Upgrade of Streaming Data Processing Architecture and Construction of Enterprise Dynamic Decision-Making Capabilities

DOI: https://doi.org/10.62517/jse.202511515

Author(s)

Zikun Yuan

Affiliation(s)

Jiangxi University of Finance and Economics, Nanchang, China

Abstract

This article focuses on the significant importance of upgrading the streaming data processing architecture for the construction of an enterprise's dynamic decision-making capabilities. Firstly, the connotation and development of the streaming data processing architecture were expounded, and the challenges faced by the traditional architecture and the necessity of upgrading were pointed out. Then, an in-depth analysis was conducted on how the upgraded streaming data processing architecture provides strong support for enterprise dynamic decision-making in multiple aspects such as data acquisition, processing efficiency, and analysis capabilities. A detailed discussion was also carried out on the positive impacts of the architecture upgrade on the enterprise's decision-making process, decision quality, and decision timeliness. Finally, it is emphasized that enterprises should attach importance to the upgrade of the streaming data processing architecture to enhance their dynamic decision-making capabilities in the complex and ever-changing market environment and achieve sustainable development.

Keywords

Streaming Data Processing Architecture; Architecture Upgrade; Enterprise Dynamic Decision-Making Capability

References

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