Análise de dados e tomada de decisões estratégicas na indústria siderúrgica: um estudo de caso utilizando business

Abstract

The integration of Business Intelligence (BI) in the steel industry is crucial to address challenges such as price volatility, environmental regulations, and global competition. This study addressed the knowledge gap regarding the role of BI in process optimization and strategic decision-making in this sector. The main objective was to analyze the influence of BI in the steel industry, focusing on identifying Key Performance Indicators (KPIs), conducting a case study in a Brazilian steel company, and evaluating the effectiveness of BI tools in process optimization. Using the Pentaho suite for data analysis, the study employed Pentaho Data Integration (PDI) to develop ETLs, ensuring the integrity and quality of data from Companhia Siderúrgica Nacional (CSN). Essential KPIs such as crude steel production, production cost per ton, and energy efficiency, among others, were collected, based on parameters from the literature. The results highlighted the importance of BI in improving operational efficiency and competitiveness in the steel industry, emphasizing its ability to optimize processes, identify new market opportunities, and contribute to sustainable practices. The conclusion focuses on the strategic relevance of BI in the steel industry, providing practical perceptions for its effective implementation, filling a gap in the understanding of this integration, and contributing to the sustainability and success of the sector.