Enterprise management decision-making assisting system and method

A technology of enterprise management and auxiliary systems, applied in the field of enterprise management decision-making auxiliary systems, can solve the problems of large amount of data and low efficiency of manual analysis of data, etc.

Pending Publication Date: 2021-03-05
ZHUZHOU QIANJIN PHARMA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an enterprise management decision-making assistance system and method for overcoming the technical defects of the larg

Method used

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  • Enterprise management decision-making assisting system and method
  • Enterprise management decision-making assisting system and method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Such as figure 1 As shown, an enterprise management decision-making assistance system includes a data acquisition module 1, a data analysis module 2, a form generation module 3, a control module 4 and a visualization module 5; wherein, the visualization module 5 includes several levels of visualization sub-modules ;

[0044] The output end of the data acquisition module 1 is connected with the input end of the control module 4, and the output end of the control module 4 is respectively connected with the input ends of the visualization sub-modules of each level, and the data analysis module 2, table generation Module 3 is connected with described control module 4 respectively;

[0045] The data collection module 1 is used to collect basic data;

[0046] The data analysis module 2 is used to analyze and calculate the basic data collected by the data collection module 1 to obtain index data;

[0047] The table generation module 3 is used to generate an energy efficienc...

Embodiment 2

[0072] Such as figure 2 As shown, a method for assisting enterprise management decision-making is realized based on the described auxiliary system for enterprise management decision-making, including the following steps:

[0073] S1: collect basic data through the data collection module 1, and classify the collected basic data through the data classification module 6, and store the classified basic data in the data storage module 7;

[0074] S2: Call the basic data in the data storage module 7 through the data analysis module 2 to analyze and calculate, obtain the index data, and store the index data in the data storage module 7;

[0075] S3: generate an energy efficiency table through the table generation module 3 according to the index data stored in the data storage module 7, and store the energy efficiency table in the data storage module 7;

[0076] S4: Establish a forecasting model through the forecasting module 8 according to the historical index data in the data stor...

Embodiment 3

[0080] This embodiment is implemented based on the enterprise management decision-making assistance system described in Embodiment 1.

[0081] First, divide the enterprise into levels, including enterprise level, department level, group level and individual level, and divide each department, each group, and each individual into independent subunits at the department level, group level, and individual level ; Then, guided by the profit data, an internal market exchange relationship is established between each sub-unit, and the exchange price and floating range are uniformly formulated by the company, and each sub-unit conducts "market exchange" according to the unified price; for example, the company purchases from the production department For products, the marketing department purchases products from the company, the manufacturing department purchases semi-finished products from the comprehensive department, and the comprehensive department purchases raw materials from the pur...

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Abstract

The invention provides an enterprise management decision-making assisting system. The enterprise management decision-making assisting system comprises a data acquisition module, a data analysis module, a table generation module, a control module and a visualization module. The invention also provides an enterprise management decision-making assisting method, and the method comprises the followingsteps: S1, collecting basic data, and carrying out classification on the basic data; S2, calling the basic data for analysis and calculation to obtain index data; S3, generating an energy efficiency table of the current stage according to the index data; S4, establishing a prediction model according to the historical index data to obtain an energy efficiency table of the next stage; and S5, displaying the energy efficiency tables of the current stage and the next stage. According to the enterprise management decision-making assisting system and method provided by the invention, an enterprise decision maker can quickly grasp the operation condition of each level in an enterprise through the energy efficiency tables displayed by the visual sub-module of each level, and the problems of largedata volume required to be processed and low efficiency of manually analyzing data in the current medical enterprise management are solved.

Description

technical field [0001] The present invention relates to the field of enterprise management auxiliary equipment, and more specifically, relates to an enterprise management decision-making auxiliary system and method. Background technique [0002] Business Intelligence (BI, Business Intelligence), that is, business intelligence, is a complete set of solutions, which are used to effectively integrate existing data in the enterprise, provide reports quickly and accurately, and propose decision-making basis to help enterprises make decisions. Smart business decision making. [0003] At present, the management of pharmaceutical enterprises needs to deal with a large amount of data. Relying on manual analysis of data has defects such as heavy workload and low efficiency. Decision makers often cannot discover problems in time, cannot make correct decisions and responses, and cause serious waste of resources. question. [0004] In the prior art, such as the Chinese patent disclosed...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/0637G06Q10/10Y02P80/10
Inventor 江端预
Owner ZHUZHOU QIANJIN PHARMA
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