Saving Allstate countless hours

Turning project learnings into repeatable results

Allstate is no stranger to innovating through analytics — it's been pioneering their use since 1939. Today it serves over 16 million households, generating a quantity of data so vast it requires a unified data science platform.

Saving Allstate countless hours

Challenge

Without historical records or version controls, it often took Allstate's team months to recreate existing models or obtain answers to regulatory questions. And with work scattered across different file systems, the team struggled to build on past research as they developed new models.

Solution

Allstate ran a pilot using Domino's data science platform across three of its projects, giving its team:

One-click access to key infrastructure
One-click access to key infrastructure

Data scientists could code in any language they preferred, including R, Python, and SAS. Plus, new hires could get started much faster by working from pre-built environments.

Fully collaborative workspaces
Fully collaborative workspaces

Staff could build, test, and iterate on models in sync, tracking changes and sharing feedback in real time. Leaders gained a comprehensive view of project progress.

Built-in documentation
Built-in documentation

The team could now track artifacts and build on past models. No need to start every project from scratch or sift through prior work to answer audit questions.

 

The team found Domino so useful, they ramped up the scope of projects from three to 26 just two months into the pilot.

Results

Now Allstate's team uses the Domino platform to reliably and securely develop, validate, deliver, and monitor new models for use cases like forecasting losses, uncovering new insights into claims, calculating customer lifetime value, and predicting potential customer churn.

Faster resolutions

for 17,000+ claim adjusters

Better collaboration

for 300+ data scientists

Lower compliance risk

on millions of claims

The less time and effort we have to spend relearning or recreating results, the more time we can spend creating additional value, and the more projects we can support.

— Eric Huls, Chief Data and Analytics Officer, Allstate

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