Displaying "Transformation" articles (55)
Gore Mutual Partners with Earnix to Improve Pricing and Rating Processes
Here’s how Gore Mutual used Earnix to improve its modeling, rating deployment and pricing processes — all from a single, end-to-end platform.
Common Errors in the Pricing Process
While insurance companies and their embedded pricing teams had the best of intentions, more often than not, they wound up with a pricing environment made up of too many tools, too much manual effort, and too much that could go wrong. Here's a closer look at the many challenges caused by a fragmented approach to pricing and rating, and the over-reliance on too many disparate solutions.
Mastering Product Personalization via Data Innovation
Gain a deeper understanding of what Product Personalization is, its value, and what data is most critical to fully automate in the Product Personalization process.
Driving ROI Through Digital Transformation eBook
Demonstrating IT leadership in the insurance industry today goes well beyond the traditional tasks of automating manual processes, maintaining the status quo, and making incremental improvements in people, processes, and technology. IT has become more deeply embedded in, and more critical to, business success than ever before.
Real-Time Banking Pricing Decisions. Big Time Results
Through its real-time pricing solution, Earnix gives banks the power to deliver pricing and personalization - faster than ever before. A solution that is capable of complex modeling, analytically driven automation, testing and deployment.
Take Insurance Governance Into Your Hands
Our webinar explores how an organization-wide digital transformation goes hand in hand with thorough governance and compliance.
Personalization in the world of Insurance Webinar
Join Earnix for a webinar on the past, present, and future of personalization in the Insurance industry.
How Banks can Thrive in a Post-Corona Era
We talk to Dan Bolland, Associate Partner, Sia Partners, about the dramatic changes in risk/reward classification and how organizations can move ahead without valid historic behavioral models.