Financial data automatic processing system and method

Abstract

The invention discloses an automatic financial data processing system and method, and relates to the technical field of financial data processing, and the system comprises a financial data collection module, a financial data analysis module, a performance assessment setting module and a database. When each financial worker inputs financial data, whether the input format of each financial data of each financial worker is correct, whether the input numerical value is correct and whether the input is complete are analyzed, wrong data and missing data are automatically modified and supplemented, and meanwhile, the working quality of each financial worker is analyzed. And different performance appraisal is set for each financial worker according to the analysis result, so that the wrong financial data can be quickly positioned to be input, and the accuracy of verification and the effectiveness of performance appraisal are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of financial data processing, in particular to a financial data automatic processing system and method. BACKGROUND

[0002] With the expansion of the scale of enterprises and the diversification of business, the amount of financial data is growing explosively, and the demand for fine management of enterprises is becoming increasingly strong. Accurate assessment of the work conscientiousness of financial personnel and reasonable setting of performance can effectively motivate employees to improve work quality and efficiency.

[0003] The traditional financial data processing system and method rely on manual verification of whether the entered financial data is correct after the financial data is entered. When the entered financial data is incorrect, the incorrect financial data is fed back. Each financial staff determines whether the incorrect financial data is entered by himself / herself according to the feedback and modifies the incorrect financial data. At the same time, the data entered incorrectly by each financial staff is counted, and the work quality of each financial staff is analyzed. Obviously, such a financial data processing system and method at least has the following disadvantages: 1. The traditional financial data processing system and method rely on manual verification of whether the entered financial data is correct after the financial data is entered. During the manual verification, the verification may be incorrect, which cannot guarantee the accuracy of the verification.

[0004] 2. The traditional financial data processing system and method feeds back the incorrect financial data when the entered financial data is incorrect. Each financial staff determines whether the incorrect financial data is entered by himself / herself according to the feedback and modifies the incorrect financial data. This process cannot quickly locate who entered the incorrect financial data.

[0005] 3. The traditional financial data processing system and method lacks setting different performance evaluations for each financial staff according to the work quality of each financial staff, which cannot guarantee the effectiveness of the performance evaluation. SUMMARY

[0006] In view of the above technical deficiencies, the purpose of the present application is to provide a financial data automatic processing system and method.

[0007] To solve the above technical problems, the present application adopts the following technical solutions: In a first aspect, the present application provides a financial data automatic processing system, comprising the following modules: a financial data acquisition module, a financial data analysis module, a performance evaluation setting module and a database.

[0008] The financial data acquisition module is used to acquire each original voucher image and obtain each financial data on each original voucher, and set a voucher number for each original voucher.

[0009] The financial data analysis module comprises a data accuracy analysis unit and a data integrity analysis unit.

[0010] The data accuracy analysis unit is used to detect whether the input format of each financial data is correct when each financial staff enters the financial data, and to obtain each data group of each financial staff, the number of each data group and the number of each original voucher according to the number of each financial data of each financial staff, analyze whether the value of each financial data of each financial staff is entered incorrectly, and analyze the accuracy coefficient of the financial data entry of each financial staff.

[0011] The data integrity analysis unit is used to integrate each financial data entered by each financial staff to obtain a financial statement, analyze whether each financial data in the financial statement is complete, obtain the operation number of each related data and the employee number of each financial staff that have not been entered in each incomplete financial data, and analyze the completeness coefficient of the financial data entry of each financial staff.

[0012] The performance evaluation setting module is used to analyze the work quality of each financial staff, divide each financial staff, arrange each financial staff for training according to the division result, integrate the training result into the performance evaluation, and set the performance evaluation for each financial staff.

[0013] The database is used to store the standard input format of each financial data, the number of each related data and the operation number, and the employee number of each financial staff.

[0014] In a second aspect, the present application provides a financial data automatic processing method, comprising the following steps: step one, financial data collection: collecting each original voucher image, obtaining each financial data on each original voucher, and setting a voucher number for each original voucher.

