Insurance Data Warehousing Reimagined: SSIS Migration to Azure Data Factory with Snowflake

A top U.S.-based property and casualty insurer recently completed a SSIS to Azure Data Factory migration, leveraging Snowflake’s cloud-native capabilities to modernize its insurance data warehouse. This transformation highlights how insurance companies can overcome legacy system limitations while unlocking the benefits of cloud scalability.

The company faced challenges with its on-premise SSIS setup, which included complex ETL workflows and embedded custom logic that hindered scalability and efficiency. With Next Pathway’s support, they mapped dependencies using CRAWLER360 and automated workflow conversion through SHIFT Cloud. Snowflake cloud migration provided the foundation for a high-performance, scalable cloud platform tailored for future growth.

Post-migration, the insurer achieved faster analytics processing, simplified ETL workflows, and reduced costs by retiring legacy infrastructure. The move also enabled them to meet evolving regulatory demands while improving operational agility.

Learn how your organization can benefit from similar transformations by downloading the full Snowflake cloud migration case study on our website.

Location: United States

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