Reports that crawl
Visuals spin for thirty seconds, slicers lag, and users have quietly gone back to exporting to Excel. Usually a model problem wearing a report costume — bidirectional filters, calculated columns, or a fact table joined to itself.
Audit & findings report, done for you
Slow reports, numbers that don't tie out, refresh failures at 6am, a tenant nobody has cleaned up in three years. A senior US-based engineer reviews the estate and hands you a written, severity-ranked findings report with effort estimates in hours — typically within 3–5 business days.
Representative dashboard — sample data
Diagnose before you rebuild
Most teams don't need a rebuild. They need to know which three things out of forty are the reason the report takes ninety seconds to load and the CFO stopped trusting the revenue number. That is what a Power BI health check service is for: a senior engineer opens the model, the measures, the refresh history, and the workspace settings, and tells you exactly where the estate is broken, how badly, and what it will take to fix.
This is the done-for-you version. You don't run the audit; we do. You get a written findings report you can hand to a CFO, a CIO, or the next contractor — ranked by severity, with an effort estimate in hours next to every item so you can budget before you commit.
What we look at
The audit is drawn from prepaid Flex hours. If you're unhappy within the first 4 hours of your block, we refund you in full — no questions asked. Hours are deducted only for work you've reviewed and approved, there's no project minimum, and your banked hours never expire.
Who books one
If any of these sound like your week, an outside review will pay for itself in avoided rework.
Visuals spin for thirty seconds, slicers lag, and users have quietly gone back to exporting to Excel. Usually a model problem wearing a report costume — bidirectional filters, calculated columns, or a fact table joined to itself.
The dashboard says one revenue figure, the ledger says another, and nobody can explain the gap. Almost always a measure written against a broken grain, a duplicated dimension, or a date table that isn't marked as one.
Someone checks a mailbox every morning to see whether the 6am refresh died again, then re-runs it by hand. Gateway credentials, timeouts, source schema drift — each has a different fix and a different cost.
Forty workspaces, nine reports called "Sales Final v3", and no one is certain which dataset the executives actually open. We inventory what exists, what's used, and what can be retired.
The person who built it left, took the tribal knowledge, and left no documentation. Before you own it, you should know what you've inherited — including the security model.
Moving to Fabric, consolidating tenants, or deciding between Pro and Premium Per User. Auditing first stops you from paying to carry old mistakes into the new platform.
It's a structured, senior-led review of everything between your source data and the executive's screen: the semantic model, the DAX, the refresh pipeline, the security rules, the report pages, and the tenant around them. It ends in a document, not a bill for a rebuild. You decide what to fix and when.
The word "audit" scares people because it sounds like a compliance exercise. It isn't. Think of it as a second opinion from someone who has seen a few hundred Power BI estates and can tell within an hour whether your problem is a modelling problem, a DAX problem, or a plumbing problem — because those three have wildly different price tags and fixing the wrong one is how teams burn a quarter. If you already know your problem is acute and you want hands-on debugging rather than a report, our Power BI troubleshooting consultant service is the faster route.
Six areas, every time: the data model and star schema, the DAX measures, refresh and gateway reliability, row-level security, report and visual performance, and workspace governance plus licensing fit. Each area produces findings with a severity and an effort estimate, so the report is a plan rather than a list of complaints.
Data model and star schema. We check whether you have a proper star — conformed dimensions, a single marked date table, one direction of filter flow — or the snowflake-and-spaghetti hybrid that grows when models are extended under deadline. We look at cardinality, calculated columns that should be Power Query steps, unnecessary columns inflating the model, and relationships set to both directions "because it made the visual work." This is where most performance and most tie-out failures originate, and it's the same discipline covered on our Power BI data modeling and DAX service page.
DAX measures. We read the measures, not just run them. Common findings: filter context clobbered by ALL() where REMOVEFILTERS() on one column was meant; iterators over millions of rows where a simple aggregation would do; time-intelligence built by hand on an unmarked date table; measures duplicated eight times with tiny variations because nobody could find the original. We flag the ones that are wrong and, separately, the ones that are merely slow.
