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DataMentors Adds International Address Validation
QuickAddress for FSBA Enhances Customer Communication
HP Extends Quality and Management Software
Informatica To Acquire Identity Systems
Pitney Bowes Group 1 Releases New Version of Data Quality Platform
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Data Warehousing Ensuring Data Integrity
Making Data Work: Addressing Data Quality at the Enterprise Level
Can your SharePoint Backup Harm Your Business?
The Value Behind Integrity
Building Profitable Customer Relationships and Personalized Retention Strategies
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Corporate Information Factory, 2nd Edition
The Data Warehouse Challenge: Taming Data Chaos
Data Quality for the Information Age
Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits
Metadata Management for Information Control and Business Success
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Data Warehousing, Next Generation Business Intelligence and the Evolution of Data Quality
Business intelligence (BI) is only as good as the data that supports it. But real-world experience is showing that existing data quality tools and data warehouses can’t support evolving BI requirements. In an new whitepaper, David Loshin explains how embedding data quality services directly into applications can help meet key challenges involving: unstructured data, globalization, the explosion of raw data and the need for realtime synchronization between data sources.For more information on related topics, visit the following channels:
