MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

"Master Data Management and Data Governance" explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework. The book consists of five major parts:
Part I introduces the set of the business problems and tactical and strategic challenges associated with MDM transformations and provides examples and guidance on industry-specific approaches to solutions.
Part II looks at the processes and technologies of designing and implementing solutions.
Part III examines MDM from the regulatory compliance, privacy, and security viewpoints.
Part IV discusses implementation issues including the scope and complexity of the testing and field deployment strategy. It also provides an overview of the marketplace, leading vendors, including IBM and Oracle, and their products and strategic directions.
Part V offers a high-level analysis of key strategic and tactical approaches of delivering an enterprise-wide holistic business and technology initiative.

"Master Data Management and Data Governance" covers: Major MDM data domains and MDM applications by industry Evolution of MDM architecture Data modeling and management concerns of MDM architecture Architecting for entity and relationships resolution Analytical and operational MDM

Full details on MDM
Introduction to Master Data Management and Customer Data Integration; MDM: Overview of Market Drivers and Key Challenges; MDM Applications by Industry; Architectural Considerations; MDM Architecture Classification, Concepts, Principles and Components; Data Management Concerns of MDM Architecture: Entities, Hierarchies and Metadata; MDM Services for Entity and Relationships Resolution and Hierarchy Management; Master Data Modeling; Data Security, Privacy and Regulatory Compliance; Overview of Risk Management for Master Data; Introduction to Information Security and Identity Management; Protecting Content for Secure Master Data Management; Enterprise Security and Data Visibility in Master Data; Implementing and Governing Master Data Management; Building Business Case and Defining Data Governance Framework for MDM; Project Initiation; Identification, Matching, Aggregation and Holistic View of the Master Objects; Beyond Party Match: Merge, Split, Groups and Relationships; Data Synchronization and Integration Styles; Data Governance: Frameworks, Information Quality Processes and Metrics; Additional Implementation Considerations; Master Data Management: Market, Trends and Directions; MDM Roadmap; Regulations and Compliance Rules Impacting Master Data Management Projects