From Legacy to Modern: Automating Data Modernization with DBShift™

A leading U.S.-based insurance and financial services provider partnered with Systech to modernize their data environment and move to a modern architecture built on Snowflake and DBT. This transition played a critical role in improving performance, enhancing scalability and increasing visibility across critical reporting functions. 

As the client’s data needs continued to grow, their environment built on Informatica and Oracle Stored Procedures began to fall behind. Processing became slower and less predictable and teams had limited visibility because of the lineage was opaque and documentation was outdated. This made even routine maintenance difficult and time-consuming. 

To overcome these challenges, Systech introduced DBShift™, its flagship GenAI-powered accelerator for modernizing legacy workloads. DBShift™ helped automate the transition to Snowflake and DBT, making the process more efficient and easier to manage. The modernized setup now supports smoother operations and positions the client to scale future analytics and AI initiatives. 

Business Needs 
The client needed a more reliable and future-ready data environment that could keep pace with growing business demands. Their key priorities were to: 

• Enhance Performance – Improve processing consistency and ensure the platform can handle the increasing data volumes. 

• Improve Visibility – Strengthen clarity around data movement to simplify troubleshooting and maintenance. 

• Accelerate Modernization – Transition from legacy components to a Snowflake + DBT architecture using a faster, automated approach. 

• Reduce Effort & Risk – Limit manual migration work, reduce human error and control overall modernization costs. 

Challenges 

Growing data volumes exposed performance gaps in the client’s legacy environment, resulting in slower and less predictable processing. Visibility was restricted due to incomplete lineage and outdated documentation, complicating maintenance. As a result, modernizing the legacy codebase through traditional approaches would require significant time, effort and cost. 

Solution 

Systech implemented a GenAI-powered automation framework to modernize the client’s legacy pipelines. Legacy Informatica and Oracle workflows were transformed into a Snowflake + DBT architecture, creating a faster, more maintainable and scalable environment. 

• Automated Code Conversion – Converted legacy Informatica and Oracle workflows into Snowflake and DBT using DBShift™, accelerating modernization and reducing manual effort. 

• DBT Modernization – Updated workflows to follow DBT best practices, improving maintainability, modularity and reliability. 

• Transparent Modernization – Delivered full visibility into the entire conversion process, enabling tracking and validation from start to finish. 

• Operational Readiness – Prepared client teams for seamless adoption, ensuring minimal disruption and supporting future analytics initiatives. 

Impact 

The modernization brought clear improvements across the client’s data environment, making processes faster and more reliable. 

• 90%+ Automated Conversion – Converted the legacy codebase without manual intervention, reducing errors and operational risk. 

• Up to 4x Faster Migration – Completed the modernization up to four times faster than the traditional approaches, shortening timelines. 

• Significant Cost Savings – Reduced migration efforts and associated costs through automation and efficiency improvements. 

• Faster Time-to-Value – Enabled quicker delivery of analytics initiatives on the modern Snowflake + DBT platform. 

 With DBShift™, the client modernized legacy pipelines into a streamlined Snowflake and DBT environment, achieving faster processing, reduced risk and a scalable foundation for future analytics. 

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