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.
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.
The Dataiku Solution for Insurance Claims Modeling with GLM helps answer a broad range of questions like:
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.
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.