CN115511432A - Accounting talent big data management method and system, readable storage medium and computer - Google Patents
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Abstract
The invention provides a method, a system, a readable storage medium and a computer for managing big data of accountants, wherein the method comprises the following steps: acquiring all to-be-evaluated accountant talent information in an accountant talent database, wherein the to-be-evaluated accountant talent information at least comprises an identity and various corresponding evaluation data; filling each evaluation result into a talent evaluation table corresponding to each identity to obtain a plurality of accounting talent evaluation tables; analyzing a first-class requirement index and a second-class requirement index in the accounting talent requirement information sent by each enterprise acquired in real time; respectively calculating a priority coefficient and a comprehensive evaluation coefficient of each accounting talent evaluation table based on the first-class demand index and the second-class demand index; and respectively calculating the evaluation scores of the accounting talent evaluation tables according to the priority coefficients and the comprehensive evaluation coefficients of the accounting talent evaluation tables, and sorting the accounting talent evaluation tables according to the evaluation scores so as to realize the management of the information of the accounting talents to be evaluated in the accounting talent database.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for managing big data of accountants, a readable storage medium and a computer.
Background
Along with the rapid development of various enterprises, the requirement of financial informatization is continuously improved, the overall planning and processing requirements of various enterprises on financial data are higher and higher, and the market demand on accountants is larger and larger.
When an enterprise needs talents, recruitment information is often sent out, so that each talent sends resumes to the enterprise through the recruitment information, and when the number of people delivering the resumes is large, the workload of the enterprise is large; however, each enterprise has different requirements for the talents of the accountants, and the related skill level of the talents of the accountants cannot be known only through the resume, so that the enterprise needs to screen out the accountants meeting the requirements from all the accountants delivering the resume, send interview invitations to the accountants meeting the requirements, and perform skill evaluation on the accountants through the persons with rich experience in the enterprise, so that the recruitment process of the accountants is complicated, and the required industry experience level requirement is high.
Disclosure of Invention
In view of the above, it is an object of the present invention to provide a method, system, readable storage medium and computer for managing big data of accountant talents, so as to solve at least the above-mentioned deficiencies in the art.
The invention provides a method for managing big data of accountants, which is characterized by comprising the following steps:
acquiring all accountant talent information to be evaluated in an accountant talent database, wherein the accountant talent information to be evaluated at least comprises an identity and various corresponding evaluation data;
correspondingly creating talent evaluation tables according to the corresponding identity of the information of the accountants to be evaluated, respectively evaluating the evaluation data by using each evaluation index, and filling each evaluation result into the corresponding talent evaluation table to generate a plurality of accountants evaluation tables;
acquiring accounting talent demand information sent by each enterprise in real time, and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
respectively calculating the priority coefficient of each accounting talent evaluation table based on the first-class demand indexes, and respectively calculating the comprehensive evaluation coefficient of each accounting talent evaluation table based on the second-class demand indexes;
and respectively calculating the evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sorting each accounting talent evaluation table according to each evaluation score so as to realize the management of the information of each to-be-evaluated talent in the accounting talent database.
Further, the step of evaluating each of the evaluation data by using each of the evaluation indexes includes:
respectively acquiring evaluation standards of each college and each enterprise on accountants, and respectively constructing a college evaluation index and an enterprise evaluation index according to the evaluation standards of each college and the evaluation standards of each enterprise;
and respectively evaluating the evaluation data by using the college evaluation index and the enterprise evaluation index to obtain an evaluation result of the talent information of the accountants to be evaluated.
Further, the step of analyzing the first-class requirement index and the second-class requirement index in the accounting talent requirement information comprises the following steps:
acquiring various accounting skill evaluation data, and constructing an accounting skill evaluation index based on the accounting skill evaluation data;
and analyzing a first-class requirement index and a second-class requirement index in the accounting talent requirement information by using each accounting skill evaluation index.
Further, the calculation formula of the evaluation score of the accountant talent evaluation table is as follows:
in the formula (I), the compound is shown in the specification,
represents the evaluation value of the accountant talent evaluation table, and represents the priority coefficient,
represents the comprehensive evaluation coefficient, and gamma represents the basic score of the accounting talent evaluation table.
