CN112598302B - Enterprise data evaluation method, device and server - Google Patents
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Abstract
The invention provides an enterprise data evaluation method, device and server, which relate to the technical field of Internet and comprise the following steps: acquiring enterprise data of an enterprise to be evaluated, and providing institution data of national capital-sponsor institutions for resource support for the enterprise to be evaluated; constructing a resource support map according to enterprise data and organization data; the resource support map is used for representing the resource support relationship between the national capital sponsor organization and the enterprise to be evaluated; and calculating an evaluation result of the enterprise to be evaluated based on the resource support map. The invention can effectively improve the efficiency and the precision of enterprise data evaluation and can also obviously reduce the cost of enterprise data evaluation.
Description
Technical Field
The present invention relates to the field of internet technologies, and in particular, to an enterprise data evaluation method, apparatus, and server.
Background
Currently, for analysis of enterprise compensation capability, the enterprise is not separated from analysis of other enterprise support possibilities obtained by the enterprise in difficult periods. The analysis of the support possibility of other enterprises mainly adopts a special method, and the possibility grade (such as high/general/low/extremely low, or A-E) can be directly checked by an expert, and the analysis can be performed by establishing a scoring card through a qualitative index. However, the above scheme has the following disadvantages: 1) The score of the current expert scoring card is mainly obtained by giving weight to the qualitative index, and the randomness is strong because the qualitative index depends on the perceptual knowledge of people; 2) Expert scoring cards require an expert to conduct due investigation on an enterprise to obtain information of the enterprise, and at least 2 customer managers and one censor are required to be called to investigate the enterprise according to the current supervision system and risk management mechanism, so that the labor is more consumed, the cost is high and the time consumption is long; 3) For implementation cost reasons, complete expert analysis is usually only done once a year, so the evaluation frequency is very low and the response to new changes cannot be timely. In view of the above, it is currently impossible to evaluate enterprises with high efficiency, high accuracy and low cost.
Disclosure of Invention
Accordingly, the present invention aims to provide an enterprise data evaluation method, apparatus and server, which can effectively improve the efficiency and accuracy of enterprise data evaluation and can also significantly reduce the cost of enterprise data evaluation.
In a first aspect, an embodiment of the present invention provides a method for evaluating enterprise data, including: acquiring enterprise data of an enterprise to be evaluated, and providing institution data of national capital-party institutions supporting resources for the enterprise to be evaluated; constructing a resource support map according to the enterprise data and the organization data; wherein the resource support map is used for representing a resource support relationship between the national capital sponsor institution and the enterprise to be evaluated; and calculating an evaluation result of the enterprise to be evaluated based on the resource support map.
In one embodiment, the step of constructing a resource support map from the enterprise data and the institution data includes: data integration is carried out on the enterprise data and the institution data, and a first investment relation table is obtained; the first investment relation table comprises a corresponding relation between the enterprise data and the institution data; performing data conversion on the first investment relation table according to a specified format to obtain a second investment relation table; wherein the second investment relationship table comprises a plurality of relationship arrays for characterizing resource support types and/or resource support proportions of the national capital-oriented institutions providing resource support to the enterprise to be evaluated, the resource support types comprising direct support and indirect support; constructing a resource support map based on the second investment relation table.
In one embodiment, the number of businesses to be assessed and the national capital sponsor institutions are each a plurality; the step of constructing a resource support map based on the second investment relation table comprises the following steps: for each national capital-party institution, taking the national capital-party institution as a starting node, traversing the second investment relation table from the starting node, determining each enterprise to be evaluated with the national capital-party institution in a resource support relation, and establishing a resource support map of each enterprise to be evaluated with the national capital-party institution and the national capital-party institution in a resource support relation.
In one embodiment, the step of constructing a resource support map based on the relation array includes: and inputting each relation array in the second investment relation table into a preset business map database to obtain a resource support map output by the business map database.
