CN116091258A - Data processing method and device for account checking management - Google Patents
Data processing method and device for account checking management Download PDFInfo
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Abstract
The application discloses a data processing method and device for reconciliation management. Obtaining reconciliation request data as data for representing business transactions of an enterprise; identifying and processing the reconciliation request data based on the order identification to obtain order identification data which is identification data for representing business transaction orders of enterprises; carrying out order pulling processing based on bank-enterprise direct connection on account checking request data to obtain transaction flow data, wherein the transaction flow data is data for representing enterprise transaction flow; and checking the transaction flow data based on the order identification data to obtain checking result data and outputting checking prompt data. In the method, the enterprise business collecting and paying and account checking flow is established through the bank-enterprise direct connection, the order collecting and paying state is judged and automatic account checking is carried out through the running water data obtained through the enterprise business order and the bank-enterprise direct connection, the collecting and paying and automatic account checking are completed independently of the third-party payment module, and the technical effect of improving account checking efficiency is achieved.
Description
Technical Field
The present application relates to the field of computers, and in particular, to a data processing method and apparatus for reconciliation management.
Background
At present, most of the payment and receipt operations of enterprises are completed based on third party payment, such as payment treasures, weChats, union and other third party payment modes, and the flow and receipt information of the payment data are all dependent on templates of the third party, so that data modes corresponding to the enterprises are difficult to form. Therefore, when checking account, because of the complexity of financial checking account, the amount of work that needs financial staff to perform manual processing is more when receiving the flowing receipt of the third party, and automatic checking account is difficult to realize, so that the efficiency of enterprises is lower when checking account processing.
Therefore, the enterprise account checking in the prior art has the technical problem of lower efficiency.
Disclosure of Invention
The main aim of the application is to provide a data processing method and device for account checking management, so as to solve the technical problem of low account checking efficiency of enterprises in the prior art, and realize the technical effect of improving the account checking efficiency of the enterprises.
In order to achieve the above object, a first aspect of the present application proposes a data processing method for reconciliation management, applied to an enterprise business system, to implement the management of reconciliation, the data processing method comprising:
obtaining reconciliation request data, wherein the reconciliation request data is data for representing business transactions of enterprises;
performing recognition processing based on order identification on the reconciliation request data to obtain order identification data, wherein the order identification data is identification data used for representing business transaction orders of enterprises;
carrying out order pulling processing based on bank-enterprise direct connection on the account checking request data to obtain transaction flow data, wherein the transaction flow data is data for representing enterprise transaction flow;
and checking the transaction flow data based on the order identification data to obtain checking result data and outputting checking prompt data, wherein the checking prompt data comprises the checking result data.
In some optional embodiments of the present application, reconciling the transaction flow data based on the order identification data, obtaining reconciliation result data includes:
carrying out recognition processing based on order identification on the transaction flow data to obtain order transaction flow data, wherein the order transaction flow data is transaction flow data which is used for representing correspondence of the order identification;
performing recognition processing based on preset order information on the reconciliation request data to obtain order transaction data, wherein the order transaction data is data for representing business transactions of enterprises;
and carrying out order comparison processing on the order transaction running water data and the order transaction data to obtain the reconciliation result data and outputting the reconciliation prompt data.
In some optional embodiments of the present application, performing order comparison processing on the order transaction flow data and the order transaction data, obtaining the reconciliation result data and outputting the reconciliation prompt data includes:
comparing the order transaction flow data with the order transaction data based on transaction amount,
if the transaction amount corresponding to the order transaction flow data is equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data and outputting first reconciliation prompt data, wherein the first reconciliation prompt data is data for representing that business transactions of enterprises are normal;
and if the transaction amount corresponding to the order transaction flow data is not equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data and outputting second reconciliation prompt data, wherein the second reconciliation prompt data is data for representing abnormal business transactions of enterprises.
