Next Pathway Inc.

In today’s competitive landscape, legacy systems can hold businesses back from achieving full data potential. A global hospitality company faced this challenge—and with the help of Next Pathway and their Shift Cloud platform, they modernized their data infrastructure with ease. The company moved its Informatica ETL workflows to Snowflake as part of their broader cloud transformation. With Shift Cloud’s automation, they: Migrated complex workflows seamlessly to Snowflake Reduced the risk of manual errors and downtime Gained real-time insights and future-proofed their analytics capabilities This Snowflake data migration case study showcases how Next Pathway’s tools and expertise helped the company accelerate its cloud migration, delivering faster time-to-insight and setting the stage for future innovation. Download the Full Case Study to see how Next Pathway made this transformation possible. Get the Case Study

Cloud adoption is no longer optional—it’s mission critical. For many enterprises, legacy tools like Informatica can slow innovation, especially when real-time analytics and scalability are key to business growth. That’s exactly the challenge one global hospitality company faced. With thousands of ETL workflows built on Informatica and data stored in legacy systems, they needed a way to modernize quickly—without rewriting code from scratch or disrupting operations. The solution? A fully automated Informatica to Snowflake migration that transformed their data infrastructure and unlocked the full power of the cloud. In our Snowflake data migration case study, you’ll learn how this organization: Gained full visibility into complex legacy code Automated the conversion of Informatica workflows for Snowflake Reduced manual effort, risk, and cost Set the foundation for real-time data insights and AI readiness The company didn’t just migrate—they modernized. And they did it in record time. But ...

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 operati...

  Modernizing legacy data systems is critical for insurance companies aiming to stay competitive. A leading U.S.-based property and casualty insurer successfully migrated its SSIS data warehouse to Azure Data Factory, leveraging Snowflake to transform its data platform into a scalable, cloud-native solution. This successful SSIS to Azure Data Factory Migration is a prime example of modernization in action. The insurer’s on-premise SSIS environment had become increasingly difficult to maintain and scale due to complex ETL workflows and custom-built logic. To address these challenges, they partnered with Next Pathway , utilizing tools like CRAWLER360 to analyze dependencies and SHIFT Cloud to automate the conversion of SSIS workflows into Azure Data Factory pipelines. Azure Data Factory for Insurance Companies like this one offers a robust solution for scalable data integration. Snowflake’s advanced cloud architecture provided the performance and scalability needed for future grow...