SSIS to IICS
A Fortune 500 Health Insurance Provider wanted to decommission their legacy SQL Server pipelines to 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 A Fortune 500 Health Insurance Provider Case Study covers
A Fortune 500 Health Insurance Provider wanted to decommissioned their legacy SQL Server pipelines to IICS using Next Pathway’s automated migration platform. The project validated automated SSIS to IICS translation, supported migration planning for more than 2,000 SSIS packages, and accelerated the customer’s broader cloud migration business case.
Automated SSIS to IICS Translation
Next Pathway conducted a proof of concept to translate legacy SQL Server Integration Services packages into Informatica Intelligent Cloud Services equivalent pipelines. Using SHIFT automated translation technology, the project demonstrated the feasibility and effectiveness of cloud based ETL modernization.
Accelerated Cloud Migration Planning
The customer was pursuing a full cloud modernization initiative where SSIS migration represented a major complexity and cost challenge. Next Pathway’s automated translation approach reduced migration risk, prevented prolonged timelines, and supported faster planning for enterprise cloud adoption.
Proven Scalability for Enterprise Modernization
The pilot successfully translated a subset of SSIS packages into IICS pipelines, providing empirical evidence for full scale migration execution. Following the successful validation, the organization proceeded with modernization plans covering more than 2,000 SSIS packages and its core SQL Server data warehouse.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
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ENDERLE GROUP
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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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