Comparação de ferramentas de visualização e análise de dados

Abstract

The evolution and adaptation of corporations in recent decades have clearly been driven by large-scale data collection and adaptations based on predictions. The final stage of the cycle of transforming data into relevant information becomes visual through data analysis and visualization tools, which can integrate with databases to extract insights, create dashboards, and generate reports to support executive decision-making. This study explores the context of data visualization and analysis tools, considering the company's profile based on the number of employees and the sector of the economy in which it operates. The main economic sectors considered include agribusiness, education, energy, logistics and transportation, oil and gas, healthcare, essential services, and retail, across small, medium, and large enterprises. Additionally, the study references market reports from sources such as Gartner and IDC. It analyzes the two largest and most relevant proprietary software tools on the market: Microsoft Power BI and Tableau. Furthermore, two open-source tools, Grafana and Metabase, were also examined each with different approaches but fitting within some of the established user profiles. As a result, each user profile was segmented by company size and sector, aiming to leverage the competitive advantages and specific features of each tool according to its profile, ensuring the best cost-benefit balance.