Mastering Data Mining The Art And Science Of Customer Relationship Management

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.

The leading introductory book on data mining, fully updated andrevised! When Berry and Linoff wrote the first edition of Data MiningTechniques in the late 1990s, data mining was just starting tomove out of the lab and into the office and has since grown tobecome an indispensable tool of modern business. This newedition—more than 50% new and revised— is asignificant update from the previous one, and shows you how toharness the newest data mining methods and techniques to solvecommon business problems. The duo of unparalleled authors shareinvaluable advice for improving response rates to direct marketingcampaigns, identifying new customer segments, and estimating creditrisk. In addition, they cover more advanced topics such aspreparing data for analysis and creating the necessaryinfrastructure for data mining at your company. Features significant updates since the previous edition andupdates you on best practices for using data mining methods andtechniques for solving common business problems Covers a new data mining technique in every chapter along withclear, concise explanations on how to apply each techniqueimmediately Touches on core data mining techniques, including decisiontrees, neural networks, collaborative filtering, association rules,link analysis, survival analysis, and more Provides best practices for performing data mining using simpletools such as Excel Data Mining Techniques, Third Edition covers a new datamining technique with each successive chapter and then demonstrateshow you can apply that technique for improved marketing, sales, andcustomer support to get immediate results.

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.

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.

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. .

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