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