In some optional embodiments of the present application, the transaction amount corresponding to the order transaction arrangement data is not equal to the transaction amount corresponding to the order transaction data, and generating the reconciliation result data includes:
generating first-type reconciliation result data if the transaction amount corresponding to the order transaction flow data is larger than the transaction amount corresponding to the order transaction data, wherein the first-type reconciliation result data is reconciliation result data for representing a state to be checked;
and if the transaction amount corresponding to the order transaction flow data is smaller than the transaction amount corresponding to the order transaction data, carrying out order comparison processing on the order transaction data and the order transaction flow data within a preset time threshold, and if the transaction amount corresponding to the order transaction data is smaller than the transaction amount corresponding to the order transaction flow data within the preset time threshold, generating second-type reconciliation result data, wherein the second-type reconciliation result data is reconciliation result data for representing a state to be collected.
In some optional embodiments of the present application, reconciling the transaction flow data based on the order identification data, obtaining reconciliation result data includes:
performing recognition processing based on the transaction type on the reconciliation request data to obtain reconciliation transaction request data, wherein the reconciliation transaction request data comprises first reconciliation transaction request data and second reconciliation transaction request data, the first reconciliation transaction request data is the reconciliation request data which is used for representing the correspondence of the first transaction type, and the second reconciliation transaction request data is the reconciliation request data which is used for representing the correspondence of the second transaction type;
performing reconciliation processing on the first reconciliation transaction request data based on a preset first reconciliation flow model to obtain first reconciliation result data, wherein the preset first reconciliation flow model is a reconciliation flow model for representing a collection order;
and performing reconciliation processing on the second reconciliation transaction request data based on a preset second reconciliation flow model to obtain second reconciliation result data, wherein the preset second reconciliation flow model is a reconciliation flow model for representing payment orders.
In some optional embodiments of the present application, outputting the reconciliation reminder data includes:
performing recognition processing based on service characteristics on the reconciliation request data to obtain order service characteristic data, wherein the order service characteristic data is characteristic data for representing a service corresponding to a transaction order;
matching corresponding service prompt nodes according to the order service characteristics to obtain reconciliation service prompt node data, wherein the reconciliation service prompt node data is prompt node data which is used for representing corresponding service of a transaction order;
and determining a prompt output end according to the reconciliation service prompt node data, and outputting the reconciliation prompt data to the prompt output end.
According to a second aspect of the present application, there is provided a data processing apparatus for reconciliation management, applied to an enterprise business system, for implementing the management of reconciliation, the data processing apparatus comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring reconciliation request data, wherein the reconciliation request data is data for representing business transactions of enterprises;
the identification and identification module is used for carrying out identification processing based on order identification on the reconciliation request data to obtain order identification data, wherein the order identification data is identification data used for representing business transaction orders of enterprises;
the running water pulling module is used for carrying out order pulling processing based on bank-enterprise direct connection on the reconciliation request data to obtain transaction running water data, wherein the transaction running water data is data for representing enterprise transaction running water;
and the reconciliation module is used for performing reconciliation processing on the transaction flow data based on the order identification data to obtain reconciliation result data and outputting reconciliation prompt data, wherein the reconciliation prompt data comprises the reconciliation result data.
In some optional embodiments of the present application, the reconciliation module comprises:
the running water identification module is used for carrying out identification processing based on the order identification on the transaction running water data to obtain order transaction running water data, wherein the order transaction running water data is transaction running water data which is used for representing correspondence of the order identification;
the order identification module is used for carrying out identification processing based on preset order information on the reconciliation request data to obtain order transaction data, wherein the order transaction data is data for representing business transaction of enterprises;
and the account checking comparison module is used for comparing the order transaction running water data with the order transaction data to obtain the account checking result data and outputting the account checking prompt data.
According to a third aspect of the present application, a computer-readable storage medium storing computer instructions for causing the computer to execute the above-described data processing method for reconciliation management is provided.
