Machine Learning-based Integration Strategies for Oracle EPM and ERP Systems

Abstract

This paper presents recent progress in machine learning techniques to extend integration between Oracle Enterprise Performance Management (EPM) and Enterprise Resource Planning (ERP) systems. Based on an extensive review of existing challenges in the current integration and newly developed technologies within ML, it proposes new strategies in automated data mapping and intelligent workflow orchestration and predictive analytics. Our findings clearly reflect better consistency in the process of integration for efficiency, precision, and scalability by implementing machine learning algorithms in schema matching, anomaly detection, and natural language processing related to data query operations.