Datamart y la agilización de la toma de decisiones en la empresa de Transportes ITTSABUS
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Date
2024-04
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Universidad Nacional de Trujillo
Abstract
El propósito de esta investigación fue optimizar el proceso de toma de decisiones en la dirección de
la empresa de transporte ITTSA Bus de Trujillo a través de la implementación de un datamart. El
diseño de la investigación se enmarcó en una estructura preexperimental, abordando las etapas de
pretest y postest. En cuanto al tipo de investigación, se clasificó como aplicada, y en términos de la
técnica de contrastación, se adoptó un enfoque explicativo. En relación con la población, se
identificaron tres indicadores, siendo el primer indicador donde la población era inferior a ochenta, lo
que llevó a la utilización de un muestreo no probabilístico intencionado para la muestra; mientras que
para los otros indicadores, con poblaciones superiores a ochenta, se aplicó un muestreo aleatorio
simple. Las técnicas utilizadas abarcaron la medición del tiempo, encuestas y entrevistas, utilizando
instrumentos como el cronómetro digital y fichas de encuesta.
El desarrollo de esta investigación se llevó a cabo mediante la metodología de Ralph Kimball,
compuesta por diversas fases, cada una de las cuales se describió detalladamente. La contrastación
de hipótesis se realizó mediante pruebas de normalidad de Shapiro-Wilk y de Kolmogórov-Smirnov.
Con un margen de error del 5%, se encontró que solo los datos obtenidos a través del cuestionario
utilizado para medir el nivel de satisfacción de los usuarios mostraron una distribución estadística
normal, lo que permitió la aplicación de la prueba T de Student. En cuanto a los indicadores de tiempo
de generación de informes y costos de elaboración de informes, se aplicaron las pruebas de
Kolmogorov-Smirnov y Wilcoxon. Se concluyó que la implantación de un datamart eficientiza la toma
de decisiones en la gerencia de la empresa de transporte ITTSA Bus, logrando cumplir con cada
objetivo y aceptar todas las hipótesis específicas con un nivel de confianza del 95%
The purpose of this research was to optimize the decision-making process in the management of the transportation company ITTSA Bus of Trujillo through the implementation of a datamart. The research design was framed in a pre-experimental structure, addressing the pre-test and post-test stages. Regarding the type of research, it was classified as applied, and in terms of the contrast technique, an explanatory approach was adopted. In relation to the population, three indicators were identified, the first indicator being where the population was less than eighty, which led to the use of intentional nonprobabilistic sampling for the sample; while for the other indicators, with populations greater than eighty, simple random sampling was applied. The techniques used included time measurement, surveys and interviews, using instruments such as the digital stopwatch and survey forms. The development of this research was carried out using Ralph Kimball's methodology, composed of various phases, each of which was described in detail. Hypotheses were tested using Shapiro-Wilk and Kolmogorov-Smirnov normality tests. With a margin of error of 5%, it was found that only the data obtained through the questionnaire used to measure the level of user satisfaction showed a normal statistical distribution, which allowed the application of the Student T test. Regarding the indicators of reporting time and reporting costs, the Kolmogorov-Smirnov and Wilcoxon tests were applied. It was concluded that the implementation of a datamart makes decision making more efficient in the management of the transport company ITTSA Bus, achieving each objective and accepting all specific hypotheses with a confidence level of 95%.
The purpose of this research was to optimize the decision-making process in the management of the transportation company ITTSA Bus of Trujillo through the implementation of a datamart. The research design was framed in a pre-experimental structure, addressing the pre-test and post-test stages. Regarding the type of research, it was classified as applied, and in terms of the contrast technique, an explanatory approach was adopted. In relation to the population, three indicators were identified, the first indicator being where the population was less than eighty, which led to the use of intentional nonprobabilistic sampling for the sample; while for the other indicators, with populations greater than eighty, simple random sampling was applied. The techniques used included time measurement, surveys and interviews, using instruments such as the digital stopwatch and survey forms. The development of this research was carried out using Ralph Kimball's methodology, composed of various phases, each of which was described in detail. Hypotheses were tested using Shapiro-Wilk and Kolmogorov-Smirnov normality tests. With a margin of error of 5%, it was found that only the data obtained through the questionnaire used to measure the level of user satisfaction showed a normal statistical distribution, which allowed the application of the Student T test. Regarding the indicators of reporting time and reporting costs, the Kolmogorov-Smirnov and Wilcoxon tests were applied. It was concluded that the implementation of a datamart makes decision making more efficient in the management of the transport company ITTSA Bus, achieving each objective and accepting all specific hypotheses with a confidence level of 95%.
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Keywords
TECHNOLOGY::Information technology::Systems engineering