Data Leaders
For heads of data, analytics managers, and anyone driving data governance and consistency across teams.
Try These First
Open the agent and ask:
What metrics are defined in our semantic layer?
Show me notebook and query activity across the workspace
Which tables are most frequently queried?
Your Focus Areas
Standardize definitions
The semantic layer lets you define metrics once and use them everywhere:
measures:
- name: arr
type: sum
sql: mrr * 12
description: "Annual recurring revenue"
When the agent uses these definitions, everyone gets consistent answers.
Review team work
Use notebooks to:
- See how analyses are built (the canvas shows dependencies visually)
- Verify calculations trace back to source data
- Comment and collaborate on shared analyses
Scale self-serve
Instead of fielding ad-hoc requests:
- Build a semantic layer with approved metrics
- Let team members ask the agent questions
- The agent uses your definitions for accurate answers
Key Tables for Governance
| Table | Use it for |
|---|---|
accounts | Customer segmentation definitions |
revenue | MRR/ARR calculation standards |
events | Event taxonomy validation |
Common Questions
Ask the agent:
- "Show me all measures defined for the accounts table"
- "How is churn rate calculated in our semantic layer?"
- "What dimensions can I use to slice ARR?"