Senior Professional in Data Engineering and Analytics, California, USA.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 937–945
Article DOI: 10.30574/wjaets.2025.15.3.1001
Received on 30 April 2025; revised on 07 June 2025; accepted on 09 June 2025
The modernization of enterprise financial data architecture has emerged as a strategic imperative for organizations seeking to enhance decision-making capabilities, operational efficiency, and business agility. Traditional financial infrastructures—characterized by fragmented systems, manual processes, and limited analytical capabilities—can no longer support the increasing demands placed on finance functions. This technical article presents a comprehensive framework for transforming financial data architecture through cloud-native platforms, integrated data pipelines, and innovative organizational paradigms such as data fabric and data mesh. It explores how organizations can unify disparate financial systems into a governed environment that enables automation, self-service analytics, and AI-powered insights. The article addresses implementation challenges through a structured transformation roadmap that balances technical implementation with organizational change management. By adopting the architectural patterns and implementation strategies outlined, finance organizations can evolve from transaction processors to strategic business partners, delivering enhanced value through data-driven insights and forward-looking capabilities.
Financial data architecture; Cloud-native platforms; Predictive forecasting; Data integration; Self-service analytics
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Nilima James Rodrigues. Transforming enterprise finance with data-centric architectures and platform integration. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 937-945. Article DOI: https://doi.org/10.30574/wjaets.2025.15.3.1001.