Displaying "Analytics" articles (43)

Earnix Model Accelerator

Earnix Model Accelerator

In the quest to be agile, insurers want to experiment and innovate with machine learning (ML) models in a mode that gives them maximum flexibility. They need an open platform such as Earnix that allows for mixing and matching the best models of all kinds – existing, new, or whatever the analytics team can dream up.

Using Pricing Analytics to Increase Loan Profitability and Mitigate Portfolio Risk

What strategies and tools can help lenders maintain their competitive position while focusing on the bottom line? We invite you to join our webinar discussing the role of AI-backed analytics in increasing profitability of auto loans and mitigating risk.

Revamping Insurance: Adding Cool to the Basics

Insurers need data-driven approaches to succeed in identifying new business opportunities, better serving customers, growing sales, and improving operations. Introducing: Intelligent InsurOps. Unlock advanced analytics for underwriting, dynamic pricing strategies, real-time rating, and fast delivery of personalized offers.

Innovation Roadmap for the Insurance Industry

Innovation Roadmap for the Insurance Industry

Earnix’s Model Accelerator overcomes software constraints by allowing Data Scientists to choose their preferred tools for modeling. Now, any machine learning model can be imported seamlessly into Earnix for underwriting, pricing and rating.

Alternative Deal Structures: Leveraging Advanced Pricing Analytics

Alternative Deal Structures: Leveraging Advanced Pricing Analytics

In today’s hyper-competitive automotive lending market, consumers have a wide variety of vehicle choices, shopping venues, and financing options. Alternative deal structures (ADS) have become a must-have way for lenders to keep potential borrowers from walking away, whether those consumers are buying in person or online.

Dynamic Decisioning and Analytics in Financial Services

Forward-thinking organizations in financial services now deploy sophisticated tools such as artificial intelligence (AI) and machine learning (ML) to upgrade the customer experience throughout the customer journey. These firms have rightly prioritized decisioning and analytics to remake their business models.

Dynamic Product Actualization

The insurance industry was built on managing risk, but today’s increasing pace of change in the marketplace requires product and pricing agility. Flexibility will allow insurers to respond to increases in claims costs, prototype new usage-based products, and prepare for new products on the horizon. Achieving this in a way that meets regulatory requirements necessitates new capabilities.

BavariaDirekt Achieves Faster, Smarter, More Personalized Insurance with Earnix

BavariaDirekt Achieves Faster, Smarter, More Personalized Insurance with Earnix

BavariaDirekt were spending too much time and effort managing the many steps required to update pricing models and deploy them in online channels. That’s why they opted for Earnix’s modern, end-to-end pricing platform to help them overcome such challenges.