Measuring the quality of data is the first step for data quality assurance initiatives, and exposing metrics is critical to justify, prioritize and ensure continuous improvement. Data and analytics leaders should establish a metrics-based approach to understand the quality and status of their data.
- Develop a Shared Definition of What Data Quality Means to the Organization
- Identify Key Data Quality Metrics Based on the Definition
- Ensure the Ongoing Measurement of Data Quality in Accordance With Defined Metrics
- Decide What Actions to Take and Address Data Quality Issues Specifically
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