Business Intelligence Model for Decision Making in an MSE in the Construction Sector

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Abstract

The objective of the research is to design a business intelligence model for the decision-making process in a company in the construction sector. The type of research is: applied, descriptive, qualitative. The population is made up of 7 areas of the company and 20 workers. Interviews and surveys validated by expert judgment were applied. As results, it was obtained that the business intelligence system significantly improves the quality of the information for the 4 areas in which it would be implemented, in addition, it is possible to reduce the time of the meetings in the 3 most important areas of the company. The information collected was analyzed and it is concluded that the design of BIS in the company has gone from being a cost to a competitive advantage, this being a necessary resource to meet the objectives of the organizations since it reduces time, improves the quality of information and ensures optimal organizational decision making. The estimated cost of the investment amounts to S/. 31440.

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Bravo-Huivin, E. K., Barrantes Tapia, P. A., Amayo Contreras, C. D., Florian Castillo, O. R., & Ilich, Ll. F. G. (2023). Business Intelligence Model for Decision Making in an MSE in the Construction Sector. In Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (Vol. 2023-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/laccei2023.1.1.428

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