Information Analytics and Decision Support Systems

Abstract

This article provides a comprehensive analysis of the role and significance of information analytics and Decision Support Systems (DSS) in modern management. The study examines the importance of these systems in processing large volumes of data, conducting in-depth analysis, and supporting effective managerial decision-making in enterprises and organizations. The main components of DSS—database, model base, analytical module, and user interface—are explored from a scientific perspective. Furthermore, the integration of advanced technologies such as artificial intelligence, Big Data, and business analytics into decision-making processes is analyzed. The paper also highlights the current state, existing challenges, and future development prospects of implementing information analytics systems in Uzbekistan. The findings indicate that the effective use of these systems significantly enhances management efficiency, reduces errors, and improves the quality of strategic decisions.