Client under NDA
Next-Generation Data Warehouse (DWH) Implementation
Query times –70%
Challenge
The bank's legacy data warehouse could no longer handle growing transaction volumes or support complex analytics. High-latency data pipelines delayed reporting, banking systems, CRM, and digital channels remained disconnected, compliance gaps existed against GDPR and local data protection laws, and the bank had no way to support real-time dashboards or predictive analytics.
The Varnix Solution
Discovery & Planning
full audit of the existing environment and a target architecture blueprint covering both hybrid cloud and on-premises options.
Architecture Selection
a high-performance analytical database paired with modern ETL tooling (Informatica, Talend, Azure Data Factory) and a data lake integration layer.
Data Pipelines
real-time ingestion from transactions, CRM, and mobile channels, plus optimized batch processing for the rest.
BI & Analytics
Power BI and Tableau integration, with predictive models built for credit scoring.
Compliance & Deployment
GDPR alignment, data masking, encryption, and a zero-downtime cutover to production.
Discovery & Planning
full audit of the existing environment and a target architecture blueprint covering both hybrid cloud and on-premises options.
Architecture Selection
a high-performance analytical database paired with modern ETL tooling (Informatica, Talend, Azure Data Factory) and a data lake integration layer.
Data Pipelines
real-time ingestion from transactions, CRM, and mobile channels, plus optimized batch processing for the rest.
BI & Analytics
Power BI and Tableau integration, with predictive models built for credit scoring.
Compliance & Deployment
GDPR alignment, data masking, encryption, and a zero-downtime cutover to production.
Results
- Query times reduced by 70%.
- Sub-second latency dashboards enabled for the first time.
- Manual data preparation reduced by 60%.
- Full GDPR and local financial regulation compliance achieved.
- A scalable architecture now in place, ready for future AI/ML integration.