Master Data Management

Supporting Your Data Management Strategy with a Phased Approach to Master Data Management

Provided by SAS

Category Master Data Management

Type White Paper

Length 14

Publish Date January 07 2014

Date posted April 11 2016


As master data management (MDM) tools and techniques continue to mature, many organizations that embark on their MDM journey find that the typical approach focusing on data consolidation creates barriers to acceptance and integration. However, those same companies often attempt to reboot their master data program in the same way by promoting the benefits of a “golden record” providing a “single source of truth.” As a result, they front-load their efforts to extract, integrate and consolidate data. But as organizations recognize that the resulting consolidated sets of records have inherent inconsistencies and are difficult to incorporate into user applications, the concept of a single “master” repository appears to be somewhat flawed.

In this paper, we examine how this approach can influence a phased organizational plan for fully embracing master data management. This plan incorporates five key fundamental techniques to enable master data management success, including:
• Business data consumer engagement.
• Data governance.
• Collaborative semantic metadata management.
• Data quality management.
• Identity resolution and management.

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