@inproceedings{9e578b59131e449fac45c2d59f43298e,
title = "Sistema de Informaci{\'o}n para la medici{\'o}n del Riesgo de Cr{\'e}dito en Entidades Financieras",
abstract = "The measurement of credit risk is a major concern for financial institutions that are dedicated to placing resources and therefore, require elements that allow them to perform analysis and monitoring of the evolution of the credit behavior of their clients, in this way they can minimize future losses. In order to provide tools that support companies has developed the Credit Risk Management Information System that allows the calculation of the probability of default of customers through transition matrices. This tool is useful for a company in the financial and solidarity sector that allows them to manage credit risk more efficiently.",
keywords = "Credit risk, Software engineering, Transition matrices",
author = "Aguilar, {Diana Guzm{\'a}n} and G{\'o}mez, {Luis Fernando Montes} and Londo{\~n}o, {David Alberto Bedoya} and Zuluaica, {Camilo Adrian}",
note = "Publisher Copyright: {\textcopyright} 2019 AISTI.; 14th Iberian Conference on Information Systems and Technologies, CISTI 2019 ; Conference date: 19-06-2019 Through 22-06-2019",
year = "2019",
month = jun,
day = "1",
doi = "10.23919/CISTI.2019.8760607",
language = "Espa{\~n}ol",
series = "Iberian Conference on Information Systems and Technologies, CISTI",
publisher = "IEEE Computer Society",
editor = "Ramiro Goncalves and Isabel Pedrosa and Cota, {Manuel Perez} and Alvaro Rocha",
booktitle = "Proceedings of CISTI 2019 - 14th Iberian Conference on Information Systems and Technologies",
address = "Estados Unidos",
}