Data, BI & AI Consulting

Your scattered spreadsheets become one single screen, with your real monthly profit one click away.

MegaBI builds the bridge between messy information and business decisions. A data foundation, dashboards anyone can understand, and applied AI to take manual work out of the way.

Before — scattered spreadsheets
sales_final_v2.xlsx
?
costs_(updated).xlsx
??
copy_of_copy.xlsx
profit?
whatsapp_orders.txt
After — MegaBI dashboard
Jan
Fev
Mar
Abr
Mai
Jun
Real margin+18.4%

AI reached Brazilian companies before their data foundation did

That gap is where the money is being lost — and where the opportunity is.

41.9%
of Brazilian industrial companies with 100+ employees already use artificial intelligence — up from 16.9% in 2022.
IBGE / PINTEC Semestral, 2024
27.8%
of those same companies actually analyse big data. AI arrived before the ability to read their own numbers.
IBGE / PINTEC Semestral, 2024
+40%
of agentic AI projects will be cancelled by the end of 2027 — cost, unclear value and missing governance.
Gartner, 2025

There is budget and appetite for AI. What is missing is the organised data that makes AI work. That is exactly where MegaBI starts.

Ronaldo, fundador da MegaBI
São Paulo / Santos — Brazil

Ronaldo Mega

Founder & Data, BI & IT Consultant — MegaBI

After years solving the real-world mess of scattered spreadsheets and disconnected systems for real companies, I created MegaBI to deliver the same kind of clarity every business deserves to have about its own numbers — without needing an in-house data team.

Today that means combining data engineering, BI and applied AI into a single engagement — from diagnosis to a dashboard working right on your phone.

2Cities served
1:1Direct guidance
360°Data, BI & AI

Five fronts, fifteen services

You hire only what solves the problem you have now. The order matters: a dashboard built on dirty data is rework, and an AI agent without a foundation is a pilot that dies at proof of concept.

01 · Foundation

Data Foundation

The layer that stops the number from changing depending on who calculates it.

  • Data Pipelines (ETL/ELT)We unify ERP, POS, e-commerce, marketplace, spreadsheets and APIs into automated flows, with load logs and failure alerts.
  • Cloud Data WarehouseArchitecture on BigQuery, Snowflake, SQL Server or equivalent, sized for your volume — no infrastructure you will not use.
  • Governance & LGPDData catalogue, quality rules, access matrix by role and an audit trail. Compliance that survives an inspection.
02 · Decision

Insight & Decision

What the board actually looks at, plus the models that anticipate what comes next.

  • BI & DashboardsPower BI or Looker dashboards designed per area — sales, finance, operations — with the indicators that really move the decision.
  • Predictive AnalyticsForecasts for demand, seasonality, churn risk and default, plugged into the dashboard the team already uses.
  • Data Literacy NewTraining your own team to read, question and use the dashboard — and to keep it running without depending on us.
03 · Applied AI

Applied AI & Automation

The biggest demand of 2026 — and the highest failure rate. We do it with governance from day one.

  • Agents & CopilotsAI assistants that answer questions over your own data (RAG), organise orders, triage service and draft replies — with an audit trail.
  • AI + Process RPARepetitive routines automated end to end: reconciliation, registration, document extraction, report generation and delivery.
  • AI Readiness & Governance NewReadiness assessment, usage policy, cost control and approval criteria — so the pilot becomes production.
04 · Build & run

Systems & Support

When the problem does not fit in a dashboard — and what happens after the project ends.

  • Custom SystemsWeb applications built for your process: portals, access control, approval flows, integrations with ERP and Active Directory.
  • Migration & Modernisation NewLeaving legacy behind: Qlik or Tableau to Power BI, on-premise to cloud, spreadsheet to database.
  • Support & EvolutionSupport with SLA, load monitoring, fixes and continuous evolution of dashboards and integrations.
05 · Keep it running
with TIXAR

Managed IT & Support

While we take care of the data, the IT operation underneath has to stay up. For that we work with TIXAR, an IT services company running support, infrastructure and outsourcing since 1999 — so you get one point of contact for both layers.

Service Desk & Field ServiceRemote and on-site support with a defined SLA, so your team is not stuck waiting on a ticket.
Infrastructure, Cloud & SecurityMicrosoft 365, Google Workspace and AWS: migration and management, plus backup and monitoring of servers, networks and assets.
IT OutsourcingDedicated, shared or hybrid professionals — sourcing, hiring and ongoing management handled for you.

