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Redefining customer interactions in financial services: How to use data to maximize lifetime value | Read the report
A top-tier global financial institution—trusted by most of the world’s top 100 banks—faced growing reputational risk from inaccurate decisions caused by fragmented data and slow, manual processes. To stay ahead, the institution turned to Virtusa. Together, they built an industry-first, cloud-native platform that automated real-time insights—boosting decision accuracy by 75%, cutting processing time in half, and reinforcing the trust built over generations. It also unlocked new pathways for growth.
As a 240-year-old global financial institution serving clients through its wealth management division, the firm knew its legacy wasn’t enough. Manual processes across decentralized systems were slowing down insights, impacting both advisors and clients. With trillions in assets under custody, service delays weren’t just inefficient – they could erode customer trust.
The institution needed real-time, accurate data at the fingertips of its advisors and clients for more speed, clarity, control, and better decision making. And it needed a partner with the domain and tech expertise to deliver, which it found in Virtusa.
Virtusa’s subject matter experts worked closely with the global bank’s Architecture Review Board, leading solutioning and review sessions. Out of the these came the blueprint for a data platform that was robust, scalable, and above all – transformational.
Virtusa delivered an end-to-end data automation solution that included:
To accelerate delivery, Virtusa ran four development streams in parallel – data ingestion, replication, downstream transfer, and consumption. Each stream was developed independently and then seamlessly integrated into a unified platform. With complete ownership and tight execution, the team hit every quality and delivery benchmark.
The results spoke for themselves.
The institution cut data load and processing by a 50%, significantly improving operational efficiency. The platform handled massive data loads – up to 100 million records – with 95% accuracy. Manual intervention dropped to near-zero, freeing up resources and reducing the risk of human error.
Most importantly, financial advisors gained a 75% increase in decision-making accuracy, translating into smarter, faster, and more consistent client recommendations. All service-level agreements (SLAs) were met, and real-time data was now fueling the trades that define performance. The transformation marked a strategic leap forward in how BNY Mellon delivered value to its clients.
The institution selected Virtusa for its deep banking expertise and proven record in cloud data modernization. Building on the success of its data distribution platform, the partnership has expanded to modernize the Snowflake Enterprise Control Plane with self-service, strong governance, and ROI-driven cost optimization.
Looking ahead, the solution will scale across more business units with capabilities like self-healing for data accuracy, CRM integration, and advanced analytics—driving enterprise-wide, data-powered decision-making.
more precise decisions
less data load
records processed
processing accuracy
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