Articles liés à Effective CRM Using Predictive Analytics
Synopsis
A step-by-step guide to data mining applications in CRM.
Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques.
The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes.
In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise.
Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications.
Key Features
- Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues.
- Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel.
- Accompanied by a website featuring material from each case study, including datasets and relevant code.
Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM.
Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Antonios Chorianopoulos, Alpha Bank Greece.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Effective CRM using Predictive Analytics
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Wiley, 2016
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
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Effective CRM using Predictive Analytics
Edité par
Wiley, 2016
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
Ancien ou d'occasion
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Effective CRM Using Predictive Analytics
Edité par
Wiley, 2016
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
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Effective CRM using Predictive Analytics
Edité par
Wiley, 2016
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
Neuf
Couverture rigide
Edition originale
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 001967124N
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Effective CRM Using Predictive Analytics
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Effective CRM Using Predictive Analytics
Edité par
Wiley, 2016
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
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Couverture rigide
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Effective Crm Using Predictive Analytics
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Effective CRM using Predictive Analytics
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Effective CRM using Predictive Analytics (Hardcover)
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John Wiley & Sons Inc, New York, 2015
ISBN 10 : 1119011558
ISBN 13 : 9781119011552
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Hardcover. Etat : new. Hardcover. A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues.Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel.Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining. A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781119011552
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