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Trusted Data in IBM's Master Data Management

Authors:
Przemyslaw Pawluk
Jarek Gryz
Stephanie Hazlewood
Paul van Run

Keywords: Master Data Management; Data Integration; Data Quality; Data Trust

Abstract:
A good business data model has little value if it lacks accurate, up-to-date customer data. This paper describes how data quality measures are processed and maintained in IBM InfoSphere MDM Server and IBM InfoSphere Information Server. It also introduces a notion of trust, which extends the concept of data quality and allows businesses to consider additional factors, that can influence the decision making process. The solutions presented here utilize existing tools provided by IBM in an innovative way and provide new data structures and algorithms for calculating scores for persistent and transient quality and trust factors.

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2011

Publication date: January 23, 2011

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-115-1

Location: St. Maarten, The Netherlands Antilles

Dates: from January 23, 2011 to January 28, 2011