Managed IT is delivered in partnership with TIXAR — Tecnologia e Serviços de TI (tixar.com.br). Data, BI and AI remain MegaBI's own delivery.

The MEGA Method — four phases, something useful delivered in each

No phase depends on hiring the next one. You can stop, review and decide at any point.

M

Map

Diagnosis of your sources, processes and data maturity. You leave with a prioritised roadmap and a business case.

2 to 4 weeks
E

Engineer

Pipelines, cloud data warehouse, quality, catalogue and access rules. The foundation that holds everything else up.

1 to 3 months
G

Generate

Dashboards, predictive models, AI agents and automations. This is where the operation feels the gain.

4 to 12 weeks
A

Amplify

Support with SLA, continuous evolution and training so your own team can run the day to day.

Monthly

Every phase ends with a deliverable that stays with you, even if the project stops there.

MegaBI Data Maturity Index

The diagnosis places your company on one of five levels and defines the next step — not the ideal step, the next one.

01
Scattered

Isolated spreadsheets; the number changes depending on who calculates it.

02
Consolidated

Sources unified and loads automated. One number, and it can be trusted.

03
Visible

Dashboards per area, indicators followed inside the management routine.

04
Predictive

Models anticipate demand, churn and risk. Decisions stop being reactive.

05
Autonomous

Agents and automations acting on the data, with governance and audit.

Most companies we work with start between levels 1 and 2 — and reach level 3 within the first quarter.

PermeO — digital deliberation platform

Technical review, security plan and migration roadmap delivered with scope, schedule and budget closed up front.

The challenge

A digital participation platform was running on JSON files instead of a database, with the administrator password written into the source code and a login that never verified identity. There was no audit trail and no role-based access control.

What MegaBI delivered

  • Full technical review: architecture, data modelling and business flow
  • Vulnerabilities mapped and classified by criticality
  • Fix backlog broken down by sprint, with effort estimated in hours
  • Migration plan from JSON to SQL Server and an RBAC design
  • Schedule and budget closed before the first line of code
9vulnerabilities mapped and prioritised, 2 of them critical
4sprints with scope and effort defined per task
100%of the budget closed before execution started

Final deliverable: a 27-slide technical presentation covering architecture, risks, schedule and budget — used by the client to approve the investment internally.

Packages and reference ranges

Published so the conversation starts in the right place. The formal proposal comes after the diagnosis.

Package
What it delivers
Typical time
Investment range
Data & AI Readiness diagnosis
Source map, Maturity Index, prioritised roadmap and business case
2 to 4 weeks
R$ 9,800 – R$ 24,000
Essential BI
One area, up to 3 sources: Power BI or Looker dashboard with automated loads
4 to 6 weeks
R$ 15,000 – R$ 38,000
Data Foundation
ETL/ELT pipelines, cloud data warehouse, quality and governance
2 to 4 months
R$ 70,000 – R$ 180,000
Applied AI — Agents & Copilots
Agent with RAG over your own data, governance and audit trail
6 to 12 weeks
R$ 35,000 – R$ 120,000
AI + RPA automation
Routines robotised: reconciliation, registration, extraction and report delivery
4 to 10 weeks
R$ 18,000 – R$ 70,000
Custom system
Web application for one specific process, with integrations
scoped
from R$ 40,000
Data squad
Dedicated team of 2 to 3 specialists with a continuous backlog
monthly, min. 6 months
R$ 25,000 – R$ 60,000 /mo
Managed IT (with TIXAR)
Service desk, field service, infrastructure, cloud and IT outsourcing
monthly
on request
Support & Evolution
Support with SLA, load monitoring and continuous dashboard evolution
monthly
R$ 3,900 – R$ 15,000 /mo

Reference values for typical scopes, in Brazilian reais, software licences not included. Hourly and hour-bank work: R$ 125 to R$ 250/h depending on seniority. The diagnosis fee is deducted from the first project you contract.

Let's find out where your business is losing money.

A 30-minute conversation at no cost: we map your sources, the main pain and what can be automated first. If it makes sense, the next step is the paid Data & AI Readiness diagnosis.

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