Condiciones óptimas para implementar Business Intelligence en la productividad de MIPYMES: caso de estudio en restaurantes
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Date
2025-05-26
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Universidad Tecnológica Centroamericana UNITEC
Abstract
Esta investigación es de carácter descriptivo-exploratorio, enfocándose en analizar las condiciones óptimas para la implementación de Business Intelligence en MIPYMES del sector restaurantero en San Pedro Sula, Honduras. El aspecto descriptivo detalla las condiciones actuales, los procesos y las percepciones relacionadas con el uso de Business Intelligence, mientras que el enfoque exploratorio busca identificar nuevas relaciones o patrones sobre el impacto de estas herramientas en la productividad, eficiencia y toma de decisiones. Los hallazgos revelan que la implementación de Business Intelligence puede optimizar la gestión de inventarios, mejorar el análisis de ventas y personalizar la experiencia del cliente, factores que contribuyen directamente a la competitividad del negocio. Sin embargo, también se identifican desafíos, como la falta de infraestructura tecnológica y la necesidad de capacitación del personal. Como resultado, se propone una guía práctica de recomendaciones para la implementación de Business Intelligence, la cual incluye pasos específicos desde la selección de herramientas accesibles hasta el establecimiento de indicadores clave de desempeño propuestos (KPIs) alineados con los objetivos estratégicos del restaurante. Esta propuesta busca no solo aumentar la productividad y sostenibilidad de las MIPYMES, sino también aportar información novedosa en un área poco estudiada en Honduras este contexto particular.
This research is of a descriptive-exploratory nature, focusing on analyzing the optimal conditions for the implementation of Business Intelligence in MSMEs in the restaurant sector in San Pedro Sula, Honduras. The descriptive aspect details the current conditions, processes, and perceptions related to the use of BI, while the exploratory approach seeks to identify new relationships or patterns regarding the impact of these tools on productivity, efficiency, and decision-making. The findings reveal that implementing Business Intelligence can optimize inventory management, improve sales analysis, and personalize the customer experience, factors that directly contribute to business competitiveness. However, challenges such as the lack of technological infrastructure and the need for staff training were also identified. As a result, a practical guide of recommendations for implementing Business Intelligence is proposed, including specific steps ranging from selecting accessible tools to establishing proposed key performance indicators (KPIs) aligned with the restaurant's strategic objectives. This proposal aims not only to increase the productivity and sustainability of MSMEs but also to provide novel information in an under-researched area in this particular Honduran context.
This research is of a descriptive-exploratory nature, focusing on analyzing the optimal conditions for the implementation of Business Intelligence in MSMEs in the restaurant sector in San Pedro Sula, Honduras. The descriptive aspect details the current conditions, processes, and perceptions related to the use of BI, while the exploratory approach seeks to identify new relationships or patterns regarding the impact of these tools on productivity, efficiency, and decision-making. The findings reveal that implementing Business Intelligence can optimize inventory management, improve sales analysis, and personalize the customer experience, factors that directly contribute to business competitiveness. However, challenges such as the lack of technological infrastructure and the need for staff training were also identified. As a result, a practical guide of recommendations for implementing Business Intelligence is proposed, including specific steps ranging from selecting accessible tools to establishing proposed key performance indicators (KPIs) aligned with the restaurant's strategic objectives. This proposal aims not only to increase the productivity and sustainability of MSMEs but also to provide novel information in an under-researched area in this particular Honduran context.
Keywords
Transformación Digital, Competitividad, Restaurante