Mining Your Own Business in Telecoms Using DB2 Intelligent Miner for Data
The new challenge of integrated solutions is to get more knowledge from data in order to build the most valuable solutions. This IBM Redbook is a solution guide to address the business issues in telecommunications by real usage experience and to position the value of DB2 Intelligent Miner for Data in a Business Intelligence architecture as an integrated solution.
Typical telecoms issues are addressed in this redbook, such as: What are the characteristics of your customers ? Can you predict the customers who are likely to leave? How do you discover the true value of your customers?
This book also describes a data mining method to ensure that the optimum results are obtained. It details for each business issue: - What common data model to use - How to source the data - How to evaluate the model - What data mining technique to use - How to interpret the results - How to deploy the model Business users who want to know the payback on their organization when using the DB2 Intelligent Miner for Data solution should read the sections about the business issues, how to interpret the results, and how to deploy the model in the enterprise. Implementers who want to start using mining techniques should read the sections about how to define the common data model to use, how to source the data, and how to choose the data mining techniques.
Table of Contents
Chapter 1. Introduction Chapter 2. Business Intelligence architecture overview Chapter 3. A generic data mining method Chapter 4. How to discover the characteristics of your customers Chapter 5. Can you predict the customers who are likely to leave? Chapter 6. How to discover the true value of your customers Chapter 7. Can you determin the characteristics of known and unknown fraudulent behavior? Chapter 8. The value of DB2 Intelligent Miner for Data