Contents

Acknowledgements

CHAPTER ONE Data Mining in CRM

THE CRM STRATEGY

WHAT CAN DATA MINING DO?

THE DATA MINING METHODOLOGY

DATA MINING AND BUSINESS DOMAIN EXPERTISE

SUMMARY

CHAPTER TWO An Overview of Data Mining Techniques

SUPERVISED MODELING

UNSUPERVISED MODELING TECHNIQUES

MACHINE LEARNING/ARTIFICIAL INTELLIGENCE VS. STATISTICAL TECHNIQUES

SUMMARY

CHAPTER THREE Data Mining Techniques for Segmentation

SEGMENTING CUSTOMERS WITH DATA MINING TECHNIQUES

PRINCIPAL COMPONENTS ANALYSIS

CLUSTERING TECHNIQUES

EXAMINING AND EVALUATING THE CLUSTER SOLUTION

UNDERSTANDING THE CLUSTERS THROUGH PROFILING

SELECTING THE OPTIMAL CLUSTER SOLUTION

CLUSTER PROFILING AND SCORING WITH SUPERVISED MODELS

AN INTRODUCTION TO DECISION TREE MODELS

SUMMARY

CHAPTER FOUR The Mining Data Mart

DESIGNING THE MINING DATA MART

THE TIME FRAME COVERED BY THE MINING DATA MART

THE MINING DATA MART FOR RETAIL BANKING

THE MINING DATA MART FOR MOBILE TELEPHONY CONSUMER (RESIDENTIAL) CUSTOMERS

THE MINING DATA MART FOR RETAILERS

SUMMARY

CHAPTER FIVE Customer Segmentation

AN INTRODUCTION TO CUSTOMER SEGMENTATION

SEGMENTATION TYPES IN CONSUMER MARKETS

SEGMENTATION IN BUSINESS MARKETS

A GUIDE FOR BEHAVIORAL SEGMENTATION

BEHAVIORAL SEGMENTATION METHODOLOGY

SEGMENTATION MANAGEMENT STRATEGY

A GUIDE FOR VALUE-BASED SEGMENTATION

DESIGNING DIFFERENTIATED STRATEGIES FOR THE VALUE SEGMENTS

SUMMARY

CHAPTER SIX Segmentation Applications in Banking

SEGMENTATION FOR CREDIT CARD HOLDERS

SEGMENTATION IN RETAIL BANKING

CHAPTER SEVEN Segmentation ...

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