Case Study: First Hawaiian Bank achieves real-time reporting and customer 360 with Fivetran

First Hawaiian Bank unlocks real-time reporting and customer 360

First Hawaiian Bank, Hawaii’s oldest and largest financial institution, needed a faster, more scalable way to manage customer, operational, and financial data. Its legacy on-prem batch jobs, hand-coded SQL, and file-based integrations were slow, manual, and difficult to maintain, creating data silos, governance gaps, and delays in reporting and decision-making. The bank chose Fivetran to modernize data movement across systems including Oracle, SQL Server, Salesforce, Amazon S3, and more, with Snowflake as the analytics destination.

With Fivetran, First Hawaiian Bank automated ingestion, improved schema handling, and built trusted data pipelines that feed dbt models and unified views in Snowflake. The result was 66% faster dashboard creation, pipeline build times cut from up to 12 weeks to 1 week, and self-service access to near-real-time data for retail planning, wholesale, and wealth teams. Fivetran also helped reduce operational overhead and freed data engineers to focus on advanced analytics, predictive modeling, and AI/ML initiatives.

First Hawaiian Bank

Michael Lawrence Gallagher

Data Product Delivery Manager