Proposta de um sistema baseado em inteligência de negócios aplicado ao gerenciamento de projetos na área de exportação

Abstract

Efficient project management in Engineer to Order (ETO) companies is a constant challenge due to the need for high flexibility, cross-departmental collaboration, and extended lead times resulting from the customization of each order. In this context, increasing organizational complexity, driven by globalization and technological advancements, requires tools that enable fast, assertive, and data-driven decision-making. This study aims to propose and develop a conceptual model for strategic decision-making by integrating Business Intelligence (BI) concepts into project management, with practical application in the export sector of a power equipment manufacturing company. The research adopted the CRISP-DM method, providing a structured approach to building a BI environment tailored to support international project management. As a result, an interactive dashboard was implemented to consolidate data from different departments (commercial, logistics, and financial), enhancing transparency, integration, and real-time control. The main benefits observed include the reduction of rework and errors from manual spreadsheets, monitoring of costs and performance indicators, predictive analysis of lead times and bottlenecks, support in negotiations with freight forwarders, and significant productivity gains (estimated at 59.84% per year). In conclusion, the integration of BI into project management represents a strategic advancement, transforming raw data into actionable intelligence, improving operational efficiency, and supporting complex decision-making in the dynamic environment of international trade.