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Download or read book Mastering Data Mining written by Berry and published by . This book was released on 2000 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Michael J. A. Berry
Publisher: Wiley
Published: 1999-12-28
Total Pages: 512
ISBN-13: 9780471331230
DOWNLOAD EBOOK"Berry and Linoff lead the reader down an enlightened path of best practices." -Dr. Jim Goodnight, President and Cofounder, SAS Institute Inc. "This is a great book, and it will be in my stack of four or five essential resources for my professional work." -Ralph Kimball, Author of The Data Warehouse Lifecycle Toolkit Mastering Data Mining In this follow-up to their successful first book, Data Mining Techniques, Michael J. A. Berry and Gordon S. Linoff offer a case study-based guide to best practices in commercial data mining. Their first book acquainted you with the new generation of data mining tools and techniques and showed you how to use them to make better business decisions. Mastering Data Mining shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management. In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, Berry and Linoff share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications. Through the cases, you will learn how to formulate the business problem, analyze the data, evaluate the results, and utilize this information for similar business problems in different industries. Berry and Linoff show you how to use data mining to:Retain customer loyaltyTarget the right prospectsIdentify new markets for products and servicesRecognize cross-selling opportunities on and off the Web The companion Web site at http://www.data-miners.com features:Updated information on data mining products and service providersInformation on data mining conferences, courses, and other sources of informationFull-color versions of the illustrations used in the book.
Download or read book Mastering Data Mining written by Michael J. A. Berry and published by Wiley. This book was released on 1999-12-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Berry and Linoff lead the reader down an enlightened path of best practices." -Dr. Jim Goodnight, President and Cofounder, SAS Institute Inc. "This is a great book, and it will be in my stack of four or five essential resources for my professional work." -Ralph Kimball, Author of The Data Warehouse Lifecycle Toolkit Mastering Data Mining In this follow-up to their successful first book, Data Mining Techniques, Michael J. A. Berry and Gordon S. Linoff offer a case study-based guide to best practices in commercial data mining. Their first book acquainted you with the new generation of data mining tools and techniques and showed you how to use them to make better business decisions. Mastering Data Mining shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management. In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, Berry and Linoff share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications. Through the cases, you will learn how to formulate the business problem, analyze the data, evaluate the results, and utilize this information for similar business problems in different industries. Berry and Linoff show you how to use data mining to:Retain customer loyaltyTarget the right prospectsIdentify new markets for products and servicesRecognize cross-selling opportunities on and off the Web The companion Web site at http://www.data-miners.com features:Updated information on data mining products and service providersInformation on data mining conferences, courses, and other sources of informationFull-color versions of the illustrations used in the book.
Author: Michael J. A. Berry
Publisher: John Wiley & Sons
Published: 2004-04-14
Total Pages: 671
ISBN-13: 0764569074
DOWNLOAD EBOOKPacked 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
Download or read book Data Mining Techniques written by Michael J. A. Berry and published by John Wiley & Sons. This book was released on 2004-04-14 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author: V. Kumar
Publisher: Springer
Published: 2018-05-15
Total Pages: 411
ISBN-13: 3662553813
DOWNLOAD EBOOKThis book presents an extensive discussion of the strategic and tactical aspects of customer relationship management as we know it today. It helps readers obtain a comprehensive grasp of CRM strategy, concepts and tools and provides all the necessary steps in managing profitable customer relationships. Throughout, the book stresses a clear understanding of economic customer value as the guiding concept for marketing decisions. Exhaustive case studies, mini cases and real-world illustrations under the title “CRM at Work” all ensure that the material is both highly accessible and applicable, and help to address key managerial issues, stimulate thinking, and encourage problem solving. The book is a comprehensive and up-to-date learning companion for advanced undergraduate students, master's degree students, and executives who want a detailed and conceptually sound insight into the field of CRM. The new edition provides an updated perspective on the latest research results and incorporates the impact of the digital transformation on the CRM domain.
