Data Mining Techniques In Crm
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Data Mining Techniques
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Author : Michael J. A. Berry
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-09
Data Mining Techniques written by Michael J. A. Berry and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-09 with Business & Economics categories.
Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.
Data Mining Techniques In Crm
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Author : Konstantinos K. Tsiptsis
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24
Data Mining Techniques In Crm written by Konstantinos K. Tsiptsis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Mathematics categories.
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.
Effective Crm Using Predictive Analytics
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Author : Antonios Chorianopoulos
language : en
Publisher: John Wiley & Sons
Release Date : 2016-01-19
Effective Crm Using Predictive Analytics written by Antonios Chorianopoulos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-19 with Mathematics categories.
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.
Building Data Mining Applications For Crm
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Author : Alex Berson
language : en
Publisher: McGraw-Hill Companies
Release Date : 2000
Building Data Mining Applications For Crm written by Alex Berson and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Learn how to use customer relationship management (CRM) techniques to give your company an edge in the competitive marketplace. --
Building Data Mining Appl For
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Author : Berson
language : en
Publisher: Tata McGraw-Hill Education
Release Date : 2000
Building Data Mining Appl For written by Berson and has been published by Tata McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
A unique comprehensive guide to the business and technology of developing effective Enterprise Customer Relationship management solutions using contemporary data mining techniques. With focus on implementation and data mining technology, this book gives readers the ability to recognize and track patterns within their data, giving them a key competitive advantage over competition.
Mastering Data Mining The Art And Science Of Customer Relationship Management
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Author : Michael J. A. Berry
language : en
Publisher:
Release Date : 2008-09-01
Mastering Data Mining The Art And Science Of Customer Relationship Management written by Michael J. A. Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with categories.
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
Mastering Data Mining
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Author : Berry
language : en
Publisher:
Release Date : 2000
Mastering Data Mining written by Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Marketing categories.
Mastering Data Mining The Art And Science Of Customer Relationship Management
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Author : Michael J. A. Berry
language : en
Publisher:
Release Date : 2000
Mastering Data Mining The Art And Science Of Customer Relationship Management written by Michael J. A. Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Customer relations categories.
Data Mining Cookbook
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Author : Olivia Parr Rud
language : en
Publisher: John Wiley & Sons
Release Date : 2001-06-01
Data Mining Cookbook written by Olivia Parr Rud and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-01 with Computers categories.
Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.
Mining The Web
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Author : Gordon S. Linoff
language : en
Publisher: John Wiley & Sons
Release Date : 2001
Mining The Web written by Gordon S. Linoff and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Introduces business and technical managers to the exciting new frontier in database technology Web sites gather a lot of detailed information about customers. Unfortunately, most companies lack the means to use that information to improve their marketing and customer support functions. Considered by most experts to be the new frontier in the database and data warehousing fields, Web mining solves that problem. Coauthored by two bestselling data mining authors, Mining the Web explains, for corporate decision makers, IT managers, and database marketers, how data mining principles and techniques can be applied to various types of Web sites. More importantly, they describe techniques for using the resulting goldmine of business data to develop more effective advertising campaigns and better customer service.