Citas bibligráficas
Fernandez, N., (2018). La influencia de la inteligencia de negocios en el análisis de información de ventas de la importadora y distribuidora Jiménez E.I.R.L, en la ciudad de Nueva Cajamarca, 2017 [Tesis, Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/3152
Fernandez, N., La influencia de la inteligencia de negocios en el análisis de información de ventas de la importadora y distribuidora Jiménez E.I.R.L, en la ciudad de Nueva Cajamarca, 2017 [Tesis]. PE: Universidad Nacional de San Martín. Fondo Editorial; 2018. http://hdl.handle.net/11458/3152
@misc{renati/1058364,
title = "La influencia de la inteligencia de negocios en el análisis de información de ventas de la importadora y distribuidora Jiménez E.I.R.L, en la ciudad de Nueva Cajamarca, 2017",
author = "Fernandez Carrion, Nixon Omar",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2018"
}
The following investigation titled as: "The influence of business intelligence in the analysis of sales information of Importadora y Distribuidora Jiménez EIRL, in the city of Nueva Cajamarca, 2017", aimed to apply business intelligence to improve the analysis of sales information at Importadora y Distribuidora Jiménez EIRL, in the city of Nueva Cajamarca, 2017. This is how the question arises: The implementation of a business intelligence solution will improve the analysis of sales information at Importadora y Distribuidora Jiménez EIRL, in the city of Nueva Cajamarca, 2017? The hypothesis was that: The solution of a business intelligence will improve the analysis of sales information at Importadora y Distribuidora Jiménez EIRL, in the city of Nueva Cajamarca, 2017, the following was an applied type and pre-experimental design research with pre-test (without BI system) and post-test (with BI system). The sample consisted of 15 users including managers and sales staff of the ‘company, while the data collection instrument was the same questionnaire that were processed and represented through tables and figures to be interpreted later. The t-Student test was applied for related samples, at a level of significance of 5%. As a result, the calculated t-value of -40.949 was lower than the t tabulated with -1.761; likewise the results obtained, in the pretest, the average user satisfaction is 1.71; after the use of business intelligence, the new average is 4.34; this fact denotes a significant influence represented by a 52.6% increase in user satisfaction with respect to the analysis of sales information. Accepting the alternative hypothesis of the investigation (Hi). Therefore it is suggested to implement business intelligence to all companies to facilitate the analysis of information that will allow better decision making.
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