PODCAST: Posted: 26 Jun 2008 | Premiered: 26 Jun 2008, 09:00 EDT (13:00 GMT)
SUMMARY:
In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment.
WHITE PAPER: Posted: 12 Jun 2008 | Published: 03 Oct 2007
SUMMARY:
There is a unified relationship between master data management and service-oriented architecture. Read this paper for an overview of this relationship and learn how to effectively create a strategy that encompasses both of these initiatives.
WHITE PAPER: Posted: 09 Apr 2008 | Published: 01 Dec 2007
SUMMARY:
This paper discusses enterprise data governance, which is based on common processes for continuous data quality and improvement, an enterprise data management technology platform.
SUMMARY:
Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.
SERVICE LISTING: Posted: 28 Mar 2008 | Published: 01 Mar 2008
SUMMARY:
Data corruption can occur due to a number of reasons, including integrating non-conforming, flawed data or erroneous data. Learn about the most common reasons that contribute to poor data quality and how to alleviate them.
WHITE PAPER: Posted: 20 Feb 2008 | Published: 01 Jan 2007
SUMMARY:
Learn how faceted analytical displays can lead to insight that would be difficult to unearth otherwise. Faceted analytical displays are powerful and will help you discover new information that will translate into big benefits for your company.
WHITE PAPER: Posted: 21 Jan 2008 | Published: 01 Jan 2007
SUMMARY:
This paper describes an easily implemented, nondisruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse.
WHITE PAPER: Posted: 19 Jul 2007 | Published: 01 Jan 2006
SUMMARY:
Data migration is a critical component of an SAP implementation. Learn how to address the five most common data migration challenges associated with SAP implementations and upgrades.
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