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- W3203955235 abstract "At present, the construction of the information management system of domestic enterprises is becoming more and more perfect, and the data application is developing from the stage of original data collection and data use to the stage of data sharing between systems and refined data application. In the process of data application construction, it is necessary to form an enterprise data application sharing platform through a data support platform to provide a unified data standard system, data analysis theme, and data access interface for the data application of the upper business system. Therefore, this paper proposes a plan for building an enterprise information integration platform. The purpose is to integrate the business processes of the information system, establish an important foundation for building a data support platform, and realize centralized data storage and integration, reduce data redundancy, and enhance the value of data utilization. This article first studies the status quo of enterprise public data management, analyzes the common problems in the construction of enterprise data platforms, conducts business research and requirements analysis specifications, and then uses query customization tools, data collection tools and data dictionary comparison tools to design and a support software for an enterprise public data management platform is realized. Finally, this paper conducts a data query entry function test and an interactive performance test between system functions on the software. The results show that the enterprise public data management platform designed in this paper can perform normal data query and data entry, and the system functions can be successfully tested." @default.
- W3203955235 created "2021-10-11" @default.
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- W3203955235 date "2021-09-27" @default.
- W3203955235 modified "2023-10-05" @default.
- W3203955235 title "Design and Implementation of Enterprise Public Data Management Platform Based on Artificial Intelligence" @default.
- W3203955235 doi "https://doi.org/10.1007/978-981-16-5857-0_89" @default.
- W3203955235 hasPublicationYear "2021" @default.
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