CN110689419A - Method, device and equipment for checking multi-party data - Google Patents
Method, device and equipment for checking multi-party data Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a readable storage medium for checking multi-party data, wherein the scheme comprises the following steps: acquiring original data of account checking parties; processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats; according to a preset check rule, comparing the data of both reconciliation parties with unified formats to obtain a comparison result; and displaying the comparison result, and pushing the comparison result to both account checking parties. The scheme can automatically arrange the original data into data with a uniform format by using the data processing plug-in the process of checking the multi-party data, compare the data of the two parties with the uniform format according to the corresponding checking rule to obtain a comparison result, and finally automatically push the comparison result to the two reconciliation parties. The data checking process has the characteristics of standardization and modularization, does not need human participation, and improves the efficiency and quality of data checking.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for checking multi-party data.
Background
In an enterprise informatization system, verification of multi-party data is often required.
The traditional ways for acquiring the data of both account checking parties have various forms, some ways are in butt joint through interfaces, some ways are transmitted through excel forms, the data acquisition modes are difficult to unify, and great difficulty is brought to data checking. Assuming that a party needs to check accounts with a plurality of clients, raw data of each client needs to be collected before each check account, progress of collecting data of each client needs to be recorded, and a large amount of labor is consumed. In addition, the data comparison link adopts a manual one-by-one data comparison mode, the workload is large, errors and omissions are easy to occur, the check results need to be manually sorted, and finally, account checking results need to be notified to clients one by one.
Therefore, each link of the traditional data checking scheme needs a large amount of human resources, and the method is time-consuming, labor-consuming and easy to make mistakes.
Disclosure of Invention
The application aims to provide a method, a device, equipment and a readable storage medium for checking multi-party data, which are used for solving the problems that each link of the traditional data checking scheme needs a large amount of human resource consumption and the checking efficiency is low.
In order to solve the above technical problem, the present application provides a method for checking multiparty data, including:
acquiring original data of account checking parties;
processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats;
comparing the data of the reconciliation parties with the unified format according to a preset checking rule to obtain a comparison result;
and displaying the comparison result on a local interface, and calling a preset push plug-in to push the comparison result to the account checking parties.
Preferably, the acquiring of the original data of the account checking parties includes:
and acquiring the original data of the account checking parties in a preset time range.
Preferably, the acquiring of the original data of the account checking parties includes:
generating a data acquisition task, wherein the data acquisition task comprises operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated;
when the running time is reached, acquiring original data of account checking parties according to the running mode, and updating the running state to be running;
and after the acquisition of the original data of the account checking parties is finished, updating the running state to be running.
Preferably, the processing the original data of the two reconciliation parties by using the preset data processing plug-in to obtain the data of the two reconciliation parties with uniform formats includes:
loading corresponding preset data processing plug-ins according to the fields to be checked in the original data of the account checking parties; and processing the original data of the account checking parties by using the preset data processing plug-in to obtain the data of the account checking parties with uniform formats.
Preferably, the processing the original data of the two reconciliation parties by using the preset data processing plug-in to obtain the data of the two reconciliation parties with uniform formats includes:
when the field to be checked in the original data of the account checking parties is the settlement weight, processing the original data of the account checking parties by using a settlement weight data processing plugin to obtain the data of the account checking parties with consistent measurement units;
and when the field to be checked in the original data of the account checking parties is the settlement amount, processing the original data of the account checking parties by using an exchange rate data processing plug-in to obtain the data of the account checking parties with uniform currency.
Preferably, the comparing, according to a preset checking rule, the data of the reconciliation parties with unified formats to obtain a comparison result includes:
selecting a corresponding preset check rule from predefined check rules according to the fields to be checked in the data of the account checking parties with the uniform format; and comparing the data of the reconciliation parties with the unified format according to the preset checking rule to obtain a comparison result.
Preferably, the calling a preset pushing plug-in to push the comparison result to the account checking party includes:
generating a result pushing task, wherein the result pushing task comprises operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated;
when the running time is reached, sorting the comparison result according to the running mode, calling a preset push plug-in to push the sorted comparison result to both account checking parties, and updating the running state to be running;
and after the pushing is finished, updating the running state to be running.
