The impact of big data on strategic business decision-making

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Génesis Daniela Torres-Galves
Mariela Stephany Gruezo-Realpe
Luis Gonzalo Borja-Almeida

Abstract

The expansion of big data has transformed data into a strategic business resource; however, gaps in infrastructure, talent, governance, and digital maturity continue to limit its use in Latin America. This study aimed to analyze the impact of big data on strategic business decision-making, considering decision quality, competitive advantage, determining factors, and regional risks. An exploratory literature review was conducted using scientific literature, academic books, technical reports, and institutional documents published mainly between 2012 and 2025. Sources were examined through exploratory reading, thematic categorization, a synthesis matrix, and documentary triangulation. The results showed that big data promotes more timely, traceable, and predictive decisions while strengthening efficiency, innovation, and competitive responsiveness. Nevertheless, these benefits depend on data quality and relevance, strategic alignment, analytical competencies, organizational culture, and responsible governance. The discussion revealed that technology does not replace managerial judgment and may reproduce biases, opacity, and inequalities. It is concluded that big data generates sustainable value when integrated as an ethical and context-sensitive organizational capability supported by adequate technical and human resources.

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Torres-Galves, G. D., Gruezo-Realpe, M. S., & Borja-Almeida, L. G. (2024). The impact of big data on strategic business decision-making. Scientific Journal Perspectives on Knowledge, 1(3), 42-60. https://doi.org/10.55813/gaea/revistacec/v1/n3/19

References

Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131. https://doi.org/10.1016/j.ijpe.2016.08.018

Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104, 671–732. https://doi.org/10.2139/ssrn.2477899

Bonilla Bonilla, M. A. (2023). Oposición real y contradicción; acerca de la noción de antagonismo por Ernesto Laclau. Journal of Economic and Social Science Research, 3(3), 39–51. https://doi.org/10.55813/gaea/jessr/v3/n3/72

Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decisionmaking affect firm performance? SSRN. https://doi.org/10.2139/ssrn.1819486

Casanova-Villalba, C. I., Herrera-Sánchez, M. J., & Proaño-González, E. A. (2023). Impacto de la analítica predictiva en la toma de decisiones gerenciales. Revista Científica Ciencia Y Método, 1(3), 16-30. https://doi.org/10.55813/gaea/rcym/v1/n3/17

Casanova-Villalba, C. I., Herrera-Sánchez, M. J., Lopez-Pincay, P. R., & Rivera-Guerrero, A. L. (2024). Transparencia contable y su relación con la confianza de los inversionistas. Innova Science Journal, 2(2), 1-14. https://doi.org/10.63618/omd/isj/v2/n2/34

Cathles, A., Suaznábar, C., & Vargas, F. (2022). The 360° on digital transformation in firms in Latin America and the Caribbean. Inter-American Development Bank.

CEPAL. (2024, 6 de noviembre). A real and effective digital transformation can help Latin America and the Caribbean overcome the traps hindering its development. https://www.cepal.org/en/pressreleases/real-and-effective-digital-transformation-can-help-latin-america-and-caribbean

CEPAL. (2024). Superar las trampas del desarrollo de América Latina y el Caribe en la era digital: El potencial transformador de las tecnologías digitales y la inteligencia artificial. Comisión Económica para América Latina y el Caribe. https://conferenciaelac.cepal.org/9/sites/elac9/files/s2401013_es.pdf

Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188. https://doi.org/10.2307/41703503

Franco-Coello, M. R., Sandoval-Cuji, M. M., & Recalde-Aguilar, L. M. (2026). Optimización estocástica mediante modelos de riesgo GARCH-Cox para mitigar la quiebra de las pymes agrícolas en las economías emergentes. Journal of Economic and Social Science Research, 6(2), 113-131. https://doi.org/10.55813/gaea/jessr/v6/n2/244

Ghasemaghaei, M., & Calic, G. (2019). Can big data improve firm decision quality? The role of data quality and data diagnosticity. Decision Support Systems, 120, 38–49. https://doi.org/10.1016/j.dss.2019.03.008

Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of Business Research, 108, 147–162. https://doi.org/10.1016/j.jbusres.2019.09.062

Ghasemaghaei, M., Ebrahimi, S., & Hassanein, K. (2018). Data analytics competency for improving firm decision making performance. The Journal of Strategic Information Systems, 27(1), 101–113. https://doi.org/10.1016/j.jsis.2017.10.001

Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004

Herrera-Sánche, M. J., Casanova-Villalba, C. I., & Jacome-Vélez, T. G. (2024). Transformación digital en la banca y su efecto en la experiencia del cliente. Revista Científica Ciencia Y Método, 2(1), 1-13. https://doi.org/10.55813/gaea/rcym/v2/n1/27

Herrera-Sánchez, M. J., & Casanova-Villalba, C. I. (2024). Inteligencia artificial y su impacto en la transformación de la gestión financiera. Space Scientific Journal of Multidisciplinary, 2(1), 52-64. https://doi.org/10.63618/omd/ssjm/v2/n1/43

Herrera-Sánchez, M. J., Casanova-Villalba, C. I., Concha-Ramirez, J. A., & López-Pérez, P. J. (2024). Impacto de la inteligencia artificial en los procesos de auditoría contable. Innova Science Journal, 2(1), 1-14. https://doi.org/10.63618/omd/isj/v2/n1/28

Jara-Álvarez, G. X., Salgado-Ortiz, P. J., Santander-Salmon, E. S., & Quiñonez-Cabeza, B. M. (2024). Estrategias de diversidad e inclusión en procesos de reclutamiento asistidos por IA. Revista Científica Ciencia Y Método, 2(4), 50-62. https://doi.org/10.55813/gaea/rcym/v2/n4/53

Lopez-Mallama, O. M., Lemos-Muñoz, A. J., & Córdova-Ardila, Y. P. (2023). Protección Social en la Región Caribe de Colombia: una Mirada desde la Equidad en 2021. Journal of Economic and Social Science Research, 3(3), 13–24. https://doi.org/10.55813/gaea/jessr/v3/n3/70

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Journal of Business Research, 98, 261–276. https://doi.org/10.1016/j.jbusres.2019.01.044

Prado-Chinga, A. E. (2024). Evolución de las Prácticas de Gestión Corporativa: Tendencias y Desafíos Actuales. Revista Científica Zambos, 3(3), 15-29. https://doi.org/10.69484/rcz/v3/n3/55

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 51–59. https://doi.org/10.1089/big.2013.1508

Reinsel, D., Gantz, J., & Rydning, J. (2018). The digitization of the world: From edge to core. IDC/Seagate. https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf

Sarmiento-Martínez, R. G. (2024). Estrategias de Gestión para la Optimización del Tránsito Urbano en el Cantón La Concordia: Desafíos y Oportunidades. Revista Científica Zambos, 3(3), 64-77. https://doi.org/10.69484/rcz/v3/n3/54

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009