Data quality metrics are instrumental in gauging the overall health of an enterprise. Poor data quality impacts revenue, resources, morale, productivity, compliance, customer retention and bottom line. Evaluating data quality and moving to a proactive capability requires thoughtful data quality metrics. Improving data fitness requires using short, repeatable processes and the right set of metrics to measure progress.
