The challenge proposed by the Techsprint focused on building solutions capable of expanding financial inclusion, improving transparency, and supporting decision-making through technology.
The Brazilian financial landscape presents significant regional disparities, where access to banking services is limited in certain areas. The core mission of Geo3 was to address this issue by transforming raw data into accessible and meaningful insights.
Challange
The challenge proposed by the Techsprint focused on building solutions capable of expanding financial inclusion, improving transparency, and supporting decision-making through technology. The Brazilian financial landscape presents significant regional disparities, where access to banking services is limited in certain areas. The core mission of Geo3 was to address this issue by transforming raw data into accessible and meaningful insights.
Solution
Geo3 was conceived as a digital platform that uses geospatial technology to identify underserved regions and map patterns of financial inclusion across the country. By integrating open APIs, public datasets, and financial information, the platform delivers an interactive dashboard that allows regulators and institutions to visualize real-time data and anticipate future needs. The solution bridges the gap between financial data and geographic reality, making it possible to design more effective public policies and business strategies.
Impact
The potential impact of Geo3 spans across society, government, and the private sector. For society, it promotes fairer access to financial services by highlighting underserved communities. For regulators, it provides the intelligence needed to design targeted policies that foster inclusion and economic growth. For the market, it encourages innovation and competitiveness, enabling banks and fintechs to expand their services with greater precision and sustainability.
Technologies
The development of Geo3 relied on geospatial information systems, open data integration, interactive dashboards, and predictive analysis models. These technologies were combined to create a scalable solution capable of adapting to the evolving needs of the Brazilian financial system.
