Enterprise Risk Analytics Platform

The Challenge

A leading financial institution was managing risk across multiple business units using disparate systems — each with its own data definitions, reporting cadences, and quality standards. The board and regulators demanded a consolidated, real-time view of enterprise risk, but the existing infrastructure made this nearly impossible. Risk reports took over a week to compile, and data inconsistencies frequently undermined confidence in the numbers.

Our Approach

DataLumin conducted a comprehensive assessment of the institution's risk data landscape, identifying 14 source systems feeding into risk calculations. We designed a unified risk data model that standardized definitions across credit, market, operational, and liquidity risk. The architecture was built on Azure Synapse Analytics with Power BI for executive-facing dashboards and automated regulatory reporting.

The Solution

We implemented a real-time risk data pipeline that consolidates data from all 14 source systems into a single governed risk data warehouse. The solution includes automated data quality checks at ingestion, a business glossary ensuring consistent definitions, and role-based dashboards for different stakeholders — from the board-level executive summary to granular analyst views. Regulatory reports that previously required manual compilation are now auto-generated.

Results & Impact