Improving healthcare insurance with a modern data platform

CZ is tackling the limitations of their legacy data infrastructure, a mix of SAS and Cloudera, which struggle to support new business demands for data analysis. These siloed systems are often inefficient, inflexible, and struggle to perform at cloud scale. Supporting these systems creates complex data management processes that limit business agility. CZ realized the need for a modern solution to streamline data access and deliver data mesh and self-service analytics across their business. 

CZ’s legacy data architecture requires specialized skills to manage, which are limited to their central data team, creating a bottleneck and limited access to data. As a result, business units requesting new data access or transformations face long wait times while the central team juggles ongoing maintenance tasks with new projects. This greatly impacts CZ's ability to make data-driven decisions in a timely manner across the organization.

CZ leverages Prophecy’s cloud-native, highly intuitive data transformation capabilities to  seamlessly integrate with Databricks. This combination eliminates the inflexibility of their legacy systems and enables efficient data transformation at scale. Prophecy is streamlining CZ’s data pipeline development, with the goal of freeing the central data team and empowering business users to take ownership of their data for faster insights.

By utilizing Prophecy’s AI-powered visual designer CZ is working to remove the data engineering bottlenecks associated with pipeline development. This data mesh, self-service approach equips business users with the ability to review and develop their own data pipelines and generate high-quality, open source code. This will foster greater business agility and speed data transformation for faster decision-making.