Book description
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
Table of contents
- Cover Page
- Master Data Management and Data Governance
- Copyright Page
- Contents
- Forewords
- Acknowledgments
- Introduction
-
Part I Introduction to Master Data Management
- 1 Overview of Master Data Management
-
2 MDM: Overview of Market Drivers and Key Challenges
- Market Growth and Adoption of MDM
-
Business and Operational Drivers of MDM
- Improving Customer Experience
- Improving Customer Retention and Reducing Attrition Rates
- Growing Revenue by Leveraging Customer Relationships
- Improving Customer Service Time:Just-in-Time Information Availability
- Improving Marketing Effectiveness
- Reducing Administrative Process Costs and Inefficiencies
- Reducing Information Technology Maintenance Costs
-
MDM Challenges
- Senior Management Commitment and Value Proposition
- Customer Centricity and a 360-Degree View of a Customer
- Challenges of Selling MDM Inside the Enterprise
- Socializing MDM as a Multidimensional Challenge
- Technical Challenges of MDM
- Implementation Costs and Time-to-Market Concerns
- Data Quality, Data Synchronization, and Integration Challenges
- Data Visibility, Security, and Regulatory Compliance
- Challenges of Global MDM Implementations
- References
- 3 MDM Applications by Industry
-
Part II Architectural Considerations
- 4 MDM Architecture Classifications, Concepts, Principles, and Components
- 5 Data Management Concerns of MDM Architecture: Entities, Hierarchies, and Metadata
- 6 MDM Services for Entity and Relationships Resolution and Hierarchy Management
- 7 Master Data Modeling
-
Part III Data Security, Privacy, and Regulatory Compliance
- 8 Overview of Risk Management for Master Data
- 9 Introduction to Information Security and Identity Management
- 10 Protecting Content for Secure Master Data Management
- 11 Enterprise Security and Data Visibility in Master Data Management Environments
-
Part IV Implementing and Governing Master Data Management
- 12 Building a Business Case and Roadmap for MDM
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13 Project Initiation
- Implementation Begins
-
Scope Definition
- Business Processes
- Lines of Business and Functions
- Customer Touch Points, Product Types, and Account Types
- Levels of Aggregation and Relationship Types
- Entities and Attributes
- Systems and Applications in Scope
- MDM Data Hub Solution Architecture
- Data Hub Architecture Styles
- Phased Implementation of Customer Data Hub
- Artifacts That Should Be Produced in the Project Initiation Phase
- Project Work Streams
- References
-
14 Entity Resolution: Identification, Matching, Aggregation, and Holistic View of the Master Objects
- Holistic Entity View and a 360-Degree View of a Customer: Frequently Used Terms and Definitions
- Attributes and Attribute Categories Commonly Used for Matching and Identification
- Record Qualification Attributes
- Customer Identification, Matching Process, and Models
- Summary of Data-Matching Requirements and Solutions
- References
- 15 Beyond Party Match: Merge, Split, Party Groups, and Relationships
- 16 Data Synchronization, MDM System Testing, and Other Implementation Concerns
- 17 Master Data Governance
- Part V Master Data Management: Markets, Trends, and Directions
- Part VI Appendixes
- Index
Product information
- Title: MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E, 2nd Edition
- Author(s):
- Release date: December 2010
- Publisher(s): McGraw-Hill
- ISBN: 9780071744591
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