[0015] Step two, data accuracy analysis: when each financial staff enters the financial data, detect whether the input format of each financial data is correct, and obtain each data group of each financial staff, the number of each data group and the number of each original voucher according to the number of each financial data of each financial staff, analyze whether the value of each financial data of each financial staff is entered incorrectly, and analyze the accuracy coefficient of the financial data entry of each financial staff.

[0016] Step three, data integrity analysis: integrating each financial data entered by each financial staff to obtain a financial statement, analyzing whether each financial data in the financial statement is complete, obtaining the operation number of each related data and the employee number of each financial staff that have not been entered in each incomplete financial data, and analyzing the completeness coefficient of the financial data entry of each financial staff.

[0017] Step four, performance evaluation setting: analyze the work quality of each financial staff, and divide each financial staff, arrange each financial staff for training according to the division result, and integrate the training result into the performance evaluation, and set performance evaluation for each financial staff.

[0018] The beneficial effects of the present application are: 1. The present application provides a financial data automatic processing system and method, which analyzes whether the input format of each financial data of each financial staff is correct, whether the input value is correct and whether the input is complete when each financial staff enters financial data, and automatically modifies and supplements the error data and missing data, analyzes the work quality of each financial staff, and sets different performance evaluations for each financial staff according to the analysis result, which can quickly locate who enters the wrong financial data, and ensures the accuracy of verification and the effectiveness of performance evaluation.

[0019] 2. The present application obtains the input format and input value of each financial data of each financial staff when each financial staff enters financial data, judges whether the input of each financial data is correct, automatically modifies the error of each financial data, and updates the format error value and value error value of each financial staff, integrates each financial data entered by each financial staff after the entry of each financial data of each financial staff is completed, analyzes whether each financial data is entered completely, calls each incomplete data as each incomplete data, calls each related data in each incomplete financial data as each missing data, obtains each missing data of each financial staff according to the employee number of each financial staff and the operation number of each missing data, and automatically completes the missing data, and updates the missing value of each financial staff, which can quickly locate who enters the wrong financial data, and ensures the accuracy of verification.

[0020] 3. The present application analyzes the accurate coefficient of financial data entry and the completeness coefficient of financial data entry of each financial staff according to the format error value, value error value and missing value of each financial staff, analyzes the work quality of each financial staff, divides each financial staff into unqualified employees, qualified employees and excellent employees according to the work quality of each financial staff, and sets different performance evaluations for each financial staff according to the division result, which ensures the effectiveness of performance evaluation. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 The figure is a schematic diagram of the system structure of the present application.

[0023] Figure 2 The figure is a schematic diagram of the system structure of the present application. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0025] Please refer to Figure 1 The present application provides a financial data automatic processing system, which comprises the following modules: a financial data acquisition module, a financial data analysis module, a performance evaluation setting module and a database.

[0026] The financial data acquisition module is connected with the financial data analysis module, the financial data analysis module is connected with the performance evaluation setting module, and the database is connected with the financial data analysis module and the performance evaluation setting module.

[0027] The financial data acquisition module is used for acquiring images of each original voucher and obtaining each financial data on each original voucher, and setting a voucher number for each original voucher.

[0028] It should be noted that the optical character recognition technology is used to obtain each financial data on each original voucher, and the process is as follows: the acquired images of each original voucher are subjected to gray scale conversion, noise reduction and inclination correction, etc., each text in the processed images of each original voucher is segmented into each single character or each character group, the feature information of each character on each original voucher is extracted and matched with the character template or feature library of the OCR system, and the specific content of each character on each original voucher is recognized.

[0029] It should be further noted that the voucher number of each original voucher is unique, and the voucher number is composed of eight digits, the first two digits represent the category of the original voucher, and the last six digits are randomly generated numbers, for example, the number of a certain original voucher is 0A000298, 0A represents the category of the original voucher, and 000298 is a randomly generated number.

[0030] The categories of the original vouchers include invoices, receipts and reimbursement forms, etc.

[0031] The financial data analysis module comprises a data accuracy analysis unit and a data integrity analysis unit.

