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MODERN DATA DISCOVERY AND INTEGRATION IN RETAIL BANKING

June 13, 2019 | (2:00 pm)
USA (United States of America)
Retail banks are moving beyond the data warehouse and data lake and are now implementing data fabric architectures to address data discovery and integration challenges. Dynamic use cases, including Customer 360, Product Recommendation and Fraud, require a new approach to self-service, on-demand access to analytics-ready data. By including a data discovery and integration layer based on semantic and graph technology, the data fabric can make vast collections of enterprise data from diverse, siloed source systems available to the business for integration as highly blended analytics-ready datasets.