Every team that scales Power BI eventually hits the same wall: they need to extract Power BI usage data to answer who opens which reports, how often, and whether the dashboards people asked for are actually being used. The reflex is to reach for the Admin REST API or a PowerShell script, which puts the whole question behind a developer and a service principal. That is a real barrier for the analysts and BI leads who own adoption but do not write code, and it is the same friction that pushes teams to keep comparing BI platforms like Looker Studio and Power BI instead of getting value from the one they already run.
The good news is that Microsoft ships several ways to read this data straight from the interface, no code and no API calls required. Usage telemetry sits inside the Power BI service, the Fabric admin portal, and Microsoft Purview, waiting to be opened, filtered, and exported. Treating that telemetry as a first-class asset is part of any serious Power BI governance practice at scale, where knowing what is used matters as much as knowing who can see it.
This guide walks through the practical no-code paths to extract Power BI usage data: the built-in usage metrics report, the admin monitoring workspace, and the audit logs in Purview. Each one answers a different question and carries a different retention window, so the right choice depends on whether you care about one report, one tenant, or one specific user action, the same situational thinking that keeps a semantic and metrics layer honest across an organization.
Why extract Power BI usage data without the REST API?
The Admin REST API and its PowerShell wrappers are powerful, and they remain the right tool when you need scheduled, tenant-wide extraction into a warehouse. For a large share of everyday questions, though, they are overkill. A BI lead who wants to know if last quarter's finance dashboard earned its keep should not have to file a ticket with engineering, and that self-service instinct is the same one behind good Power BI performance tuning work, where the people closest to the report drive the improvement.
Usage data also feeds decisions with real money attached. Reports nobody opens still consume capacity, refresh cycles, and licenses, so adoption numbers are a direct input to right-sizing Power BI Premium against Fabric capacity. When you can see which content is dormant, you can retire it, and that visibility connects straight to optimizing Power BI and Microsoft Fabric licensing costs rather than paying for shelfware.
None of these methods is universally best, and the pick is always situational. A data and software consultancy works across several stacks and architectures, so the honest answer is to match the method to the question, the retention you need, and the access you actually have.
The built-in usage metrics report
The fastest way to extract Power BI usage data for a single artifact is the built-in usage metrics report. Open any report or dashboard in the service, select the More options menu, and choose to view usage metrics. Power BI generates a preconfigured report covering roughly the last 90 days and refreshes it daily, which is enough history to spot a trend without touching a line of code, and it slots neatly into how teams already think about dashboards that drive decisions. The mechanics are documented in the official Power BI usage metrics reference.
The default view is read-only, but you can copy it into a standard editable report and reshape it around your own questions. From there you can add filters, rebuild visuals, and blend the metrics with other context, the same modeling discipline you would apply when pulling many data sources into one clear view. Analysts who create content in a workspace also get the newer modern usage metrics experience, which surfaces who across the organization is opening a given report.
This method has a clear boundary: it reports on one item at a time. It answers "is this report used" very well, and it says nothing about the tenant as a whole. For that broader picture, and for the kind of aggregate view that supports a governed metrics layer, you move up a level to the admin tooling.
The admin monitoring workspace: usage across the whole tenant
When the question shifts from one report to the entire estate, the Fabric admin monitoring workspace is the no-code answer. Tenant admins get a prebuilt Feature usage and adoption report that aggregates activity across the whole organization, and it plugs directly into a broader Power BI governance model with workspaces and RLS. The workspace and its contents are described in the Microsoft admin monitoring documentation.
The report gives you activity timelines, the most active users, and the most active capacities, along with the consumption method that shows how content was accessed. That capacity view is exactly the signal you need when weighing Premium against Fabric capacity decisions, because it ties real usage to the compute you are paying for.
Two caveats keep this honest. The Feature usage and adoption report holds roughly the last 30 days of activity, so it is a monitoring surface rather than a long-term archive. The consumption method field can also come back blank for embedded or indirect access, which is worth remembering when you build reporting on top of it, the same care you would take when governing AI agents and access at enterprise scale.
