Business Situation
- A global financial leader in custodian banking sought to modernize its data infrastructure by replacing a 12-year incumbent vendor.
- The client faced challenges around incomplete and inaccurate client master data, limited CRM coverage, and high operational costs.
- Existing solutions lacked transparency, had low data accuracy (~85%), and required manual interventions that delayed client onboarding.
- Data lineage, auditability, and customization flexibility were minimal, constraining scalability and compliance.
SGA Approach
Technology
- Implemented SGA’s proprietary Entity Resolution Platform to streamline client master data management.
- Built scalable architecture with flexible, non-linear pricing to accommodate growing entity volumes.
AI
- Leveraged AI-powered data enrichment and validation workflows using multi-source verification, registries, and vendor databases.
- Applied smart exception handling algorithms to dynamically select the most accurate and recent values.
Data
- Expanded data coverage from 39 to 84 attributes, aligned with regulatory and global minimum standards.
- Improved pre-go-live data accuracy to ~93.5% and enabled rapid onboarding workflows with 4/8/24-hour SLA tiers.
- Embedded clear data sourcing documentation and lineage visibility to strengthen compliance and audit readiness.
Key Takeaways
- Enabled a 50% reduction in operating costs through intelligent automation and streamlined entity data management.
- Achieved an 87% reduction in turnaround time for onboarding new clients.
- Scaled entity coverage 3x — from 275,000 entities in Year 1 to 1 million in Year 2 (starting April 2025).
- Shifted data IP ownership to the client, enhancing long-term control and compliance flexibility.
