Analysis Views

Analysis Views organize cross-object and cross-table analytical definitions into reusable dimensions and measures. They suit stable cross-sectional analysis, letting positions query and explain results using a consistent structure.

Understand this capability

Each Analysis View has four elements:

Element	Description	Limit
Physical table	The underlying data table, typically a preaggregated wide table	One table
Dimensions	Fields for slicing, grouping, and filtering, such as region, month, product line, or department	Up to 40
Measures	Numeric fields for calculations, such as amount, quantity, ratio, or work hours	Up to 200
Analysis View description	An LLM Description explaining the view's purpose and use cases	Required

For analytical questions, a position scans descriptions of all authorized Analysis Views. When it finds a match, it queries the view's dimensions and measures directly, avoiding live Object Graph joins.

Continue based on your goal

Create and Use Analysis Views

Configure physical sources, dimensions, measures, and relationships.

Choose Analysis Scenarios

Assess whether sales overviews, workforce productivity reviews, or customer health analysis should become reusable views.