Knowledge & Data · Software component

Data Value Anomaly Detector

Software componentKnowledge & DataKnowledge & Dataarc:DataValueAnomalyDetector

A statistical consistency checker that flags field values deviating significantly from historical ranges or violating known numeric constraints as potential factual errors.

Responsibility. Flags statistically anomalous data values that suggest inaccuracy.

Also known as: Statistical consistency check, Sanity checker

Direct neighbourhood (hover for relationship types)

Relationships

is invoked by dependency

Data Quality Validator Ch6.4

Design guidance

MAY be used as a heuristic accuracy check; it catches obvious errors but misses subtle inaccuracies.

Classification

Patterns: Historical-range deviation detectionSanity checks
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Incorrect prices or statisticsUnit mismatches and typos

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.