How to budget a Power BI project: a step-by-step method

A Power BI budget has three lines, not one: the build (consultant days multiplied by a day rate), the licences (per user, per month, indefinitely) and the run (changes, refresh failures, the questions nobody thought of yet). Price all three or you will be surprised in month four. Over three years, the build is usually the smallest of them.

What are you actually buying?

Most requests for a Power BI budget are really a request for the build number, because that is the one with an invoice attached. It is the one that matters least to the total.

Think of it as three lines:

Build. The one-off work to connect the sources, model the data, write the measures and design the reports. Quoted in days or as a fixed price.

Licences. What Microsoft charges to let people open what you built. Small per head, permanent, and it scales with success.

Run. Someone maintaining the thing: fixing a failed refresh, adding the measure the finance director asked for in October, adjusting the model when the source system changes. This is the line that gets left out.

Get all three onto one page before you talk to anyone about price.

What does the build cost?

Start from the market rate, then work out how many days your scope needs.

For contract work, the median daily rate for a Power BI consultant in the UK was £450 in the six months to 1 September 2026, with the tenth percentile at £360 and the ninetieth at £508 — up 9.09% year on year from £413 (IT Jobs Watch). Treat that as a directional figure rather than gospel: it is drawn from a thin sample of advertised contract roles, and advertised contract rates are not the same thing as a consultancy's fixed-price quote.

The days are the part you can actually control. The bands below are our own planning assumptions, not market research — they are what we use when scoping, and your mileage will vary with how messy the source data is.

Scope	What it covers	Planning band (days)	Build cost at £450/day
One report, one clean source	A single source, one report, a handful of measures	5–8	£2,250–£3,600
A first proper data model	2–4 sources, star schema, row-level security, 2–3 report pages	12–20	£5,400–£9,000
Departmental rollout	Several sources, gateway and scheduled refresh, training, deployment process	25–40	£11,250–£18,000
Business-wide or Fabric-based	Lakehouse or warehouse, pipelines, governance, multiple report consumers	50+	£22,500+

Two honest caveats. Day-rate arithmetic sets an upper bound rather than a price — a fixed-price quote from a boutique firm is frequently lower, because the scope is closed and the work is done by someone who has built the same thing before. And the single biggest swing factor is not in the table at all: it is the state of your source data.

What do the licences cost?

As of September 2026, on Microsoft's UK pricing page and excluding VAT:

Licence	Price	What it gets you
Power BI Desktop	Free	Building reports on your own machine
Power BI Pro	£10.80 per user/month, paid yearly	Publishing and sharing in the service; the standard SME choice
Premium Per User (PPU)	£18.50 per user/month, paid yearly	Larger models, more frequent refresh, some Premium features
Fabric capacity (F-SKUs)	Priced by capacity unit	Direct Lake, very large models, many consumers

(Microsoft Power BI pricing, UK, as of September 2026.)

The arithmetic that surprises people is the annual one. Twenty-five Pro users is 25 × £10.80 × 12 = £3,240 a year, excluding VAT — modest against a build, but permanent, and it grows every time the reporting succeeds and another department asks for access.

Capacity is the decision most often got wrong in both directions. Buying an F-SKU before you have a workload that needs one is money set on fire; refusing to cost one when you have ninety report consumers on Pro licences is a false economy. If you want to model the licence side properly against your own user counts, our Power BI pricing estimator does the comparison, and the Power BI consultancy page explains how we scope the build side.

What does it cost to run?

This is the line that decides whether the project was worth it.

A Power BI deployment is not a website that sits there. Source systems change, the business asks new questions, and refreshes fail at inconvenient times. Budget a named, recurring allowance — a day a month is a reasonable starting point for a departmental deployment — and decide who holds it before you go live.

Where this goes wrong is predictable. A report gets built beautifully, nobody owns it, a refresh fails silently in week six, someone spots a number that looks wrong, and trust evaporates. Rebuilding trust costs far more than the maintenance day would have. The five signs it's time to call in a Power BI consultant is largely a list of what this decay looks like from the inside.

What makes the number go up?

Four things, in roughly this order:

The state of your data. Clean, well-structured sources with sensible keys are quick. Spreadsheets with merged cells, three spellings of each customer name and a column called Notes2 are not. Most of the work in most projects is here.

How many exceptions your business has. "Revenue is simple, except for the two clients on the old contract, and except at year-end." Every exception is a modelling decision and a testing case.

How many people need something different. One report for one team is straightforward. The same numbers, sliced for five departments with different permissions, is a different project.

Whether it has to be right or roughly right. Reconciling to the penny against the finance system is real work and sometimes essential. Deciding it is not essential, deliberately, saves a lot of money.

How do you avoid the three classic overspends?

Modelling twice. The most expensive thing an SME does with Power BI is build reports directly on raw tables, discover in month three that the numbers cannot be sliced the way the business wants, and start again. A proper star schema early costs a few extra days and saves a rebuild.

Buying capacity too early. See above. Cost it, do not reflexively buy it.

Scoping by wishlist. A twenty-page requirements document produces a twenty-page quote. Pick the three decisions the reporting is meant to change, build for those, and add the rest once people are actually using it. If you are still deciding whether to buy in the work at all, our comparison of in-house versus outsourced Power BI development sets out the three-year picture.

Frequently asked questions

How much does a Power BI project cost in the UK?

There is no single number, but you can build one. The median UK contract day rate for a Power BI consultant was £450 in the six months to 1 September 2026 (IT Jobs Watch), so a first proper data model at our planning band of 12–20 days works out at roughly £5,400–£9,000 of build cost, plus licences from £10.80 per user per month and an ongoing allowance for changes. Fixed-price quotes from a boutique consultancy often come in under the day-rate arithmetic because the work is scoped rather than open-ended.

What does Power BI actually cost to licence?

As of September 2026, Power BI Desktop is free, Power BI Pro is £10.80 per user per month paid yearly, and Premium Per User is £18.50 per user per month paid yearly — all excluding VAT, per Microsoft's UK pricing page. Fabric capacity (the F-SKUs) is priced separately by capacity unit and only makes sense at larger scale.

Is it cheaper to hire someone in-house?

Over several years, often yes — but only if there is enough work to keep them busy and someone senior to check what they build. The trap is the middle: too much work for a spare afternoon, not enough for a full-time salary. That is the gap consultancies exist to fill, and it is worth modelling both options over three years rather than one.

What is the most common budgeting mistake?

Pricing the build and forgetting the run. A report that nobody owns stops being trusted within about two refresh failures, and the rebuild costs more than the maintenance would have. Budget a small, named allowance for changes from day one.

Do we need Fabric capacity to start?

Almost never. Most SME reporting runs perfectly well on Pro or Premium Per User licences. Capacity is worth costing when you need Direct Lake, very large models, or you have more report consumers than it makes sense to licence individually.

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Easy Insight is a UK consultancy for AI, web, apps and data — senior specialists only, no juniors.