Case Study: Milliman Consulting achieves scalable cloud-based actuarial modeling with Microsoft Azure Stream Analytics

A Microsoft Azure Stream Analytics Case Study

Preview of the Milliman Consulting Case Study

Top Actuarial Firm Transforms the Insurance Industry with Cloud Modeling Platform

Milliman Consulting, a leading actuarial firm serving the life insurance industry, needed to reduce the cost and complexity of financial modeling and reporting. Its on-premises grid computing was becoming expensive and difficult to scale as modeling demands and regulatory requirements increased, and actuaries were spending about 70% of their time managing data instead of analyzing results. Microsoft Azure Stream Analytics was part of the broader Azure cloud stack used in the solution, alongside Azure Data Factory, Azure HDInsight, and Azure Storage.

Milliman built its Integrate platform on Microsoft Azure to deliver actuarial modeling and data management as a cloud-based SaaS offering. The solution improved scalability, reduced infrastructure costs, accelerated time-to-market, and strengthened security and reliability. The company reported more than 600% growth in compute hours to about 45 million, grid sizes up to 50,000 cores, and a job completion ratio above 99.99%, while freeing actuaries to focus more on high-value analysis.


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Milliman Consulting

Tom Peplow

Principal Director of Product Development, Life Technology Solutions


Microsoft Azure Stream Analytics

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