According to a fourth aspect of the present application, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the data processing method for reconciliation management as described above.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
in the application, accounting request data is acquired, wherein the accounting request data is data for representing business transaction of an enterprise; performing recognition processing based on order identification on the reconciliation request data to obtain order identification data, wherein the order identification data is identification data used for representing business transaction orders of enterprises; carrying out order pulling processing based on bank-enterprise direct connection on the account checking request data to obtain transaction flow data, wherein the transaction flow data is data for representing enterprise transaction flow; and checking the transaction flow data based on the order identification data to obtain checking result data and output checking prompt data. In the method, the enterprise business collecting and paying and account checking flow is established through the bank-enterprise direct connection, the order collecting and paying state is judged and automatic account checking is carried out through the running water data obtained through the enterprise business order and the bank-enterprise direct connection, the collecting and paying and automatic account checking are completed independently of the third-party payment module, and the technical effect of improving account checking efficiency is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application and to provide a further understanding of the application with regard to the other features, objects and advantages of the application. The drawings of the illustrative embodiments of the present application and their descriptions are for the purpose of illustrating the present application and are not to be construed as unduly limiting the present application. In the drawings:
FIG. 1 is a flow chart of a data processing method for reconciliation management provided herein;
FIG. 2 is a flow chart of a data processing method for reconciliation management provided herein;
FIG. 3 is a flow chart of a data processing method for reconciliation management provided herein;
FIG. 4 is a schematic diagram of a data processing apparatus for reconciliation management provided herein;
fig. 5 is a schematic diagram of another data processing apparatus for reconciliation management provided herein.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the present application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like indicate an azimuth or a positional relationship based on that shown in the drawings. These terms are used primarily to better describe the present application and its embodiments and are not intended to limit the indicated device, element or component to a particular orientation or to be constructed and operated in a particular orientation.
Also, some of the terms described above may be used to indicate other meanings in addition to orientation or positional relationships, for example, the term "upper" may also be used to indicate some sort of attachment or connection in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "configured," "provided," "connected," "coupled," and "sleeved" are to be construed broadly. For example, "connected" may be in a fixed connection, a removable connection, or a unitary construction; may be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements, or components. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art as the case may be.
The operation of the present receipts is mostly based on third party payments such as payroll, weChat, union, etc. The information such as the flow of the receipt and payment data, the receipt and the like depends on the fact that the existing template of the third party cannot form the data and the mode of own business, and when checking accounts, the prior art comprises: manually checking accounts of financial staff, checking running water according to a receipt of a merchant, then confirming the state of a bill, wherein the manual operation is needed, a large amount of communication cost is contained in the bill, and the financial staff needs to be notified after the merchant pays; financial staff semi-automatic reconciliation replaces financial staff comparison workload through some automatic reconciliation software, but financial staff can realize that a part of redundant workload is still in financial staff according to a template of the software. Therefore, the enterprise account checking in the prior art has the technical problem of lower efficiency.
The data processing method for account checking management is applied to an enterprise business system, is used for enterprise business receiving and paying and account checking processes through direct connection of an enterprise, judges the order receiving and paying states and automatically checks accounts through running water data obtained through direct connection of an enterprise business order and the enterprise, does not depend on a third party payment module to finish receiving and paying and automatically checks accounts, and solves the problem of low account checking efficiency of enterprises in the prior art.
In some alternative embodiments of the present application, there is provided a data processing method for reconciliation management, and fig. 1 is a flowchart of a data processing method for reconciliation management provided in the present application, as shown in fig. 1, the method including the steps of:
s101: obtaining account checking request data;
the reconciliation request data is data for representing business transactions of enterprises, when the enterprises conduct business transactions, receipt and payment processing of corresponding money of transaction information is needed, and when the enterprises conduct business transactions, transaction business order data including related data such as transaction amount, business type, transaction objects and the like are obtained.
S102: identifying the reconciliation request data based on the order identification to obtain order identification data;
the order identification data is identification data for representing business transaction orders of enterprises, and when the enterprises conduct business transactions, unique identification of the business transaction orders, namely, order identification, is generated, business transaction data corresponding to the enterprises are determined according to the unique identification, and the order identification can be unique identification data such as UUID, GUID, time stamp and the like, or can be unique identification code generated for enterprise self-defined serial numbers.
