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

  • 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