Global Insurance Company modernizes their legacy Oracle / Informatica platform to Snowflake
A successful enterprise modernization that transformed Oracle and Informatica into a modern Snowflake ecosystem.
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 Global Insurance Provider Case Study Covers
A leading multinational insurance provider modernized Oracle Exadata and Informatica to Snowflake with Next Pathway's Enterprise Legacy Intelligence Platform, creating a scalable cloud-native data platform for faster analytics, regulatory compliance, and AI.
Oracle Exadata and Informatica Modernization
A leading multinational insurance provider modernized its legacy Oracle Exadata and Informatica environment to the Snowflake AI Data Cloud using Next Pathway's Enterprise Legacy Intelligence Platform, accelerating cloud adoption through intelligent automation.
Snowflake-Powered Cloud Data Platform
Next Pathway transformed legacy ETL processes into a modern ELT architecture on Snowflake, enabling near real-time data processing, improved scalability, and simplified data management for enterprise workloads.
AI-Ready Data Foundation
The new cloud-native platform provides a scalable foundation for advanced analytics, regulatory compliance, and future AI initiatives, helping the organization deliver faster insights and long-term business agility.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
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Read the case study to see how Next Pathway delivered:
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Download the case study to see how a global luxury brand accelerated its migration to Snowflake and DBT and established a modern foundation for analytics and AI.
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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