Reclaim 10× your spend.
Pay it back in weeks.
Measure Killer is the governance and clean-up tool the Power BI community has been quietly relying on for years. For a typical mid-sized BI team it returns six figures of recovered budget annually — split between Fabric capacity you no longer need, engineering hours you no longer waste, and incidents you no longer have to triage. Here's where it comes from.
A typical Power BI model carries columns, measures and tables nothing references. Drop the dead weight and the model shrinks far enough to step down a Fabric tier — or, like the real customer on the next page, leave Fabric altogether and return to Pro. Five-figure annual capacity savings are typical.
Less metadata to process means shorter refreshes, fewer capacity spikes, fewer throttling events at peak. The team stops scheduling around the refresh window and the refresh window starts respecting the team.
Decommissioned reports and stale pages still surface in Copilot, search and shared links. Trust in the BI surface drops, support tickets rise, and exec dashboards quietly fall behind. Cleanup is the cheapest UX upgrade you can ship.
Without lineage, renaming one column risks breaking reports three workspaces away. Engineers spend days hand-tracing impact before each release — or skip it and roll back at 9am the next morning. Measure Killer turns days of guesswork into seconds of certainty.
Measure Killer · Business CaseWhere the recovered budget comes from.
Two streams of savings, both conservative. Recovered hours across the four roles that actually touch a Power BI tenant — and a Fabric capacity stepdown on top, once your largest models drop into the next tier down.
| Role | Recurring task | Without Measure Killer | With Measure Killer | Hours saved |
|---|---|---|---|---|
| BI Lead / Power BI Developer | Clean up a shared model | 1–2 days of manual lineage tracing per model | Minutes — impact analysis + cleanup automated | 60–100 h / yr |
| Data Governance | Quarterly access + RLS audit | 2–5 days × 4 / yr collecting evidence by hand | One scan, one export — audit-ready | 50–120 h / yr |
| Fabric / Service Administrator | Monthly tenant inventory + change tracking | 4–8 h × 12 / yr stitching admin APIs together | Tenant scan + diff — automated | 50–90 h / yr |
| Data Engineer | Impact analysis before a source-schema change | 4–12 h per change × ~10 / yr (one missed break costs days) | End-to-end lineage in seconds | 40–100 h / yr |
The team hit the 1 GB size limit in a Pro workspace and were forced onto a Fabric F32 capacity — without knowing why their semantic model had grown so big. After 7 weeks (~$9,000 in capacity spend), they ran the analysis. Two GUID columns were taking 85% of the model size, referenced only on test pages no one had remembered existed. 20 reports were connected. Cleanup took an afternoon — they went back to Pro and stopped paying for F32.
Worked example · 7-person BI team
Hours alone. Capacity-bill savings vary by tenant and stack on top of this number — the real customer above saved an additional ~$5,500/month by returning to Pro.
~6× on engineering hours alone. 10–20× once capacity savings compound. Numbers above are conservative — most teams find more.
Measure Killer · Business CaseClean tenants are AI-ready tenants.
AI in BI is only as good as the model behind it — and most models aren't AI-ready out of the box. Measure Killer fixes both ends of the problem: it cleans the tenant so AI works, and it exports the metadata you need to let AI rank what to clean up next.
AI needs clean models. Period.
Copilot in Power BI, Microsoft Fabric Data Agent and every BI Q&A tool index everything in the model. Unused columns inflate the index. Dead measures get suggested as answers nobody wanted. Decommissioned reports surface in Copilot answers alongside the ones your team actually uses. Best-practice anti-patterns degrade every AI suggestion downstream. Cleanup is the prerequisite — not the nice-to-have — for any AI rollout on Power BI / Fabric.
Our exports are the unique fuel.
Measure Killer's tenant exports are the richest Power BI metadata you can get anywhere — every DAX expression, every M query, full report lineage, refresh events, best-practice violations, used vs. unused columns and measures, page-level consumption with average load times, and (from v2.9.5) capacity cost. Feed that to a frontier AI model and you get prioritised optimisation suggestions ranked by real financial and performance impact, not generic best-practice noise. No other tool produces this depth.
Try the free desktop tool
Install on your laptop, point it at a .pbix file, see unused measures in minutes. Free forever, no telemetry.
measurekiller.com/download →Free trial of paid features
We email a license key — usually within the hour. No credit card. Trial unlocks every paid feature against your own tenant.
measurekiller.com/trial →Book a live demo
30 minutes — your tenant or ours. We walk through tenant analysis, lineage, cleanup and ROI for your team size.
MK Automation demo · Microsoft Bookings →Built by Brunner BI · Zug, Switzerland · 2026 · gregor@brunner.bi
Measure Killer · Business Case