Refresh and gateway reliability. We pull the refresh history, look at the failure pattern, and separate the real causes: expired or personal-account gateway credentials, source timeouts, memory ceilings on a Pro workspace, incremental refresh that was never configured so a five-year fact table reloads in full every night. Microsoft documents the applicable ceilings and behaviour in its data refresh reference (opens in new tab), and we assess your setup against them rather than guessing.
Row-level security. The finding nobody wants and everybody needs: whether the RLS roles actually restrict what they claim to. We test roles as the user, look for the classic dimension that isn't filtered by the security table, and check whether "View as" was ever run before the report went live. A silent RLS leak is the single most expensive thing we find.
Report and visual performance. Page-level analysis with Performance Analyzer: which visuals are slow, whether the cost is DAX query time or visual rendering, how many visuals are competing on one page, and whether custom visuals are dragging the whole thing down. If you want the DIY version of this specific piece, we wrote up how to fix slow Power BI reports.
Workspace governance and licensing fit. An inventory of workspaces, datasets, reports, owners, and usage — what's live, what's abandoned, what's duplicated. Then the honest licensing conversation: whether you're paying for Premium capacity you don't use, or squeezing a Premium workload into Pro and paying for it in failed refreshes instead.
Every audit starts with symptoms, because that's what you can see. The table below shows the paths we most often trace from a visible complaint back to its real cause and the fix that follows — useful for orienting yourself before we look, though the actual finding depends entirely on your estate.
| Symptom you see | Likely root cause | Typical fix |
|---|---|---|
| Report takes 30s+ to load | Bidirectional relationships, calculated columns, no star schema | Re-model to a star, push transforms to Power Query |
| Totals don't match the ledger | Wrong grain, duplicated dimension rows, unmarked date table | Fix relationships and grain; rewrite affected measures |
| Scheduled refresh fails overnight | Gateway credentials, source timeout, full reload of a large fact table | Repair gateway, configure incremental refresh |
| A user sees data they shouldn't | RLS role missing a filter path to a dimension | Rebuild roles, test with View as, document the model |
| Slicers lag but visuals are fine | High-cardinality columns, too many visuals per page | Reduce cardinality, split pages, trim visual count |
| Nobody knows which report is current | Workspace sprawl, no ownership or lifecycle policy | Inventory, retire duplicates, set workspace governance |
A written findings report and a walkthrough call. The report lists every finding with a severity (critical, high, medium, low), the evidence behind it, the recommended fix, and an effort estimate in hours. Critical items — RLS leaks, wrong numbers — sit at the top. It's your document; nothing is locked to us.
Concretely, the report contains an executive summary you can forward without editing; an inventory of the workspaces, datasets, and reports in scope; the six review areas each with their findings; a prioritized remediation plan where every line has a severity and an hours estimate; and a "quick wins" section listing what can be fixed in under two hours each. The walkthrough call is 45–60 minutes with the engineer who did the work — not an account manager reading slides — so you can argue with the findings and get straight answers. Afterwards you can execute the plan in-house, hand it to your own contractor, or ask us to burn the remaining Flex hours doing it. All three are fine, and we don't make the third one a condition of the first.
We don't sell a fixed-price audit, because estates aren't fixed-size. You buy prepaid Flex hours — Starter 20h at $125/hr ($2,500), Growth 40h at $115/hr ($4,600), Power 80h at $100/hr ($8,000) — and the audit draws from that block. A typical health check fits comfortably inside a Starter block.
That matters more than it sounds. A competitor's flat-fee audit has to price in the worst case, and the hours you don't use vanish. With Flex, the hours the audit doesn't consume stay banked — and they never expire — so you can spend them on the fixes the audit just prioritized, or on anything else Power BI-shaped later. We send a scope estimate before we start and deduct hours only for work you've approved. Full detail on the model is on how our prepaid Flex hours work, and if you want an ongoing senior relationship rather than a one-off review, that's Power BI consulting.
It's for teams with an existing Power BI estate that's slow, untrusted, unreliable, sprawling, inherited, or about to be migrated. It's not for teams starting from a blank page — there's nothing to audit yet — and it's not for anyone who already knows the fix and just wants hands on keyboard.
