Methodology for Business Intelligence Solutions in Internet Banking Companies

Abstract

Business intelligence in the banking industry has been studied extensively in the last decade; however, business executives still do not perceive efficiency in the decision-making process since the management and treatment of information are very timeconsuming for the deliverer, generating costs in the process. On the other hand, there is no formal methodology for developing business intelligence solutions in this sector. This work aims to optimize decision-making in a business unit that works with internet banking companies, reducing the time, the number of people, and the costs involved in decision-making. To meet the objective, basic and applied research was conducted. The basic research allowed the construction of a new methodology from a study of critical success factors and approaches from the business intelligence literature. The applied research involved the implementation of a business intelligence solution applying the new methodology in a pre-experimental study. Thirty decision-making processes were analyzed using pre-test and post-test data. Tools such as a stopwatch and observation were used to collect and record data on time spent, the number of people, and the decision-making costs. This information was processed in the specialized Minitab18 statistical software, which allowed the observation and confirmation of relevant results regarding time reduction, the number of people, and the costs generated. Therefore, it was concluded that the business intelligence solution, applying the new methodology, optimized decision making in the business unit that works with internet banking for companies.

Metodologías para la construcción de soluciones de inteligencia de negocios

“…Por su parte Viteri et al, (2022) plantean una "una nueva metodología para la inteligencia de negocios en banca por internet" para la industria bancaria y financiera que como ya se mencionó en la introducción, buscan proporcionar información que dinamice el proceso de toma de decisiones. Para definir la nueva metodología se tomaron en cuenta factores críticos que influyen en el desarrollo de la solución como las herramientas de software y sistemas de inteligencia de negocios.…”

“…Según Duque et al (2021) las organizaciones dependen cada vez más de las soluciones de inteligencia de negocios para extraer, transformar, procesar y organizar los datos. Ello nos permite afirmar lo importante que es aplicar metodologías adecuadas para desarrollar estas soluciones que ayuden a agilizar y a hacer más eficiente el proceso de toma de decisiones (Viteri et al, 2022). Por su parte, Cruz et al (2022) detallan la aplicación de la metodología de Hefesto V2.0 como guía para el desarrollo de su solución que proporciona información relevante y precisa para los directivos, seguir la metodología garantiza una implantación exitosa.…”