S103: carrying out order pulling processing based on bank-enterprise direct connection on account checking request data to obtain transaction flow data;
the transaction flow data is data for representing enterprise transaction flow, the enterprise financial system is connected with the banking system, all data related to the transaction state, receipt, flow and the like of the enterprise business transaction are obtained from the banking system through information interaction by being directly connected with the banking system,
s104: and checking the transaction flow data based on the order identification data to obtain checking result data and outputting checking prompt data.
The reconciliation cue data includes reconciliation result data.
In the embodiment of the application, based on direct connection of the bank and the enterprise, the comparison of the business order data and the bank running water is carried out, so that automatic account checking processing during business transaction of the enterprise is realized, and the account checking efficiency of the enterprise is improved.
In some alternative embodiments of the present application, there is provided a data processing method for reconciliation management, and fig. 2 is a flowchart of a data processing method for reconciliation management provided in the present application, as shown in fig. 2, the method including the steps of:
s201: carrying out recognition processing based on order identification on the transaction flow data to obtain order transaction flow data;
the order transaction running water data is transaction running water data which is used for representing correspondence of order identification, the order transaction running water data is running water information obtained from a banking system, the data which represents actual collection or payment during business transaction, and the order transaction data can be used for determining the running water data which corresponds to business transaction orders through the order identification, wherein the order transaction running water data comprises order identification data and account data.
S202: identifying and processing the reconciliation request data based on preset order information to obtain order transaction data;
the order transaction data is data for representing business transaction of enterprises, and when the enterprises conduct business order transaction, transaction orders are generated, wherein the transaction orders comprise transaction information such as transaction time, transaction objects, transaction amounts and the like, and the order transaction data such as time, objects, amounts and the like corresponding to the current transaction orders are obtained through identification of the transaction information in the current reconciliation request data.
S203: and carrying out order comparison processing on the order transaction flow data and the order transaction data to obtain reconciliation result data and outputting reconciliation prompt data.
In another alternative embodiment of the present application, there is provided a data processing method for reconciliation management, including:
comparing the order transaction flow data with the order transaction data based on transaction amount, if the transaction amount corresponding to the order transaction flow data is equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data, and outputting first reconciliation prompt data, wherein the first reconciliation prompt data is data for representing that business transactions of enterprises are normal; and if the transaction amount corresponding to the order transaction flow data is not equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data and outputting second reconciliation prompt data, wherein the second reconciliation prompt data is data for representing business transaction abnormality of enterprises.
And when the transaction amount corresponding to the order transaction flow data is equal to the transaction amount corresponding to the order transaction data, the business order finishes the receipt and payment transaction, and the account checking is free from abnormal state, so that the transaction receipt and payment and the account checking are finished. When the transaction amount corresponding to the order transaction flow data is not equal to the transaction amount corresponding to the order transaction data, the business order transaction receives payment or accounts checking has abnormal states, and abnormal state identification judgment is carried out.
In another optional embodiment of the present application, there is provided a data processing method for reconciliation management, wherein a transaction amount corresponding to order transaction aggregate data is not equal to a transaction amount corresponding to the order transaction data, and generating reconciliation result data includes:
if the transaction amount corresponding to the order transaction flow data is larger than the transaction amount corresponding to the order transaction data, generating first-type reconciliation result data, wherein the first-type reconciliation result data is reconciliation result data for representing a state to be checked; if the transaction amount corresponding to the order transaction flow data is smaller than the transaction amount corresponding to the order transaction data, order comparison processing is carried out on the order transaction data and the order transaction flow data within a preset time threshold, and if the transaction amount corresponding to the order transaction data is smaller than the transaction amount corresponding to the order transaction flow data within the preset time threshold, second-type reconciliation result data is generated, wherein the second-type reconciliation result data is reconciliation result data for representing a state to be collected.
