Microsoft Power BI is usually the default rather than the decision — it arrives with the Microsoft estate you already run, and the question becomes how to deploy it rather than whether to. That is exactly why an independent read is worth having: the expensive mistakes on this platform are not "we chose the wrong tool", they are governance and licensing mistakes made in the first quarter and paid for over three years. We give that read before anyone commits. Power BI sits in our Data, AI & Analytics category alongside the alternatives worth scoring against it.
It fits organisations already standardised on Microsoft, where identity, security and the applications people work in every day are already Microsoft's — Power BI's own positioning is that it infuses visuals into the applications you use daily, and that integration is real value, not marketing. It fits where self-service demand is genuine: business users who will build their own reports if given a governed model to build on. And it fits where somebody is willing to own semantic models centrally, because Microsoft's own pitch for enterprise-grade semantic models only pays off if a team curates them.
We do not recommend rolling it out broadly before the semantic layer exists. Self-service without governed models produces a hundred versions of revenue, and clawing that back costs more than the licences ever did. We do not recommend it as the answer when the real problem is that data is trapped in operational systems — that is a platform and integration problem, and a visualisation tool will not solve it. And we are cautious where the estate is genuinely not Microsoft-centred: the integration advantage is the main argument, and without it the comparison against other platforms is much closer than people assume. In those cases we point at data and business intelligence groundwork first.
Per Microsoft's own product page: Power BI is a unified, scalable platform for self-service and enterprise business intelligence, used to connect to and visualise data and to infuse those visuals into the applications people already use. Microsoft positions enterprise-grade semantic models as the trust layer — the mechanism that grounds every report, and every AI interaction over those reports, in the same business logic. Power BI now sits inside Microsoft Fabric, where a single capacity can host reports and Fabric workloads and can share reports with users who do not hold paid licences. Power BI Embedded is published separately as a pay-as-you-go platform-as-a-service offering for embedding reports into your own applications. We restrict this section to what the vendor publishes.
The limitation that costs money is licensing, and Microsoft describes the shape of it plainly: licences are not exclusive, and organisations mix and match — capacity purchased as Premium or Fabric to host the most-used reports, and per-user Pro licences (sometimes arriving through a Microsoft bundle) for the people who create and publish. That flexibility is genuinely useful and it is also where budgets go wrong, because the cheapest correct answer depends on how many people create versus consume, and nobody knows that number before rollout. The second limitation is governance: the same self-service that makes adoption fast makes uncontrolled model sprawl fast. The third is that ease of visualisation flatters bad data — a well-made chart of an unreconciled number is more dangerous than no chart at all.
For a Saudi organisation the questions are where the tenant and its capacity sit, which of your regulators has an opinion about that, and whether Arabic-language and right-to-left reporting survive contact with the reports you actually need. ZATCA e-invoicing data and statutory reporting timetables have to keep working alongside whatever you build. We establish which requirements bind you and verify residency and regional availability in writing with the vendor rather than repeating a claim on your behalf. For a sector view, see retail, where multi-channel reporting is usually what starts the conversation.
We publish no prices; Microsoft's own vary by plan, capacity and region. What we build with you is the three-year picture: the licence mix modelled from a realistic split of creators and consumers rather than a guess, capacity sizing, the integration work to get governed data into the models, the semantic-model build itself, and the internal time to administer and curate it. The licence line is the one everybody estimates and the model-building line is the one that decides whether the licences were worth buying.
The shortlist is usually Power BI against another enterprise visualisation platform, or against the reporting already embedded in your ERP. Where the estate is Microsoft, the integration and identity story is a genuine advantage and we will say so; where it is not, the comparison is much closer and deserves real scoring. Our independent software comparisons set out how that scoring reads when it is published.
We start with the questions the business cannot currently answer, who needs to answer them, and which of those people will build versus consume — because that split drives both the licence model and the governance design. Candidates are scored against criteria agreed with you in advance and the scoring is written down. If the answer is that your ERP reporting already covers you, that is the recommendation; an impartial assessment is worth having precisely because it can come back negative.
We map every source that has to feed the semantic layer and every consumer that reads from it, agree the definitions before they are coded, and design refresh, failure behaviour and access control before the first report is built. Building reports first and the model afterwards is the most common way these programmes end up unpicked a year later.
Report authors are trained on the governed model and on why they should build from it rather than around it. Administrators are trained on capacity, refresh scheduling, workspace structure and access control. The first reporting cycle runs with our people on call, and the runbook is yours whether or not we stay.
We publish no percentages or counters on this page. A figure with no named client behind it is decoration. What a good outcome looks like we can describe plainly: one governed definition per metric, report authors who build from the model instead of exporting to spreadsheets, and a licence bill that matches the way people actually use the platform. Ask us for references in your sector and we will arrange direct conversations.
We do not quote a standard duration. Standing up the platform is fast; building the governed semantic layer that makes it worth having is what takes the time, and that depends on how many sources you have and how contested your definitions are. We size it in the assessment with the assumptions written down so you can challenge them.
The three-year view must include the licence mix across creators and consumers, capacity, integration, semantic-model build and curation, and internal administration. We model it with your figures rather than publishing a range, because a range not built on your creator-to-consumer split is a guess wearing a number.
Compliance posture depends on your sector, your tenant and capacity configuration, and where they are hosted, so we do not answer this generically in either direction. We establish which requirements bind you and get the residency position confirmed in writing by the vendor before it becomes a commitment.
Typically another enterprise visualisation platform and the reporting already embedded in your ERP. The evaluation and its scoring are part of the deliverable, so you can see what was considered and why it lost.
Yes — connecting to existing systems and surfacing the result inside the applications people already use is the vendor's own description of the product. Your operational systems stay where they are. What needs designing is the model layer and the refresh dependencies, and we audit that chain as part of the assessment.
There are no numbers in this section, and the heading deserves an honest answer rather than a filled one. We do not publish project counts, satisfaction scores or delivery statistics, because we cannot attach named clients to them and an unattributable figure is decoration. What we will state about our own work: no vendor commission, criteria agreed with you before any demonstration, scoring written down, and the written evaluation handed over whether or not you engage us to build.
We name clients only with their consent, and in direct conversations rather than on a product page. References from Saudi organisations in comparable sectors are available on request.
Every engagement ends in a written, evidenced recommendation with the workload analysis, licence model and governance design behind it. The deliverable is yours regardless of who builds, and it is the thing worth judging us on.
We do not publish testimonial quotes on this page. Speak to our references directly; an unmediated conversation tells you more than a curated pull-quote ever will.
We publish no accreditation claims, and we list technical partnerships only where they are contractual. None of them binds the advice given on this page — which is the point of asking us rather than asking a reseller.
Continue with our Data, AI & Analytics category, our data and business intelligence services, business intelligence consulting, or our independent software comparisons.
If Power BI is already in your estate and nobody is sure what it is costing or who owns the numbers, that is the session to book. You will leave with a licence model, a governance position and the evidence behind both. Request a demo or ask for an impartial assessment.
Unlimited support included.
One-on-one onboarding sessions.
Training videos, webinars, & demos.