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.