The honest answer first

A Microsoft Fabric implementation typically costs €50,000 to €100,000 upfront, plus €2,000 to €5,000 per month in ongoing capacity and maintenance costs once it's live. We're starting with those numbers, because every credible ROI conversation should begin with the actual investment, not with the upside.

The challenge is that the value Fabric delivers is mostly time recovered and decisions enabled, not direct revenue. Those two things are real, but they're harder to put in a spreadsheet than a software licence renewal. The practical workaround:

• Estimate them conservatively

• Defend the estimate

• Let the math speak for itself

Dimension #1: the meetings you stop having

Here's the most underappreciated source of value from a unified data platform. Senior leadership in mid-market Belgian organisations spends a surprising amount of time in meetings about numbers, specifically debating which version of the numbers is correct.

The math we use:

A one-hour meeting with four senior people (Commercial director, CFO, operations head, CEO) can easily cost the company €1,500 to €3,500 in loaded compensation alone, once you account for prep time and the context-switching cost of pulling senior people out of their day. If that meeting happens because the dashboards disagree, or because nobody trusts last week's figures, you spent that money not deciding anything. You spent it just reconciling versions of the truth.

Ten meetings of that kind per year is conservative for many organisations. Some have ten per quarter. Ten meetings at €3,500 each is €35,000 of recovered senior leadership capacity. We're already inside the lower end of the Fabric investment envelope, and we haven't even talked about strategic value yet.

This is the boring half of the ROI, but it's the half that holds up under CFO scrutiny because every line is measurable.

Dimension #2: the decisions that become possible

The interesting half is harder to quantify but tends to dwarf the meetings math.

A Belgian logistics company we recently worked with could not, before Fabric, link logistics performance to individual customer profitability. The data lived in three different systems. Calculating true delivery cost per customer (i.e. the actual question Pricing wanted to answer) took two weeks of analyst effort and produced a number nobody fully trusted.

After Fabric, the same question produces numbers everyone agrees on. The first months after going live, Pricing identified the customer accounts where they were systematically losing money on delivery and renegotiated terms. That is revenue protection that was structurally impossible before.

Almost every Fabric engagement we run produces at least one of these "decisions we couldn't make before" moments. They don't fit cleanly in an ROI spreadsheet because you can't easily put a euro figure on a decision that was previously impossible to take. But they're what justify the investment in the eyes of the board.

A practical rule of thumb: if you can name three decisions that today take more than two weeks to prepare and produce numbers your team doesn't trust, you have a credible second-dimension ROI hypothesis.

What we deliberately include on the cost side

Honest ROI requires honest costs. Three things we always include, even when vendor business cases skip them:

Year one maintenance

Plan for 15 to 20 percent of the project cost in year one for maintenance, monitoring, and the inevitable adjustments. Skip this and you are setting up the project to be called a failure twelve months in.

Organisational accompaniment

Adopting Fabric is not just installing software. People need to learn it, processes need to adjust, internal champions need time. This is rarely a budget line, but it is always real time.

The premium for predictability

Fabric's fixed-capacity pricing is genuinely predictable, which is one of its strengths. The trade-off, said clearly, is that Fabric is typically a bit more expensive than a Databricks pay-per-use setup or a well-tuned open-source stack. You are paying for the unified-service convenience. If your finance team's job is to minimize cost per euro of data infrastructure, that's a real consideration. If their job is to remove surprises from the budget, the predictability is the value.

That’s definitely something to take into account when comparing several data platform options.

None of these costs turns Fabric into a bad investment for the right organisation. But leaving them out is how you produce an ROI deck that gets approved and a project that disappoints.

How to estimate ROI in practice

The framework we use during scoping, in four steps:

Step 1

List 3 to 5 strategic decisions in your organisation that currently take too long to prepare or produce contested numbers. Be specific. "Pricing decisions for customer segment X" is useful; "better decision-making" is not.

Step 2

For each decision, estimate either the cost of the delay (revenue at risk, customers lost) or the cost of the current indecision (continuing a losing practice). One credible number per decision is enough. Conservative estimates win the boardroom; aggressive estimates lose credibility.

Step 3

Count the recurring "reconciliation meetings" your senior team holds, the ones where the agenda is "let's agree on the numbers." Multiply by €3,500 per meeting. That's your floor ROI.

Step 4

Subtract the realistic maintenance and accompaniment cost for years one and two.

The output is a one-page business case. It will rarely show a return below 2x in year two for the right organisation. If it shows less, Fabric is probably not the right investment. Better to learn that during scoping than after twelve months of implementation.

When the ROI does not justify the investment

For the sake of intellectual honesty, not every organisation gets a positive Fabric ROI. Here are some of the patterns where Microsoft Fabric does not pay back:

• If you’re dealing with small data volumes and simple reporting needs, Fabric is overkill when a Power BI workspace with three semantic models could do the job. In these cases, we'd rather scope a lean Power BI setup and revisit Fabric once data volumes or team size justify the platform shift.

• If you already have a strong existing Databricks or Snowflake setup, the switching cost rarely justifies the unification gain.

• If your data foundations are not ready (e.g. if your organisation has not agreed on what a "customer" is across departments), Fabric will not fix that; it will only make the disagreement more visible. Here, the right starting point is a short data governance sprint: get the key stakeholders in a room, agree on core definitions and ownership, and document them before any platform work begins. Fabric becomes useful once that groundwork is in place, not before.

Saying this out loud is, in our experience, the fastest way to build trust during a sales conversation. The clients who hear it and proceed accordingly are the ones for whom the project will work.

Questions Belgian leaders ask us about Fabric ROI

How long does it take to see ROI from Microsoft Fabric?

For most SME engagements at Agilytic, the meetings-saved dimension starts paying back within the first quarter after go-live. The strategic-decisions dimension typically takes 6 to 12 months to crystallise, because it depends on use cases being identified, built, and acted on.

How much does Microsoft Fabric cost in total?

Implementation: €60,000 to €100,000 with us for an SME with clear use cases. Ongoing capacity is billed per F-SKU tier and starts around €260 per month for the smallest tier (F2), scaling by roughly doubling at each tier (F4, F8, F16). Most SMEs land between F2 and F8 once stable.

What's the difference between Fabric ROI and Databricks ROI?

Different shape. Fabric ROI tends to be steadier and tied to broad business value (decisions, reconciliation, unified reporting), while Databricks ROI tends to be sharper and tied to specific workloads (ML models, large-volume transformations). Neither is "better." They serve different organisations.

Do we need to migrate from Power BI to Fabric to get ROI?

No. Power BI already runs well on its own. You move to Fabric when you want the unified data layer underneath, not because Power BI is broken. Migrating Power BI to Fabric just to justify a project is a classic ROI-destroyer.

What kind of company gets the best ROI from Microsoft Fabric?

SMEs with 1 to 3 source systems, a small data team (0 to 3 people), Power BI already in place, and a clear bottleneck where decisions are slow because numbers are not trusted. That profile is the sweet spot.

Talk to us about Fabric ROI

If you're trying to build a credible Fabric business case for your board, we can help. The shortest useful first step is a 30-minute conversation in which we estimate, roughly, what your two ROI dimensions look like. No slides, no obligation.

Book a 30-minute call