Power BI has become the go-to visualization tool in most Swiss and European companies. Its adoption is often viral: one department starts, quickly gets visible results, and other teams follow.
This ease of use is in fact the main risk factor in the medium term. Past a certain threshold (sometimes as early as ten workspaces and thirty reports), most organizations lose a clear, up-to-date view of what actually exists in their tenant. This is not anecdotal: it affects fast-growing SMEs as much as international groups with structured IT teams.
Here are seven concrete signals, regularly observed in the field, that should alert an IT department, a Data Manager or a Business Intelligence Manager.
1. Nobody can say how many reports actually exist
This is often the first signal, and the easiest to test: ask your BI team how many Power BI reports currently exist in the organization.
In the vast majority of cases, the answer is a rough estimate, not a verified figure. When an internal audit, a GDPR/nFADP compliance request or a security review comes along, the team, if it does not have tenant administration rights, has to open each workspace one by one to list the artifacts (reports, semantic models, dataflows, apps).
This purely manual task easily takes several days of work for a mid-sized tenant, and the result is already partly outdated the next day, since new reports keep being created in parallel.
Observed case
At one of our clients, a 400-employee services company, a compliance audit required three weeks of part-time work from an external consultant, solely to build a manual inventory of Power BI workspaces: work that an automated catalogue would have produced in a few minutes.
2. Access requests rely on human memory
“Who has access to this payroll report?” If answering this question means contacting three different people, or even opening the report itself to check the list of users it is shared with, access management is no longer traceable at the scale of the organization.
Power BI manages permissions at four different levels (workspace role, direct report sharing, row-level security or RLS, Microsoft 365 group inheritance), and no native interface lets you cross these four layers in a single view per user or per report.
3. Several reports tell different numbers
This is the most visible symptom for business leaders, and often the one that triggers awareness at the highest level.
Each team builds its own revenue dashboard from slightly different sources (ERP extracts taken on different dates, filters applied differently, diverging business definitions of an “active customer”).
The result: the figure presented to the executive committee by Sales does not match the one presented
by Finance, and nobody knows anymore which report is the reference.
4. History disappears after a few weeks
Natively, Power BI only keeps a limited history: 30 to 90 days depending on the log or usage report concerned. It is therefore impossible to analyse a usage trend over twelve months, to understand why a report was modified six months earlier, or to reconstruct the conditions of a security incident that occurred outside this window. This point is covered in more detail in our article on Power BI metadata retention.
5. Lineage stops at the workspace boundary
Tracking the impact of a data source change across the entire estate concerned is almost impossible as soon as the reports live in different workspaces, which is the norm in any organization beyond a handful of teams. Power BI’s native lineage view, while practical, remains centred on one workspace at a time: data sources are only visible at report and workspace level, with no global view across the tenant.
6. Obsolete reports are never cleaned up
Without visibility on actual usage, nobody dares to delete a report “in case someone still uses it”. This legitimate caution, repeated across hundreds of artifacts, leads to an environment that grows indefinitely. Every report and every semantic model refreshed daily consumes compute resources, which directly increases the sizing, and therefore the cost, of Fabric capacities (or Premium for existing contracts).
7. Governance depends on a single person
In many mid-sized organizations, a single Power BI administrator holds the implicit knowledge of the overall architecture: who created which workspace, why a given capacity was allocated to a given department, which reports are truly critical. Their departure, extended absence or simply their workload exposes the company to an immediate loss of control and a risky organizational dependency.
Summary table: symptom, cause, risk
| Observed symptom | Root cause | Main risk |
|---|---|---|
| Unknown inventory | No centralized catalogue | Compliance, long and costly audits |
| Unclear access | Permissions spread across 4 layers that are not cross-checked | Security, data leaks |
| Contradictory figures | Duplicated sources, no data governance | Loss of trust from management |
| Limited history | Native Power BI retention of 30 to 90 days | Inability to analyse trends |
| Partial lineage | Siloed view per workspace | Unanticipated changes, broken reports |
| Report accumulation | No clean-up policy | Rising capacity costs |
| Dependency on one person | Undocumented knowledge | Organizational risk |
How to take back control
These seven symptoms share a common cause: Power BI was not natively designed to oversee an ecosystem at the scale of an entire organization. It excels at visualization and self-service analytics, less so at cross-cutting governance.
This is precisely the gap that dedicated
monitoring solutions fill, by centralizing history, inventory, lineage, access and usage in a single interface, automatically fed by the Power BI administration APIs.
The first concrete step, before any tooling, is to take an honest inventory: how many workspaces exist, how many have an identified active
owner, and how long it has been since a full access audit was carried out. This assessment, often uncomfortable, is the necessary condition
for prioritizing corrective actions.
Frequently asked questions
At what size should you start worrying about Power BI governance?
There is no universal threshold, but difficulties usually appear from around thirty active reports, or as soon as several business teams create their own reports without central coordination. The real indicator is not the number of workspaces but the inability to quickly answer the questions “who has access to what?” or “what exists in our estate?”.
Is Power BI governance only an IT topic?
No. While technical implementation is often handled by IT or the BI team, the consequences of poor governance directly affect the business: reliability of figures, trust from management, regulatory compliance. Power BI governance is a cross-functional topic that must involve business data owners.
Should everything be reorganized at once?
No, and it is generally not realistic. The right approach is first to gain complete, continuous visibility of the existing environment, then to prioritize corrective actions by criticality (sensitive access first, then duplicate clean-up, then naming conventions).
