CN112925810B - Data processing method and device for checking account - Google Patents
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Abstract
The application discloses a data processing method and device for checking accounts. The method comprises the following steps: after the checking requirement is identified, first checking data in a business system corresponding to the checking requirement is obtained, the checking data is converted based on a preset data conversion rule to obtain second checking data, checking processing is carried out on the second checking data to obtain checking result data, and checking accuracy and timeliness are achieved through a series of complete and standard processes of checking data analysis, restoration, checking and the like, so that the standardization degree of checking data processing is improved.
Description
Technical Field
The application relates to the field of reconciliation, in particular to a data processing method and device for reconciliation.
Background
In the prior art, the account checking is mainly aimed at the account checking of small data volume, the scene of solving the problem is single, the participation of service personnel is needed in the data processing process of the account checking service, the account checking data of large data volume is difficult to process, the problem of nonstandard account checking data processing exists, the account checking data processing accuracy and timeliness are low, and therefore the technical problem of low standardization degree exists in the existing account checking data processing process.
Content of the application
The application mainly aims to provide a data processing method and device for reconciliation, so as to improve the standardization degree of reconciliation data processing.
In order to achieve the above object, the present application proposes a data processing method for reconciliation,
In a second aspect of the invention, a data processing apparatus for reconciliation is also presented,
In a third aspect of the present invention, a computer-readable storage medium is also presented.
In view of this, according to a first aspect of the present invention, there is provided a data processing method for reconciliation, comprising: when a reconciliation requirement is identified, first to-be-reconciled data are obtained, wherein the first to-be-reconciled data are front-end data and back-end data which are different in a business system for performing reconciliation; based on a preset data conversion rule, performing data conversion processing on the first to-be-reconciled data to obtain second to-be-reconciled data; based on a preset reconciliation rule, performing reconciliation processing on the second to-be-reconciled data to obtain reconciliation result data; and outputting the reconciliation result data.
Further, based on a preset data conversion rule, performing data conversion processing on the first to-be-reconciled data to obtain second to-be-reconciled data, including: identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data; based on the data structure type of the first data to be checked, matching a preset data conversion rule corresponding to the first data structure type to be checked; and executing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data, wherein the preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data.
Further, based on a preset reconciliation rule, performing a reconciliation process on the second to-be-reconciled data to obtain reconciliation result data, including: analyzing the second to-be-reconciled data to obtain analysis data; based on the analysis data, performing data repair on the second to-be-reconciled data to obtain repair data; and outputting the reconciliation result data, the reconciliation result data comprising: the analysis data and the repair data.
Further, when the reconciliation requirement is identified, obtaining first reconciliation data includes: identifying the reconciliation requirement, and determining the business system corresponding to the reconciliation requirement; and acquiring front-end data and back-end data with differences in the service system, and acquiring the first data to be reconciled.
Further, outputting the reconciliation result data includes: executing rechecking operation on the checking result data, and outputting checking completion prompt information and the checking result data if rechecking passes; if the check fails, outputting checking failure data, wherein the checking failure data comprises failure prompt information and failure reasons.
A second aspect of the present application proposes a data processing apparatus for reconciliation, 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 first to-be-checked data when the checking requirement is identified, wherein the first to-be-checked data is front-end data and back-end data which have differences in a business system for checking; the data conversion module is used for executing data conversion processing on the first to-be-reconciled data based on a preset data conversion rule to obtain second to-be-reconciled data; the reconciliation module is used for performing reconciliation processing on the second to-be-reconciled data based on a preset reconciliation rule to obtain reconciliation result data; and the output module is used for outputting the account checking result data.
Further, the data conversion module performs data conversion processing on the first to-be-reconciled data based on a preset data conversion rule to obtain second to-be-reconciled data, including: identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data; based on the data structure type of the first data to be checked, matching a preset data conversion rule corresponding to the first data structure type to be checked; and executing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data, wherein the preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data.
Further, the reconciliation module comprises: the data analysis module is used for analyzing the second data to be reconciled to obtain analysis data; the data restoration module is used for performing data restoration on the second to-be-reconciled data based on the analysis data to obtain restoration data; and a reconciliation result output module for outputting the reconciliation result data, the reconciliation result data comprising: the analysis data and the repair data.
Further, the data obtaining module is configured to obtain, when the reconciliation requirement is identified, first reconciliation data to be reconciled, including: identifying the reconciliation requirement, and determining the business system corresponding to the reconciliation requirement; and acquiring front-end data and back-end data with differences in the service system, and acquiring the first data to be reconciled.