Download or read book Customer Relationship Management written by V. Kumar and published by Springer. This book was released on 2018-05-15 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an extensive discussion of the strategic and tactical aspects of customer relationship management as we know it today. It helps readers obtain a comprehensive grasp of CRM strategy, concepts and tools and provides all the necessary steps in managing profitable customer relationships. Throughout, the book stresses a clear understanding of economic customer value as the guiding concept for marketing decisions. Exhaustive case studies, mini cases and real-world illustrations under the title “CRM at Work” all ensure that the material is both highly accessible and applicable, and help to address key managerial issues, stimulate thinking, and encourage problem solving. The book is a comprehensive and up-to-date learning companion for advanced undergraduate students, master's degree students, and executives who want a detailed and conceptually sound insight into the field of CRM. The new edition provides an updated perspective on the latest research results and incorporates the impact of the digital transformation on the CRM domain.
Author: Manfred Schwaiger
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 547
ISBN-13: 364255721X
DOWNLOAD EBOOKThis volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
Download or read book Exploratory Data Analysis in Empirical Research written by Manfred Schwaiger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
Author: Antonios Chorianopoulos
Publisher: John Wiley & Sons
Published: 2016-01-19
Total Pages: 405
ISBN-13: 1119011558
DOWNLOAD EBOOKA 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.
Download or read book Effective CRM using Predictive Analytics written by Antonios Chorianopoulos and published by John Wiley & Sons. This book was released on 2016-01-19 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Konstantinos K. Tsiptsis
Publisher: John Wiley & Sons
Published: 2011-08-24
Total Pages: 288
ISBN-13: 1119965454
DOWNLOAD EBOOKThis 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.
Download or read book Data Mining Techniques in CRM written by Konstantinos K. Tsiptsis and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Duane E. Sharp
Publisher: CRC Press
Published: 2002-07-19
Total Pages: 220
ISBN-13: 1040080170
DOWNLOAD EBOOKThis handbook provides a detailed description and analysis of the concepts, processes, and technologies used in the development and implementation of an effective customer relationship (CRM) strategy. It takes readers through the evolution of CRM- from its early beginning to today's sophisticated data warehouse-based systems. Illustrations enhance the textual presentation. Case studies provide insight and lessons-to-be-learned and describe the benefits of successful CRM implementations. The chapter on privacy issues covers the processes companies use to ensure the privacy of their customer data, the last chapter explores the benefits of a well-conceived CRM strategy.
Download or read book Customer Relationship Management Systems Handbook written by Duane E. Sharp and published by CRC Press. This book was released on 2002-07-19 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a detailed description and analysis of the concepts, processes, and technologies used in the development and implementation of an effective customer relationship (CRM) strategy. It takes readers through the evolution of CRM- from its early beginning to today's sophisticated data warehouse-based systems. Illustrations enhance the textual presentation. Case studies provide insight and lessons-to-be-learned and describe the benefits of successful CRM implementations. The chapter on privacy issues covers the processes companies use to ensure the privacy of their customer data, the last chapter explores the benefits of a well-conceived CRM strategy.
Author: Federico Rajola
Publisher: Springer Science & Business Media
Published: 2014-07-08
Total Pages: 187
ISBN-13: 3642355544
DOWNLOAD EBOOKAn integrated view of IT and business processes through extended IT governance allows financial institutions to innovate operations which improve business and organizational performance. However, financial institutions still face challenges with CRM systems in delivering expected results due to lack of complete business integration. Increased exchange of knowledge between customers and the amount of such data available is steadily becoming a challenge for companies, especially in extending internal systems to global information systems with the purpose to collect and update data on a global scale. In this book, Prof. Rajola analyses different aspects of CRM systems taking both an organizational and a technological perspective. He adopts a theoretical framework to unpack issues associated with the need for companies to integrate operations and business processes. The emphasis is then drawn to development of effective CRM (and CRM 2.0) initiatives by making use of illustrative case studies of successful CRM systems implementation in the financial industry. The framework adopted in this book can be used by both scholars and managers to evaluate the interdependencies between operations, business processes, and CRM systems. .
