How do you create a data quality scorecard that is meaningful to both technical and business stakeholders? What metrics do you include, and how do you use it to drive continuous quality improvement?

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A data quality scorecard translates technical quality measurements into business-relevant scores that drive accountability and improvement. Done well, it makes data quality visible, measurable, and improvable. Done poorly, it becomes a meaningless dashboard that no one uses.