Whitepaper : Mastering Data Modeling for Master Data Domains

  • Reconcile conflicting structure and semantics
  • Define unique master data domains
  • Reduce the risk of duplication and inconsistency

Author: David Loshin

Increasing dependence on enterprise-class applications has created a demand for centralizing organizational data using techniques such as Master Data Management (MDM). The development of a useful MDM environment is often complicated by a lack of shared organizational information and data modeling. In this paper, David Loshin explores some of the root causes that have influenced an organization’s development of a variety of data models, how that organic development has introduced potential inconsistency in structure and semantics, and how those inconsistencies complicate master data integration.

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See Also:

Topics : Data Governance,Data Modeling,Enterprise Architecture,Metadata,

Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,

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