Aplicación de la Inteligencia de Negocios en la toma de decisiones institucionales: un estudio basado en los prontuarios estadísticos del TecNM en Sinaloa

Mariano de Jesús Avilés Torres; Ramón Valenzuela Edeza; Alfonso Miguel Uriarte Gálvez; Christian Marcel López Nieblas; Rito Leonel Parra Burgos

doi:10.61273/neyart.v4i1.208

Authors

Mariano de Jesús Avilés Torres National Technological Institute of Mexico
Ramón Valenzuela Edeza National Technological Institute of Mexico
Alfonso Miguel Uriarte Gálvez National Technological Institute of Mexico
Christian Marcel López Nieblas National Technological Institute of Mexico
Rito Leonel Parra Burgos National Technological Institute of Mexico

DOI:

https://doi.org/10.61273/neyart.v4i1.208

Keywords:

Data, Decision-making, Educational statistics, Higher education, Management information systems, Sinaloa

Abstract

This article presents an applied study of Business Intelligence (BI) in the institutional management of the campuses of the National Technological Institute of Mexico (TecNM) located in Sinaloa. Based on official statistical records, a dashboard was developed with key indicators: enrollment, graduates, degree holders, teaching staff, and non-teaching staff. The methodology combined techniques of data integration and cleaning, aggregation by academic cycle and institution, and interactive visualization in a panel with filters by campus and period. The objective was to demonstrate how the systematic use of BI can transform static reports into actionable knowledge to support decision-making. The results show differentiated enrollment trends by cycle, a variable gap between graduates and degree holders, and student–teacher ratios that suggest the need for redistribution of academic workload and strengthening of support for degree completion. The discussion links these findings to educational analytics frameworks, pointing to benefits in planning, terminal efficiency, and transparency. As contributions, the study proposes a reproducible workflow with standardized data sources, a scheme of priority indicators, and strategic recommendations for continuous improvement in the management of TecNM in Sinaloa. Future lines of work include incorporating variables of learning and student satisfaction, evaluating budgetary impact, and extending the system to other states.

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