Analytics (Usage Analytics)
Analytics is an embedded instance of Omni, in Omni. It gives organization administrators insight into how Omni is being used across their instance.
Access & Permissions
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URL: Navigate to https://myorg.omniapp.co/analytics (replace with your instance URL).
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In-App Navigation: Access via the Omni main menu → Analytics.
Only Organization Admin can access Analytics.
Pre-built Dashboards
Analytics comes with several ready-to-use dashboards, built on curated “Production Topics” modeled from system activity. These dashboards are continuously updated as new data becomes available.
| Dashboard | Description |
|---|---|
| Overview | A high-level summary of user activity |
| Users | Tracks user logins, frequency of activity, and engagement across Omni. |
| Content | Shows workbook and dashboard usage. |
| Model | Surfaces model-level performance metrics — query execution times, join complexity, and usage frequency. |
| Schedules | Monitors scheduled deliveries, their success/failure rates, and destination types. |
| AI | Displays detailed logs of AI interactions, including prompts, responses, and linked sessions. |
| Changelog | Lists key product feature changes. |
| Features | Lists available experimental and beta features. |
Ad-hoc Analysis
Beyond the pre-built dashboards, admins can explore or build their own analyses using the same modeled datasets.
Sharing
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Content built in Analytics will remain separate from content in your Omni instance.
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Sharing with Other Admins: Dashboards can be shared directly with other admin users. Note: The recipient must first open Analytics once to appear as a shareable user.
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Sharing with Non-Admins: You can schedule deliveries to email recipients, but non-admins cannot directly log into the Analytics workspace. Note: Slack is not supported as a destination for Analytics deliveries.
Deliveries
- You can automate distribution of insights to your team via scheduled deliveries, including threshold-based alerts.
Data Freshness
- Analytics may reflect activity with a delay of up to a few hours compared to live usage.