Screen LibraryMulti-domain master data management : advanced MDM and data governance in practice /
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Written in a business friendly style with sufficient program planning guidance, this...
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| Main Authors: | |
|---|---|
| Corporate Authors: | |
| Group Author: | |
| Published: |
Morgan Kaufmann,
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| Publisher Address: | Waltham, MA : |
| Publication Dates: | 2015. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780128008355 |
| Summary: |
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. |
| Item Description: | Includes index. |
| Carrier Form: | 1 online resource |
| ISBN: |
9780128011478 0128011475 0128008350 9780128008355 |
| Index Number: | HF5548 |
| CLC: | TP309 |
| Contents: |
Front Cover; Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice; Copyright; Dedication; Endorsements; Contents; Acknowledgments; About the Authors; Preface; Part I: Planning Your Multi-domain Initiative; Part II: Implementing the Multi-domain Model; Part III: Sustainability and Improvement; Part I: Planning Your Multi-DomainInitiative; Chapter 1: Strategy, Scope, and Approach; Defining Multi-domain MDM; Multi-domain MDM Strategy and Approach; How and Where to Start?; Top-Down Approach; Middle-Out Approach; Bottom-Up Approach; Top-Down and Middle-Out Approach Multi-domain MDM ScopeData Governance; Data Stewardship; Data Quality Management; Data Integration and Synchronization; Metadata Management; Entity Resolution; Reference Data Management; Create-Read-Update-Delete (CRUD) Management; Data Security; Data Architecture; Conclusion; Chapter 2: Def ining and Prioritizing Master Data; Identifying Domains; Identifying Master Data; Identifying Sources of Master Data; Determining the Master Data Elements; Defining the Most Critical Data Elements; Business Definition Conflicts; Prioritizing Domains; Conclusion Chapter 3: Architecture and Technology ConsiderationsMulti-domain MDM Technological Background; MDM Architectures and Styles; Registry-Style MDM; Transaction- or Persistent-Style MDM; Hybrid-Style MDM; Multi-domain MDM Technical Implementation Considerations; Data Model; Data Integration; Entity Resolution; Data Synchronization or Propagation; Technical Considerations to Other Major Functions; What About Big Data?; Conclusion; Chapter 4: Program Management Office Implementation; Business and IT Alignment Considerations; Building Cross-Functional Alignment Coordination of MDM Roles and ResponsibilitiesHandling Organization Change; Change Impacts; PMO Tools and Processes; Program Communication; Program Value; Issue Management and Resolution; Reporting the Problem; Assigning and Escalating the Problem; Tracking and Closing the Problem; Conclusion; Chapter 5: Defining a Cross-Domain Maturity Model; Maturity States; How and Where Can Maturity Be Measured?; Data Governance Maturity; Data Stewardship Maturity; Data Integration Maturity; Data Quality Maturity; Metadata Management Maturity; Domain Maturity Measurement Views; Conclusion Part II: Implementing theMulti-Domain ModelChapter 6: Establishing Multi-Domain Data Governance; The Data Governance Role and Relationship with MDM; Domain Jurisdiction and Line of Business (LOB) Representation; Federated Data Governance; Data Governance Team Resources; Bench Strength; Define Policies and Rules; Quality Standards and Priorities; Data management policies and standards have been defined and implemented; Measurements and dashboards are in place to measure and monitor master data quality and control; Issue Resolution; Enterprise Communication; Conclusion |