Power BI Usage Metrics · multiple workspaces

How to combine Power BI Usage Metrics across multiple workspaces.

You have three practical choices: review each workspace natively, build and operate a central history pipeline, or use a maintained product. The right choice depends on how many workspaces matter, how long you need the history, whether page-level evidence is required, and who will own the system when Microsoft changes.

Reviewed by the UsageVault product team · July 27, 2026

Start by separating “all reports” from “all workspaces.”

Microsoft’s current Usage Metrics documentation explains how to remove a report filter and see usage for all reports in the same workspace. That is useful, but it is not the same as combining a portfolio of workspaces into one governed history. The distinction matters when Finance, Sales, Operations, and other teams publish into different workspaces.

The current Power BI experience is also changing. Microsoft documents a modern Usage Metrics report in preview whose semantic model retains 30 days and a legacy report with a 90-day view. The modern documentation says that preserving history beyond its window requires periodic export to an external data store. Always verify which experience is enabled in your tenant before designing around a retention number.

Primary sources: modern Usage Metrics (preview) and legacy Usage Metrics on Microsoft Learn.

Three workable paths

Choose the ownership model before the dashboard.

The extraction method is only one part of the decision. Retention, operations, identifiers, data quality, privacy, semantic modeling, documentation, and support determine whether the result stays useful.

1. Use native reports

Best when workspace owners need recent answers and can review workspaces separately. It is included, familiar, and maintained by Microsoft. It becomes cumbersome when a central team needs one portfolio, consistent definitions, or history beyond the source window.

2. Build a central pipeline

Best when your engineering team wants complete design and operating ownership. Treat it as a small internal product—not a one-off API script. Plan for scheduled collection, historical storage, throttling, retries, identity resolution, privacy, modeling, reporting, monitoring, documentation, and Microsoft changes.

3. Use a maintained product

Best when the requirement is important but another internal platform is not. Evaluate workspace scope, source depth, hosting model, deployment time, storage ownership, reporting experience, support, and multi-year commercial cost—not the feature list alone.

Decision table

Match the option to the job you actually have.

Comparison of approaches for Power BI Usage Metrics across multiple workspaces
RequirementNative per workspaceInternal buildUsageVault
Recent answer inside one workspaceStrong fitUsually unnecessaryUsually unnecessary
One view across selected workspacesManual or workspace-by-workspaceYou design itIncluded within licensed scope
History beyond the source windowRequires external preservationYour storage and retention designCustomer SQL policy after collection
Page-level historyAvailable within native source limitsDepends on source and designPreserved when supported by the source
Ongoing operationsMicrosoft-owned native experienceYour team owns itProduct operations plus shared customer responsibilities
Historical data locationMicrosoft-managed native modelYour chosen storeCustomer-controlled SQL
Commercial modelApplicable Microsoft licensingLabor and infrastructureOne-time standard product license plus customer infrastructure

UsageVault is intentionally scoped to approved workspaces. It is not positioned as a tenant-wide backup, lineage, policy-enforcement, or full governance suite.

What to define before you centralize the data

  • Decision: adoption reporting, performance prioritization, consolidation, retirement, license review, or another job.
  • Scope: every workspace, or only the governed business portfolios where the decision matters.
  • Grain: report views, page views, unique viewers, devices, opening performance, inventory, and collection health.
  • History: the source window you can recover now and the retention policy you need after collection.
  • Privacy: whether user identifiers are required, who can see them, and how long they should remain identifiable.
  • Ownership: who responds to missed runs, source changes, broken mappings, failed refreshes, and questions about definitions.

Do not promise history you have not collected.

A new pipeline or product cannot recreate activity that Microsoft no longer exposes. Start by checking the history still available in the tenant, document the first complete collection date, and make partial periods visible. Durable evidence begins after the collection process is operating reliably.

When UsageVault fits

A bounded portfolio, a durable requirement, and no appetite for another internal product.

UsageVault collects available activity from selected workspaces, writes historical records to customer-controlled SQL, and delivers a maintained Power BI semantic model and report for adoption, performance, governance, inventory, and discovery decisions.

Core

Up to 10 workspaces

US$3,900 one time. Initial guided setup for three workspaces, then documented self-service expansion within scope.

Portfolio

Up to 50 workspaces

US$7,900 one time. Initial guided setup for ten workspaces, multiple delivery scopes, an IT administration view, and broader handoff.

Not a fit

Native is enough—or a suite is required

Use native metrics for simple recent questions. Choose a broader platform when you need tenant-wide backup, lineage, policy enforcement, or multi-BI governance.

Pressure-test the approach

Bring your workspace count and the question you need one report to answer.

We will show the delivered Power BI experience, review the source and infrastructure boundary, and tell you if native tools, an internal build, or UsageVault is the better fit.

30-minute fit check

No tenant access or source code is needed for the first conversation.

Request a walkthrough