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

Daniel S. Putler

ISBN 10: 1138416517 / ISBN 13: 9781138416512

Editore: Chapman and Hall/CRC 2017-07-03, 2017

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Codice articolo 6666-TNFPD-9781138416512

Dati bibliografici

• Titolo: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R
• Editore: Chapman and Hall/CRC 2017-07-03
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1138416517
• ISBN 13: 9781138416512
• Rilegatura: Hardcover
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.