Modelo computacional para el seguimiento de la producción en una industria ecuatoriana basado en Big Data y Business Intelligence

Abstract

The combination of Big Data and Business Intelligence allows parameters to be established to solve problems; BI and Big Data work together now and there are companies that still do not customize well the application of data mining, integration, analysis, processing and application that is achieved through Big Data and BI. The general objective is to design a computational model determining its logical infrastructure and indicators for monitoring production in an Ecuadorian industry based on these technologies. Literature review, empirical-analytical research, qualitative approach, graphs and description of models are used. The literature review identified 59 scientific articles and identified them in five groups as Domain, Frequently Asked Objectives, Technological Tools, Data Sources and Types of Analysis. The computational model that is shown in five layers: Data Sources, Network, Data Repository, Data warehouse and Application, to capture data from different sources and process them into indicators and reports. The ITU-T Y.3600 standard validates the computational model with a score of 86%, and according to the survey responses, a level of maturation is obtained that is differentiator, this means that its applicability in the Ecuadorian environment is good or acceptable.