In one embodiment, the step of calculating the evaluation result of the enterprise to be evaluated based on the resource support spectrum includes: calculating the intermediate scores of the enterprises to be evaluated based on the resource support map by adopting a factor analysis algorithm; sequencing the intermediate scores of all the enterprises to be evaluated to obtain sequencing results; for each enterprise to be evaluated, determining an evaluation result of the enterprise to be evaluated based on the number of digits of the enterprise to be evaluated in the sorting result.
In one embodiment, the step of calculating the intermediate score of each enterprise under evaluation based on the resource support spectrum using a factor analysis algorithm includes: for each enterprise to be evaluated, determining the number of registered capital ordering bits and the number of staff ordering bits of the enterprise to be evaluated based on the resource support map, and carrying out weighted summation on the number of registered capital ordering bits and the number of staff ordering bits to obtain a first basic factor of the enterprise to be evaluated; determining a resource support level and a control right proportion of the enterprise to be evaluated based on the resource support map, and calculating a quotient of the control right proportion and the square root of the resource support level to obtain a second basic factor of the enterprise to be evaluated; and calculating the product of the first basic factor and the second basic factor to obtain the intermediate score of the enterprise to be evaluated.
In one embodiment, the step of determining the resource support hierarchy and the control right proportion of the enterprise to be evaluated based on the resource support spectrum includes: traversing the resource support map to obtain a plurality of resource support paths, determining a target support path from the resource support paths by utilizing a shortest path algorithm, and determining a resource support level of the enterprise to be evaluated based on the target support path; and calculating the proportion of the target support path to each resource support path based on the weight of each resource support path, and determining the proportion as the control weight proportion of the enterprise to be evaluated.
In a second aspect, an embodiment of the present invention further provides an apparatus for evaluating enterprise data, including: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring enterprise data of an enterprise to be evaluated and institution data of national capital-party institutions providing resource support for the enterprise to be evaluated; the map construction module is used for constructing a resource support map according to the enterprise data and the organization data; wherein the resource support map is used for representing a resource support relationship between the national capital sponsor institution and the enterprise to be evaluated; and the evaluation module is used for calculating the evaluation result of the enterprise to be evaluated based on the resource support map.
In a third aspect, an embodiment of the present invention further provides a server, including a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs the method according to any of the first aspects provided.
In a fourth aspect, embodiments of the present invention also provide a computer storage medium storing computer software instructions for use with any of the methods provided in the first aspect.
According to the enterprise data evaluation method, device and server provided by the embodiment of the invention, enterprise data of an enterprise to be evaluated and organization data of a national capital-party organization providing resource support for the enterprise to be evaluated can be obtained, then a resource support map for representing the resource support relationship between the national capital-party organization and the enterprise to be evaluated is constructed according to the enterprise data and the organization data, and an evaluation result of the enterprise to be evaluated is calculated based on the resource support map. The method can construct a resource support map based on enterprise data of the enterprise to be evaluated and organization data of the national capital-oriented enterprises, and can obtain corresponding evaluation results based on the resource support relationship between the national capital-oriented enterprises and the enterprise to be evaluated, which is characterized in the resource support map.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for evaluating enterprise data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a resource support map according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating another method for evaluating enterprise data according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an enterprise data evaluation apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Currently, the support possibility assessment mainly adopts a proprietary method, such as evaluating enterprise data through an expert scoring card, and generally the following three factors need to be considered in qualitative analysis of support availability: the importance of the subject (i.e., the enterprise to be evaluated), the reputation impact of the subject's default, historical support, but expert scoring cards are not capable of performing efficient, high-precision, low-cost evaluations of the enterprise. Based on the method, the device and the server for evaluating the enterprise data, the efficiency and the precision of enterprise data evaluation can be effectively improved, and the cost of enterprise data evaluation can be remarkably reduced.
