Case Study: Valen Analytics achieves better risk assessment and boosts growth and retention with Infor Birst

Valen Analytics propels growth and improves retention with better risk assessment

Valen Analytics, an Insurity company, provides proprietary data, analytics, and predictive modeling for property & casualty insurers. Faced with the need to better assess the risk of each customer or policy, detect early signs of dissatisfaction that predict cancellations, and create a risk-quality scale to forecast behavior, Valen needed a way to analyze more data sources and deliver actionable insights to underwriters.

Using Infor Birst, Valen built an automated, scalable analytics backend with advanced visualization and predictive models that give underwriters real-time, data-driven insights for quoting, renewals, risk selection, and fraud detection. The solution enabled policy and premium rankings on a 1–10 scale and delivered measurable impact—helping customer Farm Bureau cut its loss ratio by 66% while growing premium by 30%.

Valen Analytics

Greg Penn

Vice President of Operations