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Data Quality by the Numbers: Best Practices for Managing Business Data

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Business data covers everything from product data to operational data to VIN numbers to complex biological data. Most data quality technologies support accurate customer data, but have limited capabilities for supporting business data. Few solutions, for example, can analyze business data and generate rules that can enforce organizational standards on the data. Furthermore, business data can be extraordinarily complex, which requires a different approach than is generally used for name-and-address data.

Learn about the importance, impact, and challenges of business data, and more importantly, the ways that data quality technology can support even the most extreme kinds of business data. Find out how some data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data.

Author

Robert Lerner Senior Analyst, Heavy Reading
Vendor:
DataFlux Corporation
Posted:
04 Apr 2007
Published
22 Jun 2006
Format:
PDF
Length:
10 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.