Master Data Management
The MK/OMG Press Series

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.

Chapter 1) Introduction: Master Data and Master Data ManagementChapter 2) Business Process Models, Stakeholders, and Participant CoordinationChapter 3) MDM Maturity and the Implementation RoadmapChapter 4) Enterprise Data GovernanceChapter 5) The Value of Data QualityChapter 6) Data Standards and Metadata ManagementChapter 7) Identifying Master Data Chapter 8) Data Modeling Issues for MDMChapter 9) MDM Paradigms and ArchitecturesChapter 10) Data Consolidation and IntegrationChapter 11) Master Data Synchronization – Chapter 12) The Functional Application Services LayerChapter 13) Management Guidelines and Summary

Data/Information analysts, information and enterprise architects, and data warehouse and systems engineers, and their managers, mostly in Information Technology, plus consultants who do this work for new projects or mergers.

David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.