CN111415136A - Task processing method, system, terminal and storage medium - Google Patents
Task processing method, system, terminal and storage medium Download PDFInfo
- Publication number
- CN111415136A CN111415136A CN202010200669.0A CN202010200669A CN111415136A CN 111415136 A CN111415136 A CN 111415136A CN 202010200669 A CN202010200669 A CN 202010200669A CN 111415136 A CN111415136 A CN 111415136A
- Authority
- CN
- China
- Prior art keywords
- data
- salary
- task
- task processing
- preposed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 19
- 238000004364 calculation method Methods 0.000 claims abstract description 55
- 238000000034 method Methods 0.000 claims description 27
- 230000015654 memory Effects 0.000 claims description 16
- 238000009825 accumulation Methods 0.000 abstract description 2
- 230000003993 interaction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/123—Tax preparation or submission
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Technology Law (AREA)
- Tourism & Hospitality (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention relates to a task processing method, a system, a terminal and a storage medium, wherein the calculation sequence is recorded in each stroke, and the calculation is carried out by depending on the data of the previous stroke, so that annual tax, expense deduction standard and special additional deduction accumulation are realized, the accuracy and the sequence of salary calculation are improved, and the salary calculation can be traced and backtracked; meanwhile, the interaction between the user and the system can be greatly reduced, the accounting time of the generated salary data by the user is reduced, the working efficiency of the user is improved, the concurrency of the system is reduced, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a task processing method, a task processing system, a task processing terminal and a task processing storage medium.
Background
The 'notice of the' national tax administration about issuing < personal income tax deduction payment declaration management method (trial operation) > indicates that when paying the payers pay wages and payees to residents personally, the deduction tax payment is calculated according to an accumulated deduction method, and the deduction payment declaration is handled monthly. The specific calculation formula is that the tax amount is deducted in advance every month according to the explanation given by the national tax administration:
the tax amount to be deducted in advance is equal to (the accumulated deduction amount obtained by deducting the tax amount to be deducted in advance × deduction rate-quick calculation deduction value) -the accumulated exemption tax amount-the accumulated withheld tax amount to be deducted in advance;
wherein, the accumulated pre-deducted advance payment tax income is equal to accumulated income-accumulated tax free income-accumulated deduction expense-accumulated special deduction-accumulated special additional deduction-accumulated other deductions determined by law.
In the salary calculation process, the problems of data preparation error or other various reasons and need of recalculation are inevitably caused, and if a plurality of salaries need to be calculated in the same month, the calculation error of the accumulated pre-deducted paying tax due amount can be caused.
The chinese patent application No. cn03128616.x provides a salary issuing system used on a computer for determining the object and frequency of issuing salaries and calculating the amount of money issued. Firstly, the system provides a single payroll code input interface, and the user can flexibly set the issuing frequency of each payroll type according to the requirement and set different payroll conditions to determine different issuing objects and issuing amounts of the payroll types. Secondly, the system automatically calculates various types of salaries and salary amounts which different payees should issue in different periods according to various salary issuing conditions input and set by the user, but does not support the new tax changing method of the national tax administration.
Chinese patent application No. CN201811460476.8 provides a block chain-based employee salary management system, which includes: the system comprises a salary rule module, an information collection module and an execution module. Wherein, the payroll rule module refers to the company human resource department to compile payroll rules of each post of the company and store the payroll rules to the block; the information collection module is used for providing calculated information data for salary of corresponding staff by recording various items influencing salary level; the execution module completes the calculation and payment of the salary of the corresponding staff by means of a series of intelligent contracts stored on the block chain, but can not trace back and backtrack the distribution condition of the salary.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide a task processing method, a task processing system, a terminal, and a storage medium, so as to solve the problem of data errors caused by multiple times of accumulated computations.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in a first aspect, an embodiment of the present invention provides a task processing method, where the method includes a tracing process, where the tracing process includes the following steps:
when a salary task request is received, obtaining current salary data corresponding to the salary task according to the salary task request;
acquiring prepositive data in salary data according to a preset data dependency relationship, wherein the data dependency relationship is a previous salary data sequence, and the prepositive data is previous salary data;
calculating actual salary data according to the salary data and the preposed data;
and recording and updating the dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generating the actual salary data.
