customer data management

Transform your business into a customer-centric enterprise 

Gain a complete and timely understanding of your customers using MDM-CDI and the real-world information contained in this comprehensive volume. Master Data Management and Customer Data Integration for a Global Enterprise explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework.

Learn to build and use customer hubs and associated technologies, secure and protect confidential corporate and customer information, provide personalized services, and set up an effective data governance team. You'll also get full details on regulatory compliance and the latest pre-packaged MDM-CDI software solutions.

• Design and implement a dynamic MDM-CDI architecture that fits the needs of your business
• Implement MDM-CDI holistically as an integrated multi-disciplinary set of technologies, services, and processes
• Improve solution agility and flexibility using SOA and Web services
• Recognize customers and their relationships with the enterprise across channels and lines of business
• Ensure compliance with local, state, federal, and international regulations 
• Deploy network, perimeter, platform, application, data, and user-level security
• Protect against identity and data theft, worm infection, and phishing and pharming scams
• Create an Enterprise Information Governance Group
• Perform development, QA, and business acceptance testing and data verification

When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. 

• Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems
• Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately
• Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more
• Provides best practices for performing data mining using simple tools such as Excel

Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.

Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organization. Demonstrating how to implement MDM and how to make it complement other IT solutions, this handbook proves that MDM is a fascinating and up-and-coming approach that allows organizations to run customer-centric business operations. With chapters on data governance, MDM data domains, and customer-data case studies, this reference will appeal to programmers, chief information officers, and information technology architects and managers.

How organizations can deliver significant performance gains through strategic investment in marketing

In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing.

• Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization
• In-depth discussion of the fifteen key metrics every marketer should know
• Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms
• Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending
• In-depth examples of how to apply the principles in small and large organizations
• Free downloadable ROMI templates for all examples given in the book

With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time.

The latest techniques for building a customer-focused enterprise environment

"The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc.

Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.

• Plan and implement enterprise-scale MDM and Data Governance solutions
• Develop master data model
• Identify, match, and link master records for various domains through entity resolution
• Improve efficiency and maximize integration using SOA and Web services
• Ensure compliance with local, state, federal, and international regulations
• Handle security using authentication, authorization, roles, entitlements, and encryption
• Defend against identity theft, data compromise, spyware attack, and worm infection
• Synchronize components and test data quality and system performance

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.