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Data Management sponsored by Business Objects
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These are reports on Data Management published by Business Objects. The links under MORE GENERAL and SUBCATEGORIES take you to all published reports on that topic. |  |
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BusinessObjects Universal Data Cleanse (UDC)
 
PRODUCT LITERATURE: Posted: December 26, 2007 | Published: December 1, 2007
BusinessObjects™ Universal Data Cleanse (UDC) provides the most complete data quality approach, allowing you to see all of your data in the same light.
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Ensure Product Data Quality with Advanced Data Cleansing
WEBCAST: Posted: December 26, 2007 | When: August 16, 2007
Organizations dealing with product or operational data encounter anomalies not even imagined by those processing customer data. View this recording to learn how to increase operational performance through improved product data quality and reliability.
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Key Findings for Successful Data Migration
WEBCAST: Posted: January 29, 2008 | When: January 1, 2008
In this presentation, Philip Howard from Bloor Research will discuss his research findings as well as the steps that need to be taken in order to best ensure successful data migration projects.
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Take Sales to the Next Level with Information OnDemand
WHITE PAPER: Posted: May 20, 2008 | Published: May 1, 2008
Read this white paper to learn how to gain a better understanding of sales opportunities and make faster, better-informed decisions on how to respond to new market opportunities.
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The Business Value of Business Intelligence
WHITE PAPER: Posted: September 5, 2007 | Published: January 1, 2004
Business intelligence (BI) is the key to leveraging the wealth of data that accumulates in an enterprise. Learn how BI can help you lower costs, increase revenue, and improve customer satisfaction.
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Whitepaper: Developing a Universal Approach to Cleansing Customer and Product Data
WHITE PAPER: Posted: March 12, 2008 | Published: March 1, 2008
This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
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MORE GENERAL: 