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Geospatial Analysis To Inform Financial Inclusion Policies


Context and issues

Banca de las Oportunidades commissioned Masae to understand the gaps in the Cash-in Cash-out (CICO) agent networks of Colombia so they can in turn inform policy makers and sectorial stakeholders working on addressing those gaps.


Masae built and geocoded a dataset of banking agents by scraping main Colombian financial institutions websites.

The teams performed exploratory data and correlation analysis to evaluate the levels of financial inclusion within each administrative area.

Masae also developed a white-spot identification methodology to identify regions where underserved populations live.


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