Implementation of big data to improve the analysis of efficiency

Abstract

The use of Big Data in education has generated an abundance of information due to the rapid and constant changes in schools, presenting significant challenges and benefits. Information technologies, such as cloud platforms, have facilitated access to and analysis of this data, improving educational processes from diagnosis to problem solving. The objective of our research is to evaluate the impact of the implementation of Big Data in the analysis of efficiency indicators at the Rafael Narváez Cadenillas Experimental Educational Center. The methodology used was a pre-experimental approach, with a sample of 55 people randomly selected from a population of 127 individuals according to statistical data from the Educational Center. The data collection instruments included scientific articles and a survey using the Likert scale, and statistical programs such as SPSS and Microsoft Excel were used for the analysis of results. In the results we found that the time was reduced from 632.58 to 16.58 seconds (97.38%). Almora (2018) reported a reduction of 79.82% in university contexts. Tejada and Zoiner (2017) argue that Big Data handles complex big data. Observation in the preparation of reports showed a decrease of 93.4% (1265.17 to 82.92 seconds), similar to Linares (2019, 75%). Therefore, the integration of Big Data improves decision-making and productivity of education staff, these findings suggest.