Enabling Unified Data Access and Analytics Using a Logical Data Architecture
Credit Agricole is one of the world's largest cooperative financial institutions with a revenue of 26.6B Euros and 142,000 employees. It has operations in more than 30 countries and provides a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management. The Credit Agricole Corporate and Investment Banking division (CACIB) leveraged data virtualization to build a logical data fabric that provides an efficient way of integrating data from different business silos to create a shared view of enterprise data.
CACIB's chief data management goal was to enable unified data access and analytics that enabled users to extract insights from data residing in both internal and external systems, without replication on every need. Since CACIB wanted their users to be able to discover and access existing data directly from the data sources, it was crucial that all data governance and security regulations were being followed. These requirements led CACIB to the Denodo Platform, which uses data virtualization to enable a logical data fabric that provides data access, ingestion, integration, and sharing capabilities in a distributed environment, without further complicating the architecture.
Princess Jamelyn Ramos, one of the Data & Analytics Team Heads at Crédit Agricole CIB Singapore, will walk you through how the company’s logical data fabric evolved over time and will cover;
- The challenges that Crédit Agricole faced in leveraging data
- How Crédit Agricole implemented logical data fabric using data virtualization
- Recipes for success, for similar implementations