Displaying "Pricing" articles (105)
Speed to Market Insurance & Product Optimization Management By Capgemini & Earnix
With the Capgemini-Earnix solution, product managers can effectively balance proft and growth by selecting from multiple scenarios with multiple pricing models such as Cost Plus, Life Time Value, and multiple Demand Models including acquisition and retention models.
The Industry's most Competitive Insurance Pricing Software
Today, there’s a real opportunity for P&C insurance companies that can quickly develop and deploy perfectly priced offerings to meet ever-changing market conditions and evolving customer demands.
Warta: 29% Market Growth with Earnix's end-to-end Analytics
Warta, one of Poland’s largest insurance companies, has achieved with Earnix seamless end-to-end pricing, outstanding control over their pricing process while being able to deploy prices within hours. Read on for more.
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.
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.
Shockproof Mortgage Pricing in the New Normal
Tomorrow’s banks must have the ability, powered by automated processes, to quickly adapt to changes. Mortgages, as one of the most significant lines of business, are no exception.
Understanding the Chaos Through Analytics - Webinar
We will walk you through the structure of an organization-wide agile analytics machine – along with some practical applications during and beyond the corona fallout.
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.