Automation of Risk Management Data Import, Calculation and Reporting/Dashboarding for an International Development Bank (IDB)
Overview
Overview
Aspect Advisory was engaged to automate and enhance core components of risk management data processing, liquidity portfolio and ALCO reporting, as well as the Expected Credit Loss (ECL) model for an international development bank (IDB). The primary objective was to reduce reliance on manual inputs and adjustments, improve data integrity, and accelerate the turnaround time for preparing and generating reports — ultimately enabling more frequent and timely decision-making.
Our Approach
Our Approach
To deliver a robust solution, Aspect Advisory first conducted a comprehensive assessment of the bank’s existing process flows, data pipelines, and calculation procedures. This thorough evaluation identified inconsistencies and potential gaps, ensuring the accuracy and validity of replicated results in the new automated framework.
A streamlined and user-friendly solution was then designed in line with the client’s request for simplicity and ease of maintenance. Raw data from various internal sources was consolidated into a unified, centralised repository. From this single source, all calculations were performed, facilitating easier traceability, more effective consolidation checks, and improved auditability.
The final computed core values and performance metrics were stored in structured tables, supporting seamless downstream analysis and automated report generation.
Outcome
Outcome
The engagement resulted in a fully automated and modular system that clearly separates raw data ingestion, calculation processes, structured data outputs, and reporting components. Manual interventions were significantly reduced, enabling faster, more efficient production of risk management outputs. This enhanced agility has empowered the bank to make timely, informed decisions and strengthened its overall risk management capabilities.
Strategic Themes Addressed
Strategic Themes Addressed
- Data automation and process optimisation
- Enhanced risk management and reporting efficiency
- Strengthening governance and data integrity
Key Skill Sets Utilised
Key Skill Sets Utilised
- Process flow design and optimisation
- Data and calculation automation (Excel & Power Query)
- Dashboarding and report generation (Power BI)
Business Areas Impacted
Business Areas Impacted
- Risk monitoring and management
- Liquidity and ALCO reporting
- Credit risk assessment and provisioning
Insights: Key Learnings & Industry Implications
Insights: Key Learnings & Industry Implications
Establishing a unified and centralised data source is critical for financial institutions aiming to streamline reporting and decision-making. A “single source of truth” mitigates data redundancy, enhances consistency across departments, and reduces discrepancies — ultimately fostering a culture of data-driven decision-making and operational excellence.
Conclusion
Conclusion
By automating risk management data processes and reporting, Aspect Advisory enabled the international development bank to significantly improve efficiency, reduce operational risk, and strengthen data governance. The solution not only addressed immediate reporting challenges but also laid the foundation for future scalability and innovation in risk and performance management.