Six Steps to Managing Data Quality with SQL Server Integration Services

Originally published 20 April 2009

Setting in place a process to fix data quality issues is important for the success of MDM and involves six key tasks: profiling, cleansing, parsing/standardization, matching, enrichment and monitoring. The end result is a process that delivers clean, consistent data that can be distributed and confidently used across the enterprise, regardless of business application and system.

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