Data Engineering, Data Quality, Data Governance, Data, Analytics.
committed to an SLA Considerations when measuring quality We recommend setting guidelines around measuring data quality, so everyone approaches it coherently. While these can depend on your business circumstances, we’ve found these guiding principles to work well. Metrics — measure both coverage