INFLUENCE OF DATA MINING ON THE MANAGEMENT OF BUSINESS PROCESSES IN LIMA PERU, 2020
Main Article Content
The general objective of the research was to determine the influence of data mining on business process management. The method used was hypothetical deductive, the research approach was quantitative, the design was non-experimental, cross-sectional, the research level was explanatory-causal, and the type was applied. Regarding the study population data, it was made up of 81 collaborators, due to this the entire population was taken as a sample, however, as a data collection technique the survey was used and the instrument was the questionnaire, made up of 19 items , which was validated through an expert judgment. To determine the reliability of the instrument, the Cronbach's alpha coefficient was applied and the result was 0.863, which indicates that it is reliable. According to the results obtained with the Spearman Rho statistic, the correlation level was 0.573, which indicates that there is a considerable positive correlation, on the other hand, the significance level of the general hypothesis was 0.000, due to this. The alternative hypothesis was approved and a level of influence between the independent and dependent variable of 32.8% was concluded, which is why it is concluded that there is a significant influence of datamining in the management of business processes.
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