The present application also provides a device for collating multiparty data, including:
a data acquisition module: the method comprises the steps of obtaining original data of account checking parties;
a data processing module: the system comprises a data processing plug-in, a data processing module and a data processing module, wherein the data processing plug-in is used for processing the original data of the account checking parties to obtain the data of the account checking parties with uniform formats;
a data checking module: the system is used for comparing the data of the reconciliation parties with unified formats according to a preset checking rule to obtain a comparison result;
a result pushing module: and the system is used for displaying the comparison result on a local interface and calling a preset pushing plug-in to push the comparison result to the account checking parties.
In addition, the present application also provides an apparatus for collating multiparty data, including:
a memory: for storing a computer program;
a processor: for executing said computer program for carrying out the steps of a method of collating multi-party data as described above.
Finally, the present application provides a readable storage medium having stored thereon a computer program for implementing the steps of a method of collating multiparty data as described above when executed by a processor.
The scheme of the method, the device, the equipment and the readable storage medium for checking the multi-party data provided by the application comprises the following steps: acquiring original data of account checking parties; processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats; according to a preset check rule, comparing the data of both reconciliation parties with unified formats to obtain a comparison result; and displaying the comparison result, and pushing the comparison result to both account checking parties. The scheme can automatically arrange the original data into data with a uniform format by using the data processing plug-in the process of checking the multi-party data, compare the data of the two parties with the uniform format according to the corresponding checking rule to obtain a comparison result, and finally automatically push the comparison result to the two reconciliation parties. The data checking process has the characteristics of standardization and modularization, does not need human participation, and obviously improves the efficiency and quality of data checking.
Drawings
For a clearer explanation of the embodiments or technical solutions of the prior art of the present application, the drawings needed for the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flowchart illustrating a first embodiment of a method for collating multi-party data provided herein;
FIG. 2 is a flowchart illustrating a second embodiment of a method for collating multi-party data provided by the present application;
FIG. 3 is a schematic diagram of a multi-level document of an embodiment of a method for reconciling multi-party data provided by the present application;
FIG. 4 is a diagram illustrating a second exemplary verification method according to a second embodiment of the present disclosure;
FIG. 5 is a functional block diagram of an embodiment of an apparatus for collating multi-party data provided herein;
fig. 6 is a schematic structural diagram of an embodiment of an apparatus for collating multi-party data according to the present application.
Detailed Description
The core of the application is to provide a method, a device, equipment and a readable storage medium for checking multi-party data, the checking process of the multi-party data is realized through a standardized, modularized and automatic checking scheme, no artificial participation is needed, and the efficiency and the quality of checking the data are obviously improved.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a first embodiment of a method for collating multi-party data provided by the present application is described as follows:
s101, acquiring original data of account checking parties;
s102, processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats;
s103, comparing the data of the reconciliation parties with the unified format according to a preset check rule to obtain a comparison result;
and S104, displaying the comparison result on a local interface, and calling a preset pushing plug-in to push the comparison result to the account checking party.
Specifically, the original data refers to data that is continuously updated during the business flow of the account checking party, and the original data includes one or more fields, and taking the trade field as an example, the original data may be a business order, and includes fields of a goods type, a goods amount, a settlement amount, and the like. In the process of processing the service, the original data may be circulated for many times, the operation parties involved in each link of the circulation are different, and each operation party obtains respective data for the same field in the process of processing the original data, so that the data of multiple parties needs to be checked.
As described above, the raw data includes one or more fields, and the data processing plug-ins and collation rules may differ for different fields. In this embodiment, corresponding data processing plug-ins and corresponding check rules are defined for the field that can be checked in the original data in advance, and specific data processing plug-ins and check rules are determined according to the field and the actual application scenario, which is not described in detail in this embodiment. In addition, the embodiment is provided with the push plug-in, and the preset push plug-in can be called to push the comparison result to the account checking party in a corresponding push mode after the comparison result is obtained.
It should be noted that after the comparison result is obtained, the embodiment may display the comparison result on the local interface. Specifically, the comparison result is displayed in different modes according to different comparison results, so that a user can visually know the comparison result. For example, when the comparison result is that the comparison fails, the comparison result is marked by a special color.
In an actual application scenario, the step S102 is specifically: loading corresponding preset data processing plug-ins according to the fields to be checked in the original data of the account checking parties; processing the original data of the account checking parties by using the preset data processing plug-in to obtain the data of the account checking parties with uniform formats; correspondingly, the step S103 is specifically: selecting a corresponding preset check rule from predefined check rules according to the fields to be checked in the data of the account checking parties with the uniform format; and comparing the data of the reconciliation parties with the unified format according to the preset checking rule to obtain a comparison result.
