Power BI governance consulting
Senior US-based engineers put rules around the Power BI estate your team has already built: which tenant settings are switched on and for whom, how workspaces are organized and who holds which role, which semantic model is the trusted source for each number, whether row-level security really restricts what it should, and how far a report can travel once it is shared. One written scope, one fixed price agreed before work starts, typical delivery in 2–4 weeks with 30 days of hypercare.
Representative dashboard — sample data
What you get
Report sprawl is not a discipline problem. It is what happens when anyone with a license can publish, every workspace starts empty of rules, and nobody is asked which revenue figure is the real one. These are the decisions, made and configured.
The admin portal carries a long list of switches for publishing, sharing, exporting and embedding, many of them scoped to the whole organization by default. We read every one that matters, decide who each should apply to, and scope them to security groups.
Which workspaces exist, what each is for, who may create new ones, and which role each person holds. Most estates have too many Members and Admins, because adding someone as a Member is the fastest way to let them see a report.
One endorsed source for revenue, margin, headcount or whatever your board looks at, with named certifiers and a rule that new reports build on it rather than importing their own copy of the same spreadsheet.
Roles and filters checked against the people who actually open each report, including the ones who bypass security entirely because they hold an editing role in the workspace. Written up as a list of who sees what, not assumed.
Publish to web, external sharing, export to Excel and CSV, and link sharing each get a written position. Consumers move toward published apps with defined audiences instead of one-off shares nobody can later trace.
Governance nobody owns decays within a quarter. You get a standard short enough to be read, the configuration that implements it, a review cadence, and a walkthrough for whoever administers Power BI after us.
How it works
Every workspace with its role holders, every report and semantic model with its owner and last refresh, the tenant settings in force, current endorsements, and where row-level security exists. The argument about which revenue number is right usually settles itself once people see how many models calculate it.
Workspace structure, role model, certified sources, security approach, sharing and export posture — decided in a working session with the report owners and written into a short standard. We then configure it, scoped narrowly first and widened once nothing has broken.
Duplicate and abandoned content retired on an agreed list, consumers moved to viewer access or apps, orphaned reports reassigned, exceptions recorded, and the standard handed to a named owner with 30 days of hypercare behind it.
Power BI governance is the set of decisions that determine whether a growing collection of reports stays trustworthy or quietly turns into a dozen competing versions of the truth. Power BI arrives designed for adoption: anyone with a Pro license can publish, share and build on what others have published. Microsoft’s Power BI implementation planning guidance (opens in new tab) runs to dozens of articles precisely because the defaults leave the governance decisions to you. The work here is making the ones that matter at your size, then configuring them.
Deliverables are the estate inventory, a written governance standard covering tenant settings, workspaces and roles, endorsement, row-level security, sharing and export, the tenant configuration that implements it, an agreed remediation list for content that already exists, and documentation for the person who owns it after us. Work is performed remotely by senior US-based engineers from our Orange County, CA base, serving every US state, at one fixed price agreed before work starts after your free consultation.
Two adjacent services touch this ground, and buying the wrong one costs a month. Our Power Platform governance consulting services govern Power Apps and Power Automate — environments, connector data policies, maker permissions and the inventory of apps and flows. They share a brand name with Power BI but not an admin surface, and usually not an owner either: Power Platform governance is typically bought by IT, while this engagement is usually bought by the finance lead or BI owner whose numbers are being questioned in meetings. The two pair well in either order.
The other neighbor is the build side, which is what created the estate in the first place. Our Power BI dashboard development engagement decides what to build and builds it properly: a clean model, measures written once, reports people actually open. This engagement is about controlling what already exists, usually after several years of self-service publishing. If a single report is the real problem rather than the estate around it, a rebuild is the better purchase, and we will say so in the consultation. And where the underlying question is which seats your team actually needs, our guide to Power BI licensing for small business covers the license mix before anyone signs a renewal. Once the estate is under control, the day-to-day upkeep of the reports inside it — failed refreshes, broken visuals, small changes — is what our Power BI support and maintenance services handle.
