Success StoriesModern Data Platform for National Bank
Award-winning bank empowering individuals as well as small and medium-size businesses
Business Need
Objectives Driving Transformation
A national bank required a modern data platform to empower business users with direct access to trusted data and ad-hoc analytics. Legacy systems limited agility, constrained scalability, and created long reporting backlogs, while business teams lacked confidence in the accuracy and consistency of enterprise data. The organization sought a scalable architecture capable of supporting 20B+ rows of data, standardizing terminology and governance, and enabling collaborative, enterprise-wide decision-making, all while adhering to regulatory risk and compliance requirements.
- Deliver a self-service data platform for business-driven analytics
- Modernize legacy architecture to support agility and scalability
- Support data volumes exceeding 20B rows
- Establish consistent terminology and trusted data sources
- Enable enterprise collaboration around data-driven decisions
- Strengthen governance and regulatory compliance controls
Establish a scalable, self-service data platform to enable trusted, real-time decision-making while meeting enterprise risk and governance standards.
Challenge
Barriers to Progress
Decision-makers lacked timely insights and the ability to drill into reports for deeper analysis. A constrained BI team faced backlogs ranging from six months to two years, leaving many reporting requests unfulfilled. Data resided across multiple systems without a holistic enterprise view, and the absence of formal governance led to duplicate manual reporting efforts across departments. Business stakeholders questioned data accuracy, further limiting adoption and strategic use of analytics.
- Reporting backlogs of 6 months to 2 years
- Legacy systems and rigid architecture
- Fragmented data across multiple source systems
- No centralized governance framework
- Duplicate manual reporting across business units
- Limited enablement for advanced data utilization
- Low business trust in data accuracy
Solution & Results
What Paradigm Enabled
Paradigm implemented an end-to-end modern data platform architecture designed to support ingestion, governance, and analytics at enterprise scale. An optimized ETL engine enabled efficient data ingestion into a centralized data lake, while a data warehouse-as-a-service model provided scalable storage and analytics capabilities. An active data governance framework was introduced to ensure data availability, usability, trust, and security enabling clear definition, discovery, measurement, and collaboration across domains. Self-service analytics capabilities eliminated reporting bottlenecks and empowered business teams with immediate insight access.
- Elimination of reporting backlog (previously up to 2 years) through instant self-service analytics
- Scalable architecture supporting 20B+ rows of data
- Enterprise-wide governance framework improving data trust and compliance alignment
- Increased marketing and sales effectiveness, driving revenue growth
- Accelerated onboarding of new processors through streamlined data access
- Reduced duplication of manual reporting efforts across business units
The bank now operates with a scalable, governed data platform that empowers business-led analytics, strengthens regulatory compliance, and enables faster, more confident enterprise decision-making.
Eliminated
2-year reporting backlog
Revenue growth
Via increased marketing and sales effectiveness