Data Quality Monitoring

What Does Data Quality Monitoring Mean?

Data quality monitoring is a process that monitors and ensures data quality on each data instance created, utilized and maintained within an organization.

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It is an enterprise quality monitoring process that routinely monitors, maintains and ensures the data quality standards across the data management system within an enterprise.

Techopedia Explains Data Quality Monitoring

Data quality monitoring is usually performed through automated data quality, data management or monitoring systems. Typically, each organization sets its own data quality metrics and key performance indicators (KPIs). The data quality monitoring process measures these metrics and KPI, and evaluates it against configured data quality criterion. The data quality monitoring process is usually coupled with a manual or automated reporting process where data quality performance reports are generated within an information system. Most data quality monitoring systems have the ability to alert and notify data administrators for data quality events such as not meeting quality thresholds.

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Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.