CN116307811A - Method and device for automatically grading enterprise index data in staged mode - Google Patents
Method and device for automatically grading enterprise index data in staged mode Download PDFInfo
- Publication number
- CN116307811A CN116307811A CN202211629626.XA CN202211629626A CN116307811A CN 116307811 A CN116307811 A CN 116307811A CN 202211629626 A CN202211629626 A CN 202211629626A CN 116307811 A CN116307811 A CN 116307811A
- Authority
- CN
- China
- Prior art keywords
- index data
- enterprise
- enterprise index
- data
- scoring
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000001360 synchronised effect Effects 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 4
- 238000012827 research and development Methods 0.000 claims description 4
- 238000011161 development Methods 0.000 claims description 3
- 230000035800 maturation Effects 0.000 claims description 2
- 238000005192 partition Methods 0.000 claims description 2
- 238000013459 approach Methods 0.000 claims 2
- 230000008569 process Effects 0.000 abstract description 16
- 238000010586 diagram Methods 0.000 description 10
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Tourism & Hospitality (AREA)
- Computing Systems (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of data processing, and provides a method and a device for automatically grading enterprise index data in a staged manner, wherein the method comprises the following steps: acquiring and synchronizing enterprise index data; converting the acquired and synchronized enterprise index data; step-by-step division is carried out on the converted enterprise index data; and automatically scoring the stepwise divided enterprise index data. According to the method, the synchronized and classified enterprise index data are divided in stages, the enterprise index data in each stage are automatically scored and ordered, so that an enterprise with excellent each stage is rapidly located, and in the automatic scoring process, the method supports the direct use of SQL (structured query language) for index data acquisition under the condition that related enterprise data are not configured, so that the diversity and the universality of data acquisition are greatly facilitated.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for automatically grading enterprise index data in a staged mode.
Background
In the management system of the related administrative organ, index data declared by each enterprise exists, the current management system is limited to the storage of the index data and does not score the index data, so that a plurality of excellent enterprises cannot be quickly mined, the enterprise index data is processed by the current common manual mode, the processing steps are complicated, errors are easy to occur, real-time classification and scoring cannot be realized, one-time configuration cannot be realized, and the enterprises are universal; in addition, in many different integrating systems, no scoring rule exists or the scoring rule is configured by multiple items to meet the scoring standard, so that the grading automatic scoring according to the data cannot be realized.
In view of this, overcoming the drawbacks of the prior art is a problem to be solved in the art.
Disclosure of Invention
The invention provides a solution to the technical problem that the existing management system cannot automatically score the enterprise index data in a staged manner.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for automatically grading enterprise index data in stages, including:
acquiring and synchronizing enterprise index data;
converting the acquired and synchronized enterprise index data;
step-by-step division is carried out on the converted enterprise index data;
and automatically scoring the stepwise divided enterprise index data.
Preferably, the converting the acquired and synchronized enterprise index data includes:
pre-configuring a local index configuration file for enterprise index data conversion;
matching the local index configuration file with the acquired and synchronized enterprise index data;
and obtaining enterprise index data which can be identified by the program according to the matching result.
Preferably, the step of dividing the converted enterprise index data includes:
determining a key object in the enterprise index data and a time period in which the key object is located;
obtaining a time series of enterprise index data through a time period in which the key object is positioned;
the basis of the stepwise division is determined by the time series of the enterprise index data.
Preferably, the automatically scoring the segmented enterprise index data includes:
sequencing and integrating enterprise index data of each stage according to the size of the data value;
segmenting the enterprise index data after sequencing and integration according to given scoring areas;
calculating an automatic scoring condition of each section of enterprise index data through a JAVA algorithm;
and judging the automatic scoring condition of the enterprise index data by using the JS script, so as to realize automatic scoring.
Preferably, the calculation formula of the JAVA algorithm is specifically:
D＝N+(N×X)×(Y-N)
wherein D is an automatic score, N is a current segment number, X is a scoring inter-partition value for each segment, and Y is a total segment number.
Preferably, the calculating the automatic scoring condition of each piece of enterprise index data by using a JAVA algorithm includes:
circularly calculating enterprise index data of each stage;
grouping enterprise index data of each stage according to the enterprise unified social credit code;
and obtaining the score corresponding to the enterprise index data by combining preset configuration conditions or automatically generated conditions.