For example, if the business transaction order is collection, the total sum of the order transaction is smaller than the order amount, the financial state is to be collected, the to-be-collected account includes two cases that no flowing water is in and the received flowing water amount is insufficient, if the pulled flowing water amount is not more than or equal to the order amount all the time, a certain time threshold (for example, 3 days) is exceeded, and an account checking result and prompt information are generated and sent to the corresponding business node; the aggregate sum is larger than the order amount, the financial state is to be checked, the amount received by the mark to be checked is more, and a checking result and prompt information are generated and sent to the corresponding service node; the running total is equal to the amount of the order, the financial state is collected, the collection is completed, and the account checking result and the prompt information are generated and sent to the corresponding service nodes.
In another alternative embodiment of the present application, there is provided a data processing method for reconciliation management, and fig. 3 is a flowchart of a data processing method for reconciliation management provided in the present application, as shown in fig. 3, the method including the steps of:
s301: identifying and processing the reconciliation request data based on the transaction type to obtain reconciliation transaction request data;
the reconciliation transaction request data comprises first reconciliation transaction request data and second reconciliation transaction request data, the first reconciliation transaction request data is reconciliation request data which is used for representing correspondence of a first transaction type, and the second reconciliation transaction request data is reconciliation request data which is used for representing correspondence of a second transaction type, and the reconciliation request data comprises enterprise collection order reconciliation request data and enterprise payment order reconciliation request data.
S302: performing reconciliation processing on the first reconciliation transaction request data based on a preset first reconciliation flow model to obtain first reconciliation result data;
the first reconciliation process model is preset as a reconciliation process model for representing a collection order.
S303: and performing reconciliation processing on the second reconciliation transaction request data based on a preset second reconciliation flow model to obtain second reconciliation result data.
The second reconciliation process model is preset as a reconciliation process model for representing payment orders.
In the embodiment of the application, the technical scheme of automatic account checking processing for the business receipts of the enterprise is set based on the bank-enterprise direct connection, so that the workload required by account checking in the business transaction process of the enterprise is reduced, the receipts are automatically realized, and the account checking efficiency is improved.
In another optional embodiment of the present application, a data processing method for reconciliation management is provided, where when outputting a reconciliation result, if a processing scheme of reconciliation prompt data including reconciliation result data is performed, the method includes:
performing recognition processing based on service characteristics on the reconciliation request data to obtain order service characteristic data, wherein the order service characteristic data is characteristic data for representing a service corresponding to a transaction order; matching corresponding service prompt nodes according to the order service characteristics to obtain reconciliation service prompt node data, wherein the reconciliation service prompt node data is prompt node data for representing corresponding service of a transaction order; and determining a prompt output end according to the prompt node data of the account checking service, and outputting the account checking prompt data to the prompt output end.
For example, when the enterprise collects money, after the running amount is less than the order amount for a certain time threshold, prompt information for financial staff is generated, and the prompt information matches with business staff corresponding to the order business so as to prompt the user to pay.
In another alternative embodiment of the present application, a data processing apparatus for reconciliation management is provided, which is applied to an enterprise business system to implement reconciliation management, and fig. 4 is a schematic diagram of a data processing apparatus for reconciliation management provided in the present application, and as shown in fig. 4, the data processing apparatus includes:
a data obtaining module 41, configured to obtain reconciliation request data, where the reconciliation request data is data for representing business transactions of an enterprise;
the identification recognition module 42 is configured to perform recognition processing based on order identification on the accounting request data to obtain order identification data, where the order identification data is identification data for representing an enterprise business transaction order;
the transaction flow data is data for representing enterprise transaction flow;
and the reconciliation module 44 is configured to perform reconciliation processing on the transaction flow data based on the order identification data, obtain reconciliation result data, and output reconciliation prompt data, where the reconciliation prompt data includes the reconciliation result data.