Further, the method further comprises:
when an accounting talent demand request sent by an enterprise is received, analyzing talent demand indexes in the accounting talent demand request;
and sequencing each accounting talent evaluation table according to the talent demand indexes, and transmitting sequencing results to the enterprise.
The invention also provides an accounting talent big data management system, which is characterized by comprising the following components:
the talent information acquisition module is used for acquiring all the information of the accountants to be evaluated in the accountant database, wherein the information of the accountants to be evaluated at least comprises an identity and various corresponding evaluation data;
the evaluation table generation module is used for correspondingly creating talent evaluation tables for the information of the talents to be evaluated according to the corresponding identity marks of the information of the talents, evaluating the evaluation data by using various evaluation indexes, and filling the evaluation results into the corresponding talent evaluation tables to generate a plurality of talent evaluation tables;
the demand index analysis module is used for acquiring the accounting talent demand information sent by each enterprise in real time and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
the index evaluation module is used for respectively calculating the priority coefficient of each accounting talent evaluation table based on the first-class requirement indexes and respectively calculating the comprehensive evaluation coefficient of each accounting talent evaluation table based on the second-class requirement indexes;
and the information management module is used for respectively calculating the evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sorting each accounting talent evaluation table according to each evaluation score so as to realize the management of the information of each to-be-evaluated accounting talent in the accounting talent database.
Further, the evaluation table generating module includes:
the system comprises an assessment index construction unit, a management unit and a management unit, wherein the assessment index construction unit is used for respectively acquiring assessment standards of each college and each enterprise on accounting talents, and respectively constructing a college assessment index and an enterprise assessment index according to the assessment standards of each college and the assessment standards of each enterprise;
and the assessment data evaluation unit is used for evaluating each assessment data by utilizing the college assessment index and the enterprise assessment index to obtain an assessment result of each accounting talent information to be assessed.
Further, the demand index analyzing module includes:
the skill evaluation unit is used for acquiring various accounting skill evaluation data and constructing an accounting skill evaluation index based on the accounting skill evaluation data;
and the requirement index analyzing unit is used for analyzing a first-class requirement index and a second-class requirement index in the accountant talent requirement information by utilizing each accounting skill evaluation index.
Further, the system further comprises:
the system comprises a talent demand request module, a talent demand analysis module and a talent demand analysis module, wherein the talent demand request module is used for analyzing talent demand indexes in an accounting talent demand request sent by an enterprise when the accounting talent demand request is received;
and the evaluation table sorting module is used for sorting the accounting talent evaluation tables according to the talent demand indexes and transmitting sorting results to the enterprise.
The invention also provides a readable storage medium, on which a computer program is stored, wherein the computer program is executed by a processor to realize the accounting talent big data management method.
The invention also provides a computer, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the accounting talent big data management method.
The invention discloses a method, a system, a readable storage medium and a computer for managing big data of accountants, which are used for conveniently managing the data of various accountants by integrating the information of various accountants in an accountant talent database, evaluating various accountants by using various evaluation indexes, constructing multiple types of demand indexes by using enterprise demands, calculating the evaluation score of various types of accountants according to various demand indexes, and sorting the data of various types of accountants by using the evaluation score so as to enable enterprises to more intuitively see the information of various accountants according to the sorted data and conveniently recruit corresponding accountants according to the enterprise demands.
Drawings
FIG. 1 is a flowchart of a method for managing big data of accountants according to a first embodiment of the present invention;
FIG. 2 is a detailed flowchart of step S102 in FIG. 1;
FIG. 3 is a detailed flowchart of step S103 in FIG. 1;
FIG. 4 is a flowchart of a method for managing big data of accountants according to a second embodiment of the present invention;
FIG. 5 is a block diagram of a data management system for accountants in a third embodiment of the present invention;
fig. 6 is a block diagram of a computer in a fourth embodiment of the present invention.
Description of the main element symbols:
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The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings. Several embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, a method for managing big data of accountant talents in a first embodiment of the present invention is shown, the method specifically includes steps S101 to S105:
s101, acquiring all talent information to be evaluated in an accountant database, wherein the talent information to be evaluated at least comprises an identity and various corresponding evaluation data;
it should be noted that the database of the accountant talent is formed by the user sending the relevant information through the terminal device, the terminal device includes a mobile phone, a computer and other devices with communication function, and the relevant information includes the information such as the identification (i.e. the relevant identification such as name, sex, age, etc.), the education experience, the job assignment situation of the enterprise, and the like.
