Big Data: El Power BI en la analítica predictiva para la toma de decisiones financieras, en el ámbito veterinario, sector Tumbaco

Abstract

This research project analyzes the implementation of Power BI as a business intelligence solution to strengthen predictive analysis and economic decision-making in veterinary clinics in the Tumbaco parish during 2024. The study addresses the issue of predominantly manual record-keeping and the use of basic software, factors that lead to disorganization in databases. Instead, it necessitates evidence-based management through a quantitative approach and a descriptive analytical design. The study evaluated how technological integration allows for the transformation of operational data into predictive models of income and expenses. The results show that 63.2% of the industrial institutions rely on rudimentary processes, which severely limit their strategic planning and their ability to respond to market fluctuations. However, the analysis of the results shows that the implementation of Power BI contributes to the clear visualization of financial indicators, improving the accuracy of income forecasting for 68.4% of the respondents. While there is absolute consensus (100%) on the need for technological modernization, 68.4% of participants identified a lack of technical knowledge as the biggest obstacle to digital transition. Therefore, it is concluded that Power BI is a fundamental tool for optimizing resources and reducing administrative errors. To guarantee the sustainability and operational efficiency of clinics in the industry, the creation of technical training programs and the consolidation of centralized data structures are recommended.