Title
Data science model for the evaluation of customers of rural savings banks without credit history
Date Issued
01 October 2019
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The Data Science Model for the evaluation of clients of rural savings banks seeks to increase the credits granted to potential clients with or without a credit history and who possess or lack income and expense support. The evaluation consists of entering your identity document at the risk centers, measuring your income, expenses with or without supporting documents. Pilot tests were conducted in one of the agencies of the rural saving bank Edpyme Raiz for 3 weeks, obtaining favorable results and increasing from 10 to 30% the number of credits obtained per official when using the evaluation model and, if not, when the The result of the evaluation of the client is not favorable, it is suggested some recommendations to be able to approve again.
Start page
329
End page
334
Language
Spanish
OCDE Knowledge area
Negocios, Administración
Scopus EID
2-s2.0-85078129279
Resource of which it is part
Proceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019
ISBN of the container
978-172811691-4
Conference
7th International Engineering, Sciences and Technology Conference, IESTEC 2019
Sources of information: Directorio de Producción Científica Scopus