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Data Profiling

Data profiling typically provides profiling capabilities that are set in an application specifically designed to put control of data quality processes in the hands of business information owners, such as data analysts and data stewards. The solution also provides data analysis, reporting, and monitoring capabilities.

When data quality is measured, it can be effectively managed. Data profiling provides the metrics and reports that business information owners need to continuously measure, monitor, track, and improve data quality at multiple points across the organization. Data profiling also enables business information owners and IT (information technology) to work together to deploy lasting data quality programs. Business information owners use data profiling to build data quality rules and define data quality targets together with the IT team, which then manages deployment enterprise-wide.

You can use data profiling to:

• Analyze and rank data according to completeness, conformity, consistency, duplication, integrity, and accuracy (you must use rules and reference data to analyze and rank data).
• Identify, categorize, and quantify low-quality data

For more information about data profiling and Oracle data profiling offerings, see Oracle Fusion Middleware Upgrade Guide for Oracle Data Integrator 11g Release 1 on Oracle Technology Network (http://www.oracle.com/technetwork/indexes/documentation/index.html).