In another alternative embodiment of the present application, there is provided a data processing apparatus for reconciliation management, and fig. 5 is a schematic diagram of another data processing apparatus for reconciliation management provided in the present application, as shown in fig. 5, the data processing apparatus including:
the serial identification identifying module 51 is configured to perform identification processing based on an order identification on the transaction serial data to obtain order transaction serial data, where the order transaction serial data is transaction serial data that is used to represent correspondence of the order identification;
the order identifying module 52 is configured to perform identification processing on the accounting request data based on preset order information, so as to obtain order transaction data, where the order transaction data is data for representing business transaction of an enterprise;
and the reconciliation comparison module 53 is configured to perform order comparison processing on the order transaction flow data and the order transaction data, obtain reconciliation result data, and output the reconciliation prompt data.
The specific manner in which the operations of the units in the above embodiments are performed has been described in detail in the embodiments related to the method, and will not be described in detail here.
In summary, in the present application, the reconciliation request data is obtained, where the reconciliation request data is data for representing business transactions of an enterprise; identifying the reconciliation request data based on the order identification to obtain order identification data, wherein the order identification data is identification data for representing business transaction orders of enterprises; carrying out order pulling processing based on bank-enterprise direct connection on account checking request data to obtain transaction flow data, wherein the transaction flow data is data for representing enterprise transaction flow; and checking the transaction flow data based on the order identification data to obtain checking result data and outputting checking prompt data. In the method, the enterprise business collecting and paying and account checking flow is established through the bank-enterprise direct connection, the order collecting and paying state is judged and automatic account checking is carried out through the running water data obtained through the enterprise business order and the bank-enterprise direct connection, the collecting and paying and automatic account checking are completed independently of the third-party payment module, and the technical effect of improving account checking efficiency is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
It will be apparent to those skilled in the art that the elements or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored in a memory device for execution by the computing devices, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (10)
1. A data processing method for reconciliation management, applied to an enterprise business system to implement reconciliation management, the data processing method comprising:
obtaining reconciliation request data, wherein the reconciliation request data is data for representing business transactions of enterprises;
performing recognition processing based on order identification on the reconciliation request data to obtain order identification data, wherein the order identification data is identification data used for representing business transaction orders of enterprises;
carrying out order pulling processing based on bank-enterprise direct connection on the account checking request data to obtain transaction flow data, wherein the transaction flow data is data for representing enterprise transaction flow;
and checking the transaction flow data based on the order identification data to obtain checking result data and outputting checking prompt data, wherein the checking prompt data comprises the checking result data.
2. The data processing method according to claim 1, wherein performing a reconciliation process on the transaction flow data based on the order identification data, obtaining reconciliation result data comprises:
carrying out recognition processing based on order identification on the transaction flow data to obtain order transaction flow data, wherein the order transaction flow data is transaction flow data which is used for representing correspondence of the order identification;
performing recognition processing based on preset order information on the reconciliation request data to obtain order transaction data, wherein the order transaction data is data for representing business transactions of enterprises;
and carrying out order comparison processing on the order transaction running water data and the order transaction data to obtain the reconciliation result data and outputting the reconciliation prompt data.
3. The data processing method according to claim 2, wherein performing order comparison processing on the order transaction flow data and the order transaction data to obtain the reconciliation result data and output the reconciliation prompt data comprises:
comparing the order transaction flow data with the order transaction data based on transaction amount,
if the transaction amount corresponding to the order transaction flow data is equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data and outputting first reconciliation prompt data, wherein the first reconciliation prompt data is data for representing that business transactions of enterprises are normal;
and if the transaction amount corresponding to the order transaction flow data is not equal to the transaction amount corresponding to the order transaction data, generating reconciliation result data and outputting second reconciliation prompt data, wherein the second reconciliation prompt data is data for representing abnormal business transactions of enterprises.
4. The data processing method of claim 3, wherein the transaction amount corresponding to the order transaction arrangement data is not equal to the transaction amount corresponding to the order transaction data, and generating reconciliation result data comprises:
generating first-type reconciliation result data if the transaction amount corresponding to the order transaction flow data is larger than the transaction amount corresponding to the order transaction data, wherein the first-type reconciliation result data is reconciliation result data for representing a state to be checked;
and if the transaction amount corresponding to the order transaction flow data is smaller than the transaction amount corresponding to the order transaction data, carrying out order comparison processing on the order transaction data and the order transaction flow data within a preset time threshold, and if the transaction amount corresponding to the order transaction data is smaller than the transaction amount corresponding to the order transaction flow data within the preset time threshold, generating second-type reconciliation result data, wherein the second-type reconciliation result data is reconciliation result data for representing a state to be collected.
