CN114139916A - Method and system for custom configuration of enterprise evaluation model - Google Patents
Method and system for custom configuration of enterprise evaluation model Download PDFInfo
- Publication number
- CN114139916A CN114139916A CN202111414267.1A CN202111414267A CN114139916A CN 114139916 A CN114139916 A CN 114139916A CN 202111414267 A CN202111414267 A CN 202111414267A CN 114139916 A CN114139916 A CN 114139916A
- Authority
- CN
- China
- Prior art keywords
- enterprise
- data
- evaluation model
- server
- calculation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Accounting & Taxation (AREA)
- Economics (AREA)
- Finance (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method and a system for custom configuration of an enterprise evaluation model, which comprise an enterprise basic data collector, an asset evaluation server, a productivity and product sales data analysis module, a service quality survey data statistics server, a customer satisfaction survey server, a mobile asset turnover utilization rate calculation module and a macroscopic grading calculation module. Has the advantages that: the invention can define each value variable manually by using the data simulator, and can flexibly and changeably adjust the data calculation amount of the enterprise evaluation model system, so that the calculation mode of the enterprise evaluation model system is more flexible, the enterprise evaluation model system can participate in the macroscopic comparative analysis of similar assets in the market by using the macroscopic scoring calculation module, and each important index of the enterprise evaluation model system can be corrected and adjusted according to the specific condition of the market, so that the value evaluated by the enterprise evaluation model system can be effectively verified.
Description
Technical Field
The invention relates to the technical field of enterprise evaluation model systems, in particular to a method and a system for custom configuration of an enterprise evaluation model.
Background
The enterprise value evaluation is a comprehensive asset evaluation and is a process for judging and estimating the overall economic value of the enterprise. The evaluation of enterprise value is extremely important in enterprise operation decision, the objective of enterprise financial management is the maximization of enterprise value, whether each operation decision of an enterprise is feasible or not, and whether the decision is favorable for increasing the enterprise value or not must be seen. In the real economic life, the situations that an enterprise is transferred and merged as a whole often occur, such as enterprise merger, purchase, sale, reorganization and union operation, share operation, joint venture cooperation operation, guarantee and the like, all relate to the evaluation problem of the overall value of the enterprise, an enterprise evaluation model system mainly obeys or serves the property assignment or property trading of the enterprise, along with the deep improvement of the Chinese economic system and the push of modern enterprise systems, the application space of enterprise value evaluation is greatly expanded by the occurrence and increase of economic transaction behaviors of enterprise merger, purchase, share recombination, asset mergence, split setting, stock distribution, union operation and the like, and the role of enterprise value evaluation in market economy is more and more prominent.
1. Most of the existing enterprise evaluation model systems cannot manually define various numerical variables, so that the data calculation amount of the enterprise evaluation model system cannot be flexibly and changeably adjusted, and the calculation mode of the enterprise evaluation model system is single.
2. Most of the existing enterprise evaluation model systems cannot participate in the macro comparative analysis of similar assets in the market, so that various important indexes of the enterprise evaluation model systems cannot be corrected and adjusted according to the specific conditions of the market, and the value evaluated by the enterprise evaluation model systems cannot be effectively verified.
3. Most of the existing enterprise evaluation model systems do not account in the investigation of the overall service quality of an enterprise and the satisfaction degrees of different customers, so that the long-term stability of the scores obtained by the enterprise evaluation model systems after data analysis and calculation are completed is poor. Therefore, the scoring reference value of the enterprise evaluation model system is low.
Disclosure of Invention
The present invention is directed to a method and system for custom configuration of an enterprise evaluation model to solve the above problems.