For the convenience of understanding the present embodiment, first, a detailed description will be given of a method for evaluating enterprise data disclosed in the present embodiment, referring to a flow chart of a method for evaluating enterprise data shown in fig. 1, the method mainly includes the following steps S102 to S106:
step S102, obtaining enterprise data of the enterprise to be evaluated, and organization data of the national capital-party organization providing resource support for the enterprise to be evaluated. Wherein the resources may include funds or supplies, the enterprise to be assessed may be a listing company or a general enterprise, the national capital sponsor organization may be a national commission, the enterprise data may include a payroll registration information table, a stakeholder information table, an external investment information table, a payroll annual report disclosure information table, a listing company basic information table, a listing company stakeholder information table, a listing company to external investment information table, etc., and the organization data may include a national commission name, a level (such as central/province level/local market level/others), and an enterprise name, etc. In one embodiment, enterprise data may be obtained through an API (Application Programming Interface, application program interface) interface, and organization data may be obtained through crawling techniques.
And step S104, constructing a resource support map according to the enterprise data and the organization data. The resource support map is used for representing a resource support relationship between a national capital-oriented entity and an enterprise to be evaluated, the resource support relationship can comprise a resource support type and/or a resource support proportion, the resource support type comprises direct support and indirect support, and the resource support proportion is used for representing a percentage of resource support provided by a certain national capital-oriented entity to the enterprise to be evaluated, wherein the percentage of resource support provided by all the national capital-oriented entities to the enterprise to be evaluated. In one embodiment, the enterprise data and the organization data may be integrated, and then the integrated first investment relation table is subjected to data conversion according to a specified format to obtain a second investment relation table containing a plurality of relation arrays, so as to construct a resource support map based on the second investment relation table.
And S106, calculating an evaluation result of the enterprise to be evaluated based on the resource support map. In one embodiment, the evaluation result of the enterprise to be evaluated may be calculated by using a factor algorithm, optionally, a first basic factor and a second basic factor of the enterprise to be evaluated may be calculated based on a resource support map, a product of the first basic factor and the second basic factor is used as an intermediate score of the enterprise to be evaluated, the intermediate scores of the enterprises to be evaluated are ranked, and finally, the evaluation result of the enterprise to be evaluated is determined according to the number of bits of the enterprise to be evaluated in the ranking result.
The enterprise data evaluation method provided by the embodiment of the invention can construct a resource support map based on enterprise data of an enterprise to be evaluated and organization data of a national capital-party organization, and can obtain corresponding evaluation results based on the resource support relationship between the national capital-party organization and the enterprise to be evaluated, which is characterized in the resource support map.
For ease of understanding, in executing the step S102, an embodiment of the present invention provides an implementation manner of acquiring enterprise data and organization data, taking as an example that the enterprise to be evaluated is a marketing company or a general enterprise, and that a national capital sponsor organization is a national resource commission. For enterprise data, third party data business data and marketing company data can be purchased, and specifically, data interaction can be performed by using json format according to an API interface customized by a third party data business so as to obtain the enterprise data. Referring to the enterprise data shown in the following table 1, table 1 illustrates that the enterprise data may include an industrial and commercial registration information table, a stockholder information table, an external investment information table, an industrial and commercial annual report disclosure information table, a basic information table of a marketing company, a stockholder information table of a marketing company, an external investment information table of a marketing company, etc., where the industrial and commercial registration information table may include an enterprise name, a registered capital, a registration time, an operation period, an operation status, etc., the stockholder information table may include a stockholder name, a unified social credit code, a share holding ratio, a share holding number, a stockholder type, etc., and the external investment information table may include an invested enterprise name, a registered capital, an investment amount, an investment ratio, etc., and the embodiment of the present invention will not be described herein.
TABLE 1
For the organization data, a crawler technology can be adopted to crawl the national resource commission network to obtain the supervision enterprise directory, and optionally, the national resource commission can be crawled to manually comb financial institutions, recruitment offices, national resource commissions and other national capital investment organization official network lists to obtain the national resource commission supervision enterprise directory. Referring to an organization data as shown in table 2 below, table 2 illustrates that organization data may include national commission names, levels, and business names, among others.
TABLE 2
In order to facilitate understanding the above step S104, the embodiment of the present invention provides an implementation manner of constructing a resource support map according to enterprise data and organization data, and reference may be made to the following steps a to c:
and a, data integration is carried out on enterprise data and organization data, and a first investment relation table is obtained. Wherein the first investment relation table includes a correspondence between enterprise data and institution data. For ease of understanding, the enterprise to be assessed is a marketing company or a general enterprise, and the national capital agency is the national resource commission for example: (1) The integrated stakeholder information table is obtained for the first ten stakeholders of the marketing company and the business stakeholder information sum of the non-marketing company as shown in table 3 below:
TABLE 3 Table 3
(2) Integrating the external investment enterprise data of the marketing company and the external investment information of the non-marketing company to obtain an integrated external investment information table, as shown in the following table 4:
TABLE 4 Table 4
(3) The national resource commission, the marketing company, the general enterprises and the external investment enterprises of the companies are taken as entities, enterprise data and organization data are further integrated, and a full-volume entity investment relation table (namely the first investment relation table) is obtained, so that data conversion based on the full-volume entity investment relation table is facilitated, wherein the full-volume entity investment relation table is shown in the following table 5:
TABLE 5
And b, performing data conversion on the first investment relation table according to a specified format to obtain a second investment relation table. Wherein the second investment relationship table comprises a plurality of relationship arrays for characterizing a type of resource support (also referred to as an investment type) and/or a proportion of resource support (also referred to as an investment ratio) of the national capital-sponsor institution providing resource support to the enterprise to be assessed, the type of resource support comprising direct support and indirect support. In one embodiment, the specified format may be (FORM node, TO node, investment type, investment duty). Illustratively, table 5 above is further converted into a plurality of relationship arrays in the specified format, e.g., (A, B, direct, 88%), (C, D, indirect, 38%), etc. The array is stored in a database to obtain a national committee investment relationship table (i.e., the second investment relationship table described above) as shown in table 6. The method comprises the steps that a direct support index current array FROM node is a national resource commission, and an investment record of the national resource commission TO a TO node exists in an entity investment relation table; indirect support refers TO the situation that the current array FROM node is not the national resource commission, but can reach a certain FROM node TO be the relationship array of the national resource commission through reverse traversal (traversing in the direction of TO node- > FROM node).
TABLE 6
And c, constructing a resource support map based on the second investment relation table. Wherein the number of enterprises to be evaluated and national capital sponsors institutions is plural. For easy understanding, the embodiment of the present invention provides the following two ways of constructing a resource support map, see the following ways one to two:
in one mode, for each national capital-intensive institution, the national capital-intensive institution is taken as a starting node, a second investment relation table is traversed from the starting node, each enterprise to be evaluated with the national capital-intensive institution in resource support relation is determined, and a resource support map of each enterprise to be evaluated with the national capital-intensive institution and the national capital-intensive institution in resource support relation is established. In one embodiment, the program selects the FROM node as the relation array start of the national resource commission, and traverses the second investment relation table to construct the national resource commission investment map. For example, referring to a schematic diagram of a resource support map shown in fig. 2, fig. 2 illustrates that an enterprise to be evaluated directly supported by XX national resource commission includes a straight pipe enterprise 1, a straight pipe enterprise 2 and a straight pipe enterprise 3, where the resource support proportion of the straight pipe enterprise 1 is 100%, the resource support proportion of the straight pipe enterprise 2 is 95%, the resource support proportion of the straight pipe enterprise 3 is 77%, and each straight pipe enterprise directly or indirectly supports its subsidiary or grandchild.
And in a second mode, inputting each relation array in the second investment relation table into a preset business map database to obtain a resource support map output by the business map database. In one embodiment, the business map database may be neo4j, and the above-described relationship array is imported into neo4j to automatically generate the resource support map without program development.
For the foregoing step S106, the embodiment of the present invention provides an implementation manner of calculating an evaluation result of an enterprise to be evaluated based on a resource support spectrum, see the following steps 1 to 3:
and step 1, calculating the intermediate scores of all enterprises to be evaluated based on the resource support map by adopting a factor analysis algorithm. In one embodiment, the national resource commission investment map can be constructed by utilizing external big data based on a factor analysis method, and the positions, the levels and the relations of the national enterprise key indexes in the map are automatically converted into enterprise importance degree and investment stability importance degree scoring factors by combining the available enterprise key data indexes, so that standardized quantitative scores with sufficient application values are obtained. Further, in the embodiment of the invention, the importance (operational importance and social stability importance) of the enterprise is evaluated by constructing basic factors for the hierarchical analysis of the positions of registered capital and social security payees in the map, and the investment importance of the government to the enterprise is evaluated by constructing multiplier factors by using a national resource commission investment level calculation algorithm and a national resource commission control right proportion calculation algorithm, wherein the sources of data such as the registered capital and the social security payees are the data of the institutions.
Based on this, see a step of calculating intermediate scores of each enterprise under evaluation based on the resource support spectrum using a factor analysis algorithm as shown in the following steps 1.1 to 1.3:
step 1.1, for each enterprise to be evaluated, determining the number of registered capital ranking digits and the number of staff ranking digits of the enterprise to be evaluated based on a resource support map, and carrying out weighted summation on the number of registered capital ranking digits and the number of staff ranking digits to obtain a first basic factor of the enterprise to be evaluated. The number of ordered digits of registered capital may be referred to as a business importance level or a registered capital ordering percentile, the number of ordered digits of personnel may be referred to as a social stability importance level or a social security payment number percentile, and the first basic factor is used for representing the business importance and the social stability, wherein the key data index of the business importance is the registered capital, and the key data index of the social stability importance is the social security payment number.
In one embodiment, the computer program is used for respectively sequencing the registered capital and social security payment numbers of all node enterprises (without initial nodes, namely, national resource commissions) in the resource support map from small to large to obtain a registered capital sequencing percentile a and a social security payment number percentile b of the enterprise to be evaluated, and a first basic factor X1 of the enterprise to be evaluated is generated through the following formula: x1=0.7a+0.3×b.
And 1.2, determining a resource support level and a control right proportion of the enterprise to be evaluated based on the resource support map, and calculating a quotient of the control right proportion and a square root of the resource support level to obtain a second basic factor of the enterprise to be evaluated. Wherein the second basic factor X2, which may also be referred to as a multiplier factor, is used to characterize the investment importance, and the key data indicators of the investment importance include the national commission investment level number (i.e., the resource support level) and the national commission control right proportion, and the second basic factor thereofThe calculation formula of the sub X2 is as follows:d is the control weight proportion and c is the resource support level. In one embodiment, the step of determining the resource support hierarchy and the control right proportion of the enterprise under evaluation based on the resource support map may be performed as follows steps 1.2.1 to 1.2.2:
and 1.2.1, traversing the resource support map to obtain a plurality of resource support paths, determining a target support path from the resource support paths by utilizing a shortest path algorithm, and determining a resource support level c of the enterprise to be evaluated based on the target support path. The target supporting path may be the shortest resource supporting path. In one embodiment, a shortest path algorithm may be used to determine a shortest resource support path from the traversed resource support paths, and determine the shortest resource support path as a target support path, where the resource support level c is 3 assuming that the target support path includes three levels. It should be noted that path weights are not considered in determining the target support path.
And step 1.2.2, calculating the proportion of the target supporting path to each resource supporting path based on the weight of each resource supporting path, and determining the proportion as the control right proportion of the enterprise to be evaluated. In one embodiment, the weighted sum of the resource support paths may be obtained based on the weight calculation of each resource support path, and the ratio of the target support path to the weighted sum may be calculated to obtain the proportion of the target support path to each resource support path, where the proportion is the control weight proportion d.
And 1.3, calculating the product of the first basic factor and the second basic factor to obtain the intermediate score of the enterprise to be evaluated. In one embodiment, the intermediate score Y' is calculated as follows: y' =x1×x2.
And step 2, sorting the intermediate scores of all enterprises to be evaluated to obtain a sorting result. In practical application, after the intermediate scores Y ' of all the enterprises to be evaluated are obtained through calculation, sequencing all the enterprises to be evaluated according to the sequence from the small intermediate scores Y ' to the large intermediate scores Y ' to obtain sequencing results.
