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Strengthening regulatory reporting and data integrity through sla driven managed services and intelligent automation
Strengthening Regulatory Reporting and Data Integrity through SLA-Driven Managed Services and Intelligent Automation
Overview
A leading European bank relied on FMIS for regulatory reporting, integrating data from multiple legacy systems, which introduced complexity in data consolidation and transformation. Frequent data quality issues, reconciliation gaps, and defects across environments were impacting reporting accuracy and timelines. Coforge partnered with the client to deliver a managed services model with strong governance, automation, and real-time monitoring to improve data integrity and operational efficiency.
Challenge
Managing Complex Data Consolidation and Ensuring Accuracy in Regulatory Reporting
Regulatory reporting dependent on FMIS integrating multiple legacy systems
Complexity in data consolidation and transformation processes
Frequent data quality issues and reconciliation gaps
Defects across PRE, UAT, and PROD environments
Challenges in ensuring timely and accurate reporting
Solution
Coforge implemented a comprehensive managed services and transformation approach:
Provided L2 and L3 support for production incidents
Managed defect resolution across PRE, UAT, and PROD environments
Owned end-to-end SDLC for new requirements including design, development, testing, and deployment
Performed reconciliation and data quality and integrity testing
Established governance framework for managed services delivery
Delivered near real-time dashboards using Power BI with automated provisioning in PaaS using DaaS
Integrated dashboards with real-time alerts and implemented automated self-healing mechanisms
Leveraged machine learning models to reduce false alerts
Supported downstream functions including predictive modeling for fraud detection and transaction monitoring
Tools & Technology
Informatica Powercenter, Power BI
Resolving 95% of issues with Defined SLA | Closed Backlogs in 3 months | 24*7 support model| 20% HC cost reduction
Impact
Improving Data Accuracy, Operational Efficiency, and Compliance Readiness
Resolved 95% of issues within defined SLA across priority categories
Cleared backlog within first 3 months of managed services transition
Enabled 24×7 support model for handling incidents outside SLA
Achieved >99% success rate in real-time monitoring
Reduced downtime through automated self-healing mechanisms
Improved anomaly detection accuracy to over 99%
Reduced fraud by over 50 basis points compared to previous models
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