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Data and artificial intelligence

Dashboards and KPIs

Your whole operation on one screen: what lives today in several systems and spreadsheets, brought together into up-to-date indicators so you can decide without waiting for the report.

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Sound familiar?

You have data, but you can't see it when you need it. Every meeting starts by asking for the number and ends debating where it came from. And the consolidated report arrives after the decision is already made.

  • KPIs each team calculates its own way
  • Reports that arrive late, after the decision is made
  • Pretty dashboards that don't answer the real questions
  • Valuable information stuck in systems no one queries

How we approach it

We start from the questions you need answered, not the available data. We design dashboards that get used every Monday — not dashboards that get inaugurated and forgotten.

01

Questions before dashboards

We list with you the decisions being made and the indicators that inform them.

02

A single source of truth

We define how each indicator is calculated and unify the data so everyone looks at the same figure.

03

Decision-oriented design

Each visualization answers a concrete question — no ornamental charts.

04

Operation and evolution

We iterate based on real use. Unused dashboards get removed.

What we deliver

  • Consolidated data model for your indicators
  • Auditable ingestion and transformation pipelines
  • Role-based dashboards: leadership, operations and each team
  • Documentation of every indicator: what it measures, how it's calculated, where it comes from
  • Automatic alerts for relevant deviations
  • Training so your team can read and maintain the dashboards

For your technical team

Reproducible ETL/ELT processes, a data warehouse or data marts depending on scale, a semantic layer with single indicator definitions, and dashboards decoupled from logic so the same data serves multiple views.

Versioned, orchestrated, auditable ETL/ELT processesData warehouse and dimensional modeling sized to scaleSemantic layer with single indicator definitionsData-quality monitoring inside the pipelineActionable alerts via email, chat or app

Technologies we use

Python
PostgreSQL
OpenSearch
Power BI
DAX
Grafana
Apache Superset
pandas
Python
PostgreSQL
OpenSearch
Power BI
DAX
Grafana
Apache Superset
pandas

Where we apply this service

Health

Systems for hospitals, ministries and healthcare networks: clinical records, epidemiological surveillance, program management, territorial KPIs.

Risk management

Solutions for prevention, monitoring and response to emergencies: territorial intelligence, early indicators, inter-agency coordination.

Environment and sustainability

Systems for environmental monitoring, forestry management, enforcement and impact reporting. Reliable data for both policy and operations.

Higher education

Academic systems, learning platforms at scale, and portals for universities. Not corporate training: academic institutions with thousands of students.

Private enterprise

For corporations and mid-market companies that need solid internal systems: automation, supplier integrations, executive dashboards, field apps.

Is leadership flying blind?

We build the dashboard used every Monday at 9 — not the pretty one in the annual deck.

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