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The latest techniques for building a customer-focused enterprise environment

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
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This comprehensive revision of the premier resource on master data management (MDM) provides a common framework for the understanding and implementation of MDM initiatives.
Part I. Introduction to Master Data Management; Chapter 1. Overview of Master Data Management; Chapter 2. MDM: Overview of Market Drivers and Key Challenges; Chapter 3. MDM Applications by Industry; Part II. Architectural Considerations; Chapter 4. MDM Architecture Classification, Concepts, Principles and Components; Chapter 5. Data Management Concerns of MDM Architecture: Entities, Hierarchies and Metadata; Chapter 6. MDM Services for Entity and Relationships Resolution and Hierarchy Management; Chapter 7. Master Data Modeling; Part III. Data Security, Privacy and Regulatory Compliance; Chapter 8. Overview of Risk Management for Master Data; Chapter 9. Introduction to Information Security and Identity Management; Chapter 10. Protecting Content for Secure Master Data Management; Chapter 11. Enterprise Security and Data Visibility in Master Data Management Environments; Part IV. Implementing and Governing Master Data Management; Chapter 12. Building Business Case and Roadmap for MDM; Chapter 13. Project Initiation; Chapter 14. Entity Resolution: Identification, Matching, Aggregation, and Holistic View of the Master Objects; Chapter 15. Beyond Party Match: Merge, Split, Groups and Relationships; Chapter 16. Data Synchronization, MDM System Testing, and Other Implementation Concerns; Chapter 17. Master Data Governance; Part V. Master Data Management: Market, Trends and Directions; Chapter 18. MDM Vendors and Products Landscape; Chapter 19. Where Do We Go From Here; Part VI: Appendixes; Appendix A. List of Acronyms; Appendix B. Glossary; Index
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“This is a great book about MDM and its impact on our businesses, governments, and in many ways most of our lives. Written in a simple and effective style, it tells the story of how Master Data Management works, what it does, and why we should care very much how it is governed. If you have any interest in MDM, Data, or Information Governance, read this book.” –Steven B. Adler, CIPP, IBM Information Governance Solutions

“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. This makes the book especially valuable as a reference work.” –Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc.

“In this book, Alex Berson and Larry Dubov convey the many facets of the value of adopting master data management techniques while ably articulating an implementation roadmap. By maintaining the need to incorporate business process modeling, master data modeling, master metadata management, and data governance, the authors properly frame the necessary ideas for organizational preparation while still providing deep technical detail about both architecture and algorithms. This book is a definite addition to the MDM body of knowledge.” –David Loshin, President, Knowledge Integrity Incorporated

“Alex and Larry have done it again: published a very comprehensive, highly applicable book on MDM and Data Governance that achieves an excellent balance between thought-provoking academic treatment of some very technical subjects, and highly relevant, usable advice on how to achieve success in implementing a successful MDM and Data Governance program. This is a must-read for any program sponsor, CIO, CTO, enterprise architect, information architect, data steward, program manager or practitioner of MDM and Data Governance. This is not a read-and-forget book, but a great reference manual. –Martin Moseley, Chief Architect, CTO, Information Agenda Tiger Team, IBM Software Group

“This work is one of the most comprehensive, clear, well-researched, and insightful guidebooks on master data management and data governance. Larry and Alex did an exceptional job covering these complex topics from many viewpoints including technical, business, architectural, security, industry, social, international, product, and regulatory perspectives. I was so impressed at the level of detail and how much is in this book. The book covers critical principles, concepts, emerging trends, and misconceptions, based upon the author’s extensive experience and research and clarifies keys in creating successful MDM and data governance programs.” –Len Silverston, Best-selling author of The Data Model Resource Book, Volumes 1, 2, and 3

“Clearly, Alex Berson and Larry Dubov were hard at work tackling the tough topic of master data governance before the software vendor community had yet found religion (as the market now has `active’, `passive,’ and my favorite `passive-aggressive’ data governance flavors among the many marketing variations).” –Aaron Zornes, Chief Research Officer, The MDM Institute, San Francisco

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Produktdetaljer

ISBN
9780071744584
Publisert
2011-01-16
Utgave
2. utgave
Utgiver
Vendor
Osborne/McGraw-Hill
Vekt
1046 gr
Høyde
239 mm
Bredde
196 mm
Dybde
32 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
536

Biografisk notat

Alex Berson is a Director of Technology for a global management consulting firm. Dr. Berson holds a Ph.D. in Computer Sciences and M.S. in Applied Mathematics, and is an internationally recognized expert, author, educator and practitioner who has over 20 years of experience in information technologies focusing on data warehouse systems architecture, including design and implementation of systems and applications in the areas of data management, data warehousing and data mining; transaction processing; middleware, client/server distributed computing; and object technologies. Alex Berson is an active member of IEEE Computer Society, ACM, and many others. He’s also an advisory editor for the McGraw-Hill Professional Books division. He has published numerous technical articles in trade magazines, and is a best-selling author of a number of professional books including 'Data Warehousing, Data Mining and OLAP'(with Steve Smith); “Client/Server Architecture”; “SYBASE and Client/Server Computing”(with George Anderson); and “APPC: Introduction to LU6.2”. These books are published internationally, and had been translated in many languages including Chinese and Korean. His latest book, “Building Data Mining Applications for CRM”, is scheduled to be published in December 1999. Larry Dubov is a recognized expert in implementation of complex business driven technology solutions for Financial Services, Banking and Pharmaceutical verticals with the primary focus on Customer Data Integration (CDI), Master Data Management (MDM), Customer Relationship Management (CRM), Datawarehousing and Operational Data Stores.