Displaying "Analytics" articles (23)
Unlock Your Data’s Potential: A Guide for European Insurers
European non-life insurers are transforming how they manage data—shifting from fragmented systems to centralised strategies that drive innovation, efficiency, and competitive edge. This guide explores how to turn data from an operational burden into a strategic advantage.
Unlock the Power of Modeling and Advanced Analytics
Unlock the potential of your business with Earnix, where advanced analytics and predictive AI meet seamless integration. Our platform simplifies the entire analytics lifecycle for both beginners and experts, empowering you to make informed decisions while ensuring regulatory compliance and enhancing transparency.
Earnix Lending Plus: Integrated AI-Driven Pricing Analytics and Credit Risk Decisioning Platform
Earnix Lending Plus combines advanced pricing analytics, price optimization, and simulation capabilities with automated credit risk decisioning in a single solution. With Earnix Lending Plus, lenders avoid lengthy and costly software implementation cycles while getting a tight grip on the entire pricing and credit decisioning process.
Improving the Effectiveness of Model Development and Deployment
In concert with Earnix Price-It, Model Accelerator provides a comprehensive, end-to-end model management workflow, including model building, orchestration, deployment, and monitoring.
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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.
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 for P&C
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.