Dynamic Business Impact Analysis and Dependency-Aware Recovery Optimization for Mission-Critical Banking Operations (Research Square)

Summary

• The synthetic evaluation dataset contained 12,480 service–time interval–scenario observations across six mission-critical banking services.p.13
• Payment processing experienced a 41.7% increase in estimated impact under concurrent disruption scenarios.p.13
• The proposed dynamic model achieved a mean recovery time of 4.6 h across all disruption scenarios.p.14
• RTO compliance increased to 82.9% under the proposed dynamic model compared to 61.8% for criticality-only prioritization.p.14
• RPO compliance reached 88.6% under the proposed strategy compared to 70.8% under shortest-recovery-time prioritization.p.14

Key insights

1. Customer authentication demonstrated the shortest mean recovery time at 3.2 h.p.13
2. Payment processing experienced the highest RTO-breach rate at 46.8% and a mean recovery time of 6.2 h.p.13
3. Static business impact analysis resulted in an RTO compliance rate of 68.7% and RPO compliance rate of 75.3%.p.14