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Effective CRM using Predictive Analytics

Effective CRM using Predictive Analytics
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Effective CRM using Predictive Analytics
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  • Stock Status: Out Of Stock
  • Sold by Wiley India
  • Seller Rating:    0 Reviews
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  • Publisher: Wiley
  • ISBN-13:  9788126567331
  • Total Pages:  388 Pages
  • Book Language:  English
  • Available Book Formats: Hardcover
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This book aims to present the main data mining concepts and a step by step methodological framework for data mining applications in Customer Relationship Management. It is organized in three sections: Methodology, Algorithms and Case Studies. The book follows a handbook approach and all the topics are described with the use of three very popular data mining tools: IBM SPSS Modeler, the open source RapidMiner and Data Mining for Excel. A large part of the Methodology section is dedicated to presenting a specific roadmap for developing cross / deep / up selling and churn models to optimize marketing campaigns. Data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. A specific explanation is provided for the algorithms used in the..
Pustak Details
Sold ByWiley India
AuthorAntonios Chorianopoulos
ISBN-139788126567331
FormatHardcover
LanguageEnglish
Pages388 Pages
CategoryDATA MINING STATISTICS

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Book Description

Effective CRM using Predictive Analytics

This book aims to present the main data mining concepts and a step by step methodological framework for data mining applications in Customer Relationship Management. It is organized in three sections: Methodology, Algorithms and Case Studies. The book follows a handbook approach and all the topics are described with the use of three very popular data mining tools: IBM SPSS Modeler, the open source RapidMiner and Data Mining for Excel. A large part of the Methodology section is dedicated to presenting a specific roadmap for developing cross / deep / up selling and churn models to optimize marketing campaigns. Data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. A specific explanation is provided for the algorithms used in the case studies for all the presented data mining tools.

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