Expect the unexpected - winning in a volatile market with agility and fairness
Peter Reynolds from Earnix talks about how organizations can create a system that enables advanced analytical data handling at scale, smarter automation, and real-time price deployment.
The Price is Right: Using Predictive Analytics to Deliver Personalized Insurance
In this case study, hear how Gore Mutual Insurance and Earnix used predictive analytics solutions to deliver dynamic pricing and personalized insurance products for customers.
Leveraging Scenario Based Analytics and Preparing for the Unexpected with Capgemini
Join Earnix & Capgemini on a discussion on how the use of scenario-based analytics can shrink time-to-insight, time-to-value, and time-to-impact so organizations can optimally respond to both threats and opportunities.
Brochure: Earnix Advanced Analytics - The Future
It’s safe to say that most insurers today see the real potential in using much more business data to develop innovative new pricing offers their customers will love. Yet the majority of them simply don’t have an effective way to collect, manage, and model the mountains of data at their disposal in a meaningful way.
Gain a New Competitive Edge with End-to-End Insurance Automation
Fast, efficient pricing is critical to any insurer’s success, yet most pricing approaches today still require too much manual effort. Now there’s a better way - The Earnix Price-It platform.
Integrated Machine Learning
Earnix's Integrated Machine Learning capabilities vastly improve the precision of advanced predictive analytics, while automating and speeding time-to-market decision making.
Powerful & Seamless Analytical Pricing for Banking
With Earnix, banks can build pricing models in the integrated Earnix model creation tools or integrate them from third-party platforms with ease. Models become an integral part of the pricing system and can be immediately used in forecasting and pricing activities. As integral parts of the pricing infrastructure, models are also fully auditable.




