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Leading Insurance company migrates from Informatica PowerCenter and SSIS to Azure Data Factory

Leading Insurance company migrates from Informatica PowerCenter and SSIS to Azure Data Factory

Leading Insurance company migrates from Informatica PowerCenter and SSIS to Azure Data Factory
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What Next Pathway's Leading Insurance Company Case Study covers

A Leading Insurance company migrated Informatica PowerCenter and SSIS to Azure Data Factory in just 9 months. Next Pathway's automation platform delivered translation of 3,000 Informatica and SSIS jobs, superior quality in translated jobs, and automated migration at cloud scale.

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Accelerated ETL Modernization

Next Pathway translated approximately 3,000 Informatica and SSIS jobs to Azure Data Factory within a 9 month timeframe. The migration moved the client from a legacy ETL architecture to a cloud native ELT approach using Azure Data Factory pipelines.

Automated Migration at Scale

Using the AI enabled SHIFT Cloud platform, Next Pathway automated the translation of Informatica workflows, sessions, mappings, and SSIS control and data flows to Azure Data Factory. The platform demonstrated speed and flexibility while handling large scale migration workloads.

Cloud Native Outcomes Delivered

The migration successfully transitioned all SSIS code to Azure and Snowflake, allowing the client to retire legacy SQL Server systems and SSIS packages. Next Pathway also provided ADF and DevOps infrastructure support to help the client operate in the new cloud ecosystem.

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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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