Business intelligence as a strategy for decision making in the tuna industry

Abstract

New digital technologies are important challenges facing companies today, i.e., digitization is both a source of opportunities and a threat to the survival of those companies that are unable to adapt. The main objective of this research was to identify a business intelligence model that serves as a strategy for decision making in the canned tuna industry in the city of Manta, through the implementation of a dashboard. The methodology used was analytical and synthetic with a quantitative approach under post facto experimentation. Its development is based on the techniques and models used for the generation of a centralized, secure and customized solution, which exponentially allows optimizing the manufacturing process evaluated. In addition, the excellence model based on EFQM self-assessment is reviewed for the improvement of processes in the strategic, operational and support areas. As a result, the validation of the business analysis model was carried out using SQL Server Analysis Services (SSAS) and Tableau tools, which allowed managing, processing, transforming and displaying vital information for decision making from the operational to the managerial level, thus obtaining an advantage over the competencies of this industry. This work contributes to the project Methodology for automatic auditing of hazards and critical control points by applying process mining.