Enterprise Architecture Model for the Mortgage Loan Lending Process in a Financial Institution Using TOGAF

Descripción del Articulo

Mortgage loans in financial institutions have evolved thanks to digital transformation, employing emerging technologies to streamline their processes, enhance customer service, and improve the customer experience. This research presents an enterprise architecture considering the development of its t...

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Detalles Bibliográficos
Autores: Flores-Chavez, Oscar Alonso, Falen-Salazar, Andrei Alonso, Herrera-Trujillo, Emilio Antonio
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/676082
Enlace del recurso:http://hdl.handle.net/10757/676082
Nivel de acceso:acceso embargado
Materia:Banking
Business Processes
Credit
Delphi
Enterprise Architecture
Mortgage Loan
Optimization
TOGAF
Descripción
Sumario:Mortgage loans in financial institutions have evolved thanks to digital transformation, employing emerging technologies to streamline their processes, enhance customer service, and improve the customer experience. This research presents an enterprise architecture considering the development of its three domains: business, applications, and technology, for the financial institution under study. Additionally, we present technological solutions to manage customer verification, pre-qualification, credit assessment, and property evaluation. The proposal and its technological solutions include the enhancement of the mortgage loan lending process in terms of management, reduction of manual tasks, in-person activities at branches, and document submission for credit and property evaluation. In this regard, we use TOGAF and its ADM development methodology. Finally, the model was evaluated based on 5 dimensions with a panel of experts using the Delphi technique, resulting in a 94% acceptance level and a total of 17 items that achieved a high level of consensus. This indicates that the implementation of the model will help optimize the mortgage loan process.
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