MAXIMIZING FINANCIAL INTELLIGENCE - THE ROLE OF OPTIMIZED ETL IN FINTECH DATA WAREHOUSING

Data management is crucial in sustaining competitiveness and challenges regarding regulations in fintech. This management involves the Extract, Transform, Load (ETL) method that entails the extraction of data, the transformation of that data, and the loading of data warehouses. This paper evaluates practices for ETL operations in the financial context of data warehousing, with a focus on the novel technologies and methods. Tackles include data quality, real-time processing, and security; solutions range from machine learning to cloud-based ETL to cross-functional collaboration. This paper also examines the implementation of sustainable IT practices. Thus, using these solutions, fintech companies can increase the data processing speed, leverage business insights, and meet regulations, which will help them advance in the industry.