Mobile application platform and method specific to enterprise industrial chain analysis

Abstract

The invention provides a mobile application platform and method specific to enterprise industrial chain analysis. The application platform consists of an industrial analysis server and a mobile terminal, wherein the industrial analysis server comprises an enterprise data acquisition and storage subsystem, an industrial chain intelligent analysis subsystem, a user permission and charging subsystem and a data open service subsystem. The application platform can find a series of enterprises meeting a user search requirement according to a search instruction input by a user, and transmit the found enterprises to the mobile terminal for displaying. Specific to the defect that the screen space of the mobile terminal is unsuitable for displaying a complicated relational graph, the application platform converts a complicated enterprise association relationship into a tree structure chart connected through feature words to be displayed in a hierarchical form, so that the user can perform reading and operations conveniently. The platform can realize automatic inquiry and message pushing of relevant enterprises according to enterprise information filled by the user during registration, and provides an interface for providing an open data service for 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 enterprise industrial chain analysis. Background technique [0002] The existing industrial chain modeling naturally constructs corresponding big data models based on the big data content obtained by various entities in production, work, and life. The process of constructing big data models has large limitations and weak industrial value. Most of them can only search for a large number of tables and related charts based on partial information of the target industry; they cannot organize and associate the searched information, nor can the analysis results be displayed on the mobile terminal. The commonly used mobile terminal login method is more cumbersome. The user needs to remember the password he set at all times when using it. When the user forgets the password, he needs to perform a variety of operations to retrie...

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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