WHITE PAPER: Posted: 09 Apr 2008 | Published: 01 Dec 2007
SUMMARY:
Companies have difficulty keeping data consistent, synchronized and in a high quality state. Learn what data governance is, why it is needed and the key elements of an effective data governance solution.
SUMMARY:
Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.
WHITE PAPER: Posted: 20 Mar 2008 | Published: 01 Mar 2008
SUMMARY:
Data quality is more than just data cleansing or address correction and it involves defining data expectations along defined dimensions that lead to quantifiable measurements for reviewing and assessing conformance to business information needs.
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: 18 Sep 2007 | Published: 01 Jan 2006
SUMMARY:
Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da...
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.
WHITE PAPER: Posted: 04 Apr 2007 | Published: 06 Jun 2006
SUMMARY:
This white paper explores a five-phase methodology to analyze, improve and control corporate data. Learn how to improve decision-making and gain competitive edge with five essential factors that encompass the building blocks of data quality integration.
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