The invention realizes the purpose through the following technical scheme:
a method and a system for custom configuration of an enterprise evaluation model are characterized in that: the system comprises an enterprise basic data collector, an asset evaluation server, a productivity and product sales data analysis module, a service quality investigation data statistics server, a customer satisfaction investigation server, a flowing asset turnover utilization rate calculation module, a macro scoring calculation module, a total scoring analysis server, a data memory and a data simulator; the system comprises the following specific working procedures:
scheme 1: collecting the basic data of the enterprise integrally according to the enterprise basic data collector, such as the benefit rate conversion value of the staff, the benefit rate conversion of factory instruments and the like, the product production yield and the like;
and (2) a flow scheme: evaluating and calculating the total quantity of the whole assets of the enterprise according to the asset evaluation server;
and (3) a flow path: carrying out quantitative conversion on the overall income of the product according to the productivity and product sales data analysis module;
and (4) a flow chart: carrying out investigation, analysis and arrangement on the service quality of the whole enterprise according to the service quality investigation data statistical server;
and (5) a flow chart: performing statistical analysis on the service satisfaction of different customers according to the customer satisfaction survey server;
and (6) a flow path: the calculation module can perform re-investment utilization on the cash assets of the enterprise according to the turnover utilization rate of the flowing assets, and analyze the risk interest rate, so that the cash asset benefits of the enterprise can be maximized;
scheme 7: according to the fact that the macroscopic scoring computing module participates in macroscopic comparative analysis of similar assets in the market, various important indexes of the enterprise evaluation model system can be trimmed and adjusted according to specific market conditions, and evaluation accuracy of the enterprise evaluation model is improved;
and (3) a process 8: the total scoring analysis server can be used for recording data reports and carrying out statistical analysis and calculation;
and (3) a process 9: the data storage is used for storing classification labels of various data, so that the data calculation efficiency of the total score analysis server is facilitated;
a process 10: the data simulator can simulate various reference values to be added into analysis and calculation, so that various scores can be added into trimming values, and the calculation of the enterprise evaluation model system can be more flexible and changeable.
Furthermore, the enterprise basic data collector and the productivity and product sales data analysis module calculate data to obtain the overall yield of the enterprise.
Furthermore, the survey statistics of the service quality survey data statistics server and the customer satisfaction survey server can ensure that the scores obtained by the enterprise evaluation model system after the data analysis and calculation are completed have good long-term stability.
Furthermore, the macroscopic scoring computation module can implant trimming variable values manually in advance, so that the accuracy of macroscopic reference computation amount is improved, and the scoring reference value of the enterprise evaluation model system is effectively improved.
The invention has the beneficial effects that:
1. according to the invention, each numerical value variable can be customized manually by using the data simulator, so that the data calculation amount of the enterprise evaluation model system can be flexibly and changeably adjusted, and the calculation mode of the enterprise evaluation model system is more flexible;
2. according to the invention, the enterprise evaluation model system can participate in the macro comparative analysis of similar assets in the market by using the macro scoring calculation module, so that each important index of the enterprise evaluation model system can be corrected and adjusted according to the specific market condition, and the value evaluated by the enterprise evaluation model system can be effectively verified;
3. the invention enables the enterprise evaluation model system to be capable of recording the overall service quality of an enterprise and the investigation of different customer satisfaction degrees by using the service quality investigation data statistical server and the customer satisfaction investigation server, thereby enabling the score obtained after the enterprise evaluation model system completes data analysis and calculation to have good long-term stability and improving the score reference value of the enterprise evaluation model system.
Drawings
Fig. 1 is a structural block diagram of a method and a system for custom configuration of an enterprise evaluation model according to the present invention.
Detailed Description
A method and a system for custom configuration of an enterprise evaluation model are characterized in that: the system comprises an enterprise basic data collector, an asset evaluation server, a productivity and product sales data analysis module, a service quality investigation data statistics server, a customer satisfaction investigation server, a flowing asset turnover utilization rate calculation module, a macro scoring calculation module, a total scoring analysis server, a data memory and a data simulator; the system comprises the following specific working procedures:
scheme 1: collecting the basic data of the enterprise integrally according to the enterprise basic data collector, such as the benefit rate conversion value of the staff, the benefit rate conversion of factory instruments and the like, the product production yield and the like;
and (2) a flow scheme: evaluating and calculating the total quantity of the whole assets of the enterprise according to the asset evaluation server;
and (3) a flow path: carrying out quantitative conversion on the overall income of the product according to the productivity and product sales data analysis module;
and (4) a flow chart: carrying out investigation, analysis and arrangement on the service quality of the whole enterprise according to the service quality investigation data statistical server;
and (5) a flow chart: performing statistical analysis on the service satisfaction of different customers according to the customer satisfaction survey server;
and (6) a flow path: the calculation module can perform re-investment utilization on the cash assets of the enterprise according to the turnover utilization rate of the flowing assets, and analyze the risk interest rate, so that the cash asset benefits of the enterprise can be maximized;
scheme 7: according to the fact that the macroscopic scoring computing module participates in macroscopic comparative analysis of similar assets in the market, various important indexes of the enterprise evaluation model system can be trimmed and adjusted according to specific market conditions, and evaluation accuracy of the enterprise evaluation model is improved;
and (3) a process 8: the total scoring analysis server can be used for recording data reports and carrying out statistical analysis and calculation;
and (3) a process 9: the data storage is used for storing classification labels of various data, so that the data calculation efficiency of the total score analysis server is facilitated;
a process 10: the data simulator can simulate various reference values to be added into analysis and calculation, so that various scores can be added into trimming values, and the calculation of the enterprise evaluation model system can be more flexible and changeable.