And 3, for each enterprise to be evaluated, determining an evaluation result of the enterprise to be evaluated based on the number of digits of the enterprise to be evaluated in the sorting result. In one embodiment, for each enterprise to be evaluated, the percentile of the intermediate scores Y' of the enterprise to be evaluated is the evaluation result Y.
In order to facilitate understanding of the enterprise data evaluation method provided in the above embodiment, an application example of the enterprise data evaluation method is provided in the embodiment of the present invention, and an application scenario of performing special support on an enterprise to be evaluated in national resource commission is taken as an example. Specifically, in a qualitative analysis of the specific support possibility of national committee in general, the following three factors need to be considered: importance of the principal, reputation impact of the principal's default, historical support. The importance factor of the main body is the key, the reputation influence of the main body default and the history support condition can be understood as another expression form of the importance of the main body, the importance of the main body mainly comprises three aspects of operation importance, social stability importance and investment importance, the operation importance and the social stability importance can be collectively called as enterprise own importance, the operation importance refers to the importance of the operation activity of the enterprise in the government jurisdiction, the social stability importance refers to the influence degree of a large number of staff loss caused by bankruptcy of the enterprise on the social stability, and the investment importance refers to the importance of the investment limit of the national resource commission on all external investments of the national resource commission.
Based on this, referring to the flow chart of another enterprise data evaluation method shown in fig. 3, the method mainly includes the following steps S302 to S312:
in step S302, a crawler technology is used to obtain a public supervision enterprise directory (i.e., the aforementioned organization data).
Step S304, third party data business data/marketing company data (i.e., the aforementioned enterprise data) is docked.
Step S306, integrating the supervision enterprise directory and the business data/the marketing company data to obtain a first investment relation table.
Step S308, converting the first investment relation table into a plurality of relation arrays to obtain a second investment relation table.
Step S310, constructing a national resource commission investment map (i.e., the above-described resource support map) based on the second investment relation table.
In step S312, a quantization score (i.e., the above-described evaluation result) is calculated based on the factor algorithm and the national commission investment pattern.
In summary, according to the method for evaluating enterprise data provided by the embodiment of the invention, the knowledge graph construction, the shortest path and the control right proportion calculation algorithm are creatively applied to the evaluation of the support possibility of the government of the state enterprise, the score of the current expert scoring card is mainly obtained by giving weight to the qualitative index, and the qualitative index depends on the perceptual knowledge of people, so that the randomness is high. Specifically, the embodiment of the invention has at least the following characteristics:
(1) The evaluation method is characterized in that a knowledge graph and a control right proportion calculation algorithm are creatively applied to evaluation of national government support possibility, the score of the current expert scoring card is mainly obtained by giving weight to a qualitative index, the qualitative index depends on perceptual knowledge of people, the randomness is high, and qualitative analysis is converted into a quantitative score which is transversely and longitudinally compared, so that the accuracy is improved.
(2) The method is far more sensitive to the change of data than the expert method, and the change of the investment behavior of the national resource commission in the industrial and commercial data can be quickly reflected in the grading result, so that the timeliness is greatly improved.
(3) Compared with expert method, the method can effectively reduce single analysis cost, does not need human intervention, can continuously evaluate enterprises at high frequency, can be applied before loan, can automatically and continuously monitor the process in and after loan, expands application range and reduces implementation cost.
For the method for evaluating enterprise data provided in the foregoing embodiment, an embodiment of the present invention provides an apparatus for evaluating enterprise data, referring to a schematic structural diagram of an apparatus for evaluating enterprise data shown in fig. 4, the apparatus mainly includes the following parts:
the data acquisition module 402 is configured to acquire enterprise data of an enterprise under evaluation, and organization data of a national capital-sponsor organization that provides resource support for the enterprise under evaluation.
A map construction module 404, configured to construct a resource support map according to the enterprise data and the organization data; the resource support map is used for representing the resource support relationship between the national capital sponsor organization and the enterprise to be evaluated.
And the evaluation module 406 is used for calculating an evaluation result of the enterprise to be evaluated based on the resource support map.
