Description
Book SynopsisThomas W. Miller is faculty director of the Predictive Analytics program at Northwestern University. He has designed courses for the program, including Marketing Analytics, Advanced Modeling Techniques, Data Visualization, Web and Network Data Science, and the capstone course. He has taught extensively in the program and works with more than forty other faculty members in delivering training in predictive analytics and data science.
Miller is owner of Research Publishers LLC and its ToutBay Division, a publisher and distributor of data science applications. He has consulted widely in the areas of retail site selection, product positioning, segmentation, and pricing in competitive markets and has worked with predictive models for more than 30 years.
Miller's books include
Web and Network Data Science,
Modeling Techniques in Predictive Analytics,
Data and Text Mining: A Business Applications Approach,
Research and Information Services: An
Table of Contents
- Preface
- Figures
- Tables
- Exhibits
- 1 Understanding Markets
- 2 Predicting Consumer Choice
- 3 Targeting Current Customers
- 4 Finding New Customers
- 5 Retaining Customers
- 6 Positioning Products
- 7 Developing New Products
- 8 Promoting Products
- 9 Recommending Products
- 10 Assessing Brands and Prices
- 11 Utilizing Social Networks
- 12 Watching Competitors
- 13 Predicting Sales
- 14 Redefining Marketing Research
- A Data Science Methods
- B Marketing Data Sources
- C Case Studies
- D Code and Utilities
- Bibliography
- Index
