Business Modeling and Data Mining

By

  • Dorian Pyle, PTI, Leominster

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations.
View full description

Audience

Data miners, data analysts, marketing and financial analysts.

 

Book information

  • Published: May 2003
  • Imprint: MORGAN KAUFMANN
  • ISBN: 978-1-55860-653-1


Table of Contents

Part I: A Map of the Territory: The World, Knowledge and Models. Translating Experience. Modeling and Mining: Putting It Together. Part II: Business Modeling: What is a Model? Framing Business Models. Getting the Right Model. Getting the Model Right. Deploying the Model. Part III: Data Mining: Getting Started. What Mining Tools Do. Getting the Initial Model: Basic Practices of Data Mining. Improving the Mined Model. Deploying the Mined Model. Part IV: Methodology: Methodology. Resources.