Specifically, in the first embodiment, S101, S102, S103, and S104 may be executed as independent tasks. For example, for S101, a data acquisition task may be generated, where the data acquisition task includes an operation time, an operation mode, and an operation state, and an initial value of the operation state is to be operated; when the running time is reached, acquiring original data of account checking parties according to the running mode, and updating the running state to be running; and after the acquisition of the original data of the account checking parties is finished, updating the running state to be running.
For S104, a result pushing task may be generated, where the result pushing task includes an operation time, an operation mode, and an operation state, and an initial value of the operation state is to be operated; when the running time is reached, sorting the comparison result according to the running mode, calling a preset push plug-in to push the sorted comparison result to both account checking parties, and updating the running state to be running; and after the pushing is finished, updating the running state to be running.
For S102, a data processing task may be generated, where the data processing task includes an operation time, an operation mode, and an operation state, and an initial value of the operation state is to be operated; when the running time is reached, processing the original data of the account checking parties by using a preset data processing plug-in according to the running mode to obtain the data of the account checking parties with uniform formats, and updating the running state into running; after the data processing is completed, the running state is updated to be running.
For step S103, a data comparison task may be generated, where the data comparison task includes an operation time, an operation mode, and an operation state, and an initial value of the operation state is to be operated; when the running time is reached, comparing the data of the account checking parties with the uniform format according to the running mode and a preset check rule to obtain a comparison result, and updating the running state into running; and after the data comparison is completed, updating the running state to be running.
The scheme of the method for checking multi-party data provided by the application comprises the following steps: acquiring original data of account checking parties; processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats; according to a preset check rule, comparing the data of both reconciliation parties with unified formats to obtain a comparison result; and pushing the comparison result to both reconciliation parties. The scheme can automatically arrange the original data into data with a uniform format by using the data processing plug-in the process of checking the multi-party data, compare the data of the two parties with the uniform format according to the corresponding checking rule to obtain a comparison result, and finally automatically push the comparison result to the two reconciliation parties. The data checking process has the characteristics of standardization and modularization, does not need human participation, and obviously improves the efficiency and quality of data checking.
The second embodiment of the method for checking multiparty data provided by the present application is described in detail below, and is implemented based on the first embodiment, and is expanded to a certain extent based on the first embodiment.
Referring to fig. 2, the second embodiment specifically includes:
s201, generating a data acquisition task, wherein the data acquisition task comprises operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated;
s202, when the running time is reached, acquiring original data of both account checking parties according to the running mode, and updating the running state into running; after the original data of the account checking parties are obtained, updating the running state to be running;
the reconciliation is generally a process of checking data generated by reconciliation parties in a fixed period, and therefore, the obtained raw data of the reconciliation parties in a preset time range in the embodiment can be specifically raw data of the reconciliation parties in the past week or raw data of the reconciliation parties in the past month.
The operation mode mainly refers to a triggering mode of the data acquisition task, and specifically may be triggered according to manual operation, or may be triggered when a predetermined condition is met, for example, the operation of the data acquisition task is automatically triggered when a certain preset time point is reached.
S203, loading corresponding preset data processing plug-ins according to the fields to be checked in the original data of the account checking parties;
as described above, one or more fields exist in the raw data, and for each field to be checked in the raw data, the embodiment defines the corresponding data processing plug-in and the checking rule in advance, so as to be called immediately in the checking process. The field to be checked may specifically include any one or more of the following: settlement weight, settlement unit price and settlement amount.
S204, processing the original data of the account checking parties by using the preset data processing plug-in to obtain the data of the account checking parties with uniform formats;
taking the check settlement weight as an example, two reconciliation parties are a client and a logistics company, in the original check data, the client settlement weight may be in kilogram unit, while my party is in ton unit, because of the difference of the measurement units of the two parties, the data comparison cannot be carried out, so the weight calculation plug-in of the corresponding client is introduced, the value in kilogram unit is converted into the value in ton unit, and the operation of data comparison can be carried out only after the measurement units of the two parties are consistent. For another example, taking the checking calculation amount as an example, the amount of the customer may be in dollars, the customer may be in RMB as a unit, the two parties agree in advance to use RMB as the checking currency, the exchange rate calculation plug-in of the corresponding customer is introduced during the data checking calculation, the amount of the customer is converted into a value in RMB as a unit, and the customer can perform the next operation.
