Skip to main content
Version: Next

Hierarchies

The Hierarchies tab displays the data hierarchies automatically identified during semantic layer creation. Hierarchies define structured relationships within your data (e.g. Country → Region → City) and help the model understand how data dimensions relate to each other.

How Hierarchies Are Generated​

Hierarchies are generated automatically when you run Create Semantic Model or Update Semantic Model in the Operations tab. The system analyzes the connected data sources and identifies cross-dimensional relationships.

Managing Hierarchies​

Deactivating a Hierarchy​

If a generated hierarchy is incorrect or not relevant to your use case, you can deactivate it. Deactivated hierarchies are excluded from the model's semantic understanding.

Adding Hierarchies​

You can manually define additional hierarchies by linking attribute associations. This is useful for domain-specific relationships that the automatic analysis may not detect.

Locking Hierarchies​

Lock a hierarchy to protect it from being overwritten during future semantic layer updates.

Best Practices​

  • Review the automatically generated hierarchies after creating or updating the semantic layer.
  • Deactivate hierarchies that do not accurately represent your data.
  • Lock manually created hierarchies that are essential for correct analysis.
  • Do not deactivate hierarchies unless you have verified they are incorrect — removing valid hierarchies reduces analytical precision.