Enterprise fund management system and method based on performance management and financial analysis

Abstract

The present invention relates to an enterprise fund management system and method based on performance management and financial analysis. The system includes a data analysis module, a data presentation module, a role right module and a performance management system; the data analysis module selects data from an ERP (Enterprise Resource Planning) system, makes a report by means of summarization according to a specific query screening condition, and realizes data analysis based on the report; the data presentation module is used for processing the report and data analysis result generated by the data analysis module to form a visual chart and generates a data report with role differences according to role rights; the role right module is used for defining the access rights of different roles during data presentation and assists the data presentation module to generate a targeted report; and the performance management system is used for recording the work achievements of staff associated with fund down payment in fund balance related operation. With the enterprise fund management system and method of the invention adopted, the structural barriers of original data are broken; data interfaces and specified screening condition logic are adopted to establish a multi-level-segmentation and multi-dimension-contrast fund chain related data analysis report.

Description

technical field [0001] The invention relates to an enterprise fund management system and method based on performance management and financial analysis. Background technique [0002] 1. China's manufacturing and trading companies exist in the situation of profitability, and the crisis of corporate survival caused by capital chain problems, and even the situation of corporate bankruptcy; [0003] 2. Non-manufacturing and trading enterprises also have conflicts between strategic choices and capital chain pressures. Enterprises that do not handle them well will also face a great survival crisis. A typical enterprise is LeTV; [0004] 3. In the process of practice, by citing Toyota's lean management theory, combining financial analysis theory and human resource performance management theory, constructing a closed-loop management logic from data analysis to decision-making to tracking completion, constructing relevant data tables, and using offline The way of channels can effecti...

AI Technical Summary

Problems solved by technology

[0002] 1. China's manufacturing and trading companies exist in the situation of profitability, and the crisis of corporate survival caused by capital chain problems, and even the situation of corporate bankruptcy;

[0003] 2. Non-manufacturing and trading enterprises also have conflicts between strategic choices and capital chain pressures. Enterprises that do not handle them well will also face a great survival crisis. A typical enterprise is LeTV;

[0005] 4. The use of manual reports and offline channels has the problems of data acquisition, processing, analysis, and decision-making that need to be handled manually. Relevant data tools to realize automatic data retrieval, logical analysis, automatic decision-making and corresponding task assignment;

[0006] 5. In the actual operation process, there is a need for operation effect tracking and feedback

[0013] First, there is no similar software or tool that focuses on the analysis and operation of the capital chain within the enterprise and related operational decisions in the prior art;

[0014] Second, existing tools, such as ERP systems, financial management software, human resource management software, and performance analysis software, already exist, but their data is relatively fragmented and there are barriers, and linkage analysis and management tracking cannot be realized. The premise is that interface docking and data retrieval logic optimization are required, but this logic is not displayed in the ERP system logic. Correspondingly, in the actual operation process, there are loopholes in data retrieval and data matching, and data analysis cannot be effectively realized. support for decision making

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