The value of Data Quality Management (DQM) lies in its automated, ongoing monitoring and management of your data’s quality. Unlike one-time cleaning events, this solution enables you to assess, improve, and maintain the quality of your data over time. In addition to correcting common data issues and minimizing the risk of bad data in your environment, this combination of technology and methodology provides key advantages to your business:
- automated, repeatable processes to attain and preserve a high degree of data quality
- increased confidence in data quality, reducing the time spent validating data
- consistency of data across heterogeneous application environments
- fit-for-purpose data—the right data is everywhere it is needed
- quantifiable metrics that show data quality improvements over time.
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