Abstract
In Atlántico, Colombia, the Departmental Health Secretariat has been proactive in promoting healthy lifestyles to prevent non-communicable diseases (NCDs), adhering to the strategies outlined in the Health Action Plan (PAS) as recommended by the Ministry of Health’s Promotion and Prevention and Epidemiology and Demography Directorates. However, the efficacy of these activities is often hampered by a reliance on external data sources or studies from regions with dissimilar health determinants. This paper highlights the role of business intelligence tools—including dimensional fact models, multidimensional databases, ETL (Extract, Transform and Load) processes, and data visualization dashboards—in enhancing local data analysis, thereby providing valuable insights for public health management and research within Atlántico. By leveraging accurate, localized data, this approach strengthens decision-making processes in NCD prevention. The study aims to ascertain the impact of a healthy diet and physical activity on preventing NCDs among Atlántico’s vulnerable populations, utilizing a confirmatory research methodology that employs observation, surveys, and interviews within the constraints of the COVID-19 pandemic. The findings underscore the critical role of diet and exercise in NCD prevention and demonstrate the efficacy of employing digital analytical tools and business intelligence to inform user-centric health interventions. This research lays the groundwork for developing evidence-based, locally tailored NCD prevention strategies, marking a significant advancement in public health initiatives in Atlántico.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Calabria-Sarmiento, J.C., et al.: Software applications to health sector: a systematic review of literature (2018)
Calabria, J.C., Pico, A., Thomas, F.: Manejo de los datos y la información mediante las tecnologías xquery, xml y XSL. Investigación e Innovación en Ingenierías 1(1) (2013)
Garcés, J.M., Fereira, J.B.: Modelo de planeación para la inversión tecnológica en centros de investigación universitarios/planning model for technological investment in university research centers. Revista Investigación e Innovación en Ingenierias 7(2), 47–62 (2019)
De la Hoz Domínguez, E.J., Herrera, T.J.F., Mendoza, A.A.M.: Machine learning and smes: Opportunities for an improved decision-making process. Investigación e Innovación en Ingenierías 8(1), 21–36 (2020)
Campuzano Hernández, M., et al.: Nuevas tendencias en investigación de operaciones y ciencias administrativas. un enfoque desde estudios iberoamericanos (2018)
Howson, C.: Successful Business Intelligence. McGraw-Hill Professional Publishing Emeryville (2007)
Medina-Quispe, F., Castillo-Rojas, W., Meneses Villegas, C.: Métricas para el apoyo de la exploración visual de componentes en modelos de minería de datos. Ingeniare. Revista chilena de ingeniería 28(4), 596–611 (2020)
Grossmann, W., Rinderle-Ma, S.: Fundamentals of business intelligence (2015)
Anandarajan, M.: Business Intelligence Techniques. Springer, Cham (2004)
Castillo Abarca, L., Vega Zepeda, V., Meneses Villegas, C.: Alineando el ciclo de vida de un proyecto con un modelo de madurez bi: Una propuesta para la etapa de análisis preliminar Ingeniare. Revista chilena de ingeniería 28(4), 629–644 (2020)
Ferrari, A., Russo, M.: Introducing Microsoft Power BI. Microsoft Press, Redmond (2016)
De Respiradores, R.D.N.U., DE Particulas, Y.T., Válvula, C.C.: Ministerio de salud y protección social bogotá, 26 de enero de 2021
Luciani, S., Nederveen, L., Martinez, R., Caixeta, R., Chavez, C., Sandoval, R.C., Severini, L., Cerón, D., Gomes, A.B., Malik, S., et al.: Noncommunicable diseases in the americas: a review of the pan american health organization’s 25-year program of work. Rev. Panam. Salud Publica 47, e13 (2023)
Escobar-Díaz, F.A., Castillo-Santana, P.T., Rodríguez-Salazar, N., Quintero-Cabezas, C.J., Castañeda-Orjuela, C.A.: Experiencias departamentales en la construcción, divulgación y uso del análisis de situación de salud, colombia 2016. Revista de Salud Pública 19, 368–373 (2017)
Eder, F., Koch, S.: Critical success factors for the implementation of business intelligence systems. Int. J. Bus. Intell. Res. (IJBIR) 9(2), 27–46 (2018)
Eryadi, R.A., Hidayanto, A.N.: Critical success factors for business intelligence implementation in an enterprise resource planning system environment using dematel: a case study at a cement manufacture company in indonesia. J. Inf. Technol. Manage. 12(1), 67–85 (2020)
Müller, J., Schuh, G., Meichsner, D., Gudergan, G.: Success factors for implementing business analytics in small and medium enterprises in the food industry. In: 2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), pp. 1–8. IEEE (2020)
Sadiku, M.N., Musa, S.M., Sadiku, M.N., Musa, S.M.: Business intelligence. A primer on multiple intelligences, pp. 177–190 (2021)
Janyapoon, S., Liangrokapart, J., Tan, A.: Critical success factors of business intelligence implementation in Thai hospitals. Int. J. Healthcare Inf. Syst. Inf. (IJHISI) 16(4), 1–21 (2021)
Awawdeh, H., Abulaila, H., Alshanty, A., Alzoubi, A.: Digital entrepreneurship and its impact on digital supply chains: the mediating role of business intelligence applications. Int. J. Data Netw. Sci. 6(1), 233–242 (2022)
Viteri, A.E., Cruzado, J.G., Huamán, L.A., Yllanes, M.R.A.: Decision making in the usability of business internet banking through a business intelligence solution. Revista Colombiana de Computación 23(2), 3 (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Calabria-Sarmiento, J.C., Meza-Gómez, A., Escorcia-Gutierrez, J. (2024). Application of Business Intelligence to Analysis of Factors for the Prevention of Non-communicable Diseases. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2024. Lecture Notes in Computer Science, vol 14902. Springer, Cham. https://doi.org/10.1007/978-3-031-71115-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-71115-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-71114-5
Online ISBN: 978-3-031-71115-2
eBook Packages: Computer ScienceComputer Science (R0)