In this embodiment, the enterprise basic data collector and the productivity and product sales data analysis module perform data calculation to obtain the overall profitability of the enterprise.
In this embodiment, the survey statistics of the service quality survey data statistics server and the customer satisfaction survey server can make the score obtained by the enterprise evaluation model system after completing data analysis and calculation have good long-term stability.
In the embodiment, the macroscopic scoring computation module can be manually implanted with the trimming variable value in advance, so that the accuracy of the macroscopic reference computation amount is improved, and the scoring reference value of the enterprise evaluation model system is effectively improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (4)
1. A method and a system for custom configuration of an enterprise evaluation model are characterized in that: the system comprises an enterprise basic data collector, an asset evaluation server, a productivity and product sales data analysis module, a service quality investigation data statistics server, a customer satisfaction investigation server, a flowing asset turnover utilization rate calculation module, a macro scoring calculation module, a total scoring analysis server, a data memory and a data simulator; the system comprises the following specific working procedures:
scheme 1: collecting the basic data of the enterprise integrally according to the enterprise basic data collector, such as the benefit rate conversion value of the staff, the benefit rate conversion of factory instruments and the like, the product production yield and the like;
and (2) a flow scheme: evaluating and calculating the total quantity of the whole assets of the enterprise according to the asset evaluation server;
and (3) a flow path: carrying out quantitative conversion on the overall income of the product according to the productivity and product sales data analysis module;
and (4) a flow chart: carrying out investigation, analysis and arrangement on the service quality of the whole enterprise according to the service quality investigation data statistical server;
and (5) a flow chart: performing statistical analysis on the service satisfaction of different customers according to the customer satisfaction survey server;
and (6) a flow path: the calculation module can perform re-investment utilization on the cash assets of the enterprise according to the turnover utilization rate of the flowing assets, and analyze the risk interest rate, so that the cash asset benefits of the enterprise can be maximized;
scheme 7: according to the fact that the macroscopic scoring computing module participates in macroscopic comparative analysis of similar assets in the market, various important indexes of the enterprise evaluation model system can be trimmed and adjusted according to specific market conditions, and evaluation accuracy of the enterprise evaluation model is improved;
and (3) a process 8: the total scoring analysis server can be used for recording data reports and carrying out statistical analysis and calculation;
and (3) a process 9: the data storage is used for storing classification labels of various data, so that the data calculation efficiency of the total score analysis server is facilitated;
a process 10: the data simulator can simulate various reference values to be added into analysis and calculation, so that various scores can be added into trimming values, and the calculation of the enterprise evaluation model system can be more flexible and changeable.
2. The method and system for enterprise valuation model custom configuration of claim 1, wherein: and the enterprise basic data collector and the productivity and product sales data analysis module calculate data to obtain the overall yield of the enterprise.
3. The method and system for enterprise valuation model custom configuration of claim 1, wherein: the survey statistics of the service quality survey data statistics server and the customer satisfaction survey server can ensure that the scores obtained by the enterprise evaluation model system after data analysis and calculation are completed have good long-term stability.
