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Leading Fintech Provider Migrates Informatica PowerCenter and Netezza to IDMC and Snowflake

Modernizing Informatica PowerCenter and Netezza with a seamless transition to Informatica IDMC and Snowflake, enabling scalable data integration and cloud-native analytics.

Leading Fintech Provider Migrates Informatica PowerCenter and Netezza to IDMC-1
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What Next Pathway's Leading Fintech Provider Case Study covers

A Leading Fintech Provider migrated Informatica PowerCenter and Netezza to IDMC and Snowflake. Next Pathway's automation platform delivered migration of 11,000 Netezza objects, conversion of 8,000 Informatica PowerCenter objects, and project completion within six months.

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Accelerated Cloud Modernization

Next Pathway delivered a complete cloud modernization initiative within six months without disrupting business operations. Automated migration workflows reduced manual effort and accelerated project timelines.

Large Scale Automated Conversion

The migration included conversion of 8,000 Informatica PowerCenter objects to IDMC and migration of 11,000 Netezza objects to Snowflake. Automation improved consistency, reduced project risk, and increased testing accuracy across the environment.

Improved Scalability and Cost Efficiency

The transition from ETL to ELT improved scalability and analytics performance. Moving to Snowflake enabled a cloud native pay as you go model that reduced infrastructure costs and increased operational flexibility.

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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
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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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Informatica Migration Guide
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