill Schneider and Lane Ware conduct this webinar to provide predictive modeling insights for non-statisticians. In this webinar, Bill and Lane provide great insight into the mechanics of predictive modeling from a laymanís perspective. In this webinar, you will (1) Gain greater insight into the mechanics of a predictive model, (2) Gain a clearer understanding of the terms used by modelers and, (3) Learn how the results of a model can improve your bottom line.

Speaker Profile:

Bill Schneider

Bill is senior vice president at Customer Communications Group, Inc. (CCG) where he leads the companyís consumer research and analytical solutions. Billís responsibilities include development and management of market research, customer segmentation, predictive modeling, data enhancement and market information products to support target marketing strategies. His expertise encompasses a wide range of disciplines including survey research, multivariate data analysis and market segmentation.

Prior to joining CCG, Bill was principal founder of IntelliStats, Inc., a database marketing and statistical consulting firm. He has also served as director of research for The Leisure Trends Group, suppliers of market data to the leisure, recreation, and sports industries and director of consumer research and product development at National Demographics & Lifestyles (NDL).

Bill has presented research and analytical findings to numerous groups and organizations including the Direct Marketing Educational Foundation, the American Advertising Federation, the Public Relations Society of America, the American Graduate School of International Management and the Cable Television Administration and Marketing Society. He has also represented companies as an expert witness in the field of demography.

Bill is a graduate of the University of Vermont and holds a B.S. in Applied Mathematics and Statistics. He also completed further graduate work in Statistics at Colorado State University.