Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

Putler, Daniel S.; Krider, Robert E.

ISBN 10: 1138416517 / ISBN 13: 9781138416512

Published by Chapman and Hall/CRC, 2017

About this Item

Seller Inventory # 384034594

Bibliographic Details

• Title: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R
• Publisher: Chapman and Hall/CRC
• Publication Date: 2017
• Language: English
• ISBN 10: 1138416517
• ISBN 13: 9781138416512
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.

The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

About the Author

Dr. Daniel S. Putler is a Data Artisan in Residence at Alteryx, a business intelligence/analytics software company. Dr. Robert E. Krider is a professor of marketing in the Beedie School of Business at Simon Fraser University. He has also taught in Hong Kong, Shanghai, Portugal, and Germany. His research tackles questions of customer and competitor behavior in retailing and media industries.