Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura

Business Intelligence (BI) has become a key driver of digital transformation by enabling organizations to turn large volumes of data into faster, more accurate, and strategically informed decisions. This systematic review examines its impact on organizational management, highlighting tools such as P...

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Autores principales: Denis Cesar Fasanando-Trigoso, Yngue Elizabeth Ramírez-Pezo, George Brayam Murrieta-Patow
Formato: Artículo
Lenguaje:español
Publicado: 2025
Materias:
business intelligence
decision-making
data-driven decision making
Power BI
Tableau
Pentaho
digital transformation
technology acceptance model
technology-organization-environment framework
data quality
resistance to change
data-driven culture
cybersecurity risks
implementation costs
Latin America
Big Data and Business Intelligence
Competitive and Knowledge Intelligence
Decision Support System Applications
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Sumario:Business Intelligence (BI) has become a key driver of digital transformation by enabling organizations to turn large volumes of data into faster, more accurate, and strategically informed decisions. This systematic review examines its impact on organizational management, highlighting tools such as Power BI, Tableau, and Pentaho. Power BI dominates in Latin America due to its accessibility and integration, Tableau excels in advanced visualization, and Pentaho offers flexibility through open source, although most literature remains focused on Power BI. The study applies frameworks such as Data-Driven Decision Making (DDDM), the Technology Acceptance Model (TAM), and the TOE approach to explain adoption across technological, organizational, and environmental factors. Despite clear benefits, challenges persist, including resistance to change, limited analytical skills, poor data quality, high implementation costs, and cybersecurity risks. Recommended strategies include specialized training, investment in scalable infrastructure, and promoting a data-driven culture to ensure BI becomes a sustainable competitive advantage.

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