5. The data processing method according to claim 1, wherein performing a reconciliation process on the transaction flow data based on the order identification data, obtaining reconciliation result data comprises:
performing recognition processing based on the transaction type on the reconciliation request data to obtain reconciliation transaction request data, wherein the reconciliation transaction request data comprises first reconciliation transaction request data and second reconciliation transaction request data, the first reconciliation transaction request data is the reconciliation request data which is used for representing the correspondence of the first transaction type, and the second reconciliation transaction request data is the reconciliation request data which is used for representing the correspondence of the second transaction type;
performing reconciliation processing on the first reconciliation transaction request data based on a preset first reconciliation flow model to obtain first reconciliation result data, wherein the preset first reconciliation flow model is a reconciliation flow model for representing a collection order;
and performing reconciliation processing on the second reconciliation transaction request data based on a preset second reconciliation flow model to obtain second reconciliation result data, wherein the preset second reconciliation flow model is a reconciliation flow model for representing payment orders.
6. The data processing method according to claim 1, wherein outputting the accounting hint data includes:
performing recognition processing based on service characteristics on the reconciliation request data to obtain order service characteristic data, wherein the order service characteristic data is characteristic data for representing a service corresponding to a transaction order;
matching corresponding service prompt nodes according to the order service characteristics to obtain reconciliation service prompt node data, wherein the reconciliation service prompt node data is prompt node data which is used for representing corresponding service of a transaction order;
and determining a prompt output end according to the reconciliation service prompt node data, and outputting the reconciliation prompt data to the prompt output end.
7. A data processing apparatus for reconciliation management, for use in an enterprise business system for implementing reconciliation management, the data processing apparatus comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring reconciliation request data, wherein the reconciliation request data is data for representing business transactions of enterprises;
the identification and identification module is used for carrying out identification processing based on order identification on the reconciliation request data to obtain order identification data, wherein the order identification data is identification data used for representing business transaction orders of enterprises;
the running water pulling module is used for carrying out order pulling processing based on bank-enterprise direct connection on the reconciliation request data to obtain transaction running water data, wherein the transaction running water data is data for representing enterprise transaction running water;
and the reconciliation module is used for performing reconciliation processing on the transaction flow data based on the order identification data to obtain reconciliation result data and outputting reconciliation prompt data, wherein the reconciliation prompt data comprises the reconciliation result data.
8. The data processing apparatus of claim 7, wherein the reconciliation module comprises:
the running water identification module is used for carrying out identification processing based on the order identification on the transaction running water data to obtain order transaction running water data, wherein the order transaction running water data is transaction running water data which is used for representing correspondence of the order identification;
the order identification module is used for carrying out identification processing based on preset order information on the reconciliation request data to obtain order transaction data, wherein the order transaction data is data for representing business transaction of enterprises;
and the account checking comparison module is used for comparing the order transaction running water data with the order transaction data to obtain the account checking result data and outputting the account checking prompt data.
9. A computer-readable storage medium storing computer instructions for causing the computer to execute the data processing method for reconciliation management of any one of claims 1-6.
10. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to cause the at least one processor to perform the data processing method for reconciliation management of any of claims 1-6.
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| CN117437076A (en) * | 2023-12-19 | 2024-01-23 | 太平金融科技服务（上海）有限公司 | Account checking method, device, equipment and medium based on account checking code |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117437076A (en) * | 2023-12-19 | 2024-01-23 | 太平金融科技服务（上海）有限公司 | Account checking method, device, equipment and medium based on account checking code |
| CN117437076B (en) * | 2023-12-19 | 2024-03-19 | 太平金融科技服务（上海）有限公司 | Account checking method, device, equipment and medium based on account checking code |
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