Business Intelligence and Visual Analytics-Based Strategy for disaster risk observatory development

Authors

  • Germán Sánchez Torres University of Magdalena image/svg+xml
  • Maria del pilar Villamil Universidad del los Andes
  • Andres Moreno Universidad del Andes
  • Eduard Avendaño University of Magdalena image/svg+xml

DOI:

https://doi.org/10.15665/rp%20.v18i1.2158

Abstract

Abstract

In this article, we present a development strategy for disaster risk observatories, integrating business intelligence and visual analytics. Analysis and contextualization at a global level are carried out from the perspective of policies, tools, and scientific literature in the context of disaster risk reduction. The strategy integrates the Kimball methodology for the construction of business intelligence (BI) projects and the visualization framework of Tamara Munzner to strengthen the decision-making process and make it flexible and faster, satisfying the needs of business users. Considering disaster risk management as a process allows for the identification of the starting point and the processes that follow, resulting in a quick initiation of the project lifecycle.  In addition, including the visualization framework, along with the BI methodology, facilitates the development of analysis tools for solving end-user issues.

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Published

2020-09-29

Issue

Vol. 18 No. 1 (2020): Enero - Junio

Section

Articles

License

Copyright (c) 2020 Germán Sánchez Torres, Maria del pilar Villamil, Andres Moreno, Eduard Avendaño

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