Case Study
3 companies powering AI innovation with automated data integration
National Australia Bank, HubSpot, and Saks showcase how Fivetran powers AI and GenAI innovation through automated data integration. NAB unified 200+ data sources into a Databricks lakehouse, cutting ingestion costs by 50%, boosting ML model performance by 30%, and enabling use cases from fraud detection to AI-led document review. HubSpot centralized HR and recruitment data, achieving 90% accuracy improvements in predictive metrics, cutting pipeline build times from weeks to under an hour, and saving $100,000 annually in engineering labor. Saks ingests dozens of sources every five minutes, fueling AI-driven personalization, KPI reporting, and ML experiments at scale.
