Reducing System Complexity in Finance Transformation: A Case Study Approach

Abstract

the context of organizational finance transformation programs. While transforming and innovating in response to changing market forces, financial systems become increasingly complex, resulting in inefficiency and decision-making, reporting, and compliance challenges. This study determines the necessity of reducing the complexity of finance systems in transformation using a case study approach for finding, assessing, and implementing viable measures. The research focuses on organizational finance transformation initiatives and determines the necessity of streamlined processes, improved system integration, and the application of state-of-the-art technology in addressing complexity. The existing research gap is characterized by a lack of in-depth studies that present real-world case examples of how organizations have effectively mitigated system complexity in finance transformation programs. Although existing studies have examined transformation frameworks, there remains a lack of emphasis placed on the practical challenges and associated solutions concerning system complexity. The aim of this research is to cover the gap by analyzing case studies across sectors, evaluating the challenges encountered, and presenting actionable recommendations with the aim of minimizing complexity.  The findings that accrue are a strategic reference for organizations seeking to enhance their finance transformation programs, enhance operational efficiency, and drive long-term value creation.