From legacy locks to limitless insights: How a scalable data platform redefined credit decisioning for a global leader
The challenge: Growth chained by legacy systems
For a global powerhouse in data analytics and credit reporting, managing 1.5 billion consumer profiles and 200 million U.S. business records, legacy technology had become a roadblock to progress. Mainframes and on-prem servers slowed operations, restricted scalability and limited innovation. With new consumer onboarding delayed and efficiency eroded, it was clear that the future could not be built on the past.
The transformation: Breaking free with cloud and big data
To dismantle silos and unleash speed, scalability and intelligence, the organisation embarked on a bold technology modernisation journey. Transitioning from rigid legacy systems to cloud and big data platforms unlocked:
- Scalable, cost-efficient data management
- Advanced analytics for real-time insights
- Faster, smarter processing pipelines
- This reinvention laid the foundation for agility, resilience, and innovation.
So, what did we do?
The solution: A unified platform, infinite possibilities
Deloitte designed and implemented a centralised, cloud-native data platform capable of handling transactional, real-time, batch and analytics workloads.
Key pillars included:
- Data unification: An S3-based data lake integrates data from diverse sources with automated ingestion pipelines, ensuring the freshest data is always available.
- Real-time intelligence: An event-driven architecture enabled near real-time data flows, empowering downstream analytics for lenders, government agencies, retailers and educational institutions.
- Smarter fraud analytics: Streamlined visualisation of fraud patterns, out-of-the-box risk indicators and simplified access to insights, all fortified with best practices in security and governance.
The leap: Cloud-powered credit decisioning
- 35x performance boost: Cloud platform now runs 10x more jobs compared to legacy system.
- US$700 million revenue acceleration: Faster processing unlocked handling of 1.5 trillion records, fuelling the leap from US$300 million to US$1 billion revenue target in five years.
- US$30 million cost savings: Modern distributed architecture cuts licensing and operational costs while boosting cloud tool agility.
- 35% faster insights: End-to-end data ingestion and transformation reduced by ~35%, enabling sharper, quicker decisions across 21 markets globally.
- 10% revenue uplift in fraud analytics: Enhanced fraud detection capabilities accelerated revenue growth in a critical segment.
The future: Positioned to scale, secure and lead
With mainframes fully decommissioned in North America, the company now saves substantially on Multi Speed Units (MSUs) while running data and analytics with greater agility, speed and resilience. The modern, cloud-native foundation is future-proof,built for scalability, innovation and fortified security.Today, this global leader is not just managing data, it is transforming it into intelligence, trust and growth at scale.
Christine Ahn
