DOI:
https://doi.org/10.14483/22487638.22943Publicado:
31-12-2025Número:
Vol. 29 Núm. 86 (2025): Octubre - DiciembreSección:
RevisiónEmerging Trends in Business Intelligence: A systemic Mapping Study
Tendencias emergentes en Inteligencia de Negocios: un mapeo sistémico
Palabras clave:
business intelligence, emerging trends, systematic mapping, VOSViewer (en).Palabras clave:
inteligencia de negocios, tendencias emergentes, mapeo sistémico, VOSViewer (es).Descargas
Resumen (en)
Objective: The study aims to conduct a systematic mapping of emerging trends in business intelligence (BI) by analyzing research published between 2017 and 2024, in order to identify patterns, influential authors, key sectors, and future research opportunities.
Methodology: We used the systematic mapping methodology described by Kitchenham, including two iterations of searches in academic databases such as Scopus, IEEE Xplore, and Web of Science. The collected data (1504 studies) were analyzed using tools such as VOSviewer and Microsoft Excel, focusing on network maps, overlays, and density visualizations to interpret key patterns and relationships.
Results: The analysis revealed dominant trends such as the use of big data, machine learning, predictive analytics, and real-time BI. Geographically, Asia and the Middle East lead in publications, with strong BI adoption in sectors such as healthcare, education, and retail. Less explored areas were also identified, such as the integration of BI with the Internet of Things, advanced social network analytics, and data ethics.
Conclusions: This study concludes that BI continues to evolve towards more advanced and ethically responsible technologies, with a focus on personalization and real-time decision-making. Less explored areas represent opportunities for future research, particularly regarding data governance and the integration of BI in specific sectors. This work provides a comprehensive overview of the current state of BI research and suggests strategic directions for its development.
Resumen (es)
Objetivo: este estudio tiene como objetivo realizar un mapeo sistemático de las tendencias emergentes en inteligencia de negocios (BI), analizando investigaciones publicadas entre 2017 y 2024, para identificar patrones, autores influyentes, sectores principales y oportunidades futuras de investigación.
Metodología: se utilizó la metodología de mapeo sistemático descrita por Kitchenham, incluyendo dos iteraciones de búsqueda en bases de datos académicas como Scopus, IEEE Xplore y Web of Science. Los datos recopilados (1504 estudios) fueron analizados mediante herramientas como VOSviewer y Microsoft Excel, con énfasis en mapas de red, superposición y densidad para interpretar patrones y relaciones clave.
Resultados: el análisis reveló tendencias predominantes, como el uso de big data, machine learning, análisis predictivo y BI en tiempo real. En términos geográficos, Asia y Medio Oriente lideran en publicaciones, con una fuerte adopción de BI en sectores como salud, educación y comercio minorista. También se identificaron áreas menos exploradas, como la integración de BI con el Internet de las Cosas, la analítica avanzada de redes sociales y la ética en el manejo de datos.
Conclusiones: El estudio concluye que BI sigue evolucionando hacia tecnologías más avanzadas y éticamente responsables, con un enfoque en la personalización y la toma de decisiones en tiempo real. Las áreas menos investigadas representan oportunidades para futuras investigaciones, particularmente en la gobernanza de datos y la integración de BI en sectores específicos. Este trabajo ofrece una visión integral del estado actual de la investigación en BI y sugiere direcciones estratégicas para su desarrollo.
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