IMPROVING DIGITAL MONITORING AND EARLY WARNING SYSTEMS IN THE MANAGEMENT OF ENTERPRISE FINANCIAL RISKS

Abstract

The article examines the theoretical and methodological foundations and practical directions for improving digital monitoring and early warning systems (EWS) in enterprise financial risk management. An integrated indicator system with a traffic-light scale, combining the Altman Z-score and machine learning techniques, is proposed. The findings can be applied by corporate finance departments and by banks in credit monitoring.