Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Design and Implementation of Enterprise Management Intelligent Decision System Based on Data Analysis

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322710,
        author={Wenting  Xue},
        title={Design and Implementation of Enterprise Management Intelligent Decision System Based on Data Analysis},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={intelligent decision; data analysis; hadoop; java},
        doi={10.4108/eai.17-6-2022.2322710}
    }
    
  • Wenting Xue
    Year: 2022
    Design and Implementation of Enterprise Management Intelligent Decision System Based on Data Analysis
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322710
Wenting Xue1,*
  • 1: Wuhai Vocational and Technical College
*Contact email: 147398403@qq.com

Abstract

In recent years, the severe situation at home and abroad has led to the increasingly complex trend of China's market development and the increasingly fierce competition among enterprises. If an enterprise wants to stand in such a market environment stably for a long time, it must formulate relevant coping strategies according to the changing laws and demands of the market. The design and development of enterprise management intelligent decision-making system based on data analysis in this paper is to help managers in different departments of enterprises collect relevant data and analyze the changing trend and development law of the most useful information mining market, and make scientific decisions according to the data, so as to ensure the accuracy of decision-making. The Hadoop cluster is used to collect and analyze the most favorable information, extract effective data, and then combine the time series algorithm in data mining technology to predict the risks and costs of enterprises according to the collected data. Finally, Java technology is used to visualize the data for users to view. The development of this system helps enterprise decision makers to analyze the required data and improve their management and decision-making ability.