Snowflake Migration Case Study: SSIS Data Warehouse to Azure Data Factory on Snowflake



To remain competitive in today’s rapidly evolving landscape, insurance companies must modernize their legacy data systems. A leading U.S. property and casualty insurer partnered with Next Pathway to migrate their SSIS data warehouse to Azure Data Factory, leveraging Snowflake to improve scalability, performance, and efficiency. By using Next Pathway’s CRAWLER360 tool to map data dependencies and SHIFT Cloud to automate SSIS workflow conversion, the insurer was able to build a cloud-native data solution that is both highly scalable and cost-effective.

This migration to Snowflake enabled the insurer to significantly enhance their data scalability, optimize infrastructure costs, and boost overall operational efficiency. Snowflake's powerful cloud-native capabilities allowed them to handle vast amounts of data with ease, ensuring smooth and timely decision-making. By adopting these advanced technologies, the insurer successfully modernized their data management approach, gaining better performance, lower operational costs, and increased flexibility.

This Snowflake Migration Case Study serves as a prime example of how insurance companies can unlock greater business value by migrating to Snowflake. By adopting cloud-native technologies, insurers can streamline data processing and ensure greater agility in the marketplace.

👉 Read the full case study—Download now!

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