You cannot govern what you do not know. This is the basic principle of any data governance programme, and it applies very directly to Power BI: before you can secure, optimize or rationalize an environment, you need to know precisely and exhaustively what it contains. Yet, as discussed in our article on governance warning signs, the vast majority of organizations do not currently have a reliable, up-to-date inventory of their Power BI ecosystem.
What a complete Power BI inventory should cover
Reports
Name, workspace, owner, creation date, last modified date, last viewed date, and source semantic model(s).
Semantic models (datasets)
Connected data sources, connection mode (import, DirectQuery, composite), approximate size, configured refresh frequency, and status of the last refresh (success, failure).
Data sources
Name, type (database, file, API, online service…), URL or connection string, and status: linked to one or more active semantic models, or orphaned. This view shows at a glance which systems actually feed Power BI, and which are no longer used.
Dataflows
Transformations applied, upstream sources, and downstream models that consume them: essential information for any cross-workspace lineage project.
Apps and dashboards
Packaged sets of reports distributed to end users, with their audience list and update frequency.
Why Power BI’s native inventory falls short
Power BI Service of course lets you browse each workspace to see its content, and view data sources at report and workspace level. But this browsing remains manual and siloed, workspace by workspace, with no cross-cutting filter, no global keyword search and no usable structured export. Finding “all reports connected to a given database before its migration” or “all semantic models unused for six months” requires manual aggregation work that cannot be done efficiently beyond a handful of workspaces.
Concrete use cases for a centralized inventory
| Business need | Without a centralized inventory | With a centralized inventory |
|---|---|---|
| Find a report with an approximate name | Manually explore several workspaces | Instant keyword search |
| Prepare a source migration | Several weeks of manual investigation | Exhaustive list in a few minutes |
| Identify redundancies between teams | Discovered by chance, or never | Systematic comparison of the sources used |
| Respond to a compliance audit | Several days of manual compilation | Direct, documented export |
Building and maintaining the inventory over time
A frozen inventory, drawn up once during a one-off audit, quickly loses its value: new reports are created every week in an active organization, while others are deleted, moved or renamed. Collection must therefore be automated and refreshed regularly, ideally every day, using the Power BI administration APIs (endpoints related to workspaces, datasets, dataflows and reports), to remain reliable and usable over time.
From inventory to active governance
A good inventory is not an end in itself: it is the foundation that then enables usage analysis, duplicate detection as part of a cost reduction approach, exhaustive access audits, and reliable lineage. Without a solid, up-to-date inventory, all these analyses rely on partial or outdated data, which undermines the trust that can be placed in them.
Frequently asked questions
How often should a Power BI inventory be refreshed?
Ideally every day for active tenants, where new reports and workspaces are created regularly. A weekly refresh may be enough for more stable organizations, but anything less frequent than monthly leaves the inventory significantly out of sync with reality.
Do you need Power BI global administrator access to build a complete inventory?
Not the Microsoft 365 global administrator role. The Admin APIs needed to list all the workspaces of a tenant (including those you are not a member of) require either the Fabric administrator role, or a dedicated Service Principal, authorized through the tenant setting that opens read-only administration APIs to service principals.
Should the inventory include personal workspaces?
It is not necessary. The governance challenge lies with shared reports: that is where access, reliability of figures and cost issues are concentrated. Personal workspaces can remain outside the scope of the inventory.
The inventory is the building block for “Workspace sprawl“, “Power BI data lineage” and “How to audit access and permissions“: three topics that directly depend on it.