The enterprise data evaluation device provided by the embodiment of the invention can construct a resource support map based on enterprise data of an enterprise to be evaluated and organization data of a national capital-oriented agency, and can obtain corresponding evaluation results based on the resource support relationship between the national capital-oriented agency and the enterprise to be evaluated, which is characterized in the resource support map.
In one embodiment, the map construction module 404 is further configured to: data integration is carried out on enterprise data and institution data to obtain a first investment relation table; the first investment relation table comprises a corresponding relation between enterprise data and institution data; performing data conversion on the first investment relation table according to a specified format to obtain a second investment relation table; the second investment relation table comprises a plurality of relation arrays, the relation arrays are used for representing resource support types and/or resource support proportions for providing resource support for enterprises to be evaluated by national capital-oriented institutions, and the resource support types comprise direct support and indirect support; and constructing a resource support map based on the second investment relation table.
In one embodiment, the number of businesses and national capital sponsors to be evaluated is multiple; the map construction module 404 is also configured to: for each national capital-intensive institution, taking the national capital-intensive institution as a starting node, traversing a second investment relation table from the starting node, determining each enterprise to be evaluated with which the national capital-intensive institution has a resource support relation, and establishing a resource support map of each enterprise to be evaluated with which the national capital-intensive institution and the national capital-intensive institution have a resource support relation.
In one embodiment, the map construction module 404 is further configured to: and inputting each relation array in the second investment relation table into a preset business map database to obtain a resource support map output by the business map database.
In one embodiment, the evaluation module 406 is further configured to: calculating the intermediate scores of all enterprises to be evaluated based on the resource support map by adopting a factor analysis algorithm; sequencing the intermediate scores of all enterprises to be evaluated to obtain a sequencing result; for each enterprise to be evaluated, determining an evaluation result of the enterprise to be evaluated based on the number of digits of the enterprise to be evaluated in the ranking result.
In one embodiment, the evaluation module 406 is further configured to: for each enterprise to be evaluated, determining the number of registered capital ranking digits and the number of staff ranking digits of the enterprise to be evaluated based on a resource support map, and carrying out weighted summation on the number of registered capital ranking digits and the number of staff ranking digits to obtain a first basic factor of the enterprise to be evaluated; determining a resource support level and a control right proportion of the enterprise to be evaluated based on the resource support map, and calculating a quotient of the control right proportion and a square root of the resource support level to obtain a second basic factor of the enterprise to be evaluated; and calculating the product of the first basic factor and the second basic factor to obtain the intermediate score of the enterprise to be evaluated.
In one embodiment, the evaluation module 406 is further configured to: traversing the resource support map to obtain a plurality of resource support paths, determining a target support path from the resource support paths by utilizing a shortest path algorithm, and determining a resource support level of the enterprise to be evaluated based on the target support path; and calculating the proportion of the target support path to each resource support path based on the weight of each resource support path, and determining the proportion as the control right proportion of the enterprise to be evaluated.
The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned.
The embodiment of the invention provides a server, which specifically comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the embodiments described above.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server 100 includes: a processor 50, a memory 51, a bus 52 and a communication interface 53, the processor 50, the communication interface 53 and the memory 51 being connected by the bus 52; the processor 50 is arranged to execute executable modules, such as computer programs, stored in the memory 51.
The memory 51 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is achieved via at least one communication interface 53 (which may be wired or wireless), and the internet, wide area network, local network, metropolitan area network, etc. may be used.
Bus 52 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 5, but not only one bus or type of bus.
The memory 51 is configured to store a program, and the processor 50 executes the program after receiving an execution instruction, and the method executed by the apparatus for flow defining disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 50 or implemented by the processor 50.
The processor 50 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware in the processor 50 or by instructions in the form of software. The processor 50 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 51 and the processor 50 reads the information in the memory 51 and in combination with its hardware performs the steps of the above method.