[0032] The data accuracy analysis unit is used to detect whether the input format of each financial data is correct when each financial staff performs financial data entry, and to obtain each data group of each financial staff according to the number of each financial data of each financial staff, obtain the number of each data group and the number of each original voucher, analyze whether the value of each financial data of each financial staff is entered incorrectly, and analyze the financial data entry accuracy coefficient of each financial staff.

[0033] It should be noted that each financial data includes product sales, product sales, and employee wages.

[0034] In one embodiment, the data accuracy analysis unit has the following specific process: when each financial staff performs financial data entry, the input format of each financial data of each financial staff is obtained, the input format of each financial data of each financial staff is compared with the standard input format of each financial data, each financial data with different input format and standard input format is called each format error data, the total number of format error data of each financial staff is counted and used as the format error value of each financial staff, and the system automatically adjusts the input format of each format error data to the standard input format.

[0035] It should be noted that the standard input format of each financial data is set by relevant staff for subsequent analysis of financial data.

[0036] When the input format of each financial data is correct, the number of each financial data of each financial staff is obtained from the database, the numbers of each financial data are compared, and the financial data with the same number are divided into a data group. In this way, each data group of each financial staff is obtained, and the number of each financial data of each financial staff is analyzed according to the number of each data group of each financial staff and the number of each original voucher. The value of each financial data is entered incorrectly, each abnormal data is called, the total number of abnormal data of each financial staff is counted and used as the value of each financial staff, and the system automatically adjusts the value of each abnormal data to the correct value.

[0037] It should be noted that when the financial staff performs financial data entry, the financial data name entered by the financial staff is obtained and compared with the financial data name on each original voucher. If the financial data name entered by the financial staff is the same as the financial data name on a certain original voucher, the voucher number of the original voucher is used as the number of the financial data, and the financial data is numbered.

[0038] The total number of financial data entries of each financial staff is obtained, and the financial data entry accuracy coefficient of each financial staff is determined according to the total number of financial data entries, the format error value and the numerical error value of each financial staff.

[0039] It should be noted that when a financial staff enters a financial data, the total number of financial data entries of the financial staff is increased by 1, and the initial value of the total number of financial data entries is 0.

[0040] It should also be noted that, In the formula, A a represents the total number of financial data entries of the a-th financial staff, A a ' represents the format error value of the a-th financial staff, A a " represents the data error value of the a-th financial staff, α a represents the financial data entry accuracy coefficient of the a-th financial staff, a represents the number of each financial staff, and a is a positive integer.

[0041] In the above, the analysis of whether the numerical value of each financial data of each financial staff is entered incorrectly is as follows: the number of each data group of each financial staff and the voucher number of each original voucher are obtained, and the number of each data group of each financial staff is compared with the voucher number of each original voucher. If a certain original voucher number is the same as the number of a certain data group of a certain financial staff, the original voucher is taken as the original voucher of the data of the financial staff. In this way, the original vouchers of each data group of each financial staff are obtained.

[0042] The numerical value of each financial data in each data group of each financial staff is compared with the numerical value of each financial data corresponding to the original voucher of each data group. If the numerical value of a certain financial data in a certain data group of a certain financial staff is different from the numerical value of the corresponding financial data on the original voucher of the data group, it means that the numerical value of the financial data of the financial staff is entered incorrectly. In this way, whether the numerical value of each financial data of each financial staff is entered incorrectly is analyzed.

[0043] The data integrity analysis unit is used to integrate each financial data entered by each financial staff to obtain a financial statement, analyze whether each financial data in the financial statement is complete, obtain the operation number of each related data and the employee number of each financial staff that has not been entered in each incomplete financial data, and analyze the financial data entry completeness coefficient of each financial staff.

[0044] It should be noted that different financial data have different related data, for example, the related data of product sales include product sales volume, product sales price and product sales discount, and the related data of employee salary include employee bonus and employee social security, etc.

[0045] In one specific embodiment, the data integrity analysis unit, the specific process is as follows: after each financial staff completes the entry of each financial data, the financial data entered by each financial staff is integrated to obtain a financial statement, and whether each financial data is entered completely is analyzed. Each incomplete financial data is referred to as each incomplete data, each missing data in each incomplete financial data is referred to as each missing data, the employee number of each financial staff and the operation number of each missing data are obtained from the database, the operation number of each missing data is compared with the employee number of each financial staff, if the operation number of a missing data is the same as the employee number of a financial staff, the missing data is taken as the missing data of the financial staff, in this way, the missing data of each financial staff is obtained, and the total number of missing data of each financial staff is counted as the missing value of each financial staff, and the missing data is automatically completed by the system.

[0046] It should be noted that the employee number of each financial staff is set by the company when each financial staff handles the employment, and the employee number of each financial staff is unique.

[0047] It should be further noted that when each financial staff logs in the financial system, the employee number of each financial staff is obtained, and each original voucher allocated to each financial staff is obtained, the employee number of each financial staff is taken as the operation number of each financial data on each original voucher allocated to each financial staff, and the operation number of each financial data is numbered.

[0048] The total number of required financial data for entry of each financial staff is obtained from the database, and the financial data entry integrity coefficient of each financial staff is determined according to the total number of required financial data for entry of each financial staff and the missing value.

[0049] It should be noted that the total number of financial data on each original voucher allocated to each financial staff is obtained, and the total number of financial data on each original voucher allocated to each financial staff is added to obtain the total number of required financial data for entry of each financial staff.

[0050] It should be further noted that, In the formula, B a represents the missing value of the a-th financial staff, B a ' represents the total number of required financial data for entry of the a-th financial staff, β a represents the financial data entry integrity coefficient of the a-th financial staff.

[0051] In the above, the analysis of whether each financial data is recorded completely includes the following steps: numbering each financial data in the financial statement in the order from top to bottom, obtaining the financial data numbered 1, which is called the marker data, obtaining each associated data of the marker data from the database, comparing each associated data of the marker data with other financial data in the financial statement, if each associated data of the marker data is in other financial data in the financial statement, it means that the marker data is recorded completely, if one associated data of the marker data is not in other financial data in the financial statement, it means that the marker data is not recorded completely, the associated data of the marker data is not recorded, then the marker data and each associated data of the marker data in the financial statement are removed from the financial statement to obtain a new financial statement, and each financial data is numbered again, and whether the financial data numbered 1 is recorded completely is determined according to the above method, and the financial statement is updated until there is no financial data in the financial statement.

[0052] The performance evaluation setting module is used to analyze the work quality of each financial staff, and each financial staff is divided into different categories, and each financial staff is arranged for training according to the division result, and the training result is integrated into the performance evaluation, and the performance evaluation of each financial staff is set.

[0053] In a specific embodiment, the performance evaluation setting module has the following specific process: obtaining the financial data entry accuracy coefficient, the financial data entry completeness coefficient, the total number of financial data entries and the entry time length of each financial staff, analyzing the work quality of each financial staff, regarding each financial staff with poor work quality as an unqualified employee, regarding each financial staff with general work quality as a qualified employee, regarding each financial staff with good work quality as an outstanding employee, calculating the proportion of unqualified employees, the proportion of qualified employees and the proportion of outstanding employees, comparing the proportion of unqualified employees with a preset proportion threshold, if the proportion of unqualified employees is higher than the preset proportion threshold, training each financial staff, and integrating the training result into the performance evaluation, if the proportion of unqualified employees is lower than the preset proportion threshold, setting different performance evaluations for each financial staff.

[0054] It should be noted that the total number of financial staff is obtained from the database, and the total number of unqualified employees, the total number of qualified employees and the total number of outstanding employees are counted, the total number of unqualified employees is divided by the total number of financial staff to obtain the proportion of unqualified employees, the total number of qualified employees is divided by the total number of financial staff to obtain the proportion of qualified employees, and the total number of outstanding employees is divided by the total number of financial staff to obtain the proportion of outstanding employees.

[0055] It should be noted that the preset proportion threshold is a critical value for evaluating whether the number of unqualified employees is too large, and is set by relevant staff. When the proportion of unqualified employees is higher than the preset proportion threshold, it means that the number of unqualified employees is too large. When the proportion of unqualified employees is lower than the preset proportion threshold, it means that the number of unqualified employees is small.

