Business Intelligence Architecture to Improve Decision Making

Moreno C.V.; Rodriguez C.; Puente F.G.; Petrlik I.; Lezama P.; Pomachagua Y. · Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 (2022) · DOI: 10.1109/cicn56167.2022.10008297

Resumen

Summary - Currently in different organizations and public entities, have large amounts of data and many times the tools or technologies that achieve the analysis of such data are unknown. in this context, business intelligence emerged, which allows data to be analyzed and provided information to supports decision- making for senior executives of public entities. The objective of this research is to propose a business intelligence architecture that provides a solution to manage large amount of information. The methodology used was based on scrum as part of a good organization, structure and time control by the implementation of the proposed architecture in any system or tool of the public entities. as part of the review and part of the results, the research of various articles was carried out, and 20 were selected for sample and proof that the proposed architecture is the one indicated for decision making. in the results of part of the research, was found evidence that a business intelligence architecture is not only the most used, but it provides various response mechanisms for the large amount of information possessed and, in many cases, not used in the best way.

Instituciones: Universidad Nacional Federico Villarreal