Data engineering with a business mindset

Less noise.
Better decisions.

We organize complexity so your company can move forward with reliable, connected data that is ready to drive action.

Demo · fictional data

Intelligence to decide

Executive view

Reliable data for better decisions.

January — June 2026

Integrated sources

12

+2 in the period

Active processes

18

+3 in the period

Data quality

99.4%

Goal: 99%

Data volume processed

GB

Distribution by system

  • ERP33%
  • CRM22%
  • Finance18%
  • HR12%
  • Others15%
500+stores served
since 2023

Experience to turn operational challenges into clarity for decision-makers.

RetailIndustrySoftwareConsultancies

From data to decision

What BI is, in plain language

BI is turning scattered data into a clear view of the business: what happened, why it happened, and where to act. We take care of the entire path, from source to decision.

  1. Data sourcesERP, CRM, spreadsheets, SharePoint, APIs, and databases enter the flow.
  2. IntegrationWe connect the systems and automate collection.
  3. Organization and qualityStandardization, rules, and confidence in the numbers.
  4. BI and dashboardsClear indicators to monitor the business.
  5. Recurring reportsFinance, sales, logistics, and quality at the right pace.
  6. DecisionInformation reaches decision-makers and becomes action.

For every area, a reading of the data

  • Leadership: Overview, goals, margin, growth, and predictability.
  • Finance: Revenue, costs, cash flow, delinquency, and periodic closing.
  • Sales: Conversion, portfolio, average ticket, regions, and team performance.
  • Logistics and operations: Volume, deadlines, failures, productivity, and inventory.
  • IT and data: Integrations, quality, governance, and automation.

What we do

The core of the consultancy, without complication

Five workstreams covering the complete cycle: connect, organize, visualize, monitor, and anticipate.

Integrations and pipelines

We connect ERPs, CRMs, APIs, spreadsheets, and databases into automated flows.

Dashboards and BI

Executive and operational indicators in Power BI, Superset, and custom environments.

Recurring reports

Periodic closings and reports for finance, sales, logistics, and quality.

Governance and quality

Organization, standardization, and confidence in company data.

AI and predictive analytics

Intelligence models for scenarios, forecasts, and new insights.

Dashboards

Indicators your team understands

Illustrative examples of how integrated data becomes executive and operational dashboards. Every project is designed around your operation’s metrics.

Illustrative example

Executive view

Daily update

Monthly revenue

R$ 2.4M

+8%

vs. previous month

Integrated sources

12

ERP, CRM, and APIs

Data quality

98.7%

+1.2%

Illustrative example

Sales and finance

Weekly update
Physical store42%
E-commerce31%
Marketplace18%
Others9%
  • ERP58%
  • CRM26%
  • Spreadsheets and APIs16%

Illustrative example

Operations and logistics

Daily update

Illustrative example

On time86%
Minor delay9%
Critical delay5%

Recurring reports

Closing and monitoring at the pace of your operation

Illustrative templates of recurring reports. Content, frequency, and format are defined together with each area during implementation.

PDFExecutive report

Monthly

Financial report

Revenue, costs, cash flow, and delinquency in a standardized closing.

PDFExecutive report

Weekly

Sales report

Conversion, portfolio, average ticket, and performance by region and team.

PDFExecutive report

Daily

Logistics report

Volume, deadlines, failures, and operational productivity.

PDFExecutive report

Monthly

Quality report

Data consistency, pending items, and governance evolution.

All examples in this section are illustrative and do not represent client results.

I want a report like this

Integrations

Your systems talking to each other, without manual work

We connect the leading ERPs and CRMs on the market, plus APIs, webhooks, SharePoint, spreadsheets, and databases. Tool choice is agnostic: what matters is that information arrives complete where it is needed.

  • Market-leading ERPs
  • Market-leading CRMs
  • REST APIs
  • WSDL and SOAP
  • SharePoint
  • Online spreadsheets
  • Databases
  • Webhooks
  • ERP58%
  • CRM26%
  • APIs and spreadsheets16%

Illustrative origin of integrated data.

Employee wearing an OFICIAL uniform in an operations environment

Real operations

Data that is part of the teams’ routine

Technology only creates value when it reaches day-to-day work. We train teams, design monitoring routines, and keep indicators accessible to those who operate, sell, buy, and decide.

  • A monitoring routine defined with each area.
  • Indicators accessible on mobile and desktop.
  • Continuous evolution after implementation.

The starting point

When information
doesn’t arrive whole.

Growth tends to reveal what used to fit into improvisation. We find the leaks and build a foundation that keeps up with the next step.

01

Scattered data

Spreadsheets, systems, and people hold different pieces of the same story.

02

Fragile indicators

Important numbers depend on manual checking and too much trust.

03

Constant rework

The team repeats tasks that could free up energy for what matters.

04

A short-sighted view

Without context, it is hard to anticipate scenarios and choose a direction.

What we build

Data that works
for the business.

From source to decision, we connect people, processes, and technology with pragmatism. The right solution starts with the outcome you need to see.

01

Connect

Operations and data sources in a continuous flow.

Integrations · Pipelines
02

Organize

A clear, governed foundation ready to grow.

Quality · Governance
03

Understand

Reliable indicators for real questions.

BI · Dashboards
04

Anticipate

Analytics that turn history into the next move.

AI · Machine learning

Capabilities catalog

Search by
your challenge.

Explore workstreams and find the point where we can start.

06 workstreams01 intention: clarity

How we start

Clarity before
complexity.

  1. 01

    Understanding

    We listen to the current scenario, the friction points, and the decision that needs to become easier.

  2. 02

    Mapping

    We identify sources, opportunities, and the possible paths for the data.

  3. 03

    Priority

    We choose the highest-value initiative, without turning everything into a project.

  4. 04

    Evolution

    We implement, measure, and keep improving alongside the business.

R↗

A proprietary view

Radar to reveal
where to act first.

Radar is our software for creating maps of data opportunities: a shared view of what exists, what is missing, and what can move the business.

Talk about Radar ↗

Let’s talk

A better decision
starts with a question.

Tell us what is blocking the next step. In a first conversation, we organize the scenario and the possibilities together.

admin@oficialdados.com.br ↗