DATA ANALYTICS TRANSFORMS OPERATIONS INTO EFFICIENT MANAGERIAL DECISIONS

Abstract

The transition from operational engineering to strategic management increasingly relies on analytical tools that transform continuous operational data into decision-oriented information. This narrative review examines how integrated data architectures, predictive and prescriptive analytics, operational monitoring, and organizational capabilities support decision-making in operations and logistics. The reviewed literature indicates that analytical methods can improve demand anticipation, route and inventory planning, bottleneck identification, and predictive maintenance, while implementation depends on data quality, technological infrastructure, security, governance, and analytical capabilities. The evidence also shows that data-driven decision-making should not be treated as a purely technological process: its effectiveness depends on the integration of quantitative methods with organizational processes and managerial judgment. Accordingly, the article discusses both the operational applications of analytics and the conditions required for their sustainable use in dynamic industrial and supply-chain environments.