4. The method and system for enterprise valuation model custom configuration of claim 1, wherein: the macro scoring calculation module can implant trimming variable values manually in advance, improve the accuracy of macro reference calculation amount, and effectively improve the scoring reference value of the enterprise evaluation model system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111414267.1A CN114139916A (en) | 2021-11-25 | 2021-11-25 | Method and system for custom configuration of enterprise evaluation model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111414267.1A CN114139916A (en) | 2021-11-25 | 2021-11-25 | Method and system for custom configuration of enterprise evaluation model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114139916A true CN114139916A (en) | 2022-03-04 |
Family
ID=80391864
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111414267.1A Pending CN114139916A (en) | 2021-11-25 | 2021-11-25 | Method and system for custom configuration of enterprise evaluation model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114139916A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345585A (en) * | 2022-08-16 | 2022-11-15 | 清华大学苏州汽车研究院（吴江） | Supply chain intelligent management system for enterprise operation |
| CN116912028A (en) * | 2023-09-13 | 2023-10-20 | 杭州万瑞格智能制造有限公司 | Intelligent production efficiency monitoring and early warning system and method for intelligent gas meter |
-
2021
- 2021-11-25 CN CN202111414267.1A patent/CN114139916A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115345585A (en) * | 2022-08-16 | 2022-11-15 | 清华大学苏州汽车研究院（吴江） | Supply chain intelligent management system for enterprise operation |
| CN116912028A (en) * | 2023-09-13 | 2023-10-20 | 杭州万瑞格智能制造有限公司 | Intelligent production efficiency monitoring and early warning system and method for intelligent gas meter |
| CN116912028B (en) * | 2023-09-13 | 2023-12-12 | 杭州万瑞格智能制造有限公司 | Intelligent production efficiency monitoring and early warning system and method for intelligent gas meter |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zakirova et al. | Organizational and methodological approach to managing financial flows of agricultural enterprises | |
| CN114139916A (en) | Method and system for custom configuration of enterprise evaluation model | |
| GOVDYA et al. | Methodical Aspects of the Decomposition Approach to the Formation of the Managerial Cost Accounting System in the Organizations of the Russian Agroindustrial Complex. | |
| Harris | Economics of the workplace: special issue editorial | |
| CN112132438A (en) | Investment and financing docking and equity value evaluation system for regional equity market | |
| Hajdú | Strategic and operative marketing controlling | |
| Espolov et al. | Asia agricultural market: Methodology for complete use of economic resources through supply chain optimization | |
| CN117522208A (en) | Method for constructing index evaluation system based on electric power spot market | |
| CN109191060A (en) | A kind of financial information system | |
| CN116227958A (en) | Method and system for dynamically and quantitatively evaluating offset fund manager based on holding bin and net value | |
| Gamsakhurdia et al. | Why Cash Optimization is Critical in Georgian Companies | |
| CN115204527B (en) | Enterprise operation health index evaluation system based on big data | |
| Pristupa | EVALUATION OF EFFICIENCY OF INVESTMENTS IN FIXED CAPITAL UNDER RESTRICTING FACTORS OF DEVELOPMENT OF WINE-MAKING OF THE CITY OF SEVASTOPOL | |
| Zhao et al. | Application of fractal dimension of fractional Brownian motion to supply chain financing and operational comprehensive decision-making | |
| Klius et al. | Improving the approach to assessing the economic sustainability of regional enterprises | |
| Rizvi | Impact of Budgetary Control on Company Performance: Comparison of Public and Private Sector Banks | |
| Hulu et al. | Analysis of Working Capital Turnover, Company Size, and Profitability at PT. Maxis Paragon, Gunungsitoli City, Years 2019-2022 | |
| Клюс et al. | IMPROVING THE APPROACH TO ASSESSING THE ECONOMIC SUSTAINABILITY OF REGIONAL ENTERPRISES | |
| Akter et al. | Impact of Dairy Cooperatives Model Farm (MF) on milk production, cost competitiveness and rural livelihood improvement in selected regions of Bangladesh. | |
| Sari et al. | The Role of Intellectual Capital in Islamic Banking Performance in Indonesia | |
| Voloshyna | Methods of financial regulation of the enterprise activities in the system of Ukraine’s economic development vectors | |
| Feniak | Investment activity of agricultural enterprises and methods of evaluation of its efficiency. | |
| Yuldashbaev | Comparative Comprehensive Assessment of Agricultural Organizations Toolkit Marina G. Leshcheva®, Tatyana N. Steklova, Tatyana N. Uryadova®, Yusupzhan A. Yuldashbaev®, and Tatyana N. Cheprakova İD | |
| Zhang | Exploration of Finance Digital Transformation Path Based on RPA Technology | |
| CHEN | An Empirical Analysis of Influence of Capital Allocation Efficiency on Performance in Listing Corporation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |