Cloud-Native Architectures for Enterprise Financial Data Management, Analytics, and Regulatory Reporting Compliance
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V2I2P112Keywords:
Cloud-Native Architecture, Financial Data Management, Regulatory Reporting, Enterprise Analytics, Data Governance, Data Lakehouse, Cloud Computing, Real-Time Analytics, Data EngineeringAbstract
Organizations using traditional financial data management infrastructures are facing many difficulties due to the explosive growth of enterprise financial data, the growing regulatory requirements and the need for real-time enterprise data analysis. For legacy systems, common challenges include data silos, inconsistencies in scalability, long reporting periods and challenges in keeping with changing regulatory needs. The study delves into how cloud-native architectures are reshaping financial data management, analytics, and regulatory reporting in enterprise environments with their scalability capabilities, resilience features, and governance-driven platforms. The goal of the research is to create an architectural vision that encompasses data ingestion, storage, processing, analytics, security and compliance capabilities for creating a unified architecture that is cloud-native. It proposes to implement a cloud-based data lakehouse architecture using containerized microservices, automated data pipelines, realtime streaming platforms and centralized management solutions to enable efficient finance operations and financial reporting. The effectiveness of the framework in solving the problems of data integration, scalability, compliance and performance is analyzed using design science and architectural analysis methodology. The results show that these cloud-native financial platforms can have a massive impact on data quality, processing efficiency, reporting accuracy, operational agility and regulatory transparency, while minimizing infrastructure complexity and lowering operating expenses. The paper offers a practical reference architecture, implementation guidelines and governance framework for modern financial enterprises. These results offer organizations profound insights into the modernisation of financial data ecosystems, advanced data analytics solutions and the acceleration towards sustainable regulatory compliance, particularly in today's data-driven business world.
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