Therefore, as a specific implementation manner, when the field to be checked in the raw data of the reconciliation parties is the settlement weight, the raw data of the reconciliation parties is processed by using a settlement weight data processing plugin to obtain the data of the reconciliation parties with consistent measurement units; and when the field to be checked in the original data of the account checking parties is the settlement amount, processing the original data of the account checking parties by using an exchange rate data processing plug-in to obtain the data of the account checking parties with uniform currency.
S205, selecting a corresponding preset check rule from predefined check rules according to the fields to be checked in the data of the reconciliation parties with unified format;
s206, comparing the data of the reconciliation parties with the unified format according to the preset checking rule to obtain a comparison result;
taking the check of the balance weight as an example, the balance weight of both parties is the respective weighing weight, and according to the national regulation, the error of the weighing weight of both parties within +/-3 per thousand is normal, because different scales have errors when weighing. Therefore, corresponding checking rules are introduced in the data comparison, and the data meeting the checking rules should be judged to be successful in account checking. And corresponding checking rules are set in different fields, and whether the account checking is successful is judged according to the checking rules.
Specifically, when the field to be checked in the original data from the two parties is judged to accord with the checking rule, the checking result is determined to be successful, otherwise, the checking result is determined to be failed. On the basis, when the checking result is successful, generating a corresponding checking logarithm value according to the checking rule; and when the checking result is failure, marking the related data column of the original data. Specifically, the difference information may be displayed in various ways as the label, such as using different colors, different font sizes or font weights, and the like.
And S207, sorting the comparison result, displaying the comparison result locally, and pushing the sorted comparison result to the reconciliation parties.
Specifically, a result pushing task is generated, wherein the result pushing task comprises an operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated; when the running time is reached, sorting the comparison result according to the running mode, pushing the sorted comparison result to both account checking parties, and updating the running state into running; and after the pushing is finished, updating the running state to be running.
The operation mode mainly refers to a trigger mode of the result pushing task, and specifically may be triggered according to manual operation, or may be triggered when a pre-specified condition is met, for example, the operation of the result pushing task is automatically triggered when a certain preset time point is reached.
In order to facilitate the verification, it is considered to generate the document by using a fixed document template, and determine the field type, the field distribution, the field data type, and the like as the raw data. In the embodiment, in the process of checking the whole document, the document comprises a plurality of first-level sub-documents, and the first-level sub-document may comprise a plurality of second-level sub-documents. As is known, existing documents are mostly displayed in a form of a table, one table can only display data of one-level documents, the dependency relationship among multiple-level documents cannot be well reflected, and meanwhile summary information of the data among the documents at all levels cannot be well reflected when the data is checked. Moreover, the document splitting level is more, and the defect is more obvious.
In order to better reflect the dependency relationship between the documents at different levels after splitting and facilitate checking of the multiparty data in the documents, as shown in fig. 3, in this embodiment, the document format including the multilevel relationship is as follows: (1) the left side shows the subordinate relation of each level of bill in a tree-shaped directory mode, different bills are distinguished in an icon and indentation mode, and each level of bill can be unfolded and folded, so that each level of bill is conveniently filtered and checked; (2) the data of all levels of documents are displayed on the right side in a form of a table, the same data index is displayed in the same column, and the splitting and summarizing relationship of the data among all levels of documents can be visually displayed; (3) the purchase settlement amount and the sale settlement amount are respectively checked with the actual delivery amount of a supplier and the work area signing amount by inputting, so that the multi-party data can be checked; (4) the checked group of data sets the checking condition, and the group of data which does not meet the condition uses different font colors or other marking forms to display the checking result.