In this embodiment, when the corresponding to-be-evaluated talent information is obtained through the accountant database, the corresponding evaluation data is obtained according to the corresponding accountant information, wherein the evaluation data includes evaluation data of the middle school education experience and evaluation data of the enterprise in the enterprise job assignment situation. The school evaluation data is subject achievement related to accounting skills of the user (namely the accountant talents) in the taught school, and the enterprise evaluation data is accounting skill evaluation data of the user in enterprises of which the user (namely the accountant talents) is in the duties of the enterprise.
S102, correspondingly creating talent evaluation tables for the information of the talents to be evaluated according to the corresponding identity of the information of the talents to be evaluated, respectively evaluating the evaluation data by using each evaluation index, and filling each evaluation result into the corresponding talent evaluation table to generate a plurality of talent evaluation tables;
further, referring to fig. 2, the step S102 specifically includes steps S1021 to S1022:
s1021, respectively acquiring evaluation standards of each college and each enterprise for accountants, and respectively constructing a college evaluation index and an enterprise evaluation index according to the evaluation standards of each college and the evaluation standards of each enterprise;
and S1022, respectively evaluating each evaluation data by using the college evaluation index and the enterprise evaluation index to obtain an evaluation result of each accounting talent information to be evaluated.
In specific implementation, the accounting talent information to be evaluated is correspondingly created into talent evaluation tables according to corresponding identification marks, each accounting talent information to be evaluated corresponds to one talent evaluation table, evaluation indexes of accounting skills of various colleges for accounting talents and evaluation indexes of accounting skills of various enterprises for accounting talents are respectively obtained, and college evaluation indexes and enterprise evaluation indexes are respectively constructed by utilizing the evaluation indexes of the accounting skills of various colleges for accounting talents and the evaluation indexes of the accounting skills of various enterprises for accounting talents, wherein the evaluation indexes of the accounting skills of various colleges for accounting talents are the evaluation indexes of various college for basic skills (various accounting subjects in the college), and the evaluation indexes of the accounting skills of various enterprises for accounting talents are the evaluation indexes of various enterprises for advanced skills (extended skills of various enterprises in the college).
Furthermore, the two evaluation indexes are used for evaluating each evaluation data respectively, so that an evaluation result of each evaluation data can be obtained, the evaluation result is an evaluation result of each to-be-evaluated talent information, and the evaluation result is correspondingly input into a corresponding talent evaluation table to form a plurality of talent evaluation tables.
S103, acquiring the accounting talent demand information sent by each enterprise in real time, and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
further, referring to fig. 3, the step S103 specifically includes steps S1031 to S1032:
s1031, acquiring various accounting skill evaluation data, and constructing accounting skill evaluation indexes based on the accounting skill evaluation data;
s1032, analyzing the first-class requirement index and the second-class requirement index in the accounting talent requirement information by using each accounting skill evaluation index.
In specific implementation, various types of accounting skill evaluation data are acquired, and an accounting skill evaluation index is constructed based on the accounting skill evaluation data, wherein the various types of accounting skill evaluation data are evaluation data of all accounting skills.
The first-class requirement index and the second-class requirement index in the accounting talent requirement information sent by each enterprise are analyzed by using the accounting skill evaluation indexes, for example: the accounting talent demand information needed by the enterprise A is 'for accounting talents at the earning posts', one type of demand indexes analyzed through each accounting skill evaluation index are 'earning post-income statement making', 'earning post-income management system making' and other skills indispensable for accounting talents at related earning posts, and the second type of demand indexes are 'office software', 'communication skills' and other skills which should be possessed by accounting talents at the earning posts.