Preferably, the loop calculates enterprise index data of each stage, specifically:
asynchronous calculation processing is performed on enterprise index data of each stage by using a completable eFuse tool in JAVA.
Preferably, the key objects in the enterprise index data include: one or more of revenue, research and development investment, number of incumbents, and academic duty cycle.
Preferably, the step of dividing the converted enterprise index data includes: one or more of the initial, growth, development and maturation phases.
In a second aspect, the present invention provides an apparatus for automatically grading enterprise index data in stages, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor for performing the method of staged automatic scoring of enterprise metrics data as described in the first aspect.
Aiming at the defects in the prior art, the invention has the following beneficial effects:
according to the method, the synchronized and classified enterprise index data are divided in stages, and the enterprise index data in each stage are automatically scored and ordered, so that excellent enterprises in each stage are rapidly located.
The method and the system support the direct use of SQL to acquire index data under the condition of no configuration of related enterprise data, and greatly facilitate the diversity and the universality of data acquisition.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present invention, the drawings that are required to be used in the embodiments of the present invention will be briefly described below. It is evident that the drawings described below are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a flow chart of a method for automatically scoring corporate index data in stages;
FIG. 2 is a flow chart of another method for automatically scoring corporate index data in stages;
FIG. 3 is a flow chart of a further method for automatically scoring corporate index data in stages;
FIG. 4 is a flow chart of another method for automatically scoring corporate index data in stages;
FIG. 5 is a flow chart of a method for automatically scoring corporate index data in stages;
FIG. 6 is a schematic diagram of a method application process for staged automatic scoring of enterprise index data;
fig. 7 is a schematic diagram of an apparatus for automatically grading enterprise index data in a stepwise manner.
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 embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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. In addition, the technical features of each embodiment or the single embodiment provided by the invention can be combined with each other at will to form a feasible technical scheme, and the combination is not limited by the sequence of steps and/or the structural composition mode, but is necessarily based on the fact that a person of ordinary skill in the art can realize the combination, and when the technical scheme is contradictory or can not realize, the combination of the technical scheme is not considered to exist and is not within the protection scope of the invention claimed.
Example 1:
in order to solve the technical problem that the conventional management system cannot automatically score the enterprise index data in a staged manner, embodiment 1 provides a method for automatically scoring the enterprise index data in a staged manner, as shown in fig. 1, including:
s100, acquiring and synchronizing enterprise index data.
In this step, the triggering mode of acquiring and synchronizing the enterprise index data may be set to a timing triggering mode or a manual triggering mode, when the timing triggering mode is applied, the acquiring and synchronizing of the enterprise index data may be performed according to a preset time frequency, for example, once a week or once a month, and when the manual triggering mode is applied, the acquiring and synchronizing of the enterprise index data may be performed in real time by a one-click operation.
S200, converting the acquired and synchronized enterprise index data.
In order to facilitate the computer program to identify the acquired and synchronized enterprise index data, the acquired and synchronized enterprise index data needs to be converted in advance, and in the actual implementation process, the conversion of the acquired and synchronized enterprise index data, as shown in fig. 2, includes:
s210, a local index configuration file for enterprise index data conversion is preconfigured.
The local index configuration file is pre-established and is similar to a field relation corresponding table.
S220, matching the local index configuration file with the acquired and synchronized enterprise index data.
And the matching process is to perform attribute one-to-one mapping process on the enterprise index data in the acquired and synchronized external data source through the field relation corresponding table.
S230, according to the matching result, enterprise index data which can be identified by the program are obtained.
For example, through the matching process, the "Name" in the external data source can be converted into "1", the "Age" can be converted into "2", and the like, so that the identification of the computer program is facilitated.
S300, performing stage division on the converted enterprise index data.
The enterprise index data is different at different stages along with the life cycle change in the operation process of the enterprise.
The step division of the converted enterprise index data, as shown in fig. 3, includes:
s310, determining a key object in the enterprise index data and a time period in which the key object is located.
Because the enterprise index data has a plurality of objects, according to the influence degree on the enterprise, the scoring process mainly selects one or more objects in the enterprise index data as key objects in the enterprise index data, wherein the key objects in the enterprise index data comprise: and one or more of business income, research and development investment, number of workers in the office and the academic duty ratio, wherein the business income represents the profitability of the enterprise to a certain extent, the research and development investment represents the scientific research capability of the enterprise to a certain extent, the number of workers represents the operation scale of the enterprise to a certain extent, the academic duty ratio represents the human resource level of the enterprise to a certain extent, and the key objects in the enterprise index data dynamically change along with time in the life cycle of the enterprise.
