Case Study: Simplifying ECL Calculation with Collaborative Workflow

Overview Expected Credit Loss (ECL) calculation is a critical activity for companies, especially during uncertain economic times. Our company developed an end-to-end user workflow for ECL calculation to reduce operational overheads and facilitate real-time collaboration.

Problem Statement Our client, a financial institution, was facing difficulties in developing and updating ECL calculation models. The company needed a solution that would simplify the user experience and facilitate end-to-end user workflow for ECL calculation. Solution Approach We designed a microservices-based application architecture using the Django (Python) framework. We converted the complex data gathering pipeline required for ECL calculation to a simple user flow that facilitated real-time collaboration. Our application helped reduce the operational overheads involved in ECL calculation. Key Features and Benefits Our ECL calculation workflow application offers the following features and benefits:

Simple User Flow: We developed a user-friendly interface that simplifies the end-to-end user workflow for ECL calculation. The application offers a simple user flow that minimizes the complexities of ECL calculation and ensures accurate results.

Real-Time Collaboration: Our application offers real-time collaboration that enables multiple users to work on the same ECL calculation model simultaneously. This feature eliminates data silos and ensures data consistency. Simplified UX: Our application offers a simplified user experience that reduces the time and effort involved in ECL calculation. Users can easily input data and obtain accurate results, thereby enhancing their productivity. Reduced Operational Overheads: Our application reduces the operational overheads involved in ECL calculation. The application automates the data gathering process, thereby reducing the time and effort involved in data preparation. Conclusion Our ECL calculation workflow application simplifies the end-to-end user workflow for ECL calculation, reduces operational overheads, and facilitates real-time collaboration. Our client has benefited from our application, which has helped them to develop and update ECL calculation models accurately and efficiently. We hope this case study will help potential clients facing similar problems and looking for solutions on predictive analytics.