S104, calculating the priority coefficient of each accountant talent evaluation table based on the first-class requirement indexes, and calculating the comprehensive evaluation coefficient of each accountant talent evaluation table based on the second-class requirement indexes;
in the embodiment, a mapping table of a class of requirement index levels and priority coefficients can be constructed in advance, and after the class of requirement index levels of the accounting talent evaluation tables are calculated by using the class of requirement indexes, corresponding priority coefficients can be obtained in a table look-up mode;
comparing data corresponding to a class of demand indexes in an accounting talent assessment table with the class of demand indexes, marking the data as a priority when the data is larger than the class of demand indexes corresponding to the data, and setting the class of demand indexes of the accounting talent assessment table as a first class when the number of the data which is the priority in the accounting talent assessment table is in a first number threshold interval (in the embodiment, the first number threshold interval is 91-100% of the number of all the data in the accounting talent assessment table); when the number of the data of the top grade in the accountant talent evaluation table is in a second number threshold interval (in this embodiment, the second number threshold interval is 61-90% of the number of all the data in the accountant talent evaluation table), the first-class requirement index level of the accountant talent evaluation table is in the second grade; when the amount of the data of the top grade in the accounting talent evaluation table is in a third amount threshold interval (in this embodiment, the third amount threshold interval is 41-60% of the amount of all the data in the accounting talent evaluation table), the first type requirement index of the accounting talent evaluation table is of three levels; when the number of the data of the top grade in the accountant talent evaluation table is in a fourth number threshold interval (in this embodiment, the fourth number threshold interval is 0-40% of the number of all the data in the accountant talent evaluation table), the first-class requirement index level of the accountant talent evaluation table is four-class;
some examples of a class of mapping tables of demand indicator level and priority coefficient are as follows:
| class I demand index grade | A priority coefficient C |
| First level | 1.2 |
| Second stage | 1.0 |
| Three-stage | 0.8 |
| Four stages | 0.5 |
Further, in this embodiment, a mapping table of the two types of demand index levels and the comprehensive evaluation coefficient can be constructed in advance, and after the two types of demand index levels of the talent evaluation table of each accountant are calculated by using the two types of demand indexes, the corresponding comprehensive evaluation coefficient can be obtained by looking up the table; in the embodiment, after the class two requirement indexes are used for calculating the class two requirement index grades of each accounting talent evaluation table, the corresponding comprehensive evaluation coefficient can be obtained in a table look-up mode;
wherein, the data corresponding to the second type demand index in the accountant talent evaluation table is compared with the second type demand index, when the data is greater than the second type demand index corresponding to the data, the data is marked as a priority, and when the ratio of the number of the data of the priority in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is greater than a first ratio threshold (in this embodiment, the first ratio threshold is 80%), the second type demand index level of the accountant talent evaluation table is marked as a first level; when the ratio of the number of the top-ranked data in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is smaller than a first ratio threshold and larger than a second ratio threshold (in this embodiment, the second ratio threshold is 60%), marking the two-class requirement index level of the accountant talent evaluation table as two-class; when the ratio of the number of the data of the top grade in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is smaller than a second ratio threshold, marking the two-class requirement index level of the accountant talent evaluation table as three-class.
The following are some examples of the mapping table of the two demand index levels and the comprehensive evaluation coefficient:
and S105, respectively calculating the evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sorting each accounting talent evaluation table according to each evaluation score so as to manage the information of each to-be-evaluated accounting talent in the accounting talent database.
In specific implementation, the evaluation score of each accounting talent evaluation table is calculated according to the obtained priority coefficient and the obtained comprehensive evaluation coefficient of each accounting talent evaluation table according to the following formula:
in the formula (I), the compound is shown in the specification,
represents the evaluation score of the accountant evaluation table, and represents the priority coefficient,
represents the overall evaluation coefficient, and γ represents the base score of the accountant talent evaluation chart, which is 100 in the present embodiment.
Furthermore, the accounting talent evaluation tables are sorted by using the evaluation scores, and then management of the information of the accounting talents to be evaluated in the talent accounting database is realized.
In summary, the accounting talent big data management method in the above embodiment of the present invention integrates the information of each accounting talent into the accounting talent database to facilitate data management of each type of accounting talents, evaluates each type of accounting talent by using each evaluation index, constructs multiple types of demand indexes by using enterprise demands, calculates the evaluation score of each type of accounting talent according to each type of demand indexes, and performs data sorting on each type of accounting talent according to the evaluation score to facilitate the enterprise to more intuitively view the information of each type of accounting talent according to the sorted data, so as to recruit corresponding accounting talents according to enterprise demands.
