[QA.DT.4] Detect and mitigate data issues with anomaly detection

Category: OPTIONAL

Data anomaly detection is a specialized form of anomaly detection which focuses on identifying unusual patterns or behaviors in data quality metrics that may indicate data quality issues.

Consider integrating machine learning algorithms and statistical methods into your data quality monitoring processes. Use tools that can detect and address data anomalies in real-time and incorporate them into your development and deployment workflows. This enables automated assessment of the accuracy and reliability of data processing and analysis, enhancing the overall performance of your applications and systems.

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