Statistical Methods in Customer Relationship Management

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Release : 2012-07-26
Genre : Mathematics
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Book Rating : 199/5 ( reviews)

Statistical Methods in Customer Relationship Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods in Customer Relationship Management write by V. Kumar. This book was released on 2012-07-26. Statistical Methods in Customer Relationship Management available in PDF, EPUB and Kindle. Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead to future firm profitability, with emphasis on developing an understanding of Customer Relationship Management (CRM) models as the guiding concept for profitable customer management. To understand and explore the functioning of CRM models, this book traces the management strategies throughout a customer’s tenure with a firm. Furthermore, the book explores in detail CRM models for customer acquisition, customer retention, customer acquisition and retention, customer churn, and customer win back. Statistical Methods in Customer Relationship Management: Provides an overview of a CRM system, introducing key concepts and metrics needed to understand and implement these models. Focuses on five CRM models: customer acquisition, customer retention, customer churn, and customer win back with supporting case studies. Explores each model in detail, from investigating the need for CRM models to looking at the future of the models. Presents models and concepts that span across the introductory, advanced, and specialist levels. Academics and practitioners involved in the area of CRM as well as instructors of applied statistics and quantitative marketing courses will benefit from this book.

Studyguide for Statistical Methods in Customer Relationship Management by Viba Kumar, ISBN 9781119993209

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Release : 2013-01-01
Genre :
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Book Rating : 661/5 ( reviews)

Studyguide for Statistical Methods in Customer Relationship Management by Viba Kumar, ISBN 9781119993209 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Studyguide for Statistical Methods in Customer Relationship Management by Viba Kumar, ISBN 9781119993209 write by Cram101 Textbook Reviews. This book was released on 2013-01-01. Studyguide for Statistical Methods in Customer Relationship Management by Viba Kumar, ISBN 9781119993209 available in PDF, EPUB and Kindle. Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9781119993209 .

Customer Relationship Management and IT

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Release : 2020-06-03
Genre : Business & Economics
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Book Rating : 19X/5 ( reviews)

Customer Relationship Management and IT - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Customer Relationship Management and IT write by Danil Dintsis. This book was released on 2020-06-03. Customer Relationship Management and IT available in PDF, EPUB and Kindle. All of us enjoy individually specific service or a product that is delivered for us only. Customer relationship management (CRM) is the area of expertise that helps companies to work with customers based on their specific needs or requirements. To reach success CRM systems implement the most powerful math and IT tools such as statistical analysis, artificial neural nets, and graph systems. This book deals with the practical implementation and meta-analysis of CRM experience in various locations and business areas. The authors have produced a great book and provided meta-analysis of the latest CRM systems and a roadmap of their development. In the chapters, our readers will find descriptive analysis of CRM models, applied tools, and methods.

Data Mining Techniques in CRM

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Release : 2011-08-24
Genre : Mathematics
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Book Rating : 454/5 ( reviews)

Data Mining Techniques in CRM - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining Techniques in CRM write by Konstantinos K. Tsiptsis. This book was released on 2011-08-24. Data Mining Techniques in CRM available in PDF, EPUB and Kindle. This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.

Data Mining Techniques

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Release : 2004-04-14
Genre : Computers
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Book Rating : 074/5 ( reviews)

Data Mining Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining Techniques write by Michael J. A. Berry. This book was released on 2004-04-14. Data Mining Techniques available in PDF, EPUB and Kindle. Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems Each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support The authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining More advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining Covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis