XXIII. IMPLICACIONES COSTO-BENEFICIO DE APLICAR UN SISTEMA DE CRÉDITO SOCIAL A PYMES, USANDO BASES DE DATOS ABIERTOS EN COLOMBIA

Abstract

In this work, an investigation and analysis of the main challenges of the credit system in
Colombia was conducted, allowing us to compare them to propose a structure based on the
theory of Chinese Social Credit (SCS) and its approach in the management of Big Data tools.
Supported by ICTs, which allow us to monitor and predict the reliability and risk most
adapted to the reality of all users, to conduct a multicriteria analysis that allows us to observe
the multidimensional costs and benefits. Identifying variables that allow knowing and
understanding the population to offer financing products that adjust to their realities.
Colombia is a country that has made great progress in terms of financial inclusion; however,
it still has great challenges to overcome, the entities that grant credits continue to base their
decisions on traditional criteria, excluding a large group of applicants.
The financial health of people depends on the financial education they have, since it was
found that the degree of financial illiteracy that the population has is high, which prevents
access to credit.
The cost-benefit analysis that was conducted on the model as the final objective of this work
shows that the significant improvement plan conducted a high degree of investment in
research and technology, but it solves most of the challenges posed for the credit system.
Colombian and provides opportune socioeconomic welfare for entrepreneurs.