Further, the method further comprises a backtracking process, the backtracking process comprising the steps of:
acquiring data needing to cancel calculation, wherein the data needing to cancel calculation is the actual salary data;
and checking whether the data needing to be cancelled are preposed data or not according to the updated data dependency relationship, if so, returning the preposed data, updating the calculation sequence to enable the preposed data to be the last calculated data and the data needing to be cancelled to be invalidated, otherwise, judging whether the data needing to be cancelled are the last calculated data or not.
Further, payroll data includes personnel data, payroll data, and attendance data.
In a second aspect, an embodiment of the present invention further provides a task processing apparatus, including:
the task creating module is used for acquiring the current salary data corresponding to the salary task according to the salary task request when the salary task request is received;
the system comprises a preposed data module, a data processing module and a data processing module, wherein the preposed data module is used for acquiring preposed data in salary data according to a preset data dependency relationship, the data dependency relationship is a previous salary data sequence, and the preposed data is previous salary data;
the salary calculation module is used for calculating actual salary data according to the salary data and the preposed data; and
and the data processing module is used for recording and updating the dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generating the actual salary data.
Further, the task creating module is further configured to obtain data that needs to be cancelled, where the data that needs to be cancelled is the actual salary data;
the data processing module is also used for checking whether the data needing to be cancelled is the preposed data or not according to the updated data dependency relationship, if so, returning the preposed data, updating the calculation sequence to enable the preposed data to be the last calculated data and the data needing to be cancelled to be invalidated, otherwise, judging the data needing to be cancelled to be invalid.
In a third aspect, an embodiment of the present invention further provides a task processing device, where the task processing device includes a memory, a processor, and a task processing program stored on the memory and executable by the processor, where the task processing program, when executed by the processor, implements the steps of the task processing method as described above.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where a task processing program is stored on the computer-readable storage medium, where the task processing program, when executed by a processor, implements the steps of the task processing method as described above.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the calculation sequence is recorded in each stroke, and calculation is carried out by depending on the previous stroke of data, so that annual tax, expense deduction standard and special additional deduction accumulation are realized, the accuracy and sequence of salary calculation are improved, and the salary calculation can be traced and backtracked; meanwhile, the interaction between the user and the system can be greatly reduced, the accounting time of the generated salary data by the user is reduced, the working efficiency of the user is improved, the concurrency of the system is reduced, and the user experience is improved.
Drawings
FIG. 1 is a flow chart illustrating a data recording sequence according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a tracing process in the embodiment of the present invention;
FIG. 3 is a flowchart illustrating a backtracking process according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of a task processing device according to an embodiment of the present invention;
fig. 5 is a schematic device structure diagram of a hardware operating environment in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
The technical scheme of the embodiment can be suitable for the condition of performing the task processing method on the premise of traceability. The method can be executed by a task processing method system provided by the embodiment of the invention, and the device can be implemented in a software and/or hardware manner and configured to be applied in a terminal, such as a computer, a mobile phone or a tablet computer.
The traceable and traceable salary calculation method can solve the problem that when multiple salaries need to be calculated, calculation errors of accumulated pre-deducted pre-paid taxpaying income amount are caused, a calculation sequence is recorded in each salary, calculation is carried out by means of data of the previous salary, as shown in fig. 1, the salary calculation tracing and backtracking are realized by the calculation recording sequence of each time, and the specific dependency relationship data structure can be as follows:
ID：varchar(36)
pre-dependent data ID: varchar (36)
This calculation of data ID: varchar (36)
Whether the current is the latest: varchar (1)
Sequence number: int (0)
The implementation logic of the dependency relationship is to form chain storage for salary calculation data, so that during each calculation, the latest corresponding salary data is taken out from the dependency relationship, the calculation is provided for the next calculation, and the sequential relationship is maintained after the calculation.
The task processing method provided by the embodiment of the invention comprises a tracing process, wherein the tracing process comprises the following steps:
when a salary task request is received, obtaining current salary data corresponding to the salary task according to the salary task request;
acquiring prepositive data in salary data according to a preset data dependency relationship, wherein the data dependency relationship is a previous salary data sequence, and the prepositive data is previous salary data;
calculating actual salary data according to the salary data and the preposed data;
and recording and updating the dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generating the actual salary data.
