You can model claims in a robust, visual, no-code environment, and make sure that all supporting steps (like data loading and transformation) and outputs (API, models) are easily connected and modified.

Rapidly develop detailed analytic insights and real-time experimentation with powerful exploratory data tools and interactive modeling. Smoothly evolve from a GLM-only approach to more advanced machine learning techniques with simplified output comparison.
Check out the claim modeling app

Enable real-time scoring by deploying your finalized models for use in other internal or external systems. Now, you can enhance both your upstream and downstream processes, including data collection and API connectivity.

Because all work happens in a centralized space with common datasets, tracked changes, and extensive model and process review, you can shorten new model time-to-market. Risk teams and other reviewers have simplified access to models and all supporting access to audit and test, sign-off, and audit trails guarantee ex-post reviews, and auditable versioning is organized in a matter of a few clicks.
Learn more about dataiku govern

The Dataiku Solution for Insurance Claims Modeling with GLM helps answer a broad range of questions like: How can I quickly revisit my pricing strategies for all my products using GLM? How can I shorten the time-to-market between modeling and validation through accelerated risk reviews? How can I gradually test and enhance my pricing approaches using newer modeling techniques, with full explainability and auditability? Can I further evolve my approach to risk modeling by integrating newer data sources in my pricing approaches, using different data techniques to extract insights from alternative data on new risks such as climate change and longevity?
Read the documentation on insurance claims modeling

Are you ready to leverage GLM today with a modern, agile, and fully-governed data science environment? Try the Dataiku Solution for Insurance Claims Modeling with GLM to deliver your existing workflows faster and with greater agility and oversight.