Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura
The article presents a systematic review on the use of predictive data analytics for optimizing business strategies, highlighting how this tool enables companies to anticipate trends, improve strategic decision-making, and enhance operational efficiency. However, the study highlights significant cha...
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| Formato: | Artículo |
| Lenguaje: | español |
| Publicado: |
2025
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| Acceso en línea: | Enlace permanente (DOI o Handle) Descargar el archivo |
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| _version_ | 1881700491561271296 |
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| author | Marco Alejandro Ríos-Cuadros Boris Jean Piere Gonzáles-Rivera Divaldo Etsuo Medina-Coaquira Yngue Elizabeth Ramírez-Pezo |
| author_browse | Boris Jean Piere Gonzáles-Rivera Divaldo Etsuo Medina-Coaquira Marco Alejandro Ríos-Cuadros Yngue Elizabeth Ramírez-Pezo |
| author_facet | Marco Alejandro Ríos-Cuadros Boris Jean Piere Gonzáles-Rivera Divaldo Etsuo Medina-Coaquira Yngue Elizabeth Ramírez-Pezo |
| author_sort | Marco Alejandro Ríos-Cuadros |
| collection | Producción científica |
| description | The article presents a systematic review on the use of predictive data analytics for optimizing business strategies, highlighting how this tool enables companies to anticipate trends, improve strategic decision-making, and enhance operational efficiency. However, the study highlights significant challenges, particularly in managing large, unstructured data sets and ensuring their seamless integration into existing business processes. The need for advanced computational resources and technical expertise is also noted as a barrier to widespread adoption. Despite these obstacles, predictive analytics remains a key tool for businesses aiming to achieve competitive advantages in an increasingly data-driven market. The review is based on a search of databases such as Scopus, Web of Science and IEEE, resulting in the selection of 15 key studies. The article concludes that, while predictive analytics holds reat potential to enhance business performance, it still faces challenges related to data integration and technological infrastructure. |
| format | Article |
| id | openalex:W4414183992 |
| institution | UPeU |
| language | Spanish |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | openalex:W4414183992Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literaturaMarco Alejandro Ríos-CuadrosBoris Jean Piere Gonzáles-RiveraDivaldo Etsuo Medina-CoaquiraYngue Elizabeth Ramírez-Pezopredictive analyticsstrategic decision-makingoperational efficiencytrend forecastingunstructured data managementdata integrationtechnological barrierscompetitive advantagefirm performanceBig Data and Business IntelligenceImpact of AI and Big Data on Business and SocietyCompetitive and Knowledge IntelligenceThe article presents a systematic review on the use of predictive data analytics for optimizing business strategies, highlighting how this tool enables companies to anticipate trends, improve strategic decision-making, and enhance operational efficiency. However, the study highlights significant challenges, particularly in managing large, unstructured data sets and ensuring their seamless integration into existing business processes. The need for advanced computational resources and technical expertise is also noted as a barrier to widespread adoption. Despite these obstacles, predictive analytics remains a key tool for businesses aiming to achieve competitive advantages in an increasingly data-driven market. The review is based on a search of databases such as Scopus, Web of Science and IEEE, resulting in the selection of 15 key studies. The article concludes that, while predictive analytics holds reat potential to enhance business performance, it still faces challenges related to data integration and technological infrastructure.Articlehttps://doi.org/10.55873/rad.v4i1.365https://revistas.unamad.edu.pe/index.php/rad/article/download/365/733W4414183992esRevista Amazonía Digital2810-87012025-01-30 |
| spellingShingle | predictive analytics strategic decision-making operational efficiency trend forecasting unstructured data management data integration technological barriers competitive advantage firm performance Big Data and Business Intelligence Impact of AI and Big Data on Business and Society Competitive and Knowledge Intelligence Marco Alejandro Ríos-Cuadros Boris Jean Piere Gonzáles-Rivera Divaldo Etsuo Medina-Coaquira Yngue Elizabeth Ramírez-Pezo Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title | Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title_full | Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title_fullStr | Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title_full_unstemmed | Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title_short | Análisis predictivo de datos en la optimización de estrategias empresariales: Una revisión sistemática de la literatura |
| title_sort | analisis predictivo de datos en la optimizacion de estrategias empresariales una revision sistematica de la literatura |
| topic | predictive analytics strategic decision-making operational efficiency trend forecasting unstructured data management data integration technological barriers competitive advantage firm performance Big Data and Business Intelligence Impact of AI and Big Data on Business and Society Competitive and Knowledge Intelligence |
| topic_facet | predictive analytics strategic decision-making operational efficiency trend forecasting unstructured data management data integration technological barriers competitive advantage firm performance Big Data and Business Intelligence Impact of AI and Big Data on Business and Society Competitive and Knowledge Intelligence |
| url | https://doi.org/10.55873/rad.v4i1.365 https://revistas.unamad.edu.pe/index.php/rad/article/download/365/733 |
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