The best-fit callers are a controller who can't reconcile the dashboard to the close, an IT lead who inherited a tenant when the BI analyst resigned, an operations director whose refresh fails twice a week (there's a whole guide on the Power BI scheduled refresh failed error if you want to triage it yourself first), and a CIO deciding whether the current estate is worth carrying into Fabric. Increasingly it's also a BI lead who has been asked to switch on Copilot and wants to know what the models would say before anyone starts asking them questions — that readiness work is set out on our Power BI Copilot consultant page, and it goes much better after an audit than before one. If you're none of those and you simply want a competent pair of hands on a known problem, skip the audit and go straight to booking hours — we'll tell you honestly which one you need.
Then take our checklist and go. We publish the same review structure we use internally, free, with no gate: the Power BI health check checklist. If you have an analyst with the time and the appetite, working through it is genuinely worthwhile and you don't need us.
The reason people hire it out anyway is rarely the checklist — it's the judgement. Knowing that a bidirectional relationship is a smell is easy; knowing whether this bidirectional relationship is the reason this report is slow, or a harmless artefact, is the part that takes twenty years. Same for licensing: anybody can read the Pro-versus-Premium feature matrix, but sizing your actual workload against it without over-buying is a different skill. If you'd rather buy the judgement than the hours, that's what this page sells.
business days, typical
review areas
own the report
Most health checks fit comfortably inside a Starter block, leaving hours banked for the fixes. See Flex pricing →
How it works
Send the symptoms and a rough count of workspaces, reports, and data sources. We reply with a scope estimate and the hours the review will take — before anything is deducted from your block.
Read access to the workspaces in scope (or the .pbix files, if you'd rather not grant tenant access). A senior engineer works through the six areas, tests RLS as a user, and pulls the refresh history.
You get the written findings report with severities and hour estimates, plus a 45–60 minute call with the engineer who wrote it. Typical turnaround: 3–5 business days. What you do next is entirely your call.
Pricing
Buy a block, spend it on the audit, keep the rest banked for the fixes. Hours never expire, and there are no project minimums.
Starter
20 hours
$125 /hour
$2,500 prepaid
Growth
40 hours
$115 /hour
$4,600 prepaid
Power
80 hours
$100 /hour
$8,000 prepaid
We don't publish a flat audit fee because we don't charge one. The review is scoped in hours, quoted before it starts, and deducted only once you approve.
Representative perspective
We assumed we needed to rebuild everything. The review said three measures and one relationship were causing most of it, gave us the hours for each, and we were done in a week instead of a quarter.Finance director, mid-market SaaS
Representative perspective
Our analyst left and nobody knew what was in the tenant. Getting a written inventory with severities attached meant I could take a real remediation budget to my board rather than a shrug.IT director, regional healthcare provider
Tell us the symptoms and roughly how big the estate is. We'll come back with a scope, the hours the review needs, and a start date — drawn from prepaid Flex hours that never expire, with no project minimums and no obligation.
FAQ
There is no fixed audit fee. You buy a block of prepaid Flex hours — Starter 20 hours at $125/hour ($2,500), Growth 40 hours at $115/hour ($4,600), or Power 80 hours at $100/hour ($8,000) — and we draw the audit hours from it. A typical health check fits comfortably inside a Starter block, leaving hours banked for the fixes.
Three to five business days is typical from the moment we have access, for an estate of a handful of workspaces and reports. Larger or multi-tenant environments get a clear timeline up front, before any hours are used. You approve the scope estimate first, so nothing is deducted without your say-so.
Read access is usually enough: viewer or member on the workspaces in scope, plus the .pbix files or a copy of the semantic model. If you would rather not grant tenant access, send the files and refresh history exports instead. We tell you exactly what is needed before we start.
Both, and they are separate decisions. The audit ends with the findings report and walkthrough call — you own it and can hand it to anyone. If you want us to execute the fixes, we scope each one and draw from the same banked hours, highest severity first. You are never obligated to continue.
Absolutely, and we publish the checklist we use so you can. The difference is time and pattern recognition: twenty years of Microsoft-platform work means we know which of the forty things on that list actually explain your slow report. If you have the hours, DIY is a fine choice.
Book a free demo
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.