Master Data Management
- 4h 47m
- David Loshin
- Elsevier Science and Technology Books, Inc.
- 2009
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 MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness.
- Presents a comprehensive roadmap that you can adapt to any MDM project.
- Emphasizes the critical goal of maintaining and improving data quality.
- Provides guidelines for determining which data to "master."
- Examines special issues relating to master data metadata.
- Considers a range of MDM architectural styles.
- Covers the synchronization of master data across the application infrastructure.
About the Author
David Loshin, is the president and Chief Technology Officer of Knowledge Integrity, holds a M.S. degree in Computer Science from Cornell University, and is the author of two books: High Performance Computing Demystified, AP Professional, 1994, and Efficient Memory Programming, McGraw-Hill, 1998.
In this Book
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Master Data and Master Data Management
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Coordination: Stakeholders, Requirements, and Planning
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MDM Components and the Maturity Model
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Data Governance for Master Data Management
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Data Quality and MDM
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Metadata Management for MDM
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Identifying Master Metadata and Master Data
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Data Modeling for MDM
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MDM Paradigms and Architectures
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Data Consolidation and Integration
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Master Data Synchronization
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MDM and the Functional Services Layer
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Management Guidance for MDM
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Bibliography and Suggested Reading
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