Power BI Development Services

Power BI Development Services

Senior LATAM engineers who build the model underneath your reports, so the numbers agree wherever anyone looks, at 30-50% below US rates.

Applebees
KPMG
Mastercard
Microsoft
NetJets
Toyota
  • 18+
    years delivering software
  • 150+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
Who we are

Senior engineers who build the model, not just the dashboard

Almost nobody calls us because they cannot build a chart. They call because there are now forty workspaces, three definitions of active customer, and a monthly meeting that starts by arguing about whose number is right.

FusionHit brings senior data engineers across Latin America who fix that underneath, then build on top of it.

FusionHit team in a project planning meeting at the Costa Rica office \
WHAT WE DELIVER

Power BI services we deliver

What US teams hand us, whether Power BI is new to the company or has been growing on its own for three years.

Power BI consulting

An assessment of what exists, what it costs in licences and refresh capacity, and what your reporting actually needs, delivered as a plan with an order of work.

Semantic model development

The shared model underneath the reports: star schema, DAX measures written once, and definitions agreed with the business rather than reinvented per dashboard.

Report and dashboard development

The reports themselves, designed around the decision each one supports, and built to load fast enough that people actually open them.

Data integration

Sources connected and refreshes scheduled with incremental loads, so a dataset does not take an hour to update and quietly fail on a Tuesday.

Governance and row-level security

Workspaces structured, datasets certified, and row-level security modelled against how your organization is actually built.

Migration and optimization

Estates moved from Tableau, Qlik, Excel or Power BI Report Server, and slow existing reports re-modelled rather than re-skinned.

TRUST

One set of numbers, not forty dashboards

Power BI is easy to start with, which is why most estates end up here: reports everywhere, each with its own logic, and a leadership team that no longer believes any of them. Neither competitor on this search addresses it. It is the whole job.

Measures defined once

Revenue, churn and active user get one definition, written once in a shared semantic model and used by every report. When the business changes the definition, it changes in one place instead of in eleven files nobody can find.

Certified datasets and a workspace people can navigate

A clear structure with certified datasets, so a new analyst knows which source is the real one without asking. Sprawl is a governance problem, not a discipline problem, and it gets solved structurally.

Lineage from the number back to the source

Every figure traceable to the table and the transformation it came from. When someone challenges a number in a board meeting, the answer takes minutes and comes with evidence rather than with a promise to look into it.

Why FusionHit

Why US companies choose FusionHit for Power BI

  • Senior engineering talent

    Vetted nearshore engineers with production experience across industries and modern stacks.


  • Real-time collaboration

    Nearshore teams aligned with US time zones for synchronous planning, reviews, and delivery.


  • Flexible engagement

    Scale engineering capacity up or down as your roadmap and priorities evolve.


  • Integrated partnership

    We work as an extension of your engineering and product teams, not as a detached external vendor.

FusionHit senior nearshore engineers working with a US client team

Your reporting can stop being an argument.

Talk to an expert, 30 minutes, no commitment.

Talk to an Expert
INDUSTRIES

Reporting built on how your industry counts

The hard part is rarely the visual. It is agreeing what a customer, an order or an episode of care is.

Fintech

Portfolio, risk and compliance reporting with the audit trail and restatement history your examiners expect.

Healthcare

Clinical and operational reporting under HIPAA, with row-level security modelled around who is allowed to see which patients.

SaaS

Retention, expansion and usage reporting per tenant, reconciled against billing so the board deck matches the invoices.

Logistics

Operational reporting refreshed at the speed dispatch decides, not overnight.

Retail

Sales, inventory and margin reporting reconciled across channels so one product number means the same thing everywhere.

Manufacturing

Production, quality and OEE reporting at the grain planning actually works in.

TECHNOLOGY EXPERTISE

The Microsoft data stack we work in

Power BI sits on top of something. We work on both.

Power BI

Modeling

Microsoft Fabric

Azure data

Warehouses

Transformation

HOW WE ENGAGE

Three ways to engage Power BI engineers

Staff augmentation

Senior Power BI engineers added to your existing team, under your direction, in days rather than months.

Dedicated development teams

A team working only on your reporting, sprint after sprint, while you set the priorities.

Full project outsourcing

You hand over the scope and we deliver it under our management, covering assessment, modelling, build and handover.

FAQ

FAQs about our Power BI consulting services

01

How much do Power BI consulting services cost?

Senior nearshore rates run 30-50% below equivalent US salaries and consultancy fees. What you pay depends on how many sources feed the model, how much of the business logic has to be agreed rather than copied, and whether you need reports built as well. You get a line-item estimate on the first call. Microsoft licences are separate and paid by you directly.
02

Which Power BI licence do we actually need?

It depends on how many people consume reports and how large the datasets are, not on how many people build them. Pro is per user and fine for smaller teams. Premium Per User adds larger models and more frequent refreshes for individuals. Fabric capacity is charged per capacity rather than per user and starts making sense once the audience gets large or you need embedded reporting. We work out which one costs you less during the assessment and show the arithmetic.
03

We already have Power BI and it is a mess. Where do you start?

With an inventory: every workspace, dataset and report, who uses it and when it last refreshed. Most estates turn out to have a small number of datasets doing real work and a long tail nobody has opened in a year. We consolidate onto a shared model and retire the rest, which is usually faster than it sounds.
04

Why do our reports show different numbers?

Because the same measure got written more than once, slightly differently, in reports built by different people at different times. It is the most common problem we are called in for and the fix is structural: one semantic model, measures defined once, datasets certified so people know which one to use.
05

Can you work with our analysts rather than replacing them?

Yes, and it works better that way. Your analysts know what the numbers mean, which is the part no external team can supply. We build the model with them and hand over something they can extend rather than a black box.
06

Do you handle the data underneath, or only the reports?

Both. Slow or wrong reports are usually a modelling or a pipeline problem rather than a Power BI problem, so we work on the warehouse and the refresh as well as the dashboard. That is the difference between hiring a reporting shop and hiring a data team.
07

Can you migrate us from Tableau, Qlik or Excel?

Yes. We start by working out which reports are actually used, because migrating everything is how these projects overrun. The model gets rebuilt properly rather than translated visual by visual, and the retired reports stay available read-only until nobody asks for them.
08

How do you handle who can see what?

Row-level security modelled against your actual organizational structure, ideally driven by your identity provider so it stays current when people move roles. For regulated data, restrictions are set at the model rather than left to workspace permissions.
09

Our refreshes are slow or keep failing. Can you fix that?

Usually, and usually without buying more capacity. Incremental refresh, a properly modelled star schema, and pushing transformation upstream into the warehouse fix most of it. Buying a bigger capacity to make a bad model faster is the expensive version of the same conversation.
10

Do you train our team?

Yes, and the goal is that you need us less over time. Documentation, working conventions, and hands-on sessions with the people who will maintain it, so the model does not decay the moment the engagement ends.
11

Who owns the reports and the model?

You do. Everything lives in your Power BI tenant and your repository from the first day, and the contract assigns all intellectual property to you.
12

How fast can Power BI engineers start?

We present matched profiles within days, you interview and approve them, and most engineers onboard in under 2 weeks.
13

How much time zone overlap will we have?

Our engineers work across Latin America on US Central and Eastern time, which gives 6-8 hours of daily overlap. Modelling work depends on it, because half of it is asking your team what a field is supposed to mean.

Ready to have one set of numbers?

Tell us what your reporting has to answer and where the figures currently disagree, and we will show you the team that can fix it.

Trusted by leading teams

  • Mastercard
  • NetJets
  • KPMG
  • Applebees

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