In this embodiment, as shown in fig. 2, the specific process of the trace back calculation is as follows:
1. preparing salary data: preparing salary personnel, salary data and attendance data including but not limited to wages, subsidies and the like, wherein the data sources are personnel data, wage data, attendance data and the like;
2. preparation of preposed data: according to the sequence recorded before, the last data is obtained, the last data is the last salary sequence data, and the problems are solved: querying the data dependency relationship, namely querying the latest calculation data stored in the dependency relationship table;
3. calculating salary data: calculating salary data according to the salary data and the prepositive data, wherein the salary data comes from a salary data preparation stage, and the prepositive data comes from a dependency relationship preparation stage;
4. recording the sequence: recording the dependency relationship calculated at this time according to the previous dependency data, and ensuring that the data can be accurately checked;
5. salary data generation: and generating corresponding result data for salary personnel to inquire according to the data generated in the calculation stage obtained by the processing.
Example two
On the basis of the first embodiment, the method further includes a backtracking process, and the backtracking process includes the following steps:
acquiring data needing to cancel calculation, wherein the data needing to cancel calculation is the actual salary data;
and checking whether the data needing to be cancelled are preposed data or not according to the updated data dependency relationship, if so, returning the preposed data, updating the calculation sequence to enable the preposed data to be the last calculated data and the data needing to be cancelled to be invalidated, otherwise, judging whether the data needing to be cancelled are the last calculated data or not.
In this embodiment, as shown in fig. 3, the cancellation of the calculation process, i.e. the backtracking process, is as follows:
1. salary result data, data which needs to cancel calculation;
2. checking the calculation sequence, checking whether the currently calculated data is the last data, and only the last data can be backed;
3. backing a calculation sequence, and updating the calculation sequence to enable the last calculation to be the last calculation, even if the last calculation data is used as the standard of the next calculation;
4. and returning the salary data, invalidating the calculation data of the time and backtracking the salary data to the previous time.
In the above two embodiments, the payroll data includes personnel data, payroll data, and attendance data.
EXAMPLE III
As shown in fig. 4, an embodiment of the present invention further provides a task processing apparatus, including:
the task creating module 11 is configured to, when a salary task request is received, obtain current salary data corresponding to the salary task according to the salary task request;
the prepositive data module 12 is configured to obtain prepositive data in salary data according to a preset data dependency relationship, where the data dependency relationship is a previous salary data sequence, and the prepositive data is previous salary data;
the salary calculation module 13 is used for calculating actual salary data according to the salary data and the preposed data; and
and the data processing module 14 is configured to record and update a dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generate the actual salary data.
In the above embodiment, further, the task creating module 11 is further configured to obtain data that needs to be cancelled, where the data that needs to be cancelled is the actual salary data;
the data processing module 14 is further configured to check whether the data that needs to be cancelled is pre-positioned data according to the updated data dependency relationship, if so, rollback the pre-positioned data, and update the calculation sequence, so that the pre-positioned data is the last calculated data, and the data that needs to be cancelled is invalidated, otherwise, the pre-positioned data is not cancelled.
Example four
As shown in fig. 5, an embodiment of the present invention further provides a task processing device, where the task processing device includes a memory 25, a processor 21, and a task processing program stored on the memory 25 and executable by the processor 21, where the task processing program, when executed by the processor 21, implements the steps of the task processing method as described above.
More specifically, the task processing device may include: a processor 21, a communication bus 22, a user interface 23, a network interface 24, and a memory 25. Wherein, the communication bus 22 is used for realizing the connection communication between the components; the user interface 23 may comprise a display screen, an input unit such as a keyboard, and the optional user interface 23 may also comprise a standard wired interface, a wireless interface. Network interface 24 may optionally include standard wired, wireless interfaces; the memory 25 may be a high speed random access memory or a stable memory such as a disk memory, and the memory 25 may optionally be a storage device separate from the processor 21. Those skilled in the art will appreciate that the task processing device configuration shown in fig. 5 does not constitute a limitation of the task processing device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components. The memory 25 of fig. 5, which is a kind of computer storage medium, may include therein an operating system, a network communication module, and a task processing program. In fig. 5, the network communication module may be used to connect to a server for data communication with the server; and the processor 21 may be configured to call a task processing program stored in the memory 25 and perform a task processing method provided by an embodiment of the present invention.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, where a task processing program is stored on the computer-readable storage medium, and when the task processing program is executed by a processor, the steps of the task processing method are implemented as described above.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the task processing method provided by any embodiment of the present invention.
