Automated Risk Assessment in SAP Financial Modules through Machine Learning

Automated risk assessment within SAP financial modules using machine learning (ML) techniques represents a critical advancement in enhancing organizational resilience and regulatory compliance. This survey explores the integration of ML algorithms—such as classification, regression, and anomaly detection—into SAP ERP systems to enable real-time identification and mitigation of financial risks. Key challenges including data quality assurance, interpretability of models, and regulatory compliance are addressed, emphasizing the importance of robust IT infrastructure and interdisciplinary collaboration. The novelty of this research lies in its comprehensive analysis of advanced ML applications tailored to SAP environments, offering insights into scalable solutions for operational efficiency and strategic decision-making. By leveraging these innovations, organizations can navigate dynamic financial landscapes, optimize risk management strategies, and foster sustainable growth.