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Customer Data Integration sponsored by Pitney Bowes Group 1 Software
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 |  |  | Techniques and Tools for Data Quality Management
Data quality is evolving to focus on providing the right data in the right format, at the right time to broad, global systems. Learn best practices for data quality management and how you can implement an enterprise data quality center of excellence.
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These are reports on Customer Data Integration published by Pitney Bowes Group 1 Software. The links under MORE GENERAL and SUBCATEGORIES take you to all published reports on that topic. |  |
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Data Quality Considerations in Master Data Management Structures

WHITE PAPER: Posted: May 13, 2008 | Published: May 1, 2008
In this white paper, learn how to implement and enforce enterprise-wide Master Data Management solutions.
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Communication Intelligence: Bringing Accuracy and Efficiency to Policy Production and Underwriting Automation

WHITE PAPER: Posted: April 25, 2008 | Published: April 1, 2008
Significant automation reforms are underway at
insurance carriers to make the underwriting process less error-prone and more productive,cost-effective and customer-responsive. This paper explores the new techonologies making all this possible.
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A Data Discussion Podcast: The authors of "MDM and CDI for a Global Enterprise", Discuss Trends, ROI and Costly Mistakes.

PODCAST: Posted: June 20, 2007 | Premiered: June 20, 2007
Listen to this Podcast to learn how to effectively implement master data management (MDM) and customer data integration (CDI) programs.
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