Optimization Impact of Business Intelligence on Improving Decision Making: A Systematic Review of the Literature
DOI:
https://doi.org/10.55873/rad.v4i2.370Keywords:
Business Intelligence (BI), Data-driven, Decision-making, Analytical tools, Technological adoptionAbstract
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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Copyright (c) 2025 Denis Cesar Fasanando-Trigoso, Yngue Elizabeth Ramírez-Pezo
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