Medição da qualidade e da rapidez da tomada de decisão baseada em business intelligence: uma análise de concordância para atributos no âmbito da indústria 4.0

Abstract

With the rise of Industry 4.0, the concept of Quality 4.0 has emerged, integrating traditional quality management practices with new digital technologies like Business Intelligence (BI). While BI plays a crucial role in organizational decision-making, the literature still lacks clarity regarding the specific influence of factors within BI dashboards on the speed and quality of decision-making. This study aims to assess how elements such as charts, tables, and alerts impact decision-making quality and speed in BI contexts. The research was conducted in a software development company, where experts evaluated these factors at two distinct moments, through questionnaires with identical items but different presentations. Key findings indicate that charts are highly valued for both decision-making quality and speed. Alerts are considered important mainly for fast decision-making, whereas tables were the least influential. Moreover, academic background and professional domain significantly shaped the evaluators' perceptions of these factors. These results highlight the need to design customized BI dashboards that cater to the specific needs of different professionals and areas, improving both decision speed and quality.