Mobile application platform and method for enterprise industry chain analysis

Abstract

The invention proposes a mobile application platform and method aimed at the analysis of the enterprise industry chain, and the application platform is composed of an industry analysis server and a mobile terminal. The industrial analysis server includes four subsystems: enterprise data collection and storage, industrial chain intelligent analysis, user licensing and billing, and data open service. The application platform can find out a series of enterprises that meet the user's search requirements in the service system according to the search instruction input by the user, and transmit them to the mobile terminal for display. Aiming at the disadvantage that the screen space of mobile terminals is not suitable for displaying complex relationship diagrams, this application platform converts complex enterprise association relationships into hierarchical display of tree structure diagrams connected by characteristic words, so as to facilitate users to read and operate. The platform can realize the automatic query and message push of relevant enterprises according to the enterprise information filled in when the user registers, and the platform also provides an interface to provide open data services to other application developers.

Description

technical field [0001] The invention relates to the technical field of industrial chain data analysis, in particular to a mobile application platform and method for analyzing an enterprise's industrial chain. Background technique [0002] The existing industry chain modeling naturally constructs corresponding big data models based on the big data content obtained by various subjects in production, work, and life. The systemization of the process of building big data models has great limitations, and the industrial value is weak. , most of them can only search a large number of tables and related charts based on part of the information of the target industry; the searched information cannot be sorted and correlated, and the analysis results cannot be displayed on the mobile terminal. The commonly used mobile terminal login method is cumbersome. Users need to remember the password they set at all times when using it. When the user forgets the password, he needs to perform vari...

AI Technical Summary

Problems solved by technology

[0002] The existing industry chain modeling naturally constructs corresponding big data models based on the big data content obtained by various subjects in production, work, and life. The systemization of the process of building big data models has great limitations, and the industrial value is weak. , most of them can only search out a large number of tables and related charts based on part of the information of the target industry; the searched information cannot be sorted and correlated, and the analysis results cannot be displayed on the mobile terminal. The commonly used mobile terminal login method is cumbersome. Users need to remember the password they set at all times when using it. When the user forgets the password, he needs to perform various operations to retrieve or reset it; at the same time, the common industrial chain analysis model cannot distinguish between the target company and the associated company. Intelligent analysis of the similarity between industries can only judge the correlation between industries based on artificial thinking. Therefore, the related information of an enterprise in the industrial chain of the industry cannot be intuitively reflected, and the positioning of the enterprise is not accurate. The inaccurate positioning judgment of the enterprise leads to errors in the analysis of the enterprise. Therefore, in order to reduce the error and accurately locate the target enterprise, a mobile application platform and method for the analysis of the enterprise industry chain is proposed.

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