March 10, 2026·4 min read·Mid-sized businesses, Brazil, Strategy

Data concierge for Brazilian mid-sized businesses: the stage the market ignores

Brazilian mid-sized businesses are too big for spreadsheets and too small for a full data team. The concierge model is designed exactly for that zone.

Gabriel Fernandes

Data Wizard

Ler em português

There's a stage in the life of a Brazilian company that nobody in the consulting market serves well. Not the five-person startup still using the CFO's spreadsheet. Not the two-thousand-employee corporation with a Chief Data Officer and forty Power BI dashboards. The middle. The 80-to-400-person company, R$ 50–500M in revenue, two or three legacy systems, BI improvised by the analyst who joined last year, and a director who looks at a Monday-morning report he doesn't fully trust.

That stage consumes the most management time and is the worst served by the consulting market. Big firms don't show up, the scope is too small for their margin. BI agencies show up but sell tooling, not foundation. Freelancers show up but disappear when the contract ends. And hiring a full-time head of data is a R$ 30k+/month payroll jump most mid-sized businesses aren't ready to make yet.

Typical symptoms of a stalled mid-sized business

Before I propose a solution, the signs I see in nearly every Brazilian mid-sized business that reaches out. Three or more of these and you're in the stage:

The CFO or operations director asks for the same report every week and the analyst rebuilds it manually because "there's a detail you can't automate".
Power BI / Looker / Metabase has 30+ dashboards but the team uses three, and the other 27 show different numbers for the same metric.
The ERP is the source of truth in theory, but every executive report passes through an intermediate spreadsheet living in one specific person's OneDrive.
The monthly results meeting starts with arguing about a number instead of debating a decision.
There's a "modernise our data" project that's been parked for eight months because nobody has clarity on what that concretely means.

Why the traditional alternatives fail at this size

Looking at the four classic options I detailed in what is a data concierge, each has a specific failure mode for the mid-sized business:

Senior full-time hire. Expensive, six months to recruit, and requires a job definition that isn't clear yet. If the hire doesn't work out, you've burned twelve months and lost the momentum.
Big Four / large consultancy. The mid-sized business isn't big enough for the kind of contract these firms want. If they accept, they staff junior people, and you pay senior rates for junior execution.
BI agency. They'll deliver dashboards. The mid-sized business problem isn't a lack of dashboards, it's a missing foundation that the dashboards can sit on. Treating the symptom while leaving the cause.
Freelancer. Can deliver an excellent piece, but isn't going to sit with the CFO to debate accounting margin versus management margin. The scope is too narrow for the messiness of the middle.

What changes with the concierge model at this stage

The concierge model fits this size because the incentives line up:

Seniority without permanent headcount. You're buying the level of judgment the problem requires without taking on a senior payroll line. When the problem shrinks, the retainer shrinks.
Modular foundation that grows with the company. I build the minimum viable base that serves the current scenario and supports the next 24 months of growth , without over-engineering for companies that don't need Snowflake when BigQuery solves it.
Real continuity across phases. A monthly retainer keeps someone who knows the history of decisions available when the next question lands, instead of reopening the RFP for every new phase.
Genuine handoff to the in-house team. The goal isn't to leave you dependent. It's to deliver the foundation, document everything, and ideally, 18 months from now, you hire a head of data who inherits a tidy house instead of a renovation project.

I work with Brazilian mid-sized businesses sitting in exactly this stage: too big for spreadsheets, too small for a full data team. A 30-minute call: you walk me through the current mess; I tell you whether the model fits and what's achievable in 12 weeks.

Talk through your company

A typical 12-week engagement

To make it concrete: a typical mid-sized engagement starts with 1–2 weeks of diagnostic (map systems, interview stakeholders, identify the 3–5 decisions that move the needle most). Then 6–10 weeks of build, usually a lightweight warehouse on BigQuery or Snowflake, dbt for transformations, three to five genuinely trustworthy dashboards in Metabase or Power BI, and documentation the next analyst can actually read. Then a monthly retainer of 8–12 hours for continuity.

The goal isn't to have the best data stack in Brazil. It's to have a stack the team trusts, that the CFO consults without calling anyone first, and that grows without needing to be rebuilt when the company doubles in size.