Spot duplicate models and reports, and untangle complex relationships — shipped in the latest release.
Find similar — or even duplicate — semantic models across your tenant.
Same idea as model similarity — but applied to reports.
Reduce complexity in models with many relationships.
From tenant-wide governance to column-level clean-up — both built on the same scan.
One pane of glass for every Power BI and Fabric item — metadata, lineage, access and usage.
Every workspace, item and user across Power BI and Fabric — with owners, creation date and last activity, all in one table.
Trace every dependency from data source to report, across workspaces. Search the lineage view for a specific table or column.
Workspace and per-item access, with AD / Entra groups expanded so you actually see who has access to what.
Refresh history, schedule, average duration, tunable best-practice rules (choose which to run, adjust thresholds), KPI inventory and storage mode for every model.
Inventory every Dataflow with its M code, refresh stats and number of queries. Search across all M expressions.
All Apps — including organizational Apps — with audiences, 28-day consumption, contacts and access details.
Views, page views, average load time, certified vs custom visuals, report-level measures and report subscriptions — rolled up per report.
Locations, access (for admins) and lines of code per notebook. Search every notebook for packages or keywords.
Every slice of the scan — DAX, M, lineage, refresh events, RLS, best-practice violations, page-level consumption with load times — as raw JSON files. Feed them to a frontier AI for prioritised optimisation suggestions, or pipe them into a governance dashboard. Capacity cost lands in v2.9.5.
Industry-best 99.99% reference-detection accuracy keeps cleanup safe — and your reports intact.
Local files or downloaded from the Service. Visual-level usage, page-level filters, report-level measures and mobile-layout artifacts.
Online thin / live reports analyzed without downloading — composite and child models, personal, Pro and Fabric workspaces. Full downstream lineage from a shared model to every report, Excel pivot and chained model.
Same usage detection for paginated reports — parameters, embedded datasets and data sources included.
Find which columns power your Excel users — pivot tables are detected by querying activity logs.
Across every report and model — with statuses like "Used in visuals", "Used in measures" or "Unused".
Usage tracked for the modern model objects too — calculation groups, KPIs and field parameters.
Spot implicit measures, unused calc groups, RLS gaps and other DAX best-practice violations.
For any column or measure, see every downstream visual and upstream source — your impact analysis, done.
Cleaned TMDL of your model with unused objects removed — the fastest and safest way to optimize a semantic model nowadays. Apply via the TMDL view in Power BI Desktop or the Service.
When Measure Killer removes a DAX measure or calculated column, the expression is auto-backed up so you can restore it with one click. Power Query columns are automatically backed up through an additional step in your M Code.
.measurekiller files save the full scan results. Exit today, pick up tomorrow — or hand the analysis to a colleague who runs the cleanup under their own permissions.
Remove unused objects from semantic models directly through XMLA. No round-trip through Power BI Desktop.
Step-by-step suggestions to clean and optimize your model — remove unused artifacts, disable auto-datetime, prune unused field-parameter tables, drop hidden bookmark visuals — each with an estimated size reduction so the biggest wins surface first.
Scan scope, detection, code search, governance, similarity, cleanup — every capability in one table, with docs linked from each row.
Download the desktop edition free, forever. No data leaves your machine.
Measure Killer