Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Chapman & Hall/CRC The R Series), 1st Edition, Daniel S. Putler

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.

Review
"This book is derived from a lecture course in data mining for MBA students. … assumes very little in the way of mathematical or statistical background. The writing style is generally good, and the book should prove useful to its target audience." —David Scott, International Statistical Review (2013), 81, 2

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.

One of a few R data mining books that explain several concepts, such as decision trees, lift chart, etc. step by step using good examples.

Product Details :

• Series: Chapman & Hall/CRC The R Series
• Hardcover: 315 pages
• Publisher: Chapman and Hall/CRC; 1 edition (May 7, 2012)
• Language: English
• ISBN-10: 1466503963
• ISBN-13: 978-1466503960
• Product Dimensions: 0.8 x 7.1 x 9.8 inches

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