[0056] In the above, the work quality of each financial staff is analyzed as follows: the work quality coefficient of each financial staff is determined according to the financial data entry accuracy coefficient, the financial data entry integrity coefficient, the total number of financial data entry and the entry time length of each financial staff, and the work quality coefficient of each financial staff is compared with the first work quality coefficient threshold and the second work quality coefficient threshold. If the work quality coefficient of a certain financial staff is greater than the first work quality coefficient threshold, it means that the work quality of the financial staff is good. If the work quality coefficient of a certain financial staff is not less than the first work quality coefficient threshold and not greater than the second work quality coefficient threshold, it means that the work quality of the financial staff is general. If the work quality coefficient of a certain employee is less than the second work quality coefficient threshold, it means that the work quality of the employee is poor. In this way, the work quality of each financial staff is analyzed.

[0057] It should be noted that the first work quality coefficient threshold and the second work quality coefficient threshold are boundary values for evaluating the work quality of each financial staff, and are set by relevant staff.

[0058] It should be noted that the financial data entry accuracy coefficient, the financial data entry integrity coefficient, the total number of financial data entry and the entry time length of each financial staff are normalized, then, In the formula, α a represents the financial data entry accuracy coefficient of the a-th financial staff, β a represents the financial data entry integrity coefficient of the a-th financial staff, C a represents the total number of financial data entry of the a-th financial staff, D a represents the entry time length of the a-th financial staff, and φ a represents the work quality coefficient of the a-th financial staff.

[0059] In the above, the training result is integrated into the performance evaluation as follows: when each financial staff is trained, the financial data entry accuracy coefficient, the financial data entry integrity coefficient, the total number of financial data entry and the entry time length of each financial staff at each training are recorded, and the training effect coefficient of each financial staff is determined. The training result coefficient of each financial staff is integrated into the original performance calculation formula to obtain a new performance calculation formula, and the performance of each financial staff is calculated according to the new performance formula.

[0060] It should be noted that the financial data entry accuracy coefficient, the financial data entry integrity coefficient, the financial data entry total number and the entry duration of each financial staff at each training are normalized, then, In the formula represents the financial data entry accuracy coefficient of the cth unqualified employee in the d+1th training, represents the financial data entry accuracy coefficient of the cth unqualified employee in the dth training, represents the financial data entry integrity coefficient of the cth unqualified employee in the d+1th training, represents the financial data entry integrity coefficient of the cth unqualified employee in the dth training, represents the financial data entry total number of the cth unqualified employee in the d+1th training, represents the financial data entry total number of the cth unqualified employee in the dth training, represents the entry duration of the cth unqualified employee in the d+1th training, represents the entry duration of the cth unqualified employee in the dth training, c represents the training effect coefficient of the cth unqualified employee, e represents the natural constant, c represents the number of each unqualified employee, c=1, 2, 3,..., g, g represents the total number of unqualified employees, d represents the number of each training, d=1, 2, 3,..., f, f represents the total number of training, c, g, d and f are all positive integers and f is greater than 3.

[0061] It should also be noted that, In the formula represents the original performance, ε c represents the performance of the cth unqualified employee, wherein the original performance is obtained by the original performance calculation formula.

[0062] In the above, different performance evaluations are set for each financial staff, and the specific process is as follows: training each unqualified employee and integrating the training results into the performance evaluation.

[0063] For each qualified employee, the work quality coefficient of each qualified employee at this performance evaluation and the work quality coefficient at the last performance evaluation are obtained, and the difference is calculated. The difference between the work quality coefficient of each qualified employee at this performance evaluation and the work quality coefficient at the last performance evaluation is integrated into the original performance calculation formula to obtain the performance calculation formula of the qualified employee. The performance of each qualified employee is calculated according to the performance calculation formula of the qualified employee.

[0064] It should be noted that, In the formula ε h represents the performance of the hth qualified employee, φh,2 φ represents the work quality coefficient of the hth qualified employee at this performance appraisal, h represents the number of each qualified employee, and h is a positive integer. h,1 φ represents the work quality coefficient of the hth qualified employee at the last performance appraisal, h represents the number of each qualified employee, and h is a positive integer.

