What We Do
Our claim predictive modeling solutions use client and industry data to provide early detection of potentially large claims, allowing for early intervention and helping reduce claim and claim management costs. We offer state-of-the-art analytical capabilities including traditional generalized linear models (GLMs) along with machine learning algorithms using leading analytics software, such as R, Python and SAS that can be seamlessly integrated into your systems.
We help clients build or enhance their data warehouse and/or data collection process and identify nontraditional datasets to improve predictive power. We assist and communicate with IT departments to ensure the right data is collected.
We enhance traditional statistics with advanced machine learning techniques, rely on client-specific data over industry data whenever credible, and obtain client feedback to ensure that the model is robust and fit to the purpose.
We tailor the implementation plan to your needs and systems, offering a range of implementation options – from hosted scoring tools, to integrating models into current systems.
Monitoring and updating
We refresh models to fit more recent client data/trends, develop scoring reports and custom dashboards to assess performance, and provide expertise to identify risk areas, identifying opportunities and converting analytic results into financial savings and diminished volatility.