¿Cuán experimentales y estratégicas son las aplicaciones de Inteligencia Empresarial (BI) y Minería de Datos?

Autores/as

DOI:

https://doi.org/10.5585/riae.v21i1.17689

Palabras clave:

Alineamiento estratégico, Business Intelligence, Data Mining, Minería de datos, Procesamiento de datos, Data science, Ciencia de los datos.

Resumen

Objetivo del trabajo: Identificar y caracterizar las metodologías utilizadas para el desarrollo experimental de aplicaciones inteligentes alineadas con la planificación estratégica.

Metodología: Se realizó un mapeo sistemático para caracterizar la investigación en el área, considerando los últimos diez años.

Originalidad: No se encontraron estudios científicos con el mismo objeto de investigación de este artículo, para identificar y caracterizar las metodologías para el desarrollo experimental de aplicaciones inteligentes alineadas con la planificación estratégica, lo que aumenta la importancia de los resultados presentados aquí.

Principales resultados: Como resultado, no se encontraron estudios que presentaran un enfoque completo para disciplinar la alineación estratégica y la experimentación, proporcionando un cumplimiento claro de los objetivos estratégicos y una fase experimental en la validación de los resultados. Sin embargo, algunos ensayos de partes de estas características podrían mapearse, como la experimentación encontrada en el 28,57% de los estudios. Entre los países, China, Estados Unidos y Brasil lideraron el ranking de publicaciones sobre el tema. En cuanto al medio de publicación, Journal fue la opción más utilizada para la publicación. Además, la "IEEE International Conference on Advanced Communications, Control and Computing Technologies" y la revista "Expert Systems with Applications" se destacaron como las principales editoriales.

Contribuciones teóricas: Esta investigación presenta resultados relevantes para la academia y los empresarios, y proporciona evidencia de que existe una brecha en la investigación de un método formal para el desarrollo experimental de aplicaciones de BI y minería de datos centradas en la planificación estratégica de una organización. Además, este trabajo se presenta como una fuente de consulta a los estándares de métodos existentes para el desarrollo de aplicaciones inteligentes, además de ser replicable y extendido por la sistematización aplicada. Finalmente, hay un enfoque en la investigación que propone métodos para crear aplicaciones experimentales validadas experimentalmente y alineadas con la estrategia.

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Biografía del autor/a

Rodrigo Fontes Cruz, Universidade Federal de Sergipe

Mestre em Ciência da Computação
Universidade Federal de Sergipe – UFS.

Methanias Colaço Júnior, Universidade Federal de Sergipe

Doutor em Ciência da Computação – Pós Doutor em Gestão
Universidade Federal de Sergipe – UFS.

Victor Menezes Gois, Universidade Federal de Sergipe

Bacharel em Sistemas de Informação
Universidade Federal de Sergipe – UFS.

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Publicado

2022-05-19

Cómo citar

Cruz, R. F., Colaço Júnior, M., & Gois, V. M. (2022). ¿Cuán experimentales y estratégicas son las aplicaciones de Inteligencia Empresarial (BI) y Minería de Datos?. Revista Ibero-Americana De Estratégia, 21(1), e17689. https://doi.org/10.5585/riae.v21i1.17689