🏦 Meridian Bank
How a leading financial institution consolidated fragmented data tooling into a unified control plane, enabling real-time risk detection and AI-driven fraud prevention.
Company Overview
Meridian Bank is a top-20 US commercial bank with over $180 billion in assets under management. With operations spanning retail banking, wealth management, and commercial lending, Meridian serves millions of customers across 38 states.
The Challenge
Before Datorth, Meridian's data infrastructure was fragmented across multiple legacy systems:
- Siloed data warehouses — Each business unit maintained separate data stores with inconsistent schemas and definitions
- Batch-only processing — Risk models ran on day-old data, limiting fraud detection effectiveness
- Manual governance — Compliance teams spent weeks preparing for audits with spreadsheet-based lineage tracking
- Slow time-to-insight — New analytics initiatives took 6-9 months to deliver
The Solution
Meridian partnered with Datorth to implement a unified data control plane that spans their entire data estate:
Unified Data Fabric
- Consolidated 12 separate data warehouses into a single logical layer
- Implemented cross-cloud data mesh across AWS, Azure, and on-premises systems
- Deployed automated data quality scoring with 99.7% accuracy
Real-time Streaming Infrastructure
- Built streaming pipelines processing 2.5 million transactions per second
- Reduced fraud detection latency from 24 hours to under 50 milliseconds
- Implemented real-time risk scoring for all customer interactions
Automated Governance
- Deployed policy-as-code for GDPR, CCPA, and SOX compliance
- Automated lineage tracking from source systems to reporting dashboards
- Reduced audit preparation time from 6 weeks to 2 days
Results
Within 18 months of deployment, Meridian achieved transformative outcomes:
Business Impact
- $47M annual savings in fraud losses through real-time detection
- 4× faster delivery of new analytics capabilities
- 38% improvement in customer satisfaction scores
- 60% reduction in operational risk incidents
Technical Achievements
- < 50ms end-to-end streaming latency
- 99.99% platform availability
- 2.5M TPS sustained transaction processing
- 85% reduction in data engineering toil
Customer Testimonial
"Datorth delivered a platform where our teams can collaborate across regions seamlessly. We ship data products faster, with governance and auditability built in. The transformation has been remarkable."
— Lin Qiao, Chief Data Officer, Meridian Bank
Technology Stack
- Datorth Cloud-native Fabric (multi-cloud deployment)
- Datorth Streaming with Kafka and Flink integration
- Datorth Governance with automated policy enforcement
- Integration with Snowflake, Databricks, and legacy Oracle systems
What's Next
Meridian is now expanding their Datorth deployment to power next-generation AI initiatives, including generative AI for customer service and predictive models for wealth management recommendations.
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