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dc.contributor.authorDuran C.A.
dc.contributor.authorPalominos F.E.
dc.date.accessioned2020-09-02T22:16:42Z
dc.date.available2020-09-02T22:16:42Z
dc.date.issued2019
dc.identifier10.1109/ICA-ACCA.2018.8609716
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4298
dc.descriptionDecision making in a system of private companies and public organizations can be complex, because a large amount of information is permanently transferred between them, which may be relevant to increase competitiveness. For managers to comply with the defined strategic and operational objectives and choose effective alternatives, it is fundamental to have decision support systems (DSS) that calculate indicators for a large amount of transactional data, which have meaning. In this paper, based on the Analytical Networking Methodology (ANP) applied to the opinion of experts, the key KPIs related to the technological and risk aspects for the actors identified, is presented a proposal for the decision-making process, which are then implemented in OLAP cubes on multidimensional databases of the ROLAP type. © 2018 IEEE.
dc.language.isoes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceMunoz C.Lefranc G.Fernandez-Fernandez M.Rubio E.Duran-Faundez C.
dc.subjectANP
dc.subjectinformation system
dc.subjectKPI
dc.subjectOLAP
dc.subjectArtificial intelligence
dc.subjectAutomation
dc.subjectDecision support systems
dc.subjectIndustry 4.0
dc.subjectInformation systems
dc.subjectProcess control
dc.subjectDecision making process
dc.subjectDecision support system (dss)
dc.subjectLarge amounts
dc.subjectMultidimensional database
dc.subjectOLAP
dc.subjectPrivate companies
dc.subjectPublic organizations
dc.subjectTransactional data
dc.subjectDecision making
dc.titleMethodological proposal for decision making soported on ANP and multidimensional database
dc.typeConference Paper


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