Unified Data Platform & Real-Time Intelligence for FinTech
A financial technology firm required a modern analytics foundation to replace manual reporting processes and disconnected data sources. Digizal designed and delivered a unified data platform with self-service dashboards, automated reporting pipelines, and a scalable data model built for growth.
The platform consolidated transaction systems, market feeds, and operational databases into a governed analytics warehouse with end-to-end data lineage and regulatory traceability.
- Capability: Unified Data Platform • ELT Pipelines • Semantic Data Layer • Governed BI
- Engagement Model: Enterprise Delivery (Platform Transformation)
- Delivery Model: London (UK) • Cross-functional teams • Regulated financial environment
- Delivery Structure: Phased delivery with governance gates
Delivery Scope
The delivery focused on designing automated ELT pipelines, building a centralized analytical data warehouse with a standardized semantic layer, and deploying role-based executive dashboards.
Centralized cloud data warehouse architecture with automated ELT data ingestion- Semantic business layer standardizing KPI definitions across all business units
- Self-service executive and operational dashboards with scheduled report distribution
- Automated data quality monitoring, schema validation, and anomaly alerting
- Granular role-based data access controls and audit logging for financial compliance
- Automated regression testing for data transformation pipelines
- Data lineage tracking and metadata cataloguing for regulatory examinations
- Operational handover, stakeholder training, and data dictionary documentation
Outcomes & Operational Impact
Manual spreadsheet reporting was eliminated across 6 core business functions, and dashboard refresh times were reduced from 2 days to under 15 minutes.
The platform was supporting 85 active analytical users within 3 months of go-live, accelerating executive decision-making and providing a reliable foundation for future predictive analytics.
Key outcomes: Key outcomes include manual reporting eliminated across 6 business functions, dashboard refresh cut from 2 days to under 15 minutes, 85 active users within 3 months, and full data lineage traceability.