Example two
Referring to fig. 4, a method for managing big data of accountants in a second embodiment of the present invention is shown, the method specifically includes steps S201 to S207:
s201, acquiring all to-be-evaluated talent information in an accountant database, wherein the to-be-evaluated talent information at least comprises an identity and various corresponding evaluation data;
it should be noted that the database of the accountant talents is formed by a user sending relevant information through a terminal device, the terminal device includes a mobile phone, a computer and other devices with communication functions, and the relevant information includes information such as an identity (i.e., a name, a sex, an age and other relevant identities), an educational experience, an enterprise employment situation and the like.
In this embodiment, when the corresponding to-be-evaluated talent information is obtained through the accountant database, the corresponding evaluation data is obtained according to the corresponding accountant information, wherein the evaluation data includes evaluation data of the middle school education experience and evaluation data of the enterprise in the enterprise job assignment situation. The academic evaluation data is subject scores related to accounting skills of the user (namely the accountant talents) in the taught academic colleges of the user, and the enterprise evaluation data is accounting skill evaluation data of the user in enterprises where the user (namely the accountant talents) is at work.
S202, correspondingly creating talent evaluation tables according to the corresponding identity of the information of the accountants to be evaluated, respectively evaluating the evaluation data by using each evaluation index, and filling each evaluation result into the corresponding talent evaluation table to generate a plurality of talent evaluation tables;
in specific implementation, the accountant talent information to be evaluated is correspondingly created according to the corresponding identity marks to form talent evaluation tables, each accountant talent information to be evaluated corresponds to one talent evaluation table, evaluation indexes of accounting skills of each college for accountants and evaluation indexes of accounting skills of each enterprise for accountants are respectively obtained, and a college evaluation index and an enterprise evaluation index are respectively constructed by utilizing the evaluation indexes of the accounting skills of each college for accountants and the evaluation indexes of the accounting skills of each enterprise for accountants, wherein the evaluation indexes of the accounting skills of each college for accountants are the evaluation indexes of each college for accounting basic skills (various accounting subjects in the college), and the evaluation indexes of the accounting skills of each enterprise for accountants are the evaluation indexes of each enterprise for accounting advanced skills (extended skills in the enterprise for various skills).
Furthermore, the two evaluation indexes are used for evaluating each evaluation data respectively, so that an evaluation result of each evaluation data can be obtained, the evaluation result is an evaluation result of each to-be-evaluated talent information, and the evaluation result is correspondingly input into a corresponding talent evaluation table to form a plurality of talent evaluation tables.
S203, acquiring the accounting talent demand information sent by each enterprise in real time, and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
in specific implementation, various types of accounting skill evaluation data are obtained, and an accounting skill evaluation index is constructed on the basis of the various types of accounting skill evaluation data, wherein the various types of accounting skill evaluation data are evaluation data of all accounting skills.
The first-class requirement index and the second-class requirement index in the accounting talent requirement information sent by each enterprise are analyzed by using the accounting skill evaluation indexes, for example: the accounting talent demand information needed by the enterprise A is 'accounting talents for the earning posts', one type of demand indexes analyzed through each accounting skill evaluation index are 'earning post-income statement making', 'earning post-income management system making' and other skills indispensable for the accounting talents of the relevant earning posts, and the other type of demand indexes are 'office software', 'communication skills' and other skills which the accounting talents of the earning posts should have.
S204, calculating the priority coefficient of each accounting talent evaluation table based on the first-class requirement indexes, and calculating the comprehensive evaluation coefficient of each accounting talent evaluation table based on the second-class requirement indexes;
in the embodiment, a mapping table of a class of requirement index levels and priority coefficients can be constructed in advance, and after the class of requirement index levels of the accounting talent evaluation tables are calculated by using the class of requirement indexes, corresponding priority coefficients can be obtained in a table look-up mode;
comparing data corresponding to a class of demand indexes in an accounting talent assessment table with the class of demand indexes, marking the data as a priority when the data is larger than the class of demand indexes corresponding to the data, and setting the class of demand indexes of the accounting talent assessment table as a first class when the number of the data which is the priority in the accounting talent assessment table is in a first number threshold interval (in the embodiment, the first number threshold interval is 91-100% of the number of all the data in the accounting talent assessment table); when the number of the data of the top grade in the accountant talent evaluation table is in a second number threshold interval (in this embodiment, the second number threshold interval is 61-90% of the number of all the data in the accountant talent evaluation table), the first-class requirement index level of the accountant talent evaluation table is in the second grade; when the amount of the data of the top grade in the accounting talent evaluation table is in a third amount threshold interval (in this embodiment, the third amount threshold interval is 41-60% of the amount of all the data in the accounting talent evaluation table), the first type requirement index of the accounting talent evaluation table is of three levels; when the number of the data of the top grade in the accountant talent evaluation table is in a fourth number threshold interval (in this embodiment, the fourth number threshold interval is 0-40% of the number of all the data in the accountant talent evaluation table), the first-class requirement index level of the accountant talent evaluation table is four-class;
some examples of a class of mapping tables of demand indicator level and priority coefficient are as follows:
further, in this embodiment, after the class two requirement index levels of each accounting talent evaluation table are calculated by using the class two requirement indexes by constructing a mapping table of the class two requirement index levels and the comprehensive evaluation coefficient in advance, the corresponding comprehensive evaluation coefficient can be obtained by looking up the table; in the embodiment, after the class two requirement indexes are used for calculating the class two requirement index grades of each accounting talent evaluation table, the corresponding comprehensive evaluation coefficient can be obtained in a table look-up mode;
wherein, the data corresponding to the second type demand index in the accountant talent evaluation table is compared with the second type demand index, when the data is greater than the second type demand index corresponding to the data, the data is marked as a priority, and when the ratio of the number of the data of the priority in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is greater than a first ratio threshold (in this embodiment, the first ratio threshold is 80%), the second type demand index level of the accountant talent evaluation table is marked as a first level; when the ratio of the number of the top-ranked data in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is smaller than a first ratio threshold and larger than a second ratio threshold (in this embodiment, the second ratio threshold is 60%), marking the two-class requirement index level of the accountant talent evaluation table as two-class; when the ratio of the number of the data of the top grade in the accountant talent evaluation table to the number of all the data in the accountant talent evaluation table is smaller than a second ratio threshold, marking the two-class requirement index level of the accountant talent evaluation table as three-class.
The following are some examples of the mapping table of the two demand index levels and the comprehensive evaluation coefficient:
s205, respectively calculating the evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sorting each accounting talent evaluation table according to each evaluation score to realize the management of information of each accounting talent to be evaluated in the accounting talent database;
in specific implementation, the evaluation score of each accounting talent evaluation table is calculated according to the obtained priority coefficient and the obtained comprehensive evaluation coefficient of each accounting talent evaluation table according to the following formula:
in the formula (I), the compound is shown in the specification,
represents the evaluation score of the accountant evaluation table, and represents the priority coefficient,
represents the comprehensive evaluation coefficient, and gamma represents the basic score of the accountant talent evaluation table.
Furthermore, the accounting talent evaluation tables are sorted by using the evaluation scores, and then management of the information of the accounting talents to be evaluated in the talent accounting database is realized.
S206, when an accounting talent demand request sent by an enterprise is received, analyzing talent demand indexes in the accounting talent demand request;
and S207, sequencing the accounting talent evaluation tables according to the talent demand indexes, and transmitting sequencing results to the enterprise.
When concrete implementation, when obtaining that there is accounting personnel demand in certain enterprise, can send accounting personnel demand request to accounting personnel database, this moment, through analyzing out personnel demand index in this accounting personnel demand request, for example: the enterprise A needs to recruit accounting talents on the cost accounting post, sends the requirements of the enterprise A together, analyzes talent requirement indexes corresponding to the changed requirements through preset analysis rules, and sorts the obtained accounting talent evaluation tables according to the talent requirement indexes so that the results meet the requirements of the enterprise A.
Compared with the accounting talent big data management method in the first embodiment, the accounting talent big data management method in the embodiment sorts the accounting talent evaluation tables according to the talent demand indexes by analyzing talent demand indexes in the accounting talent demand requests sent by enterprises, reduces early-stage screening work of the enterprises, and can more accurately find out the accounting talents meeting requirements.