[0065] For each excellent employee, the number of times of finding financial system abnormalities and the number of times of finding historical data errors in the financial system when the excellent employee performs financial data entry are recorded, and the number of times of finding financial abnormalities and the number of times of finding historical data errors in the financial system when the excellent employee performs financial data entry are integrated into the original performance calculation formula to obtain an excellent employee performance calculation formula, and the performance of each excellent employee is calculated according to the excellent employee performance calculation formula.

[0066] It should be noted that, In the formula, D j E represents the number of times of finding financial system abnormalities by the jth excellent employee when performing financial data entry, j E represents the number of times of finding historical data errors in the financial system by the jth excellent employee when performing financial data entry, j φ represents the performance of the jth excellent employee, j represents the number of each excellent employee, and j is a positive integer.

[0067] The database is used to store the standard input format of each financial data, the associated data number and operation number, and the employee number of each financial staff.

[0068] Please refer to Figure 2 The present application provides a kind of financial data automatic processing method, comprising the following steps:

[0069] Step one, financial data acquisition: collect each original voucher image, and obtain each financial data on each original voucher, while setting the voucher number for each original voucher.

[0070] Step two, data accuracy analysis: when each financial staff performs financial data entry, detect whether the input format of each financial data is correct, while obtaining each data group of each financial staff according to each financial data number of each financial staff, obtaining the number of each data group and the number of each original voucher, analyzing whether the numerical value of each financial data of each financial staff is input error, while analyzing the financial data input accuracy coefficient of each financial staff.

[0071] Step three, data integrity analysis: integrate each financial data input by each financial staff to obtain a financial statement, analyze whether each financial data is complete in the financial statement, and obtain the operation number of each associated data and the employee number of each financial staff that has not been input in each incomplete financial data, and analyze the financial data input integrity coefficient of each financial staff.

[0072] Step four, performance evaluation setting: analyze the work quality of each financial staff, and divide each financial staff, arrange each financial staff for training according to the division result, and integrate the training result into the performance evaluation, and set the performance evaluation for each financial staff.

[0073] The embodiment of the application analyzes whether the input format of each financial data of each financial staff is correct, whether the input value is correct and whether the input is complete when each financial staff enters the financial data, automatically modifies and supplements the error data and the missing data, analyzes the work quality of each financial staff, and sets different performance evaluations for each financial staff according to the analysis result, so that the financial data entered by whom the error is quickly located, and the accuracy of the verification and the effectiveness of the performance evaluation are ensured.

[0074] The above content is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the application or exceed the scope defined in the specification, which shall belong to the protection scope of the application.

Claims

1. A financial data automatic processing system, characterized in that: Includes the following modules: The financial data acquisition module is used to collect images of original vouchers, obtain the financial data on each original voucher, and set a voucher number for each original voucher; The financial data analysis module includes the data accuracy analysis unit and the data integrity analysis unit: The data accuracy analysis unit is used to detect whether the input format of each financial data is correct when each financial personnel enters financial data, and at the same time, according to the financial data number of each financial personnel, obtain each data group of each financial personnel, obtain the number of each data group and the number of each original document, analyze whether the value of each financial data of each financial personnel is entered incorrectly, and analyze the accuracy coefficient of the financial data entry of each financial personnel; The data integrity analysis unit is used to integrate the financial data entered by each financial personnel to obtain a financial table, analyze whether the financial data is complete in the financial report, obtain the operation number of each related data that is not entered in the incomplete financial data and the employee number of each financial personnel, and analyze the financial data entry completeness coefficient of each financial personnel; The performance appraisal setting module is used to analyze the work quality of each financial staff, divide each financial staff into categories, arrange training for each financial staff according to the classification results, integrate the training results into the performance appraisal, and set performance appraisal for each financial staff; The database is used to store the standard input format of each financial data, each associated data number and operation number, and the employee number of each financial personnel.

