Ứng dụng Data Lakehouse trong quản trị khách hàng tại ngân hàng

Amidst the rapid digital evolution reshaping the banking landscape, the demand for a comprehensive, flexible, and personalized customer relationship has become increasingly imperative. Yet, conventional Customer Relationship Management (CRM) systems encounter notable constraints in data amalgamation, real-time analytics, and adherence to contemporary data governance standards. This manuscript advocates for the implementation of the Data Lakehouse Data Lakehouse architecture as a viable technological solution that amalgamates the robust features of Data Lakes and Data Warehouses to facilitate scalable storage, streamlined querying, and seamless fusion of varied data origins within banking infrastructures. The study presents the fundamental structure of the Lakehouse architecture and analyzes its functional layers in relation to CRM integration. The findings suggest that Data Lakehouse not only enhances analytical and decision-making capabilities but also serves as a strategic foundation for banks to adapt to market volatility and comply with increasingly stringent regulatory requirements. Keywords: Data Lakehouse, Data Warehouse, Data Lake, Customer Relationship Management (CRM), Banking.