Based on the understanding that the technical solutions of the present invention can be embodied in the form of software products, such as floppy disks, Read-Only memories (ROMs), Random Access Memories (RAMs), flash memories (F L ASHs), hard disks or optical disks of a computer, etc., and include instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (7)
1. A method of task processing, characterized in that it comprises a trace back procedure comprising the steps of:
when a salary task request is received, obtaining current salary data corresponding to the salary task according to the salary task request;
acquiring prepositive data in salary data according to a preset data dependency relationship, wherein the data dependency relationship is a previous salary data sequence, and the prepositive data is previous salary data;
calculating actual salary data according to the salary data and the preposed data;
and recording and updating the dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generating the actual salary data.
2. A task processing method according to claim 1, wherein said method further comprises a backtracking procedure, said backtracking procedure comprising the steps of:
acquiring data needing to cancel calculation, wherein the data needing to cancel calculation is the actual salary data;
and checking whether the data needing to be cancelled are preposed data or not according to the updated data dependency relationship, if so, returning the preposed data, updating the calculation sequence to enable the preposed data to be the last calculated data and the data needing to be cancelled to be invalidated, otherwise, judging whether the data needing to be cancelled are the last calculated data or not.
3. A task processing method according to claim 1 or 2, wherein: salary data includes personnel data, salary data and attendance data.
4. A task processing apparatus, comprising:
the task creating module is used for acquiring the current salary data corresponding to the salary task according to the salary task request when the salary task request is received;
the system comprises a preposed data module, a data processing module and a data processing module, wherein the preposed data module is used for acquiring preposed data in salary data according to a preset data dependency relationship, the data dependency relationship is a previous salary data sequence, and the preposed data is previous salary data;
the salary calculation module is used for calculating actual salary data according to the salary data and the preposed data; and
and the data processing module is used for recording and updating the dependency relationship when the actual salary data is calculated according to the preset data dependency relationship, and generating the actual salary data.
5. A task processing device according to claim 4, wherein: the task creating module is further used for acquiring data needing to cancel calculation, and the data needing to cancel calculation is the actual salary data;
the data processing module is also used for checking whether the data needing to be cancelled is the preposed data or not according to the updated data dependency relationship, if so, returning the preposed data, updating the calculation sequence to enable the preposed data to be the last calculated data and the data needing to be cancelled to be invalidated, otherwise, judging the data needing to be cancelled to be invalid.
6. A task processing device characterized in that the task processing device comprises a memory, a processor, and a task processing program stored on the memory and executable by the processor, wherein the task processing program, when executed by the processor, implements the steps of the task processing method according to any one of claims 1 to 5.
