Construction of Decision Support System for Enterprise Sustainable Management Based on Big Data

Abstract

In this study, a decision support system for sustainable management of enterprises based on big data is constructed to address the challenges of sustainable development faced by enterprises in the era of big data. The system integrates real-time data flow analysis and prediction models to realize an integrated process from data collection, processing, analysis to decision support. The study improves the efficiency of data flow and value mining by developing a system model with a four-tier architecture, and establishes a comprehensive system of sustainability management indicators by applying advanced technologies such as machine learning. The system also provides a visualization interface with interactive tools to assist management in making quick decisions. Practical results show that the system significantly improves the efficiency and accuracy of corporate decision-making, effectively promotes the balanced development of economic benefits and social responsibility, and provides strong support for corporate sustainable development.