Model Management Framework Implementation Case Study

This case study outlines the implementation of a Model Management Framework by Tiger Analytics for a Fortune 500 Property and Casualty (P&C) insurer. The objective was to enhance real-time model and data monitoring, significantly reducing manual model retraining efforts and performance degradation. The framework consists of four core components: Model Inventory, Data and Model Monitoring Framework, Dashboards for Business Intelligence Reporting, and Model Retrain Framework. Each component addresses specific challenges faced by the client, such as the absence of real-time monitoring and lengthy manual retraining processes. The implementation resulted in a 70% reduction in data scientist efforts and decreased model training time from 4-5 weeks to 2-3 weeks. The study details the technical stack utilized, including tools like Kibana, AirFlow, and AWS services, and emphasizes the value delivered through improved monitoring capabilities and proactive model retraining.