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 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.
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Great BookUser Review - John Mills - Borders
Very clear and easy to read. Provides a clear gounding into MDM, the reasons enterprises initiate an MDM project and the different ways in which to do so. Read full review
MDM Components and the Maturity Model
Data Governance for Master Data Management
Data Quality and MDM
6 Metadata Management for MDM
Identifying Master Metadata and Master Data
analysis analytical application data approach architecture aspects assessment associated business applications business policies business process model business rules business terms Chapter components consistency critical data elements Customer Data Integration data attributes data consolidation data governance data instances data integration data life cycle data profiling data sets data sources data stewards data values David Loshin defined definitions determine documented ensure enterprise data evaluate example existing framework functionality identifying attributes identifying information identity management identity resolution implementation information architecture information policies initial issues master data asset master data environment master data management master data model master data objects master data services master environment master metadata master object master record master repository matching MDM environment MDM program ment metadata management metadata repository migration monitoring operational organization organization’s organizational oversight registry representation semantics service layer shared specific stakeholders standard structure synchronization tion transaction underlying unique value domains