In this work, the application of digital technologies in industrial safety management is analyzed, focusing on the development of an interactive dashboard using Microsoft Excel. Workplace injury statistics (2019–2024), equipment performance data, and employee reports were studied to identify safety trends and risk factors. Through comprehensive data integration and visualization, correlations between managerial inspections, audit plans, and accident rates were determined, highlighting critical areas for intervention. Methodologies for data preparation, including normalization and cleaning, were established to ensure accuracy and reliability. A multi-panel dashboard was developed, featuring real-time visualization tools such as bar charts, line graphs, Sankey diagrams, and interactive filters, enabling dynamic monitoring of safety metrics across production sites. The effectiveness of the dashboard in enhancing decision-making and proactive risk mitigation was substantiated through its ability to track seasonal variations, long-term safety trends, and financial resource allocation. The study demonstrates how data-driven approaches improve occupational safety management by consolidating fragmented data sources into actionable insights. Future research directions include integrating machine learning for predictive analytics and expanding the dashboard’s scope to incorporate environmental and enterprise-wide data. This work underscores the transformative potential of digital tools in fostering safer industrial environments through enhanced transparency, accountability, and evidence-based interventions.