2. The automatic financial data processing system according to claim 1, characterized in that: The data accuracy analysis unit has the following specific process: When each financial staff member enters financial data, the input format of each financial staff member's financial data is obtained, and the input format of each financial staff member's financial data is compared with the standard input format of each financial data. Each financial data whose input format is different from the standard input format is called each format error data. The total number of format error data of each financial staff member is counted and used as the format error value of each financial staff member. At the same time, the system automatically adjusts the input format of each format error data to the standard input format; When the input format of each financial data is correct, the number of each financial data of each financial staff member is obtained from the database, the numbers of each financial data are compared, and the financial data with the same number are divided into a data group. In this way, each data group of each financial staff member is obtained. According to the number of each data group of each financial staff member and the number of each original document, it is analyzed whether the value of each financial data of each financial staff member is entered incorrectly. Each financial data with an incorrect value is called each abnormal data. The total number of abnormal data of each financial staff member is counted and used as the numerical error value of each financial staff member. At the same time, the system automatically adjusts the value of each abnormal data to the correct value. Obtain the total number of financial data entered by each financial staff member, and determine the accuracy coefficient of the financial data entry of each financial staff member based on the total number of financial data entered, format error values, and numerical error values.

3. The automatic financial data processing system according to claim 2, characterized in that: The specific process of analyzing whether the numerical values ​​of each financial data of each financial staff member are entered incorrectly is as follows: Obtain the number of each data group of each financial staff member and the voucher number of each original voucher, compare the number of each data group of each financial staff member with the voucher number of each original voucher, if the number of a certain original voucher is the same as the number of a data group of a certain financial staff member, then use the original voucher as the original voucher of the data of the financial staff member, and obtain the original voucher of each data group of each financial staff member in this way; Compare the values ​​of each financial data in each data group of each financial staff member with the values ​​of the corresponding financial data on the original vouchers of each data group. If the value of a financial data in a data group of a certain financial staff member is different from the value of the corresponding financial data on the original voucher of the data group, it means that the value of the financial data of the financial staff member is entered incorrectly. This method is used to analyze whether the values ​​of the financial data of each financial staff member are entered incorrectly.

4. The automatic financial data processing system according to claim 1, characterized in that: The data integrity analysis unit has the following specific process: After each financial staff member completes the entry of each financial data, the financial data entered by each financial staff member are integrated to obtain a financial table, and the financial data are analyzed to see whether they are entered completely. The incomplete financial data are referred to as incomplete data, and the related data that are not entered in the incomplete financial data are referred to as missing data. The employee number of each financial staff member and the operation number of each missing data are obtained from the database, and the operation number of each missing data is compared with the employee number of each financial staff member. If the operation number of a missing data is the same as the employee number of a financial staff member, the missing data is regarded as the missing data of the financial staff member. In this way, the missing data of each financial staff member is obtained, and the total number of missing data of each financial staff member is counted as the missing value of each financial staff member. At the same time, the system automatically fills in the missing data. The total number of financial data required to be entered by each financial staff member is obtained from the database, and the financial data entry completeness coefficient of each financial staff member is determined based on the total number of financial data required to be entered by each financial staff member and the missing values.

5. The automatic financial data processing system according to claim 4, characterized in that: The specific process of analyzing whether the financial data is entered completely is as follows: The financial data in the financial table are numbered in order from top to bottom, and the financial data numbered 1 is obtained, which is called the marked data. The associated data of the marked data are obtained from the database, and the associated data of the marked data are compared with the other financial data in the financial table. If the associated data of the marked data are all in the other financial data in the financial table, it means that the marked data is completely entered. If a certain associated data of the marked data is not in the other financial data in the financial table, it means that the marked data is not completely entered, and the associated data of the marked data is not entered. Then, the marked data and the associated data in the marked data in the financial table are removed from the financial table to obtain a new financial table, and the financial data are renumbered. At the same time, the above method is used to determine whether the financial data numbered 1 at this time is completely entered, and the financial table is updated until there is no financial data in the financial table.

6. The automatic financial data processing system according to claim 1, characterized in that: The specific process of the performance appraisal setting module is as follows: Obtain the financial data entry accuracy coefficient, financial data entry completeness coefficient, total number of financial data entries and entry time of each financial staff member, and analyze the work quality of each financial staff member. Financial staff members with poor work quality are called unqualified employees, financial staff members with average work quality are called qualified employees, and financial staff members with good work quality are called excellent employees. Calculate the proportion of unqualified employees, the proportion of qualified employees and the proportion of excellent employees, and compare the proportion of unqualified employees with the preset proportion threshold. If the proportion of unqualified employees is higher than the preset proportion threshold, train each financial staff member and incorporate the training results into the performance appraisal. If the proportion of unqualified employees is lower than the preset proportion threshold, set a different performance appraisal for each financial staff member.