The following describes the verification process of this embodiment by taking the simplest application scenario as an example:
assuming that a field of checking settlement weight is described, as shown in fig. 4, DD20190514001 is a steel bar order from hong he shang jingmao mao corp ltd (client) to si-da, where the order number is large (assumed to be 67.2 tons), 1 truck cannot complete the transportation task of the steel bar at one time, 2 trucks (chuan a90993 and chuan a90994) need to be allocated for transportation, and 1 dispatch list (PCD 201107810001 and PCD201811070002) needs to be generated for each truck when the transportation task is allocated to the truck; a truck driver takes a dispatching list as a basis for loading goods in a steel mill, weighing the goods by the driver in the steel mill after loading the goods, wherein the weighing weight is used as a basis for reconciliation with customers in the future; after receiving the reinforcing steel bars, the customer can use the self weighing scale to weigh again, and the weighing weight is recorded in the dispatching list information as the receipt amount; when checking accounts, the dispatching orders are used as the most basic checking basis, each dispatching order is checked one by one, when the settlement weight index is checked, a steel mill (weighing amount) and a customer (return order amount) are compared, if the two parties are consistent in quantity, the checking is successful, and data under the index are represented by black characters; if the data are inconsistent, the checking fails, the data are marked by red fonts, the two parties need to be coordinated to check the quantity which is approved by both parties, and the quantity is recorded into the system as the final result of the reconciliation. The approved data is represented in green.
In the following, a device for collating multi-party data provided by the embodiments of the present application is introduced, and a device for collating multi-party data described below and a method for collating multi-party data described above may be referred to correspondingly.
As shown in fig. 5, the apparatus includes:
the data acquisition module 501: the method comprises the steps of obtaining original data of account checking parties;
the data processing module 502: the system comprises a data processing plug-in, a data processing module and a data processing module, wherein the data processing plug-in is used for processing the original data of the account checking parties to obtain the data of the account checking parties with uniform formats;
the data collation module 503: the system is used for comparing the data of the reconciliation parties with unified formats according to a preset checking rule to obtain a comparison result;
the result pushing module 504: and the system is used for displaying the comparison result on a local interface and calling a preset pushing plug-in to push the comparison result to the account checking parties.
An apparatus for collating multi-party data of the present embodiment is used to implement the aforementioned method for collating multi-party data, and therefore, the detailed implementation of the apparatus can be seen from the above-mentioned part of the embodiment of the method for collating multi-party data, and therefore, the detailed implementation thereof can refer to the description of the corresponding part of the embodiment, and will not be further described herein.
In addition, since the apparatus for collating multi-party data of this embodiment is used to implement the aforementioned method for collating multi-party data, its function corresponds to that of the above-mentioned method, and is not described herein again.
In addition, the present application also provides an apparatus for collating multiparty data, as shown in fig. 6, including:
the memory 100: for storing a computer program;
the processor 200: for executing said computer program for carrying out the steps of a method of collating multi-party data as described hereinbefore.
Finally, the present application provides a readable storage medium having stored thereon a computer program for implementing the steps of a method of collating multiparty data as described above when executed by a processor.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above detailed descriptions of the solutions provided in the present application, and the specific examples applied herein are set forth to explain the principles and implementations of the present application, and the above descriptions of the examples are only used to help understand the method and its core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method of collating multi-party data, comprising:
acquiring original data of account checking parties;
processing the original data of the account checking parties by using a preset data processing plug-in to obtain the data of the account checking parties with uniform formats;
comparing the data of the reconciliation parties with the unified format according to a preset checking rule to obtain a comparison result;
and displaying the comparison result on a local interface, and calling a preset push plug-in to push the comparison result to the account checking parties.
2. The method of claim 1, wherein the obtaining of the raw data of both reconciling parties comprises:
and acquiring the original data of the account checking parties in a preset time range.
3. The method of claim 2, wherein the obtaining raw data of both reconciling parties comprises:
generating a data acquisition task, wherein the data acquisition task comprises operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated;
when the running time is reached, acquiring original data of account checking parties according to the running mode, and updating the running state to be running;
and after the acquisition of the original data of the account checking parties is finished, updating the running state to be running.
4. The method of claim 1, wherein the processing the raw data of the two reconciliation parties by using a preset data processing plug-in to obtain the data of the two reconciliation parties with unified format comprises:
loading corresponding preset data processing plug-ins according to the fields to be checked in the original data of the account checking parties; and processing the original data of the account checking parties by using the preset data processing plug-in to obtain the data of the account checking parties with uniform formats.
5. The method of claim 4, wherein the processing the raw data of the two reconciliation parties by using the preset data processing plug-in to obtain the data of the two reconciliation parties with unified format comprises:
when the field to be checked in the original data of the account checking parties is the settlement weight, processing the original data of the account checking parties by using a settlement weight data processing plugin to obtain the data of the account checking parties with consistent measurement units;
and when the field to be checked in the original data of the account checking parties is the settlement amount, processing the original data of the account checking parties by using an exchange rate data processing plug-in to obtain the data of the account checking parties with uniform currency.
