Risk Event Databases systematically record details of realized risks including event date, business unit, root cause, financial impact, and remediation actions. Organizations analyze this data to identify loss trends, validate risk models, calibrate control effectiveness, and calculate regulatory capital requirements. The database supports evidence-based decision-making by providing actuarial data for frequency and severity distributions. A multinational retailer might track all inventory shrinkage events across locations to identify high-risk stores, train staff on prevention techniques, and allocate loss prevention resources more effectively.