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Mastering Master Data
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![]() Malcolm Chisholm
President
AskGet.com Inc
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March 5, 2007
8:30 AM - 4:45 PM
Level: Intermediate
Master data is a distinct class of data that must
be managed well for data sharing, or exchange, to be successful within
an enterprise. Failure to do so leads to well-known data quality problems
that may severely limit data warehouses and linked transaction systems.
This is because master data has its own unique properties and behaviors
that require specific management techniques to be applied to it. General
data management approaches are simply insufficient. This tutorial explains
how to manage master data with the goal of making it an enterprise-wide
data resource. Specific issues in master data management (MDM) are described
along with techniques to solve them. Particular attention is paid to
the metadata required to manage master data, the relationship between
master data and data quality, and the strong link between data governance
and master data. MDM is dealt with from the strategic level, e.g. building
a business case, down to the technical level, e.g. data models that
extend master data to include management metadata.
Participants will learn about:
Malcolm Chisholm is an independent consultant focusing on
metadata engineering and data management. He has over 25 years of experience
in IT, and has worked in a variety of sectors, including finance, government,
manufacturing, and insurance. Malcolm is the author of How to Build
a Business Rules Engine and Managing Reference Data in Enterprise Databases
and frequently writes and speaks on these topics. He runs two Web sites
http://www.bizrulesengine.com and http://www.refdataportal.com.
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