Semantic Reliability
Semantic reliability concerns whether analytical meaning is preserved in models, metrics, and relationships as data and business logic evolve.
Common Semantic Failures
- Metric definition drift
- Relationship or join path changes
- Filter context and aggregation surprises
- Intent mismatch between questions and measures
Why Dashboards Still Look Healthy
Semantic failures rarely break refresh or execution. Dashboards update successfully while returning results that differ subtly—but materially—from intended meaning.
How This Relates to Analytical Reliability
Semantic reliability explains failures that occur after data arrives correctly but before decisions are made. It is a core domain of analytical reliability.