Hidden in plain sight: Why your data is lying to you

Why anomaly detection matters Every great detective knows that the most telling clues are often not obvious – the subtle irregularities, the patterns that don't quite fit. The same is true in the world of data quality. While traditional validation approaches diligently check the obvious rules (The data must be a number between 1 and 100), they often miss the more subtle mysteries that could…

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