Article Details

Abstract

To address the issues of low data utilization, low cross-departmental collaboration efficiency, and insufficient decision-making support in enterprise digital transformation, this research designs and implements an online data conference system based on a general framework. By analyzing the limitations of traditional document-based collaboration models, such as data latency and low collaboration efficiency, this research constructs a data-centric conference application model. The proposed system architecture encompasses a data source layer, a data service layer, a tool support layer, and a general conference framework layer, enabling functional modules such as conference management, catalog configuration, and data synchronization. Empirical validation in real enterprise scenarios demonstrates that the system significantly improves conference preparation efficiency and data consistency, enhances data-driven decision-making capabilities, and provides a feasible approach for enterprise data empowerment.

Keywords

data collaboration; online data conference system; data-driven; business intelligence; enterprise informatization

References

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About the authors

Wang Guofeng (1983-), male, Han ethnicity, from Xingtai, Hebei Province, is a senior engineer and a master's student. His research direction is enterprise informatization; Wu Lijun (1990-), female, Han ethnicity, from Zhangjiakou, Hebei Province, China, senior engineer, master's student, research direction: data governance; Li Hongxing (1994-), female, Han nationality, from Heze, Shandong, engineer, master's student, research direction: data governance; Zhang Mengruo (1995-), female, Han ethnicity, Shanxi Datong, engineer, master's student, research direction: digitalization of equipment; Wang Yuxuan (1998-), female, Han nationality, from Tieling, Liaoning, engineer, master's student, research direction: enterprise informatization.