S320, obtaining the time series of the enterprise index data through the key object and the time period of the key object.
The time series comprises a time point sequence and a time period sequence, and in the step, the time series of the enterprise index data is obtained through the key object and the time period where the key object is located and is the time period sequence.
S330, determining the basis of the stepwise division through the time series of the enterprise index data.
In specific implementation, the method can be combined with the industry characteristics of enterprises and the development years of the enterprises, and the converted enterprise index data are divided in stages, wherein the dividing stages comprise: one or more of the initial period, the growth period, the strong period and the mature period are divided by the stages so as to facilitate score evaluation and comparison of the enterprises in the same stage or the enterprises of the same type, and the comparison problem of new and old enterprises is avoided to a certain extent.
S400, automatically scoring the enterprise index data after the stage division.
The automatic scoring of the segmented enterprise index data, as shown in fig. 4, includes:
s410, sorting and integrating the enterprise index data of each stage according to the data value.
The sorting process can be performed according to the big-to-small or the small-to-big sorting, and the sorted enterprise index data can be obtained after sorting; and the integration process comprises a reverse process of S230, wherein the data in the index configuration file and the sequenced enterprise index data are integrated to obtain the condition of the current judgment index value, the obtained judgment condition and the converted enterprise index data value are bound, the SQL source data are marked, and meanwhile, the SQL query and the converted data are integrated again.
In the step, the SQL statement can be used for inquiring the corresponding enterprise index data value, the redundancy of codes is reduced, the corresponding enterprise index data can be obtained by realizing configuration, and the diversity of data sources can be realized.
S420, segmenting the enterprise index data after sequencing and integration according to given scoring areas.
The given scoring intervals, typically given by the relevant authorities, are embodied in scoring criteria.
And S430, calculating the automatic scoring condition of each piece of enterprise index data through a JAVA algorithm.
The computing formula of the JAVA algorithm specifically comprises the following steps:
D＝N+(N×X)×(Y-N)
wherein D is an automatic score, N is a current segment bit value, X is a scoring inter-segment value of each segment bit, Y is a total segment bit value, wherein N is an integer, and 0 < X is less than or equal to 1.
Taking the above-mentioned incomes as an example, assuming that the score of the incomes is 10 points, there are 9 intervals between 1-10 points in order from small to large, and assuming that 25% of the points are taken, that is, the score value x=25% of each point is 4, that is, 9/4=2.25, the last position of the first point is 2.25+1, and then the final position is rounded to 3, to obtain the current point value n=3, the automatic score d=3+ (3×0.25) × (4-3) =3.75, that is, the automatic score D is less than or equal to 3.75 points all belong to 25% points.
In a specific implementation, the calculating, by JAVA algorithm, the automatic scoring condition of each piece of enterprise index data, as shown in fig. 5, includes:
s431, circularly calculating enterprise index data of each stage.
In order to process the enterprise index data of each stage at the same time and realize efficient calculation, as one implementation manner, the loop calculates the enterprise index data of each stage, specifically: asynchronous calculation processing is performed on enterprise index data of each stage by using a completable eFuse tool in JAVA.
S432, grouping enterprise index data of each stage according to the enterprise unified social credit code.
Because the enterprise unified social credit code has uniqueness, enterprise index data of a certain enterprise in different stages can be bound according to the enterprise unified social credit code, wherein the data of which key is taken as the enterprise unified social credit code and value is taken as a key object in the enterprise index data can be obtained.
S433, obtaining the score corresponding to the enterprise index data by combining the preset configuration conditions or the automatically generated conditions.
In the actual application process, the conditions for obtaining the scores corresponding to the enterprise index data comprise two types, wherein one type is a preset configuration condition, the other type is an automatically generated condition, the two types can be used alternatively or in combination, when the user does not preset the configuration condition, the system can obtain the scores corresponding to the enterprise index data through the automatically generated condition, namely, a user-defined algorithm is used for calculating the index data judgment conditions corresponding to each stage of the enterprise, and the judgment and acquisition are not needed to be carried out completely depending on the configuration condition, so that the condition of automatic scoring is realized.
