Research on Big Data Analysis and Intelligent Decision Support System Under Cloud Computing Environment

This paper deeply discusses how to mine valuable information in massive data to assist decision makers to make more accurate decisions. Firstly, this paper designs and implements an intelligent decision support system based on LSSVM regression analysis algorithm, which can effectively process and analyze big data and provide real-time and accurate data analysis results for decision makers. The introduction of LSSVM regression analysis algorithm not only improves the speed of data processing, but also significantly improves the prediction accuracy of DSS. In order to verify the performance of the system, a series of system simulations are carried out in this paper. Through comparative experiments, the decision support ability of the system is significantly better than that of the traditional decision support system when processing data sets of different sizes. The simulation results show that the prediction accuracy of the system is increased by 15% and the processing speed is increased by 20% on average when processing large-scale data sets. In addition, this paper also analyzes the application of the system in different scenarios, including marketing, supply chain management and financial risk prediction, and shows the wide applicability and high efficiency of the system in practical applications.