Case Study: a leading insurance and financial services provider achieves 55% cost savings with Legacyleap’s Ab Initio to Java Spark migration

How Legacyleap Modernized A Credit Scoring Company’s Data Ecosystem from Ab Initio to Java Spark with Automated ETL Transformation

The client, a global leader in credit scoring, faced escalating costs and innovation barriers due to its dependency on 1.5 million lines of legacy Ab Initio ETL code. Vendor lock-in, an inability to integrate with cloud platforms, and the risk of losing undocumented business logic posed a significant threat. They engaged Legacyleap to find a migration path off the proprietary system without disrupting their critical data pipelines.

Legacyleap deployed its proprietary Ab Initio parser and Intermediate Representation framework to automate over 80% of the code transformation to Apache Spark and Airflow. This solution resulted in a 55% reduction in total cost of ownership, a 60% faster time-to-market for new products, and a 50-60% improvement in data processing speed. The migration was completed with zero data loss and full preservation of all business logic, successfully modernizing the client's entire data estate.