Inteligencia empresarial en la captura de concha prieta, su incidencia en la toma de decisiones.

Abstract

The objective of this paper is to investigate the influence of business intelligence on decision making in the production of the bivalve mollusk "Concha Prieta" (A. tuberculosa). One of the most extracted bivalve mollusks from mangrove forests is the concha prieta (Anadara tuberculosa). In Ecuador it is distributed in the provinces of Esmeraldas and El Oro. This resource has been culturally and economically important in the communities of the Jambelí archipelago, and throughout the Pacific coast of Latin America. A tool that has been widely used during the last decades is business intelligence, which allows extracting, exploiting, and simplifying information and discovering new patterns that will become future events in agricultural enterprises. Technological tools to develop business intelligence have been growing satisfactorily in agribusiness and agricultural markets worldwide. A non-experimental design with a mixed approach was applied in the research. An inferential statistical analysis was applied, which showed that there is a considerable positive correlation influence with 74.3% between the business intelligence variable and the decision making variable. For this reason it is appropriate to implement a business intelligence software in the production area of the company as an instrument for the analysis of large volumes of data. In this sense, the study developed in business intelligence for decision making responds to the need raised from the demand analysis.