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Data Quality sponsored by Pitney Bowes Group 1 Software
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Most Popular Data Quality Reports |
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sponsored by Business Objects
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sponsored by CA
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sponsored by Talend
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Reports on Data Quality published by Pitney Bowes Group 1 Software | |
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9 Matches |
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WHITE PAPER: Posted: 16 Sep 2008 | Published: 16 Sep 2008
This document first establishes what master data and Master Data Management (MDM) mean and then discusses the nontechnical organizational and operational challenges associated with introducing an MDM program.
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WHITE PAPER: Posted: 01 Jul 2008 | Published: 01 Jul 2008
This white paper reviews the five best practices that help global communications business meet and exceed customer expectations at every step of the way--including the critical online billing experience.
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WHITE PAPER: Posted: 13 May 2008 | Published: 01 May 2008
In this white paper, learn how to implement and enforce enterprise-wide Master Data Management solutions.
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WHITE PAPER: Posted: 09 May 2008 | Published: 01 Jan 2007
Data Profiling delivers a deeper and broader insight in a fraction of the time required by traditional approaches to data analysis.
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WHITE PAPER: Posted: 07 Apr 2008 | Published: 01 Apr 2008
Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.
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PODCAST: Posted: 14 Mar 2008 | Premiered: 13 Mar 2008, 09:00 EDT (13:00 GMT)
This Podcast addresses some of the necessary details to successfully formulate an operational data quality plan.
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WEBCAST: Posted: 13 Mar 2008 | Premiered: Available On Demand
In this expert Webcast with Dave Loshin, president of Knowledge Integrity, learn how to assess the value of operational data quality and make data quality an enterprise-wide capability.
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CASE STUDY: Posted: 18 Sep 2007 | Published: 01 Oct 2004
Group 1 Software presents a case study in enterprise data quality success featuring the DaimlerChrysler Corporation, a leader in the automotive manufacturing industry.
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WHITE PAPER: Posted: 18 Sep 2007 | Published: 01 Jan 2006
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...
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