Outcome
Reporting cycles significantly shortened
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Project Details
Financial Platform
ESG & Credit Risk Lakehouse
Project Overview
Client
Regulated organization
Industry
Finance & governance
Type
Risk and ESG data
Completed
Ongoing delivery
Situation
A regulated organization had to consolidate governance, risk, and ESG data from multiple source systems for reporting and steering. Before that, fragmented data states, spreadsheet-based consolidation, and weak traceability dominated the process.
Architecture View
ESG & Credit Risk Lakehouse
The architecture view follows the banking setup: credit, collateral, and ESG data flow into one Azure lakehouse, are consolidated into golden entities, and are then delivered to reporting, steering, and front-office integration.
Cloud Nation Solution
Cloud Nation designed and hardened the end-to-end delivery backbone: Golden data model for clients, facilities, collateral, and ESG exposure. Audit-ready lineage from source system to final KPI. Automated KPI calculation for regulatory and steering reports. The result is a production-ready platform that connects business logic, governance, and operational usage on one reliable foundation.
Outcome
Outcome
Spreadsheet-based consolidation massively reduced
Outcome
Audit confidence and transparency for ESG KPIs materially increased
How this helps your project
- Regulatory reporting and management steering should share the same data model so reports, executive cockpits, and front-office tools do not drift apart.
- Audit-ready lineage is valuable beyond audits because it also reduces coordination effort between risk, finance, and sustainability teams in day-to-day work.
- A golden model for client, facility, collateral, and ESG exposure creates a foundation for later climate, pricing, and portfolio use cases.