EXAMPLE III
Referring to fig. 5, a system for managing big data of an accountant talent according to a third embodiment of the present invention is shown, and the system includes:
the talent information acquisition module 11 is configured to acquire all to-be-evaluated talent information in an accountant database, where the to-be-evaluated talent information at least includes an identity and various evaluation data corresponding to the identity;
an evaluation table generating module 12, configured to respectively and correspondingly create talent evaluation tables for the information of each to-be-evaluated accountant according to the corresponding identity, respectively evaluate each evaluation data by using each evaluation index, and fill each evaluation result in the corresponding talent evaluation table to generate a plurality of accounting talent evaluation tables;
further, the evaluation table generation module 12 includes:
the system comprises an assessment index construction unit, a data processing unit and a data processing unit, wherein the assessment index construction unit is used for respectively acquiring assessment standards of each college and each enterprise for accountants, and respectively constructing a college assessment index and an enterprise assessment index according to the assessment standards of each college and the assessment standards of each enterprise;
and the assessment data assessment unit is used for respectively assessing the assessment data by utilizing the college assessment index and the enterprise assessment index to obtain an assessment result of the talent information of the accountants to be assessed.
The demand index analysis module 13 is configured to obtain, in real time, the accounting talent demand information sent by each enterprise, and analyze a first-class demand index and a second-class demand index in the accounting talent demand information;
further, the demand indicator parsing module 13 includes:
the skill evaluation unit is used for acquiring various accounting skill evaluation data and constructing an accounting skill evaluation index based on the accounting skill evaluation data;
and the requirement index analyzing unit is used for analyzing a first-class requirement index and a second-class requirement index in the accounting talent requirement information by utilizing each accounting skill evaluation index.
The index evaluation module 14 is configured to calculate priority coefficients of the accounting talent evaluation tables based on the first class demand indexes, and calculate comprehensive evaluation coefficients of the accounting talent evaluation tables based on the second class demand indexes;
and the information management module 15 is configured to calculate an evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sort the accounting talent evaluation tables according to the evaluation scores to manage the information of each to-be-evaluated accounting talent in the accounting talent database.
In other optional embodiments, the system further comprises:
the talent demand request module is used for analyzing talent demand indexes in an accounting talent demand request sent by an enterprise when the accounting talent demand request is received;
and the evaluation table sorting module is used for sorting the accounting talent evaluation tables according to the talent demand indexes and transmitting sorting results to the enterprise.
The functions or operation steps of the modules and units when executed are substantially the same as those of the method embodiments, and are not described herein again.
The implementation principle and the technical effects of the accounting talent big data management system provided by the embodiment of the invention are the same as those of the method embodiment, and for brief description, the corresponding contents in the method embodiment can be referred to where the device embodiment is not mentioned.
Example four
Referring to fig. 6, a computer according to a fourth embodiment of the present invention is shown, which includes a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, wherein the processor 20 implements the method for managing big data of accountants when executing the computer program 30.
The memory 10 includes at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 10 may in some embodiments be an internal storage unit of a computer, for example a hard disk of the computer. The memory 10 may also be an external storage device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 10 may also include both an internal storage unit and an external storage device of the computer. The memory 10 may be used not only to store application software installed in a computer and various kinds of data, but also to temporarily store data that has been output or will be output.
In some embodiments, the processor 20 may be an Electronic Control Unit (ECU), a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip, and is configured to run program codes stored in the memory 10 or process data, such as executing an access restriction program.
It should be noted that the configuration shown in fig. 6 does not constitute a limitation of the computer, and in other embodiments the computer may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components may be used.
The embodiment of the invention also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for managing the data of the accountant talents is realized.
Those of skill in the art will understand that the logic and/or steps illustrated in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (10)
1. A method for managing big data of accountants is characterized by comprising the following steps:
acquiring all to-be-evaluated accountant talent information in an accountant talent database, wherein the to-be-evaluated accountant talent information at least comprises an identity and various corresponding evaluation data;
correspondingly creating talent evaluation tables according to the corresponding identity of each to-be-evaluated talent information, respectively evaluating each evaluation data by using each evaluation index, and filling each evaluation result into the corresponding talent evaluation table to generate a plurality of accountant evaluation tables;
acquiring accounting talent demand information sent by each enterprise in real time, and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
respectively calculating the priority coefficient of each accounting talent evaluation table based on the first-class requirement indexes, and respectively calculating the comprehensive evaluation coefficient of each accounting talent evaluation table based on the second-class requirement indexes;
and respectively calculating the evaluation score of each accounting talent evaluation table according to the priority coefficient of each accounting talent evaluation table and the comprehensive evaluation coefficient of each accounting talent evaluation table, and sorting the accounting talent evaluation tables according to the evaluation scores so as to realize the management of the information of each accounting talent to be evaluated in the accounting talent database.
