Financial Firm Achieves Metadata Management Success with Rocket^® Data Intelligence

Company

Industry: Finance

A Global Systemically Important Financial Institution that processes high volumes of data daily. Its success depends on superior data management to guarantee regulatory compliance and informed decision-making. 

Challenge

Rapid growth through acquisitions and evolving operational needs created a maze of entangled systems. Understanding data lineage across sprawling applications became a monumental challenge for this financial giant, increasing risks and inefficiencies

Over time, the organization’s IT ecosystem grew overly complex, with over 2,000 interconnected applications making it difficult to track data provenance. Managing data lineage became a major obstacle, compounded by increasing regulatory scrutiny and rising compliance risks. Poor data quality, costing around 12% of revenue, along with heavy technical debt from outdated systems and limited integration, added to their operational and financial burdens.

Solution

Rocket Data Intelligence provided an end-to-end view of data flows, enabling comprehensive and reliable metadata management. Designed for scalability, it offered robust integration across established and cloud systems. 

Rocket DI helped the institution effectively manage its complex data ecosystem. It provided end-to-end data lineage across 1,500 systems, upped the automated stitching rate to 87% (up 30%), and alleviated technical burden. The team integrated over 100 custom scanners for systems like COBOL, Snowflake, and Apache. With modernized processes, they implemented data lineage for 125 applications each month during projects and 25 during regular operations. This reduced complexity, delivered insights, and supported growth, cost savings, and compliance goals. 

Results

The firm transformed its data governance operations, meeting stringent compliance requirements while unlocking newly discovered efficiencies. 

Regulatory compliance became far more precise during the London Interbank Offered Rate (LIBOR) transition. What would have taken years—analyzing data across 150+ applications and 20,000 COBOL programs—was completed in just 11 weeks. Automated lineage mapping was key, saving substantial time and costs. By trusting its data, the organization uncovered insights for better decision-making and gained a competitive edge. The automated process also reduced technical liabilities and streamlined operations, managing up to 720 critical data elements monthly. 

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Your data is one of your business’s most valuable assets. Rocket DI helps you manage it more easily, build trust in your data, and keep compliance on track.