Abstract

AVENDANO, E.; MORENO, A.; SANCHEZ, G.  and  VILLAMIL, M.. Business Intelligence and Visual Analytics-Based Strategy for disaster risk observatory development. Prospect. [online]. 2020, vol.18, n.1, pp.13-23.  Epub June 05, 2026. ISSN 1692-8261.  https://doi.org/10.15665/rp.v18i1.2258.

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.

Keywords : Business Intelligence; Disaster Risk Management; Disasters Risk Observatory; Visual Analytics.

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