Case Study: National Australia Bank enhances customer experiences and AI with Fivetran

National Australia Bank enhances customer experiences and powers GenAI

National Australia Bank (NAB), one of Australia’s largest financial institutions, needed to modernize a fragmented legacy data environment that was driving high costs, duplicated data, outages, and limited access to expertise. To support better customer experiences and future GenAI use cases, NAB turned to Fivetran and Databricks as part of its enterprise data strategy.

Using Fivetran to ingest more than 200 siloed sources into a Databricks lakehouse on AWS, NAB replaced nightly batch processing with real-time data replication and change data capture (CDC). Fivetran helped NAB cut data ingestion costs by 50%, improve machine learning and SQL query performance by 30%, and migrate 1,000+ users to access data, while enabling new AI-driven initiatives such as banker chat assistants, financial crime detection, and automated document review.

National Australia Bank

Joanna Gurry

Executive of Data Platforms