Report sprawl is not one problem. It is six problems that look alike from the outside, each with its own control and its own catch. The table below is the pattern library we scope from; your written standard is the filled-in version of it.
| What people complain about | The control that answers it | The catch worth knowing first |
|---|---|---|
| Two dashboards show two different revenue numbers | One certified semantic model per core subject, named certifiers, and a rule that new reports connect to it rather than importing their own data | Certification is a label, not a lock — it guides people to the right source but does not stop anyone publishing a competing one, so the rule has to be written and owned |
| Regional managers can see each other’s figures | Row-level security roles on the semantic model, mapped to security groups rather than to individuals | Security only filters for people with viewer access; anyone holding Admin, Member or Contributor in the workspace sees every row regardless |
| Everyone is a Member of every workspace | A role model: a small group of editors per workspace, and consumers served through viewer access or a published app with defined audiences | Demoting someone from Member to Viewer removes their ability to edit, so the list of who genuinely builds content has to be agreed before roles change |
| A report link turned up somewhere it should not have | A written position on publish to web, external sharing and link sharing, with the tenant settings scoped to match | Publish to web creates a public link that anyone on the internet can open without signing in — most small organizations should restrict it to a named group or switch it off |
| Data leaves the tenant as spreadsheets | Export settings reviewed and scoped: who may export to Excel, CSV or PowerPoint, and from which workspaces | Once exported, a file is outside Power BI’s row-level security entirely, so the export decision and the security decision have to be made together |
| Nobody knows which reports anyone still uses | An inventory of workspaces, reports and semantic models with owners and recent activity, reviewed against a retirement list you approve | Reading tenant-wide activity needs a Fabric or Power BI administrator role, so someone in your organization has to genuinely hold one after we leave |
Microsoft’s row-level security guidance (opens in new tab) is worth reading on the second row, particularly how multiple roles combine for a single user. That behavior matters more than it sounds: a person in two roles sees the union of both filters, not the overlap, which is a common source of “why can this person see that?”
The most common finding in a Power BI security review is not a missing role or a wrong filter. It is a correctly written security model that most of the audience bypasses, because they were added to the workspace as Members so they could see the report. Workspace roles — Admin, Member, Contributor and Viewer — exist to separate the people who build from the people who consume, and row-level security is written for the second group only.
So we review them together. We list who holds which role in every workspace that contains a secured model, identify the people who can see more than the security design intended, and move consumers to viewer access or to an app. Where security is enforced, it is mapped to security groups rather than to individual accounts, so that a new starter in the West region gets the West filter by joining a group rather than by someone remembering to edit a role. Microsoft’s row-level security documentation (opens in new tab) sets out the mechanics; the governance work is deciding who belongs where.
Power BI lets content be endorsed so that report builders can tell the approved source from somebody’s experiment. Promotion is a lightweight signal any content owner can apply. Certification is the stronger one: your administrator enables it and names who may certify, and only those reviewers can apply the badge. Microsoft’s endorsement overview (opens in new tab) describes both levels and where the badges appear.
The badge alone changes little. What changes the numbers is the agreement around it: which subjects get a certified model, who owns each one, what a model has to pass before it is certified, and a standing rule that a new finance or operations report builds on the certified model rather than on its own import of the same data. At the size we work with, that is usually three to six certified models covering the questions leadership actually asks. The rest of the estate can stay self-service; it just stops being the source of record.
The usual fit is an organization of roughly 20 to 500 people whose finance, operations or sales team has been publishing Power BI reports for a few years and now has more workspaces than anyone can name. The trigger is generally one of four: two reports disagreed in a board meeting; an auditor or customer asked who can see which data; someone discovered a report shared well beyond its intended audience; or a new BI lead inherited the estate and wants to know what they own.
It is a poor fit in two cases, and we will say so during the consultation rather than after the invoice. If your concern is tenant-wide security posture — identity, conditional access, admin roles, oversharing across files and sites — then a Microsoft 365 tenant security assessment is the better first purchase and this can follow it. And if you have five reports and one workspace, you do not have a governance problem; you have a reporting build that should be done properly, which is what the dashboard engagement is for.