S440, judging the automatic scoring condition of the enterprise index data by using the JS script, and realizing automatic scoring.
In the step, the JS script is used for conditional judgment according to the automatic and configured judgment conditions, so that the condition of the character string stored and input in the JSON can be directly used for direct judgment, no conversion is needed, and the problem of quick input and output can be perfectly solved.
Fig. 6 is a schematic diagram of an application process of a method for automatically grading enterprise index data in a stepwise manner, and finally realizes the automatic grading of the enterprise index data in a stepwise manner through a plurality of columns of processes.
Example 2:
based on the same general technical scheme as that of embodiment 1, as shown in fig. 7, a schematic structural diagram of an apparatus for automatically grading enterprise index data in stages according to embodiment 2 is provided, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor for performing the method of staged automatic scoring of enterprise metrics data as described in embodiment 1.
In summary, the present invention provides a method and an apparatus for stage-wise automatic scoring for enterprise index data, which perform stage-wise division on synchronized and categorized enterprise index data, and automatically score and sort enterprise index data of each stage, so as to rapidly locate an enterprise with excellent each stage.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, electronic device, or computer software program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, systems, electronic devices, or computer software program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
Claims (10)
1. A method for automatically scoring corporate index data in stages, comprising:
acquiring and synchronizing enterprise index data;
converting the acquired and synchronized enterprise index data;
step-by-step division is carried out on the converted enterprise index data;
and automatically scoring the stepwise divided enterprise index data.
2. The method for staged automatic scoring for corporate target data of claim 1, wherein the converting the acquired and synchronized corporate target data comprises:
pre-configuring a local index configuration file for enterprise index data conversion;
matching the local index configuration file with the acquired and synchronized enterprise index data;
and obtaining enterprise index data which can be identified by the program according to the matching result.
3. The method for automatically grading enterprise index data in stages according to claim 2, wherein the step of grading the converted enterprise index data comprises:
determining a key object in the enterprise index data and a time period in which the key object is located;
obtaining a time series of enterprise index data through a time period in which the key object is positioned;
the basis of the stepwise division is determined by the time series of the enterprise index data.
4. The method for automatically scoring the staged approach to enterprise index data as claimed in claim 1, wherein automatically scoring the staged approach to enterprise index data comprises:
sequencing and integrating enterprise index data of each stage according to the size of the data value;
segmenting the enterprise index data after sequencing and integration according to given scoring areas;
calculating an automatic scoring condition of each section of enterprise index data through a JAVA algorithm;
and judging the automatic scoring condition of the enterprise index data by using the JS script, so as to realize automatic scoring.
5. The method for automatically grading enterprise index data according to claim 4, wherein the calculation formula of the JAVA algorithm is specifically:
D＝N+(N×X)×(Y-N)
wherein D is an automatic score, N is a current segment number, X is a scoring inter-partition value for each segment, and Y is a total segment number.
6. The method for automatically scoring the corporate target data in stages according to claim 5, wherein the calculating the automatic scoring condition of each piece of corporate target data by JAVA algorithm comprises:
circularly calculating enterprise index data of each stage;
grouping enterprise index data of each stage according to the enterprise unified social credit code;
and obtaining the score corresponding to the enterprise index data by combining preset configuration conditions or automatically generated conditions.
7. The method for automatically grading enterprise index data according to claim 6, wherein the loop calculates enterprise index data of each stage, specifically:
asynchronous calculation processing is performed on enterprise index data of each stage by using a completable eFuse tool in JAVA.
8. The method for staged automatic scoring for enterprise index data of claim 3, wherein the key objects in the enterprise index data comprise: one or more of revenue, research and development investment, number of incumbents, and academic duty cycle.
9. The method for automatically grading corporate target data according to claim 3, wherein the grading the converted corporate target data comprises: one or more of the initial, growth, development and maturation phases.
