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Master data management /
The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about M...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; Boston :
Elsevier/Morgan Kaufmann,
©2009.
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| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Table of Contents:
- Chapter 1) Introduction: Master Data and Master Data Management
- Chapter 2) Business Process Models, Stakeholders, and Participant Coordination
- Chapter 3) MDM Maturity and the Implementation Roadmap
- Chapter 4) Enterprise Data Governance
- Chapter 5) The Value of Data Quality
- Chapter 6) Data Standards and Metadata Management
- Chapter 7) Identifying Master Data
- Chapter 8) Data Modeling Issues for MDM
- Chapter 9) MDM Paradigms and Architectures
- Chapter 10) Data Consolidation and Integration
- Chapter 11) Master Data Synchronization
- Chapter 12) The Functional Application Services Layer
- Chapter 13) Management Guidelines and Summary.
- Master data and master data management
- Coordination, stakeholders, requirements, and planning
- Components and the maturity model
- Data governance for master data management
- Data quality and MDM
- Metadata management for MDM
- Identifying master metadata and master data
- Data modeling for MDM
- Paradigms and architectures
- Data consolidation and integration
- Master data synchronization
- And the functional services layer
- Management guidance for MDM.