6. The method according to any one of claims 1 to 5, wherein the comparing the data of the reconciliation parties with unified format according to a preset checking rule to obtain a comparison result comprises:
selecting a corresponding preset check rule from predefined check rules according to the fields to be checked in the data of the account checking parties with the uniform format; and comparing the data of the reconciliation parties with the unified format according to the preset checking rule to obtain a comparison result.
7. The method of claim 6, wherein the invoking a preset push plug-in to push the comparison result to the reconciliation parties comprises:
generating a result pushing task, wherein the result pushing task comprises operation time, an operation mode and an operation state, and an initial value of the operation state is to be operated;
when the running time is reached, sorting the comparison result according to the running mode, calling a preset push plug-in to push the sorted comparison result to both account checking parties, and updating the running state to be running;
and after the pushing is finished, updating the running state to be running.
8. An apparatus for collating multi-party data, comprising:
a data acquisition module: the method comprises the steps of obtaining original data of account checking parties;
a data processing module: the system comprises a data processing plug-in, a data processing module and a data processing module, wherein the data processing plug-in is used for processing the original data of the account checking parties to obtain the data of the account checking parties with uniform formats;
a data checking module: the system is used for comparing the data of the reconciliation parties with unified formats according to a preset checking rule to obtain a comparison result;
a result pushing module: and the system is used for displaying the comparison result on a local interface and calling a preset pushing plug-in to push the comparison result to the account checking parties.
9. An apparatus for collating multiparty data, comprising:
a memory: for storing a computer program;
a processor: for executing said computer program for carrying out the steps of a method of collating multiparty data according to any one of claims 1-7.
10. A readable storage medium, having stored thereon a computer program for implementing the steps of a method of collating multiparty data according to any one of claims 1-7 when executed by a processor.
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| CN201910950003.4A CN110689419A (en) | 2019-10-08 | 2019-10-08 | Method, device and equipment for checking multi-party data |
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| CN201910950003.4A CN110689419A (en) | 2019-10-08 | 2019-10-08 | Method, device and equipment for checking multi-party data |
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| CN201910950003.4A Pending CN110689419A (en) | 2019-10-08 | 2019-10-08 | Method, device and equipment for checking multi-party data |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112215692A (en) * | 2020-09-30 | 2021-01-12 | 远光软件股份有限公司 | Data checking method, device, terminal equipment and storage medium |
| CN112286936A (en) * | 2020-11-03 | 2021-01-29 | 金蝶软件（中国）有限公司 | Account checking method, system and related equipment |
| CN113139003A (en) * | 2020-01-19 | 2021-07-20 | 上海静客网络科技有限公司 | Spark-based big data processing method |
| CN114331663A (en) * | 2022-03-15 | 2022-04-12 | 国网浙江省电力有限公司金华供电公司 | Multidimensional path comparison type data processing method and device suitable for financial information |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175165A (en) * | 2019-04-16 | 2019-08-27 | 平安普惠企业管理有限公司 | Transaction account checking method, device, computer equipment and storage medium |
| CN110223153A (en) * | 2019-04-17 | 2019-09-10 | 深圳壹账通智能科技有限公司 | Account checking method, device, electronic equipment and storage medium |
-
2019
- 2019-10-08 CN CN201910950003.4A patent/CN110689419A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175165A (en) * | 2019-04-16 | 2019-08-27 | 平安普惠企业管理有限公司 | Transaction account checking method, device, computer equipment and storage medium |
| CN110223153A (en) * | 2019-04-17 | 2019-09-10 | 深圳壹账通智能科技有限公司 | Account checking method, device, electronic equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139003A (en) * | 2020-01-19 | 2021-07-20 | 上海静客网络科技有限公司 | Spark-based big data processing method |
| CN112215692A (en) * | 2020-09-30 | 2021-01-12 | 远光软件股份有限公司 | Data checking method, device, terminal equipment and storage medium |
| CN112286936A (en) * | 2020-11-03 | 2021-01-29 | 金蝶软件（中国）有限公司 | Account checking method, system and related equipment |
| CN114331663A (en) * | 2022-03-15 | 2022-04-12 | 国网浙江省电力有限公司金华供电公司 | Multidimensional path comparison type data processing method and device suitable for financial information |
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