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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| Formato: | Artículo |
| Lenguaje: | español |
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2025
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| _version_ | 1881700491658788864 |
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| author | Denis Cesar Fasanando-Trigoso Yngue Elizabeth Ramírez-Pezo George Brayam Murrieta-Patow |
| author_browse | Denis Cesar Fasanando-Trigoso George Brayam Murrieta-Patow Yngue Elizabeth Ramírez-Pezo |
| author_facet | Denis Cesar Fasanando-Trigoso Yngue Elizabeth Ramírez-Pezo George Brayam Murrieta-Patow |
| author_sort | Denis Cesar Fasanando-Trigoso |
| collection | Producción científica |
| description | 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. |
| format | Article |
| id | openalex:W4414189171 |
| institution | UPeU |
| language | Spanish |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | openalex:W4414189171Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la LiteraturaDenis Cesar Fasanando-TrigosoYngue Elizabeth Ramírez-PezoGeorge Brayam Murrieta-Patowbusiness intelligencedecision-makingdata-driven decision makingPower BITableauPentahodigital transformationtechnology acceptance modeltechnology-organization-environment frameworkdata qualityresistance to changedata-driven culturecybersecurity risksimplementation costsLatin AmericaBig Data and Business IntelligenceCompetitive and Knowledge IntelligenceDecision Support System ApplicationsBusiness 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.Articlehttps://doi.org/10.55873/rad.v4i2.370https://revistas.unamad.edu.pe/index.php/rad/article/download/370/726W4414189171esRevista Amazonía Digital2810-87012025-07-25 |
| spellingShingle | 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 Denis Cesar Fasanando-Trigoso Yngue Elizabeth Ramírez-Pezo George Brayam Murrieta-Patow Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title | Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title_full | Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title_fullStr | Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title_full_unstemmed | Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title_short | Impacto de la Inteligencia de Negocios en la Mejora de la Toma de Decisiones una Revisión Sistemática de la Literatura |
| title_sort | impacto de la inteligencia de negocios en la mejora de la toma de decisiones una revision sistematica de la literatura |
| topic | 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 |
| topic_facet | 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 |
| url | https://doi.org/10.55873/rad.v4i2.370 https://revistas.unamad.edu.pe/index.php/rad/article/download/370/726 |
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