WEBINAR: Model Confidence for Master Data May 14, 2015

Although master data management (MDM) systems have been deployed in numerous industries and organizations, the vision of creating an overall “single source of truth” is beginning to yield to a more pragmatic perspective of providing visibility to shared information about uniquely-identifiable entities within the enterprise. This more mature approach sheds light on some of the potential gaps associated with the typical out-of-the-box data models for customer or product.

In this webinar, David Loshin will address data modeling for MDM systems, and share insights about:

• Some of the complexities emerging from reliance on canned master data models
• Alternatives for revising how master data entities are viewed and consumed within the enterprise
• How a consumption-oriented engagement process will help the master data modeler devise thoughtful conceptual and logical representations of shared master data

He will also discuss how these different ways of looking at master data modeling will help reduce complexity for master data adoption, system interoperability, and legacy migration.

Register here