Case Study: Large Banking and Financial Services Company accelerates data analytics with Precisely Connect

International Credit Union leverages mainframe data with Connect to build market-leading solutions

A large banking and financial services company, a major credit union serving nearly 10 million members worldwide, needed a way to overcome the limitations of IBM mainframe data so it could support data-driven, AI-powered, and cloud-native operations. The team wanted faster access to customer data for analytics, innovation, and personalized member services, but mainframe complexity made it difficult to use that data across modern systems.

Precisely provided Connect to ingest and forward mainframe data into a Microsoft Azure Databricks “Data Ingestion Factory,” using CDC and batch ETL to move data from Db2/z, IMS, and VSAM into cloud analytics platforms. With Precisely Connect, the company can now collect, curate, and deliver over one terabyte of ready-to-analyze customer data in just 8 hours, cutting data wrangling time for developers and data scientists from about 80% to 20% and helping the organization focus more on advanced analytics and machine learning.