Choosing how to buy
Three ways to buy the same work, priced very differently. Here is what changes between a marketplace freelancer, a traditional agency, and senior-led delivery on prepaid hours — and how to test any of them cheaply.
Representative dashboard — sample data
The real question
Every buyer arrives at this comparison with a rate card, and rates are the least informative thing on it. A marketplace hire at a low rate, an agency at a high one, and a senior specialist somewhere in between can all produce a working dashboard. What differs is how likely you are to need it rebuilt, how much of your own time gets consumed managing it, and who is accountable when the numbers are wrong.
We are one of the three options on this page, so read this knowing that. What follows is written to be useful even if you choose differently — including the cases where an agency is genuinely the right answer and we are not.
What separates the models
Whichever model you are leaning towards, test it on a small real task rather than a proposal. With us that test is free of risk: unhappy within the first 4 hours and we refund the block in full, no questions asked.
Where each model earns its keep
No model wins on every axis. These are the differences that show up months after the invoice.
For a contained, well-specified task with someone competent, this is the cheapest route and we would not pretend otherwise. The risk is that you are also the quality control, and specifying BI work precisely is itself expert work.
Multiple specialists, cover for absence, and the capacity for a programme with several workstreams. If your project genuinely has those, an agency is the right shape and this page should not talk you out of it.
The common agency complaint: senior people scope the work, junior people deliver it, and the rate reflects the former. Ask at proposal stage who writes the DAX, and ask to meet them.
Account management, discovery phases, and project minimums are real costs in agency pricing. On a single-dashboard build they can exceed the engineering, which is why minimums exist in the first place.
Solo arrangements end abruptly when someone takes a full-time job. The protection is not headcount, it is documentation and ownership — both of which you can insist on from anybody.
The model we run: one senior US-based engineer, prepaid hours, no minimum and no account layer. It suits focused builds and ongoing support, and it is a poor fit for multi-team programmes.
The table sets out the practical differences. The marketplace and agency columns describe common patterns rather than any particular provider, and there are excellent exceptions in both categories — a great independent contractor with a decade of Power BI experience is a different proposition from the marketplace average.
| Factor | Marketplace freelancer | Consulting agency | Senior-led prepaid hours |
|---|---|---|---|
| Typical rate | Lowest of the three | Highest, plus account overhead | $100–$125/hr, published |
| Who builds it | The person you hired, usually | Often a different, more junior person than the one who scoped it | The senior engineer you spoke to |
| Minimum commitment | None | Project minimum or retainer is common | One block; no contract or notice |
| Time to start | Fast, once you have vetted candidates | Slower — proposal and discovery phases | Scope estimate first, then 3–5 business days |
| Cover for absence | None | Bench depth — the genuine agency advantage | None; scheduled around instead |
| Who specifies the work | You, in detail, or quality suffers | Them, at a price | Scoped jointly before hours are committed |
| Best fit | Small contained tasks with a clear spec | Multi-workstream programmes | Focused builds and ongoing senior support |
| Ownership | Check the contract carefully | Check for tenant hosting and IP clauses | Yours outright, in your workspace |
Buy a small piece of real work rather than a discovery phase, and then inspect the thing underneath the charts. Ask for one measure rebuilt or one broken report fixed, and look at what arrives: is there a proper date table, are measures named consistently, is the model a star schema rather than a pile of joined extracts, and did anyone write down how it works?
Those four checks separate durable work from something that demos well and collapses when the business changes. Microsoft's own Power BI guidance documentation (opens in new tab) sets out the patterns any competent builder should be following, and it is a fair yardstick to hold all three models against.
Prepaid Flex hours that never expire: Starter 20 hours at $125/hr ($2,500), Growth 40 hours at $115/hr ($4,600), Power 80 hours at $100/hr ($8,000). There is no project minimum, no retainer, and no discovery phase to fund before anything gets built. Every request is scoped in hours and you approve it before work starts. For hourly market context across all three models, see Power BI consultant cost per hour.
If budget is the binding constraint rather than the model, affordable Power BI consulting covers how to get useful reporting for less, and smaller teams should read Power BI developer for small business.
If you need several specialists working in parallel, twenty-four-hour coverage, or a formal programme structure with named account governance, an agency will serve you better and we will say so on the call. The same applies if you have a tightly specified, low-complexity task and an internal person able to review it — a marketplace hire is likely to be the economical answer there.
Agencies that would rather subcontract the build than staff it can also work with us directly through white label Power BI for agencies.
senior engineer, named
minimums or retainers
own everything
Test us on one real task before committing further. See Flex pricing.
How it works
Not a trial project — something you actually need. A broken refresh or a measure nobody trusts makes an excellent test.
You get scope and hours before work starts. Put that next to the quotes you have from other routes and judge specificity, not just price.
Look at the model, not just the visuals. If it is documented, standard, and in your workspace, you can take it anywhere afterwards.
Representative perspective
The cheap build worked until we needed to change it. Nobody could follow the logic, so we paid twice — once for the original and once to have it rebuilt properly.Finance manager, e-commerce brand
Representative perspective
The agency proposal was thorough and the minimum was four times what the work needed. For one dashboard, that maths never made sense.Managing partner, professional services firm
Send the task you are getting priced elsewhere. You'll get a scope estimate in hours and a straight view of whether this model fits — including when it doesn't.
FAQ
The hourly rate usually is. Whether the work is cheaper depends on how much rework it needs. A low rate on a model that has to be rebuilt in six months costs more than a higher rate on something durable, so compare cost per working dashboard rather than cost per hour.
Bench depth and continuity. An agency can absorb holidays, illness, and parallel workstreams, and larger programmes genuinely need that. The trade-off is that the senior person who won the work is often not the person who builds it, and you pay overhead for capacity you may never use.
Buy a small, real task rather than a discovery phase. Ask for one measure rebuilt or one report fixed, then look at the model behind it: a date table, named measures, and documentation. That tells you more in a few hours than any proposal or portfolio will.
Always confirm this in writing, whichever route you take. With us the report, semantic model, and documentation are yours outright in your own workspace. Be cautious of anyone hosting your reporting in their tenant or treating a data model as their reusable intellectual property.
This is the real risk with any single-person arrangement, ours included. The mitigation is documentation and ownership rather than headcount: if the model is in your workspace, follows standard patterns, and is documented, any competent consultant can pick it up without starting again.
If the comparison you are really making is against a hire, read Power BI consultant vs in-house analyst. To see how the hours work day to day, see hire a senior Power BI developer and Flex pricing, or outsource Power BI development if the driver is capacity. The work itself is described in dashboard development, data modeling and DAX, and report design, and you can see typical output in Power BI dashboard examples. Every task is scoped before work begins from your prepaid block of senior-led hours — no project minimums, no change-order surprises, and hours are deducted only for work you approve.
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.