Data Mining Explained

Data Mining Explained helps technically-proficient managers and IT professionals use powerful data mining technologies to solve important business challenges, most importantly to identify and better serve customer needs. Written by data mining experts, Data Mining Explained describes how companies in general and those in key vertical markets can design and build effective technical marketing and sales strategies and operations using data mining.

Contents

• Chapter 1: Data Mining as part of your Customer Relationshiop Management (CRM) Strategy Can Enhance Your Competitive Position
• Chapter 2: Data Mining Can Enhance Your Products and Services
• Chapter 3: Data Mining Can Solve Your Most Difficult Problems
• Chapter 4: Developing Your Data Mining Strategy
• Chapter 5: The Information TeChapter nology of Data Mining
• Chapter 6: The Science of Data Mining
• Chapter 7: Developing a unified set of business intelligence tools
• Chapter 8: Cross:Domain Management Chapter 9: Data Mining in Vertical Industries
• Chapter 10: Data Mining in Retail
• Chapter 11: Data Mining in Insurance
• Chapter 12: Data Mining in Banking & Finance
• Chapter 13: Data Mining in Health Care
• Chapter 14: Data Mining in Telecommunications
• Chapter 15: Data Mining in Government
• Chapter 16: Data Mining Project Management