January 28, 2006

Effective Data Management

Data is the lifeblood of any organization. But to serve a useful purpose, it has to be accurate, consistent and properly managed. A good strategy to manage your data quality will help in optimizing profitability and costs. Effective data management should encompass data profiling, data quality, data integration, data augmentation, and data monitoring. The data should be scanned for errors, discrepancies and duplication, which should then be corrected and rectified. Data from various sources should be integrated and then enhanced. The data thus gathered and merged should be monitored from time to time to prevent inconsistencies and redundancies from creeping in.

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January 28, 2006 in Data Quality | Permalink




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