7. The automatic financial data processing system according to claim 6, characterized in that: The specific process of analyzing the work quality of each financial staff member is as follows: The work quality coefficient of each financial staff member is determined based on the financial data entry accuracy coefficient, financial data entry completeness coefficient, total number of financial data entries and entry time of each financial staff member, and the work quality coefficient of each financial work is compared with the first work quality coefficient threshold and the second work quality coefficient threshold. If the work quality coefficient of a financial staff member is greater than the first work quality coefficient threshold, it means that the work quality of the financial staff member is good. If the work quality coefficient of a financial staff member is not less than the first work quality coefficient threshold and not greater than the second work quality coefficient threshold, it means that the work quality of the financial staff member is average. If the work quality coefficient of an employee is less than the second work quality coefficient threshold, it means that the work quality of the employee is poor. This method is used to analyze the work quality of each financial staff member.

8. The automatic financial data processing system according to claim 6, characterized in that: The specific process of integrating training results into performance appraisal is as follows: During the training of each financial staff member, the accuracy coefficient of financial data entry, the completeness coefficient of financial data entry, the total number of financial data entries and the entry time of each financial staff member during each training session are recorded, and the training effect coefficient of each financial staff member is determined. The training result coefficient of each financial staff member is integrated into the original performance calculation formula to obtain a new performance calculation formula, and the performance of each financial staff member is calculated according to the new performance formula.

9. The automatic financial data processing system according to claim 8, characterized in that: Different performance appraisals are set up for each financial staff member. The specific process is as follows: Provide training to all unqualified employees and incorporate the training results into performance appraisals; For each qualified employee, obtain the work quality coefficient of each qualified employee at the time of the current performance appraisal and the work quality coefficient of the previous performance appraisal, and calculate the difference between them. Incorporate the difference between the work quality coefficient of each qualified employee at the time of the current performance appraisal and the work quality coefficient of the previous performance appraisal into the original performance calculation formula to obtain the performance calculation formula for qualified employees. Calculate the performance of each qualified employee based on the performance calculation formula for qualified employees. For each outstanding employee, record the number of times each outstanding employee discovered anomalies in the financial system when entering financial data and the number of times each outstanding employee discovered errors in historical data in the financial system. Incorporate the number of times each outstanding employee discovered financial anomalies and the number of times each outstanding employee discovered errors in historical data in the financial system when entering financial data into the original performance calculation formula to obtain the performance calculation formula for outstanding employees. Calculate the performance of each outstanding employee based on the calculation formula for outstanding employees.

10. A method for automatically processing financial data based on the automatic financial data processing system according to any one of claims 1 to 9, characterized in that: include: Step 1: Financial data collection: Collect images of each original voucher, obtain the financial data on each original voucher, and set a voucher number for each original voucher; Step 2: Data Accuracy Analysis: When each financial staff member enters financial data, the input format of each financial data is checked to see if it is correct. At the same time, based on the financial data number of each financial staff member, each data group of each financial staff member is obtained, and the number of each data group and the number of each original document are obtained. The numerical value of each financial staff member's financial data is analyzed to see if it is entered incorrectly, and the accuracy coefficient of each financial staff member's financial data entry is analyzed. Step 3: Data integrity analysis: Integrate the financial data entered by each financial staff member to generate a financial table. Analyze the completeness of each financial data in the financial report. Obtain the operation number of each related data that was not entered in the incomplete financial data and the employee number of each financial staff member, and analyze the financial data entry completeness coefficient of each financial staff member. Step 4. Performance appraisal setting: Analyze the work quality of each financial personnel and divide them into categories. Arrange training for each financial personnel based on the division results, incorporate the training results into the performance appraisal, and set up performance appraisal for each financial personnel.

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