Example Shiny Apps


Machine Learning


Predict payment on insurance claims using machine learning and run simulations to capture the variability inherent in real world claims




Basic Claims Analytics


View insurance claims at different points in time. Filter claims by state and claim status. Analyze frequency, severity, and changes in claim values over time. Download the claims for further analysis on your computer.




Predictive Modeling


Model that predicts insurance claim status and payments. It includes predicted values and the actual values for comparison. It can be adapted to any line of business and expanded to predict ultimate payments.




Frequency Severity Sim


Frequency / severity claims simulations using various probability distributions. The simulations can be used to provide confidence levels for ultimate loss amounts and value excess policies at different retention limits.




Medicare Map


Interactive map for exploring average Medicare claim costs accross the United States




Interest Rate Walk


Run a Cox-Ingersoll-Ross random walk or a bootstrap resampling of treasury yield changes




Bootstrap Simulation


Simulations bootstrapped from historical claim values after applying trend and development. Results can be used to develop loss picks and compare excess policies. Download a report when you are finished.