2. The method for managing the data of accountant talents according to claim 1, wherein the step of evaluating each of the evaluation data using each of the evaluation indexes comprises:
respectively acquiring evaluation standards of each college and each enterprise on accountants, and respectively constructing a college evaluation index and an enterprise evaluation index according to the evaluation standards of each college and the evaluation standards of each enterprise;
and respectively evaluating the evaluation data by using the college evaluation index and the enterprise evaluation index to obtain an evaluation result of the talent information of the accountants to be evaluated.
3. The method as claimed in claim 1, wherein the step of analyzing the first type requirement index and the second type requirement index of the accounting talent requirement information comprises:
acquiring various accounting skill evaluation data, and constructing an accounting skill evaluation index based on each accounting skill evaluation data;
and analyzing a first-class requirement index and a second-class requirement index in the accounting talent requirement information by using each accounting skill evaluation index.
4. The method as claimed in claim 1, wherein the evaluation score of the accountant talent evaluation table is calculated by the formula:
in the formula (I), the compound is shown in the specification,
represents the evaluation value of the accountant talent evaluation table, and represents the priority coefficient,
represents the comprehensive evaluation coefficient, and gamma represents the basic score of the accounting talent evaluation table.
5. The accountant talent big data management method according to claim 1, further comprising:
when an accounting talent demand request sent by an enterprise is received, analyzing talent demand indexes in the accounting talent demand request;
and sequencing each accounting talent evaluation table according to the talent demand indexes, and transmitting sequencing results to the enterprise.
6. An accounting talent big data management system, comprising:
the talent information acquisition module is used for acquiring all to-be-evaluated accountant talent information in an accountant talent database, wherein the to-be-evaluated accountant talent information at least comprises an identity and various corresponding evaluation data;
the evaluation table generation module is used for correspondingly creating talent evaluation tables for the information of each to-be-evaluated accountant talent according to the corresponding identity of the to-be-evaluated talent, evaluating each evaluation data by using each evaluation index, and filling each evaluation result into the corresponding talent evaluation table to generate a plurality of accounting talent evaluation tables;
the demand index analysis module is used for acquiring the accounting talent demand information sent by each enterprise in real time and analyzing a first-class demand index and a second-class demand index in the accounting talent demand information;
the index evaluation module is used for respectively calculating the priority coefficient of each accounting talent evaluation table based on the first-class demand indexes and respectively calculating the comprehensive evaluation coefficient of each accounting talent evaluation table based on the second-class demand indexes;
and the information management module is used for respectively calculating the evaluation scores of the accountant talent evaluation tables according to the priority coefficients of the accountant talent evaluation tables and the comprehensive evaluation coefficients of the accountant talent evaluation tables, and sorting the accountant talent evaluation tables according to the evaluation scores so as to realize the management of the information of the accountant talents to be evaluated in the accountant talent database.
7. The accounting talent big data management system of claim 6, wherein the evaluation table generation module comprises:
the system comprises an assessment index construction unit, a management unit and a management unit, wherein the assessment index construction unit is used for respectively acquiring assessment standards of each college and each enterprise for accountants, and respectively constructing a college assessment index and an enterprise assessment index according to the assessment standards of each college and each enterprise;
and the assessment data evaluation unit is used for evaluating each assessment data by utilizing the college assessment index and the enterprise assessment index to obtain an assessment result of each accounting talent information to be assessed.
8. The accounting talent big data management system of claim 6, wherein the requirement index parsing module comprises:
the skill evaluation unit is used for acquiring various accounting skill evaluation data and constructing an accounting skill evaluation index based on the accounting skill evaluation data;
and the requirement index analyzing unit is used for analyzing a first-class requirement index and a second-class requirement index in the accounting talent requirement information by utilizing each accounting skill evaluation index.
9. A readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the accounting talent big data management method according to any one of claims 1 to 5.
10. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of managing big data of accountant talents according to any one of claims 1 to 5 when executing the computer program.
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