What Are the Most Effective Data Quality Metrics to Measure Accuracy and Consistency?

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Hey! Data quality metrics can definitely feel overwhelming, but once you break it down, it’s not so bad. For accuracy, I usually rely on error rates and outlier detection. For consistency, I look at how often data points align across different sources.

One tool I’d recommend is Apache Griffin. It’s open-source and great for defining and monitoring data quality metrics. Also, check out Dataiku if you’re into more visual workflows.

Hope this gives you a starting point!

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