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

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.