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Books


SAS® Customer Intelligence

External Link: SAS Publishing Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Second Edition by Michael Berry and Gordon Linoff

Packed with more than 40 percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems. Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support. The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining. More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining.


External Link: SAS Publishing Mastering Data Mining: The Art and Science of Customer Relationship Management by Michael Berry and Gordon Linoff

In this follow-up to their successful first book, Data Mining Techniques, Berry and Linoff offer a case-study-based guide to best practices in commercial data mining. This book shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management. In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, the authors share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications.


External Link: SAS Publishing Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring by Naeem Siddiqi

This book presents a business-focused process built on a solid foundation of statistic and data mining principles for the development and implementation of risk prediction scorecards. It describes how risk scorecards can be a powerful tool for risk managers who need to improve the bottom line in their organizations as well as how they can develop and implement these scorecards using internal resources. The book contains the following sections: Scorecard Development Roles, Scorecard Development and Implementation Process Overview, Scorecard Development Process, Scorecard Implementation, and Post Implementation.


For additional books and resources, visit the SAS Bookstore.

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