Audit logs in Microsoft Purview
For the most granular history, the unified audit log in Microsoft Purview lets you extract Power BI usage data as individual events and export it without code. In the Purview portal you open the Audit search, set a date range, filter for Power BI activities, run the search, and then export the results to a CSV file you download locally. This is the governance-grade record that underpins how enterprises audit and govern their platforms, captured event by event.
The audit log records specific actions such as viewing a report, sharing content, or editing a semantic model, with the user and timestamp attached. Standard retention runs about 90 days, and organizations on the higher Microsoft 365 tiers keep the log for a year or more, which matters when compliance and enterprise governance requirements call for a longer trail than the built-in reports provide.
The trade-off is that the CSV export is raw. It is a flat event stream, so someone still has to model it into something readable before it becomes a dashboard, which is exactly where a well-structured semantic and metrics layer turns thousands of rows into an answer a leader can act on.
Which no-code method fits your question?
Choosing among these paths comes down to scope, retention, and who has access. The built-in report is instant and analyst-friendly but narrow. The admin monitoring workspace is tenant-wide but recent and admin-only. The Purview audit log is granular and exportable but raw, and each of these trade-offs echoes the ones a team weighs when tuning Power BI for performance and cost.
| Method | Scope | Retention | Who can access | Best for |
|---|---|---|---|---|
| Built-in usage metrics report | One report or dashboard | About 90 days | Content owners and viewers | Checking if a specific report is used |
| Admin monitoring workspace | Whole tenant | About 30 days | Tenant admins | Adoption and active users across the org |
| Purview audit log export | Individual user actions | About 90 days, longer on higher tiers | Compliance and admin roles | Detailed, event-level history and audits |
A practical setup often uses more than one. Analysts lean on the built-in report for day-to-day checks, admins watch the monitoring workspace for adoption trends, and the audit log feeds compliance and any longer-term reporting. Layering them this way gives you full coverage without a single API call, and it keeps usage insight in the hands of the people who need it, the same principle that guides sound licensing and capacity planning.
More than any single screen, what turns usage telemetry into value is treating it as a governed data source with a clear owner, a known retention window, and a place in your reporting model. The no-code paths get you the raw signal fast; the discipline around them is what makes adoption, cost, and compliance answerable on demand.
If your company wants to extract Power BI usage data and turn adoption, cost, and audit signals into decisions, our specialists can help you structure the governance and reporting model that best fits your context. Talk to our team and move your data maturity forward. ⬇️
How do I extract Power BI usage data without the REST API? Use the no-code tools built into the platform. Open a report and view its usage metrics report for one artifact, open the Fabric admin monitoring workspace for tenant-wide adoption, or search and export the Power BI audit log in Microsoft Purview as a CSV. None of these requires the Admin REST API, PowerShell, or a service principal.
What is the built-in Power BI usage metrics report? It is a preconfigured report you open from any dashboard or report through the More options menu. It shows views, unique users, and trends over roughly the last 90 days and refreshes daily. The default view is read-only, but you can copy it into a standard editable report to filter and reshape the metrics around your own questions.
How do I see Power BI usage across the whole tenant? Use the admin monitoring workspace in the Fabric admin portal. Tenant admins get a prebuilt Feature usage and adoption report with activity timelines, most active users, and most active capacities across the organization. It holds roughly the last 30 days of activity, so treat it as a live monitoring surface rather than a long-term archive.
How long is Power BI usage data retained? It depends on the source. The built-in usage metrics report covers about 90 days, the admin monitoring workspace holds around 30 days, and the Microsoft Purview audit log keeps roughly 90 days on standard plans, extending to a year or more on higher Microsoft 365 tiers. For history beyond those windows, you export and store the data yourself.
When should I still use the Power BI REST API instead? Reach for the Admin REST API when you need scheduled, automated, tenant-wide extraction into a data warehouse, or history longer than the built-in windows. For one-off checks, adoption reviews, and compliance exports, the no-code paths are faster and put the answers directly in the hands of analysts and admins.
