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Semantics, Metadata and Identifying Master Data

Cover
One of the most challenging aspects of a master data management (MDM) is defining what actually constitutes master data. Read this paper to learn about methods for leveraging metadata in your MDM initiative and how a semantic approach can yield better results throughout the program.

This paper discusses the three levels of integration needed to implement an enterprise-wide integration and how your organization can overcome the corresponding challenges facing MDM. Learn more about ensuring and effective MDM strategy and implementation in your organization, including:
  • How to determine what constitutes master data
  • The fundamentals of analyzing syntax similarity, structure and semantics in master data
  • How to facilitate an enterprise-wide integration of an MDM strategy
  • Keys to locating and understanding relationships between data elements

Author

David Loshin BeyeNETWORK expert and President of Knowledge Integrity, Inc

David is the president of knowledge integrity, inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of master data management, enterprise knowledge management – the data quality approach and business intelligence – the savvy manager's guide and is a frequent speaker on maximizing the value of information. 

Vendor:
DataFlux Corporation
Posted:
04 Jan 2007
Published
01 Nov 2006
Format:
PDF
Length:
8 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.