Automation of Risk Management Data Import, Calculation and Reporting/Dashboarding for an International Development Bank (IDB)
Overview
Overview
Aspect Advisory was engaged by an international development bank (IDB) to automate core components of its central risk management processes. This included the automation of data flows, liquidity portfolio and ALCO reports, and the Expected Credit Loss (ECL) model. The objective was to significantly reduce manual data inputs and adjustments, enabling faster turnaround in report generation and supporting more frequent, timely risk insights.
Solution
Solution
Aspect Advisory began with a comprehensive review of the bank’s existing data flow and calculation processes. This diagnostic phase identified inconsistencies and shortfalls that could impact accuracy and traceability.
In response, a streamlined and user-centric solution was developed. Raw data from multiple internal sources was extracted, cleansed, and centralised into a single, unified repository. From this singular source, all calculations were performed—ensuring consistency, auditability, and ease of maintenance.
Key risk and performance metrics were then computed and stored in structured data tables, enabling seamless integration with downstream analytics tools and dashboards. The design prioritised simplicity and scalability while delivering traceable, high-quality outputs.
Results & Impact
Results & Impact
The automated framework delivered a clear separation between data ingestion, calculations, structured outputs, and reporting. Manual interventions were drastically reduced, increasing overall efficiency and reducing the potential for error.
As a result, the bank gained enhanced capacity to produce accurate, real-time reports and dashboards, allowing for quicker and better-informed risk management decisions.
Strategic Themes Addressed
Strategic Themes Addressed
- Risk management process optimisation
- Data automation and workflow simplification
- Enhanced reporting speed and accuracy
Key Skill Sets Utilised
Key Skill Sets Utilised
- Process flow design and optimisation
- Data and calculation automation (Excel & Power Query)
- Dashboard development and reporting (Power BI)
Business Areas Impacted
Business Areas Impacted
- Risk Monitoring
- Liquidity and ALCO Reporting
- Credit Risk and ECL Modelling
Insights: Key Learnings & Industry Implications
Insights: Key Learnings & Industry Implications
A centralised, unified data source is essential for financial institutions aiming to streamline reporting, reduce redundancy, and maintain consistency. It ensures data integrity across departments, facilitates efficient audit trails, and empowers decision-makers with reliable, up-to-date insights.
This approach supports a scalable and sustainable risk management infrastructure in a time where speed, precision, and clarity are vital.
Conclusion
Conclusion
Through strategic automation and process re-engineering, Aspect Advisory enabled the international development bank to transform its risk data ecosystem. The result: faster reporting cycles, improved data governance, and strengthened decision-making capabilities—laying the foundation for a modern, responsive risk management function.