An analysis method of enterprise activity based on big data mining
An analysis method and activity technology, applied in the field of enterprise management, can solve the problems of inability to display the enterprise activity state intuitively, completely and accurately, limitations and incompleteness, and complicated calculation process, so as to improve calculation targeting, The effect of simplifying calculation and improving calculation efficiency
Active Publication Date: 2021-05-11
四川云恒数联科技有限公司
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Problems solved by technology
Most of the evaluation methods for enterprise activity in the prior art are to establish a set of index system to judge the enterprise activity value, which has great limitations and incompleteness, the calculation process is complicated and the calculation efficiency is poor, and it cannot be reported to the management. Personnel intuitively, completely and accurately display the activity status of enterprises in the managed area
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[0026] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.
[0027] In this example, see figure 1 As shown, the present invention proposes a method for analyzing enterprise activity based on big data mining, comprising steps:
[0028] S10, obtain all enterprise data in the region from the multi-dimensional enterprise official management organization in the evaluation area, and integrate the multi-source enterprise data to obtain the enterprise big data in the evaluation area;
[0029] S20, extracting feature values from the enterprise big data, constructing enterprise big data with feature labels; classifying the enterprise big data into industries according to the feature labels, and arranging according to the industry activity of each industry in all industries included in the enterprise big data , to construct an industry mat...
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The invention discloses an enterprise activity analysis method based on big data mining, which includes obtaining enterprise big data from the multi-dimensional enterprise official management organization in the evaluation area; dividing the enterprise big data into industries, and constructing an industry matrix H with activity levels; Each industry element in the matrix is analyzed at the lower level, and an enterprise matrix Q with activity levels is constructed; a network map of enterprise activity is established, and the obtained network map of enterprise activity is displayed to managers. Through multi-dimensional hierarchical processing and analysis, on the basis of calculation efficiency, the present invention can obtain the enterprise activity guidance results that accurately fit the actual situation; it can enable managers to intuitively, completely and accurately obtain the activity of each enterprise in the managed area The degree status can help managers to effectively control precise objects and improve the efficiency of enterprise management.
Description
technical field [0001] The invention belongs to the technical field of enterprise management, and in particular relates to an enterprise activity analysis method based on big data mining. Background technique [0002] With the rapid development of social development and national economy, there are more and more enterprises in each region, which makes the overall management of enterprises more difficult. How to monitor each enterprise to each enterprise from a macro perspective Effective management is also increasingly complex. [0003] Enterprise activity is an important indicator that can measure the status quo of enterprise development. Most of the evaluation methods for enterprise activity in the prior art are to establish a set of index system to judge the enterprise activity value, which has great limitations and incompleteness, the calculation process is complicated and the calculation efficiency is poor, and it cannot be reported to the management. Personnel intuiti...
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IPC IPC(8): G06F16/26G06F16/953G06Q10/06
CPCG06Q10/06393G06F16/26G06F16/953
Inventor 郑伟陈浩朱正华许武
Owner 四川云恒数联科技有限公司