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Informatica to ADF & Snowflake

A Large Insurance and Wealth Management Company Modernizes Informatica Workflows to ADF & Snowflake

A Large Insurance and Wealth Management Company Modernizes Informatica Workflows to ADF & Snowflake
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What Next Pathway's A Large Insurance and Wealth Management Company Case Study covers

A Large Insurance and Wealth Management Company migrated Informatica Workflows to ADF and Snowflake in just 6 months. Next Pathway’s automation platform translated and migrated 2,500 IICS objects to Azure Data Factory, modernized legacy ETL architecture to cloud native ELT processing, and accelerated migration to a scalable Snowflake environment.

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Accelerated Informatica to ADF Migration

Next Pathway used its SHIFT Translator to translate and migrate 2,500 IICS objects to Azure Data Factory running on Snowflake. The migration demonstrated the speed and flexibility of automated code translation for large scale cloud modernization initiatives.

Cloud Native ELT Modernization

The migration enabled the company to transition from a legacy ETL architecture to a modern ELT framework with processing executed directly on Snowflake and ADF. This modernization improved scalability and aligned the organization with a fully cloud native data platform strategy.

Reduced Technical Debt and Improved Scalability

Next Pathway delivered a proven migration approach that moved the organization directly to its target cloud architecture without an interim modernization phase. The resulting platform improved scalability, reduced future technical debt, and enabled more cost efficient cloud native data processing.

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1 Billion+

Lines of code translated automatically

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months
100% automated code translation with SHIFT
Seamless compliance and financial reporting throughout cutover
Real-time analytics and AI-ready data on a unified platform
Download Case study
Snowflake Modernization Guide

What Industry Analysts Say

Image (Rob Enderle)
Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."
Eric Kavanagh
Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

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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