Download or read book Customer Relationship Management in the Financial Industry written by Federico Rajola and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated view of IT and business processes through extended IT governance allows financial institutions to innovate operations which improve business and organizational performance. However, financial institutions still face challenges with CRM systems in delivering expected results due to lack of complete business integration. Increased exchange of knowledge between customers and the amount of such data available is steadily becoming a challenge for companies, especially in extending internal systems to global information systems with the purpose to collect and update data on a global scale. In this book, Prof. Rajola analyses different aspects of CRM systems taking both an organizational and a technological perspective. He adopts a theoretical framework to unpack issues associated with the need for companies to integrate operations and business processes. The emphasis is then drawn to development of effective CRM (and CRM 2.0) initiatives by making use of illustrative case studies of successful CRM systems implementation in the financial industry. The framework adopted in this book can be used by both scholars and managers to evaluate the interdependencies between operations, business processes, and CRM systems. .
Author: Chaturvedi
Publisher: Excel Books India
Published: 2006-03-30
Total Pages: 222
ISBN-13: 9788174464569
DOWNLOAD EBOOKAbout the Book: Customer Relationship Management CRM was born in the 1990s in the West. In the initial phases, the over enthusiastic businesses invested almost US$ 400 billion. But, the very same businesses were disheartened very soon primarily because there were no * visible. And, there were no quick results mainly because 80 per cent of the investments were made in technology. 'CRM' meant 'technology' to them then; 'CRM' means 'technology' to them even today. However, no business need bother so long as it is ready to go by the 'human' aspect of CRM, and take technology only as a facilitator. This book is an attempt to present this 'human' side of CRM. The authors' belief is that, in the long-term, CRM can be successful only due to its 'human' face. The book is arranged in three Parts. Part I, Customer Relationship Management, contains the academic inputs titled as Customer is King, Customer Managed Relationships MINI-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategies, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, and Implementing a Technology-based CRM Solution. Part II, Call Centre Management, covers the areas concerning the working of a call centre titled as The Call Centre, Call Centre Functionality, Team Building, Customer Relationship Management, Web-based Customer Support, and Contact Centre Glossary. Part III, Cases, gives a first-hand idea of the working of CRM in the more peculiar contexts, like public sector undertakings through five well documented cases. Contents Part I: Customer Relationship Management, Customer is King, Customer Managed Relationships-Mini-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategy, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, Implementing a Technology-based CRM Solution, Future Trends in CRM Part II: Call Centre Management, The Call Centre, Call Centre Functionality, Team Building, Customer Relatio
Download or read book Customer Relationship Management written by Chaturvedi and published by Excel Books India. This book was released on 2006-03-30 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: Customer Relationship Management CRM was born in the 1990s in the West. In the initial phases, the over enthusiastic businesses invested almost US$ 400 billion. But, the very same businesses were disheartened very soon primarily because there were no * visible. And, there were no quick results mainly because 80 per cent of the investments were made in technology. 'CRM' meant 'technology' to them then; 'CRM' means 'technology' to them even today. However, no business need bother so long as it is ready to go by the 'human' aspect of CRM, and take technology only as a facilitator. This book is an attempt to present this 'human' side of CRM. The authors' belief is that, in the long-term, CRM can be successful only due to its 'human' face. The book is arranged in three Parts. Part I, Customer Relationship Management, contains the academic inputs titled as Customer is King, Customer Managed Relationships MINI-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategies, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, and Implementing a Technology-based CRM Solution. Part II, Call Centre Management, covers the areas concerning the working of a call centre titled as The Call Centre, Call Centre Functionality, Team Building, Customer Relationship Management, Web-based Customer Support, and Contact Centre Glossary. Part III, Cases, gives a first-hand idea of the working of CRM in the more peculiar contexts, like public sector undertakings through five well documented cases. Contents Part I: Customer Relationship Management, Customer is King, Customer Managed Relationships-Mini-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategy, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, Implementing a Technology-based CRM Solution, Future Trends in CRM Part II: Call Centre Management, The Call Centre, Call Centre Functionality, Team Building, Customer Relatio
