Optimize Claims Modeling in a Visual Environment
The Dataiku Solution for Insurance Claims Modeling with GLM creates a pricing model with historical policy data and generalized linear modeling (GLM) techniques. All aspects of the workflow are fully integrated into a single platform: data collection, feature selection, exploratory analysis, distribution fitting, predictive modeling, visual model exploration, and hand-off to other systems via API or export.
Develop GLM-Based Risk Pricing by Designing Complete Workflows
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.
Improve Existing Pricing Strategies
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.
Deploy Finalized Models With APIs
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.
Ensure Comprehensive Governance Controls
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.
Answer Key Insurance Claim Modeling Questions
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?
Go Beyond Linear 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.
The Total Economic Impact™️
Of Dataiku
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.
