Building scalable actuarial services
Milliman, an international actuarial and consulting firm, modernized its data infrastructure on the Databricks Data + AI Platform with Unity Catalog to ingest billions of healthcare and insurance data records and build actuarial and machine learning models. This delivered a 10x reduction in data storage costs, improved cross-cloud collaboration, and improved compliance through centralized, fine-grained auditing.
Overview
Milliman, an international actuarial and consulting firm, modernized its data infrastructure on the Databricks Data + AI Platform with Unity Catalog to ingest billions of healthcare and insurance data records and build actuarial and machine learning models. This delivered a 10x reduction in data storage costs, improved cross-cloud collaboration, and improved compliance through centralized, fine-grained auditing.
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Inspect the highlighted sourceThe challenge
As with many companies, the volume of data Milliman collects has grown exponentially over the years. And with data residing on both AWS and Azure, it became increasingly difficult for the company to keep track of what data it had, where it was located and who had access to it. Data access was also often limited by office and regions, which made it difficult for employees from different offices to collaborate and hindered potential innovation.
The solution
Milliman leverages Databricks Data + AI Platform to unify data, analytics and AI use cases on a single platform, which simplifies data operations and accelerates time to value. To simplify data governance, Milliman leverages Unity Catalog and benefits from a companywide data catalog with centralized access controls and fine-grained auditing capabilities.
Reported business value
As a result, the company saw a 10x savings in data storage costs. Unity Catalog has improved how Milliman employees work together by enabling just-in-time collaborative data exploration across clouds or regions, and helps Milliman meet stringent healthcare compliance standards.
Sources
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