The table shows scope and typical timeline rather than prices, because an honest number requires seeing how many workspaces, reports and semantic models exist, how much row-level security is in play, and what state the ownership records are in. For how our fee is set and what is fixed before anything starts, our fixed-fee process spells it out.
| Phase | Scope | Typical timeline | Fee |
|---|---|---|---|
| Phase 1 — inventory and decisions | Full read of the estate: tenant settings, every workspace with its role holders, reports and semantic models with owners and recent activity, existing endorsements, row-level security in place, and sharing and export usage. A working session with the report owners then settles the workspace structure, role model, certified subjects and sharing posture | About the first week | Fixed fee — scoped after your free consultation |
| Phase 2 — configure and document | The agreed controls configured in your tenant — tenant settings scoped to security groups, workspace roles adjusted, certification enabled with named certifiers, row-level security mapped to groups, apps published for consumer audiences — alongside the written standard that explains each choice | Weeks 2–3 | Fixed fee — scoped after your free consultation |
| Phase 3 — remediate and hand over | The agreed remediation list worked through: duplicate and unused content retired, orphaned reports reassigned, key models certified, exceptions recorded with a reason. Then a walkthrough for the named owner and the review cadence documented | Week 4 and close-out | Fixed fee — scoped after your free consultation |
Everything produced is yours from the first day: the inventory, the written standard and the configuration all live in your own Microsoft tenant, never in ours. Nothing is deleted, retired or reassigned without your explicit approval of the list first, and where a rule turns out to be wrong six months from now, the standard is a document you own and can change without us.
Related services
The build side: a clean semantic model, measures written once, and reports your team actually opens.
The sibling governance engagement for Power Apps and Power Automate: environments, connector data policies and the app and flow inventory.
The tenant-wide read: identity, conditional access, admin roles and sharing defaults, written up as findings you own.
Pro, Premium Per User and Fabric capacity, and the license mix that fits a growing team.
The questions that separate a partner who builds maintainable reporting from one who leaves you with a black box.
The oversharing, permission and labeling checks that decide what an AI assistant is allowed to repeat back.
FAQ
It covers the rules around the reporting you already have: which tenant settings are on and for whom, how workspaces are organized and who holds which role, which semantic models are the trusted source for each number, how row-level security is enforced, and how reports may be shared or exported. We agree them, write them down, and configure them.
That engagement governs Power Apps and Power Automate: environments, connector data policies and the inventory of apps and flows. This one governs Power BI only: tenant settings, workspaces, semantic model endorsement, row-level security and sharing. It is a different admin surface and usually a different owner, typically finance or the BI lead rather than IT.
Row-level security filters data only for people who consume content as viewers. Anyone holding the Admin, Member or Contributor role in the workspace can see every row of the semantic model regardless of the rules. So we review workspace roles and security together, and move consumers to viewer access or a published app.
Certification is a visible badge that tells report builders which semantic model is the approved source for a subject, such as revenue or headcount. Only reviewers your administrator authorizes can apply it. Paired with a rule that new reports build on certified models, it is how two dashboards stop showing two different revenue figures.
It can, which is why nothing changes before the inventory is read. Turning off publish to web, restricting export, or moving someone from Member to Viewer each has a known list of affected reports and people. We share that list first, scope changes to security groups where possible, and widen them once nothing has broken.
Typical delivery is two to four weeks from kickoff, with the date written into your scope. The fixed fee reflects how many workspaces, reports and semantic models exist, how much row-level security needs reviewing, and how large the cleanup list turns out to be. One price, agreed after a free consultation, before work starts.
Book a free consultation
Tell us what you’re trying to fix — a report, an approval process, an intranet, a Copilot rollout. We scope it as a fixed-fee project, you approve, and a senior engineer delivers in 2–4 weeks.
The fastest way to reach us is the form — tell us the task and we’ll reply within one business day.