Renewables Portfolio Risk Manager
A global energy developer managing a diverse portfolio of large-scale infrastructure projects across multiple regions.

A global energy developer managing a diverse portfolio of large-scale infrastructure projects across multiple regions.
The client’s existing risk management software offered limited reporting capabilities and came with prohibitively high licensing costs. They needed a flexible reporting solution that could deliver broad insights across threats and opportunities; risk probability versus impact; mitigation tracking; and trends in action closure. The solution also had to support both high-level risk posture overviews and drill-down access to actionable insights.
Microsoft Fabric was used to build a custom integration with the risk management system’s API. Raw JSON data was ingested into a Lakehouse, enabling structured storage and transformation across multiple stages while maintaining flexibility and scalability.
Spark notebooks handled data validation, transformation, and complex logic including API interactions for pushing and pulling updates. A curated layer was implemented using a Fabric Data Warehouse to support multi-table transactions and ensure data integrity.
A reusable Power BI report suite was developed, allowing each project to feature its own theme, logo, and customisations. Visuals included risk matrices, cost distributions, and urgency-coded action bandings, designed to enhance cognition, perception, and decision-making.
Risk managers gained access to insights that were not available directly in the risk management system, by leveraging governed data sources and analytics platforms such as Power BI.
Data was well-governed and securely managed, ensuring that risk managers could only view information relevant to the specific projects they were assigned to. This was achieved using Power BI app audiences and Microsoft Entra groups.
The solution enabled rapid rollout of new design changes across the entire reporting suite—even in cases where project-specific customisations existed—thanks to buffered publishing and app-level control.
Thousands of pounds were saved on licensing costs by allowing broader access to data and insights without requiring individual licences for the risk management software. This was made possible by shifting access to Power BI apps rather than workspaces.