This study investigates the processes of Technology Transfer within Brazilian public universities across the country's five regions. As an applied research project employing quantitative methods, it provides a detailed analysis of these processes. An exploratory approach was adopted, utilizing metrics such as the mean, standard deviation, and coefficient of variation to analyze dispersion variability within the dataset. The Pearson correlation coefficient (R) was also used to examine correlations among dimension variables, further evaluating data variability. The findings reveal significant variability among the universities surveyed, largely due to differences in structural conditions. Notably, the "people" dimension displayed the highest average and the lowest dispersion at 18.23%, indicating moderate variability, while other dimensions, including valuation, marketing, environment, and society, showed comparatively lower results. These outcomes offer a comprehensive overview of Technology Transfer activities within Brazilian public universities, aiding decision-makers in enhancing research knowledge dissemination. The research advocates for a data-driven approach to improve innovation, strengthen infrastructure, and increase the overall effectiveness of knowledge transfer initiatives across the country. By highlighting the critical role of Technology Transfer in promoting innovation and technological advancement, this study provides empirical insights and actionable recommendations that could enhance collaboration between academia, industry, and government, fostering sustainable socioeconomic development and a culture of innovation in Brazil.