In partnership with MIT Media Lab and UFRGS, we built a global data platform that puts microregion economic intelligence in the hands of decision-makers. The challenge was to bring reliable, granular data to underserved regions — easily, freely and at scale. We delivered a modular platform: interactive, multiscale visualization on the front end, and a robust backoffice for the technical team to manage models, variables, sources and users.
| Indicator | Before | After | Δ |
|---|---|---|---|
| Data granularity | States / capitals | Microregions | — |
| Access to economic data | Restricted / scattered | Open and free | — |
| Coverage | — | National scale | — |
| Adding new indicators / sources | Rigid | Modular structure | — |
Public data sources ──► Backoffice (management · dynamic APIs) ──► API │ └─► Models · variables · classifications └─► DataViz (multiscale map) ──► Compare by territory · AI assistant
Good economic data exists — but it's almost always stuck at the state or capital level, far from those who decide on the ground. The challenge wasn't collecting it; it was democratizing it. Bringing granular, reliable, free indicators to underserved microregions, in a format that governments, NGOs and small entrepreneurs can use without being data scientists.
We built the platform on two layers that hold each other up. On the front, DataViz: interactive, multiscale visualization to query economic and social indicators with performance and fluidity, comparing territories in seconds. Underneath, the Backoffice: the operational hub for the UFRGS/MIT technical team, with full management of models, variables, sources and users and dynamic APIs — designed for modular expansion.
The result is democratic access to economic data at national scale, enabling more assertive decisions by governments, NGOs and local entrepreneurs. The backoffice came out robust and scalable, with fast response times and a modular structure for new indicators and sources — a new approach to reading data on an architecture built to grow.
Same Diagnosis structure: 3–5 weeks, locked scope, measurable KPI. Talk directly to a partner.