7. A computer-readable storage medium, on which a task processing program is stored, wherein the task processing program, when executed by a processor, implements the steps of the task processing method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010200669.0A CN111415136A (en) | 2020-03-20 | 2020-03-20 | Task processing method, system, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010200669.0A CN111415136A (en) | 2020-03-20 | 2020-03-20 | Task processing method, system, terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111415136A true CN111415136A (en) | 2020-07-14 |
Family
ID=71493153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010200669.0A Pending CN111415136A (en) | 2020-03-20 | 2020-03-20 | Task processing method, system, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111415136A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113763142A (en) * | 2021-07-14 | 2021-12-07 | 望海康信(北京)科技股份公司 | Payroll data calculation method, system, corresponding computer device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007038666A2 (en) * | 2005-09-27 | 2007-04-05 | Siebel Systems, Inc. | Retroactive tracking and reprocessing of compensation calculations |
| CN107908480A (en) * | 2017-10-13 | 2018-04-13 | 平安科技（深圳）有限公司 | Wages computational methods, application server and computer-readable recording medium |
| CN109299913A (en) * | 2018-08-27 | 2019-02-01 | 天津字节跳动科技有限公司 | Employee's wages scheme generation method and device |
| CN109377157A (en) * | 2018-09-14 | 2019-02-22 | 恒生电子股份有限公司 | Compensation data processing method and processing device, storage medium, electronic equipment |
| CN109472544A (en) * | 2018-09-27 | 2019-03-15 | 平安科技（深圳）有限公司 | Compensation data processing method, device, computer equipment and storage medium |
| CN110427254A (en) * | 2019-07-05 | 2019-11-08 | 深圳壹账通智能科技有限公司 | Task processing method, device, equipment and computer readable storage medium |
| CN110717813A (en) * | 2019-09-02 | 2020-01-21 | 北京东软望海科技有限公司 | Individual tax multiple automatic tax counting system and method |
-
2020
- 2020-03-20 CN CN202010200669.0A patent/CN111415136A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007038666A2 (en) * | 2005-09-27 | 2007-04-05 | Siebel Systems, Inc. | Retroactive tracking and reprocessing of compensation calculations |
| CN107908480A (en) * | 2017-10-13 | 2018-04-13 | 平安科技（深圳）有限公司 | Wages computational methods, application server and computer-readable recording medium |
| CN109299913A (en) * | 2018-08-27 | 2019-02-01 | 天津字节跳动科技有限公司 | Employee's wages scheme generation method and device |
| CN109377157A (en) * | 2018-09-14 | 2019-02-22 | 恒生电子股份有限公司 | Compensation data processing method and processing device, storage medium, electronic equipment |
| CN109472544A (en) * | 2018-09-27 | 2019-03-15 | 平安科技（深圳）有限公司 | Compensation data processing method, device, computer equipment and storage medium |
| CN110427254A (en) * | 2019-07-05 | 2019-11-08 | 深圳壹账通智能科技有限公司 | Task processing method, device, equipment and computer readable storage medium |
| CN110717813A (en) * | 2019-09-02 | 2020-01-21 | 北京东软望海科技有限公司 | Individual tax multiple automatic tax counting system and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113763142A (en) * | 2021-07-14 | 2021-12-07 | 望海康信(北京)科技股份公司 | Payroll data calculation method, system, corresponding computer device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7921330B2 (en) | Data migration manager | |
| US20210182959A1 (en) | Systems and methods for cross-platform batch data processing | |
| US10635410B2 (en) | System to coordinate source code module changes | |
| CN110209650A (en) | The regular moving method of data, device, computer equipment and storage medium | |
| CN107273451A (en) | Balance data update method and system | |
| CN112052285A (en) | Accounting management method, system and medium for service data | |
| US11327954B2 (en) | Multitenant architecture for prior period adjustment processing | |
| CN111415136A (en) | Task processing method, system, terminal and storage medium | |
| CN107316245A (en) | Expense adjusts method and system | |
| CN114564500A (en) | Method and system for implementing structured data storage and query in block chain system | |
| CN109947797B (en) | Data inspection device and method | |
| CN111353763B (en) | Method, device, server and storage medium for processing data | |
| US7716092B2 (en) | Use of separate rib ledgers in a computerized enterprise resource planning system | |
| CN112825068B (en) | Data blood margin generation method and device | |
| CN112579632A (en) | Data verification method, device, equipment and medium | |
| US10121138B2 (en) | Correctable pre-payment for database services | |
| US20170270111A1 (en) | System migration using selective envelope management | |
| CN108932612B (en) | Data processing method and device applied to enterprise annuity and electronic equipment | |
| CN114969071A (en) | Data updating method and device | |
| CN113239064A (en) | Database updating method and device, electronic equipment and storage medium | |
| CN110888917A (en) | Batch running task execution method, device, server and storage medium | |
| EP3220344A1 (en) | Data processing system migration using selective management of envelopes capturing images of documents | |
| CN108897849B (en) | Method and terminal for improving application performance of database | |
| CN113535839B (en) | Group annual fee payment data comparison method, device, terminal equipment and storage medium | |
| US10402390B1 (en) | Model validation system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200714 |