Bibliographic citations
Almanza, G., (2019). Factores que identifiquen la necesidad de implementar los sistemas de business intelligence a fin de mejorar la toma de decisiones en los procesos operativos del sector diagnóstica [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/625865
Almanza, G., Factores que identifiquen la necesidad de implementar los sistemas de business intelligence a fin de mejorar la toma de decisiones en los procesos operativos del sector diagnóstica [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2019. http://hdl.handle.net/10757/625865
@misc{renati/368567,
title = "Factores que identifiquen la necesidad de implementar los sistemas de business intelligence a fin de mejorar la toma de decisiones en los procesos operativos del sector diagnóstica",
author = "Almanza Inchaustegui, Gerardo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2019"
}
The objective of this research is to expose the factors that make it necessary to implement Business Intelligence in order to improve decision making, which directly influence the efficiency of the importation processes of the Diagnostic sector. This research is divided into 5 chapters, in which the scientific method detailed in the book Methodology of Research was used, which presents research as a systematic process, the chapters are comprised by theoretical framework, research plan, methodology, development and application, and analysis of results. Likewise, it is sought to identify that, with this computer tool, it will be possible to have the possibility of improving the import operational processes. Finally, the relationship between the two variables studied Business Intelligence for the best decision making and the efficiency of the Operational Processes will be verified, in order to optimize the value chain and present an innovation tool for the world of international business. For this, quantitative and qualitative analyzes were carried out, and the SPSS tool was used to show the Factorial and Discriminant Analysis
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