Modernizing Insurance Data for the Netherlands with CZ

CZ, the second largest healthcare insurance provider in the Netherlands, works to ensure that every insured individual in need of medical care should have access to it while maintaining an affordable premium. Data is a critical part of their work to provide healthcare, enable innovation, deliver personalized services, and maintain the financial health of the system and their organization. However, siloed systems and dedicated analytics and data science teams made adding new data and delivering new data products a complicated and lengthy process.

To modernize their analytics, the team turned to Databricks to manage the diverse and growing data. However, only the central data team had the Spark expertise to transform data and create data products. Adopting data mesh principles, the team is using Prophecy’s Data Transformation Copilot for Databricks to bring data experts from the business into the process of migrating from the current data systems to Databricks. Visual data pipeline creation, enhanced with AI, enabled everyone, even the Spark experts, to be more productive and deliver the enterprise-grade code needed to support critical insurance and healthcare data analytics.

Hear from Dave about how: