Year: 2025
Type: article
Abstract: The financial sector faces unique data integration challenges as institutions strive to connect diverse platforms spanning trading systems, customer databases, and regulatory frameworks. Integration patterns such as ETL processes, real-time data streaming, and API-based connectivity form the backbone of modern financial architectures, enabling cohesive data flow across organizational boundaries. Supporting technologies, including enterprise service buses, data lakes, and cloud integration platforms, provide the infrastructure for effective integration while governance frameworks ensure data quality and compliance. Future trends point toward AI-assisted integration, event-driven architectures, data mesh approaches, and blockchain integration, promising enhanced connectivity and operational efficiency. Financial institutions that successfully implement comprehensive integration strategies gain significant advantages in analytical capabilities, customer experience, and regulatory compliance, transforming fragmented information systems into unified ecosystems that drive business value and competitive differentiation.
Author: Abhilasha Hala Swamy
Institution: Goldman Sachs (United States)
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409395774