Author(s)

Jia Liu ¹

Affiliation(s)

¹ Guochuan Group Co., Ltd., Beijing, 100000, China

Corresponding Author

Jia Liu

ABSTRACT

This article aims to discuss the construction and application of business management decision support system (DSS) based on big data. This article adopts a systematic approach, analyzes the application status and challenges of big data in business management decision-making, and puts forward the construction scheme of business management DSS based on big data. The model design of this article follows the design principles of systematicness, flexibility and user-friendliness, and defines the system goals of improving decision-making efficiency and promoting data-driven cultural transformation. By constructing a system architecture including data acquisition layer, storage and processing layer, analysis and mining layer and decision support layer, it provides a comprehensive solution for enterprise decision support. The results show that the business management DSS based on big data can significantly improve the efficiency and accuracy of enterprise decision-making, reduce the risk of decision-making, and promote the transformation of data-driven culture within enterprises. Through the implementation of the system, enterprises can make better use of big data resources and optimize management processes.

KEYWORDS

Big data; Business administration; Decision support system; System construction; data driven

CITE THIS PAPER

Jia Liu, Business Administration Decision Support System Based on Big Data. Industrial Engineering and Innovation Management (2024) Vol. 7: 107-112. DOI: http://dx.doi.org/10.23977/ieim.2024.070413.

REFERENCES

[1] Sun Xinbo, Wang Haoxian, Zhang Yuan, et al. Implementation mechanism of digital business model innovation in big data-driven manufacturing enterprises [J]. Technical Economy, 2023, 42(6):60-72.
[2] Rui Haiyan, Gao Changchun, Tang Bingyong. Coordinated control model of smart home system based on big system and big data [J]. Journal of Natural Science of Heilongjiang University, 2019, 36(1):99-108.
[3] Ding Xuechen, Liu Xielin. Analysis framework of enterprise innovation management change in the era of big data [J]. Scientific Research Management, 2018, 39(12):1-9.
[4] Wu Yinghuan. Research on the application of big data in enterprise marketing management innovation [J]. Economics, 2021, 3(6):54-55. 
[5] Liang Yanhua. Design of Intelligent Enterprise Management System Based on Big Data [J]. Modern Electronic Technology, 2019, 42(06):158-161.
[6] Wu Qiong. Application of enterprise management accounting in the era of big data [J]. Economics, 2021, 4(4):68-70.
[7] Huang Wei, Liu Xia, Wei Qiang, et al. Innovation of enterprise product crisis management model based on big data [J]. Management Review, 2019, 31(07):37-44.
[8] Zhang Hongxin. Optimization of enterprise procurement cost management under the background of big data [J]. Economics, 2022, 5(2):55-57. 
[9] Mao Yanhua. Research on income tax incentives and R&D investment of small and medium-sized science and technology enterprises based on enterprise big data [J]. Scientific Management Research, 2023, 41(3):113-120.
[10] Yang Yang, Xie Jiasong, Lin Jianhao, et al. Study on the influence of regional intergenerational mobility on family management [J]. Journal of management sciences in china, 2020, 23(10):21-39.
[11] Kang Liangguo, Wu Chao. Big data-driven enterprise smart security performance management model [J]. Science and Technology Management Research, 2021, 41(10):185-192.

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