ERP Analytics and Its Influence on Organizational Productivity

Abstract

This study examines the impact of Enterprise Resource Planning (ERP) analytics on organizational productivity and business performance through a secondary research approach. ERP analytics refers to the use of data analysis, reporting tools, and real-time information within ERP systems to support better decision-making and improve business operations. The study is based on previously published journals, research papers, and scholarly articles collected from sources such as Google Scholar, Scopus, and IEEE Xplore between 2000 and 2024.
The findings show that ERP analytics improves organizational efficiency through better information quality, streamlined business processes, improved coordination, and faster decision-making. The research also highlights important success factors such as business process re-engineering, system quality, management support, employee training, and user satisfaction. In addition, factors like firm size, industry type, and ERP usage duration influence organizational performance outcomes.
The study also identifies challenges including high implementation costs, resistance to change, and system integration difficulties. Using the Resource-Based View (RBV) framework, the research concludes that ERP analytics can enhance productivity and competitive advantage when technology is effectively aligned with organizational goals, people, and business processes