{"slug":"abn-amro-s-financial-services-digital-transformation-at-a-global-scale-with-databricks","url":"https://findausecase.com/use-cases/abn-amro-s-financial-services-digital-transformation-at-a-global-scale-with-databricks","title":"ABN AMRO's financial services digital transformation at a global scale with Databricks","description":"ABN AMRO, the third-largest bank in the Netherlands, moved from a centralized on-premises data warehouse and siloed teams to the Azure Databricks Data + AI Platform, operationalizing it within a couple of months. The platform, using Delta Lake for reliable data pipelines and MLflow for deploying machine learning models, gave over 500 engineers, scientists and analysts shared access to data. ABN AMRO uses the platform for machine learning-based fraud detection to identify anomalous behavior such as money laundering, a marketing automation stack for faster, more relevant customer product recommendations, and a client dashboard giving support teams a near real-time view of customer assets and transactions. The bank delivered its use cases 10 times faster than with its previous infrastructure, with over 100 additional use cases planned.","company":"ABN AMRO","industry":"Financial Services","country":"Netherlands","aiCapabilities":["Predictive Analytics"],"businessFunctions":["Marketing","Customer Service & Support"],"technology":["Databricks Data + AI Platform","Delta Lake","MLflow","Azure","PowerBI"],"deployment":"Public Cloud","problemStatement":"ABN AMRO's ability to modernize their business was hamstrung by legacy infrastructure and a centralized on-premises data warehouse that complicated access to data across various sources and created inefficient data processes and workflows, with highly disparate teams working in isolation without true collaboration.","solutionApproach":"ABN AMRO shifted to the Azure cloud and operationalized the Databricks Data + AI Platform within a couple of months, using Delta Lake for reliable data pipelines and MLflow for deploying machine learning models, giving over 500 engineers, scientists and analysts shared access to data. The bank uses machine learning for fraud detection to identify anomalous behavior such as money laundering, a marketing automation stack for faster and more relevant customer product recommendations, and a client dashboard giving support teams a near real-time view of customer assets and transactions.","businessValue":"ABN AMRO delivered use cases 10 times faster than with its previous infrastructure (initial use cases deployed within 2 months), with over 500 empowered business and IT users, and more than 100 additional use cases planned over the coming year.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/abn-amro","dates":{"publishedAt":"2026-08-31T09:01:03.073Z","publishedAtSource":"pipeline","updatedAt":"2026-08-31T09:01:03.073Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/abn-amro-s-financial-services-digital-transformation-at-a-global-scale-with-databricks. Bulk republication requires permission."}