{"slug":"axa-japan-unifies-data-and-modernizes-analytics-with-databricks","url":"https://findausecase.com/use-cases/axa-japan-unifies-data-and-modernizes-analytics-with-databricks","title":"AXA Japan Unifies Data and Modernizes Analytics with Databricks","description":"AXA Japan, formed through the integration of its life and property & casualty insurance businesses under the OneAXA transformation, consolidated multiple legacy data lakes and Redshift/Oracle-based systems into a single governed lakehouse on Databricks, using a lift-and-shift approach with automated code conversion of legacy ETL logic into dbt models on Databricks SQL. Unity Catalog centralizes access governance across business units. AXA Japan reports up to 60% lower warehouse costs, 70% lower ETL costs for migrated workloads, and roughly 40% faster development after retiring legacy systems, and is now building toward production machine learning use cases spanning fraud detection to customer support automation on the same platform.","company":"AXA Japan","industry":"Financial Services","aiCapabilities":["Machine Learning"],"technology":["Databricks SQL","Unity Catalog","dbt"],"deployment":"Public Cloud","problemStatement":"As AXA Japan joined its life and P&C businesses under a broader OneAXA transformation, it faced a familiar enterprise challenge: too many disconnected systems. Each business had built its own data lake, legacy applications, and operational processes over time.","solutionApproach":"AXA Japan approached the migration as a phased modernization rather than a full rebuild, consolidating separate data lakes while gradually retiring legacy Redshift and Oracle-based systems. The team used automated code conversion to move legacy ETL logic from Oracle and Informatica into modern SQL workflows, including dbt models running directly on Databricks SQL, and centralized governance with Unity Catalog to enforce access boundaries across business units.","businessValue":"AXA Japan reduced warehouse costs by up to 60% and cut ETL costs by 70% for certain parts of the migration effort, and reports nearly 40% faster development after the migration.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/axa-japan","dates":{"publishedAt":"2026-09-07T09:01:17.873Z","publishedAtSource":"pipeline","updatedAt":"2026-09-07T09:01:17.873Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/axa-japan-unifies-data-and-modernizes-analytics-with-databricks. Bulk republication requires permission."}