Inteligencia de negocio en una multinacional: análisis de procesos y nivel de adaptación organizacional

Abstract

CONDITION FOR PUBLICATION OF PROJECT. project analyzes business intelligence in a multinational market research company, aiming to identify factors affecting organizational efficiency, prioritize critical areas for intervention, and assess the level of technological integration. It hypothesizes that optimizing organizational structure, standardizing processes, and strengthening technological adoption enhance competitiveness and profitability per study. The research is justified by the need to transform dispersed data into actionable intelligence that supports strategic decision-making. The study applied the Design Thinking methodology, combining qualitative interviews with internal performance indicators. Additionally, Bizagi Modeler was used to visually map workflows, allowing the identification of bottlenecks and redundancies. The results revealed irregular interdepartmental communication, non-standardized operational processes, and low technological adoption, all of which limit competitiveness. As a solution, a business intelligence platform prototype was designed, including dashboards, a control center, quick assistance modules, a quotation simulator, and a virtual library, aimed at optimizing processes and accelerating decision-making. It is concluded that implementing the proposed model strengthens strategic alignment, improves operational efficiency, and can be scaled at a corporate level, serving as a reference framework for other companies in the sector. Keywords: Efficiency, digital transformation, decision-making, profitability