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dc.contributor.authorMilanes, Celene B.spa
dc.contributor.authorTamayo Yero, Hspa
dc.contributor.authorde Oliveira, Dspa
dc.contributor.authorNuñez-Alvarez, J Rspa
dc.date.accessioned2020-07-07T19:14:38Z
dc.date.available2020-07-07T19:14:38Z
dc.date.issued2020
dc.identifier.issn1757-8981spa
dc.identifier.urihttps://hdl.handle.net/11323/6473spa
dc.description.abstractIn Cuba, the state invests considerable resources in the establishment of preparation plans to mitigate and to minimize the negative impacts of natural threats. As a sample of it, since the year 2010, the country carried out the studies of hazard, vulnerability, and risk (HVR), however, the form in that results of these studies are analyzed present serious limitations for the excessive quantity of data that are dispersed and not very understandable for users belonging to the Centers of Risks' Management make decisions in an agile way. The present work, exposes the management’s pattern of the studies of Hazard, Vulnerability and Risk in Cuba alongside the occurrence of hydrometeorological extreme events in vulnerable territories; and the structuring process of the computer proposal that modifies and computerizes the current analysis procedure of these studies in the country. As contributions of the research and by means of the use of techniques and tools of Business Intelligence, is designed and implemented, for the case of Santiago de Cuba province, the data warehouse that centralizes the results of the studies for hydrometeorological extreme events in 2011 and 2016. A decision support system (DSS-HVR) is built, and integrated at the developed data warehouse in this work, it allows the analysis of the studies in a holistic manner and from several perspectives, to obtain outstanding and better-represented information through interactive and dynamic reports, both tabulate and graph representation, all as a support for a fast and effective decision making.spa
dc.language.isoeng
dc.publisherIOP Conference Series: Materials Science and Engineeringspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.subjectBusiness intelligencespa
dc.subjectDecision support systemspa
dc.subjectData warehousespa
dc.subjectHazardspa
dc.subjectVulnerability and riskspa
dc.titleApplication of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cubaspa
dc.typeArtículo de revistaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doidoi:10.1088/1757-899X/844/1/012033spa
dc.identifier.doi1757-899Xspa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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dc.relation.references[2] Botero, C and Milanés C. 2015. Aportes para la gobernanza marino-costera. Gestión del riesgo, gobernabilidad y distritos costeros. Libro de investigación. Fondo de publicaciones de la Universidad Sergio Arboleda, Bogotá, Colombia. ISBN: 978-958-8866-67-3. ISBN: 978-958-8866-68-0. 554 pspa
dc.relation.references[3] Milanés C, Suárez A and Botero C. 2017. Novel method to delimitate and demarcate coastal zone boundaries. Journal Ocean and Coastal Management. 144 (2017) 105- 119p.http://dx.doi.org/10.1016/j.ocecoaman.2017.04.021spa
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dc.relation.references[5] Pérez Montero y Milanés B Celene. Social perception of coastal risk in the face of hurricanes in the southeastern region of Cuba. Ocean & Coastal Management. Available online 10 October 2019, 105010. https://doi.org/10.1016/j.ocecoaman.2019.105010spa
dc.relation.references[6] Planas, F.J.A., Milanés, B.C., Fanning, L.M. and Botero, C.M. (2016) Validating Governance Performance Indicators for Integrated Coastal and Ocean Management in the Southeast Region of Cuba. Open Journal of Marine Science, 6, 49-65. doi: DOI: 10.4236/ojms.2016.61006spa
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dc.relation.references[20] Barrio J, Abreu H, Pina I and Alvarez J. 2018. SmartGrid proposal in communities of Guamá Municipality of Santiago de Cuba Province. Journal of Engineering and Technology for Industry Applications, 4(14), 66-74. https://doi.org/10.5935/2447-0228.201831spa
dc.relation.references[21] Valencia G, Nuñez J and Acevedo C. 2019. Research Evolution on Renewable Energies Resources from 2007 to 2017: A Comparative Study on Solar, Geothermal, Wind and Biomass Energy. International Journal of Energy Economics and Policy. 9(6), 242-253. DOI: https://doi.org/10.32479/ijeep.8051spa
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dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
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