10. An apparatus for automatically scoring corporate index data in stages, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor for performing the method for staged automatic scoring of enterprise indicator data as claimed in any one of claims 1-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211629626.XA CN116307811B (en) | 2022-12-19 | 2022-12-19 | Method and device for automatically grading enterprise index data in staged mode |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211629626.XA CN116307811B (en) | 2022-12-19 | 2022-12-19 | Method and device for automatically grading enterprise index data in staged mode |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116307811A true CN116307811A (en) | 2023-06-23 |
| CN116307811B CN116307811B (en) | 2024-02-20 |
Family
ID=86819276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211629626.XA Active CN116307811B (en) | 2022-12-19 | 2022-12-19 | Method and device for automatically grading enterprise index data in staged mode |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116307811B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105574666A (en) * | 2015-12-15 | 2016-05-11 | 浪潮软件股份有限公司 | Method and device for evaluating credit level of enterprise based on key data modeling |
| CN111382948A (en) * | 2020-03-17 | 2020-07-07 | 数联天下(北京)科技有限公司 | Method and device for quantitatively evaluating enterprise development potential |
| CN111737608A (en) * | 2020-06-22 | 2020-10-02 | 中国银行股份有限公司 | Enterprise information retrieval result ordering method and device |
| CN112150123A (en) * | 2020-10-19 | 2020-12-29 | 泰华智慧产业集团股份有限公司 | Method and system for custom configuration of enterprise evaluation model |
| CN112668945A (en) * | 2021-01-27 | 2021-04-16 | 天元大数据信用管理有限公司 | Enterprise credit risk assessment method and device |
| CN115081950A (en) * | 2022-07-28 | 2022-09-20 | 江西省智能产业技术创新研究院 | Enterprise growth assessment modeling method, system, computer and readable storage medium |
-
2022
- 2022-12-19 CN CN202211629626.XA patent/CN116307811B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105574666A (en) * | 2015-12-15 | 2016-05-11 | 浪潮软件股份有限公司 | Method and device for evaluating credit level of enterprise based on key data modeling |
| CN111382948A (en) * | 2020-03-17 | 2020-07-07 | 数联天下(北京)科技有限公司 | Method and device for quantitatively evaluating enterprise development potential |
| CN111737608A (en) * | 2020-06-22 | 2020-10-02 | 中国银行股份有限公司 | Enterprise information retrieval result ordering method and device |
| CN112150123A (en) * | 2020-10-19 | 2020-12-29 | 泰华智慧产业集团股份有限公司 | Method and system for custom configuration of enterprise evaluation model |
| CN112668945A (en) * | 2021-01-27 | 2021-04-16 | 天元大数据信用管理有限公司 | Enterprise credit risk assessment method and device |
| CN115081950A (en) * | 2022-07-28 | 2022-09-20 | 江西省智能产业技术创新研究院 | Enterprise growth assessment modeling method, system, computer and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116307811B (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108153784B (en) | Synchronous data processing method and device | |
| CN110209728B (en) | Distributed heterogeneous database synchronization method, electronic equipment and storage medium | |
| CN107016019B (en) | Database index creation method and device | |
| CN107016018B (en) | Database index creation method and device | |
| CN110908891A (en) | Test data generation method and device, electronic equipment and storage medium | |
| CN109636345B (en) | Intelligent management method and system for business handling workflow | |
| CN105893482A (en) | Engine test data fully-automatic extracting and Word report generating method | |
| CN113420537B (en) | Method, device, equipment and storage medium for processing electronic form data | |
| CN112883042A (en) | Data updating and displaying method and device, electronic equipment and storage medium | |
| CN114416703A (en) | Method, device, equipment and medium for automatically monitoring data integrity | |
| CN111737608A (en) | Enterprise information retrieval result ordering method and device | |
| CN106844320B (en) | Financial statement integration method and equipment | |
| CN116307811B (en) | Method and device for automatically grading enterprise index data in staged mode | |
| CN115545577B (en) | Method and equipment for processing scheduling data | |
| CN108268456B (en) | Method for establishing invoice database and method for inquiring invoices in database | |
| CN108121745B (en) | Data loading method and device | |
| CN110457064B (en) | Method and device for generating network cutover script | |
| CN110929207B (en) | Data processing method, device and computer readable storage medium | |
| CN115422275A (en) | Data processing method, device, equipment and storage medium | |
| CN111143356A (en) | Report retrieval method and device | |
| CN114385188A (en) | Code workload statistical method and device and electronic equipment | |
| CN110895542A (en) | High-risk SQL statement screening method and device | |
| CN114995314B (en) | Automatic statistical method and system for variable usage information in nuclear power plant DCS system | |
| CN116243892B (en) | Dynamic JAVA implementation method of decision engine rule | |
| CN114240078A (en) | Task allocation method and device |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |