Improving The System for Digital Identification and Monitoring of Financial Risks At Industrial Enterprises

This study examines approaches to improving the digital identification and monitoring of financial risks at industrial enterprises. The relevance of the research is determined by increasing financial uncertainty, exchange-rate volatility, changing borrowing costs, liquidity constraints, and fluctuations in production and market conditions. The study develops a conceptual framework that integrates financial indicators, digital data processing, risk scoring, early-warning signals, and continuous monitoring mechanisms. The proposed approach combines traditional financial analysis with digital technologies to improve the timeliness and accuracy of risk identification. Particular attention is paid to liquidity, credit, profitability, market, currency, and operational risks. The results indicate that a digital monitoring system can strengthen early detection of financial threats and support more timely managerial decision-making. The study proposes several directions for improving risk-monitoring infrastructure, including automated data collection, integrated analytical dashboards, predictive models, and risk thresholds.