Year: 2025
Type: article
Abstract: This article examines a transformative initiative within a major financial services organization's revenue processing system. The organization faced growing architectural complexity in data transformations that threatened system maintainability, adaptability, and financial accuracy. Through a methodical approach combining comprehensive assessment, architectural redesign, and phased implementation, the organization successfully simplified its data mapping architecture. The implementation introduced multi-level column logic, enhanced traceability, modularization, and automated validation. These innovations yielded substantial benefits including improved financial accuracy, enhanced operational efficiency, increased maintenance agility, greater system transparency, and reduced risk exposure. The article demonstrates how targeted architectural simplification can yield disproportionate benefits in complex financial environments while challenging the notion that functionality improvements necessitate increased complexity. The article's findings offer valuable insights for organizations facing similar challenges with legacy financial systems and contribute to understanding architectural debt management in mission-critical environments
Author: Kiran Kumar Reddy Pamuru
Institution: Google (United States)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411219452