SSIS to Informatica Intelligent
Cloud Services (IICS)
Leading primary care provider migrates from SSIS to Informatica Intelligent Cloud Services (IICS)
Next Pathway is an Elite Snowflake Partner, trusted by global enterprises to deliver end-to-end modernization, from deep discovery to production cutover.
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What Next Pathway's Leading Primary Care Provider Case Study covers
A Leading Primary Care Provider migrated SSIS to Informatica Intelligent Cloud Services (IICS) in just 9 months. Next Pathway’s automation platform translated 500 SSIS packages and stored procedures, accelerated migration to a cloud native ETL architecture, and eliminated the need for an interim modernization state.
Automated SSIS to IICS Migration
Next Pathway used SHIFT Cloud to translate 500 SSIS packages and stored procedures to Informatica Intelligent Cloud Services within the project timeline. The migration demonstrated the speed and flexibility of automated code translation for large scale ETL modernization initiatives.
Cloud Native ETL Modernization
The project enabled the organization to modernize legacy ETL pipelines to support scalability and new business use cases. By migrating directly to IICS, the company established a fully cloud native architecture designed for long term growth and operational flexibility.
Faster Transition Without Interim Complexity
Next Pathway’s automated migration approach eliminated the need for an interim modernization phase and accelerated the move away from legacy SSIS environments. The resulting cloud native solution provided a proven framework for efficient ETL migration while improving scalability and cost efficiency.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
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What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
What a structured Snowflake migration covers
A successful migration to Snowflake requires a clear plan across four disciplines.
Discovery and dependency mapping
Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.
Code translation and modernization
Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.
Validation and functional parity
Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.
Production cutover planning
Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.
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