The computer program product of the readable storage medium provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and the specific implementation may refer to the foregoing method embodiment and will not be described herein.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. A method of evaluating enterprise data, comprising:
acquiring enterprise data of an enterprise to be evaluated, and providing institution data of national capital-party institutions supporting resources for the enterprise to be evaluated;
constructing a resource support map according to the enterprise data and the organization data; wherein the resource support map is used for representing a resource support relationship between the national capital sponsor institution and the enterprise to be evaluated;
calculating an evaluation result of the enterprise to be evaluated based on the resource support map;
the step of constructing a resource support map according to the enterprise data and the organization data comprises the following steps:
data integration is carried out on the enterprise data and the institution data, and a first investment relation table is obtained; the first investment relation table comprises a corresponding relation between the enterprise data and the institution data;
performing data conversion on the first investment relation table according to a specified format to obtain a second investment relation table; wherein the second investment relationship table comprises a plurality of relationship arrays for characterizing resource support types and/or resource support proportions of the national capital-oriented institutions providing resource support to the enterprise to be evaluated, the resource support types comprising direct support and indirect support;
constructing a resource support map based on the second investment relation table;
the number of the enterprises to be evaluated and the national capital sponsor institutions is multiple;
the step of constructing a resource support map based on the second investment relation table comprises the following steps:
for each national capital-sponsor institution, taking the national capital-sponsor institution as a starting node, traversing the second investment relation table from the starting node, determining each enterprise to be evaluated in resource support relation with the national capital-sponsor institution, and establishing a resource support map of each enterprise to be evaluated in resource support relation with the national capital-sponsor institution and the national capital-sponsor institution
The step of constructing a resource support map based on the relation array comprises the following steps:
inputting each relation array in the second investment relation table into a preset business map database to obtain a resource support map output by the business map database;
the step of calculating the evaluation result of the enterprise to be evaluated based on the resource support map comprises the following steps:
calculating the intermediate scores of the enterprises to be evaluated based on the resource support map by adopting a factor analysis algorithm;
sequencing the intermediate scores of all the enterprises to be evaluated to obtain sequencing results;
for each enterprise to be evaluated, determining an evaluation result of the enterprise to be evaluated based on the number of digits of the enterprise to be evaluated in the sorting result;
the step of calculating the intermediate scores of the enterprises to be evaluated based on the resource support spectrum by adopting a factor analysis algorithm comprises the following steps:
for each enterprise to be evaluated, determining the number of registered capital ordering bits and the number of staff ordering bits of the enterprise to be evaluated based on the resource support map, and carrying out weighted summation on the number of registered capital ordering bits and the number of staff ordering bits to obtain a first basic factor of the enterprise to be evaluated;
determining a resource support level and a control right proportion of the enterprise to be evaluated based on the resource support map, and calculating a quotient of the control right proportion and the square root of the resource support level to obtain a second basic factor of the enterprise to be evaluated;
calculating the product of the first basic factor and the second basic factor to obtain an intermediate score of the enterprise to be evaluated;
the step of determining the resource support level and the control right proportion of the enterprise to be evaluated based on the resource support map comprises the following steps:
traversing the resource support map to obtain a plurality of resource support paths, determining a target support path from the resource support paths by utilizing a shortest path algorithm, and determining a resource support level of the enterprise to be evaluated based on the target support path;
and calculating the proportion of the target support path to each resource support path based on the weight of each resource support path, and determining the proportion as the control weight proportion of the enterprise to be evaluated.
2. An evaluation apparatus employing the enterprise data evaluation method of claim 1, comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring enterprise data of an enterprise to be evaluated and institution data of national capital-party institutions providing resource support for the enterprise to be evaluated;
the map construction module is used for constructing a resource support map according to the enterprise data and the organization data; wherein the resource support map is used for representing a resource support relationship between the national capital sponsor institution and the enterprise to be evaluated;
and the evaluation module is used for calculating the evaluation result of the enterprise to be evaluated based on the resource support map.
3. A server comprising a processor and a memory;
the memory has stored thereon a computer program which, when executed by the processor, performs the method of claim 1.
4. A computer storage medium storing computer software instructions for use with the method of claim 1.
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