Implementation of a business intelligence model for SMES using microservices
DOI:
https://doi.org/10.61117/ipsumtec.v8i1.356Keywords:
Data Analysis, Business Intelligence, Microservices, SMEs, RESTAbstract
This article proposes the feasibility of developing a business intelligence model for SMEs through web technologies, a microservices architecture, and Python for data analysis. The structure is based on the use of web services following the REST (Representational State Transfer) architecture, allowing adaptable integration of applications and data through autonomous microservices. The proposed architecture is grounded in the use of web technologies, ensuring an intuitive and user-friendly experience and compatibility between systems. Python was selected for its adaptability and dedicated data science libraries, facilitating data analysis to help small and medium-sized enterprises transform data into strategic information to improve processes and gain a competitive advantage.
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Copyright (c) 2025 Javier Romero Castro , Víctor Manuel Arias Peregrino, Dulce María León de la O , Hugo Del Ángel Delgado , María de la Luz Valdez Ramos

This work is licensed under a Creative Commons Attribution 4.0 International License.
