Master Data Management
- 4h 47m
- David Loshin
- Elsevier Science and Technology Books, Inc.
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
Master Data and Master Data Management
Coordination: Stakeholders, Requirements, and Planning
MDM 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
MDM Paradigms and Architectures
Data Consolidation and Integration
Master Data Synchronization
MDM and the Functional Services Layer
Management Guidance for MDM
Bibliography and Suggested Reading