In a third aspect the application proposes a computer-readable storage medium on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of a data processing method for reconciliation as described above.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
In the application, after the checking requirement is identified, first checking data in a business system corresponding to the checking requirement is obtained, the checking data is converted based on a preset data conversion rule to obtain second checking data, the second checking data is subjected to data analysis to obtain analysis data, namely, the problem data and the reason formed by the problem data in the second checking data are obtained, based on the analysis data, the data restoration is performed on the second checking data in combination with a preset data restoration rule to obtain restoration data, checking result data is obtained, the analysis data and the restoration data are included, checking is performed on the checking data, and if checking is passed, the checking result data is output. Through a series of complete and standard processes such as analysis, repair and rechecking of the reconciliation data, the accuracy and timeliness of the reconciliation are realized, and the standardization degree of the reconciliation data processing is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this specification. The drawings and their description are illustrative of the application and are not to be construed as unduly limiting the application. In the drawings:
FIG. 1 is a schematic flow chart of a data processing method for reconciliation provided by the application;
FIG. 2 is a schematic flow chart of a data processing method for reconciliation according to the application;
FIG. 3 is a schematic flow chart of a data processing method for reconciliation according to the application;
FIG. 4 is a schematic diagram of a data processing apparatus for reconciliation according to the application;
Fig. 5 is a schematic structural diagram of another data processing apparatus for reconciliation according to the application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which 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 those skilled in the art based on the embodiments of the present application 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 the 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 application 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 only used to better describe the present application and its embodiments and are not intended to limit the scope of the indicated devices, elements or components to the particular orientations or to configure and operate in the particular orientations.
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 the present application will be understood by those of ordinary skill in the art according to the specific circumstances.
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 above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
In order to solve the problem that the front end data and the back end data in the business system are inconsistent, the application provides a data processing method for checking accounts.
Fig. 1 is a flow chart of a data processing method for checking account, as shown in fig. 1, the method includes the following steps:
S101: when the reconciliation requirement is identified, acquiring first data to be reconciled;
The first data to be checked out is front-end data and back-end data which have differences in a business system which needs to be checked out.
The reconciliation requirement includes: under the condition that the difference exists between front-end data and back-end data in the service system, the reconciliation requirement generated by the service system and the reconciliation requirement proposed by service personnel.
For a business system needing to perform reconciliation, the embodiment of the application can acquire first data to be reconciled from big data or an ADB database.
S102: based on a preset data conversion rule, performing data conversion processing on the first to-be-reconciled data to obtain second to-be-reconciled data;
fig. 2 shows a flow chart of the data conversion process of the first to-be-reconciled data, as shown in fig. 2,
S201: identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data;
The first to-be-reconciled data is obtained from a business system needing to be reconciled, and the data structure of the first to-be-reconciled data corresponds to the system data structure of the business system needing to be reconciled.
S202: based on the data structure type of the first data to be checked, matching a preset data conversion rule corresponding to the first data structure type to be checked;
And matching a preset data conversion rule corresponding to the system data structure of the business system needing to be checked based on the system data structure requirement of the business system needing to be checked corresponding to the first data structure needing to be checked.
S203: and executing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data.
The preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data.
S103: based on a preset reconciliation rule, performing reconciliation processing on the second to-be-reconciled data to obtain reconciliation result data;
Fig. 3 shows a flow diagram of the reconciliation process for the second reconciliation data, as shown in fig. 3,
S301: analyzing the second to-be-reconciled data to obtain analysis data;
Carrying out link analysis on the second data to be checked, and determining information such as data nodes, data stream and the like of the second data to be checked, which have differences; analyzing the second reconciliation data based on the data node and the data stream, determining reason data for the difference generated by the second reconciliation data, wherein the analysis data comprises: the data node streams data and the reason data.
S302: based on the analysis data, performing data repair on the second to-be-reconciled data to obtain repair data;
Based on the analysis data, matching a preset data restoration scheme corresponding to the second to-be-reconciled data, identifying a data restoration step in the preset data restoration scheme, and based on the data restoration step, executing data restoration on the second to-be-reconciled data to obtain the restoration data, wherein the restoration data comprises: if the data restoration is successful, outputting second to-be-reconciled data after the data restoration is completed; if the data repair fails, outputting data repair failure prompt data and repair failure reason data.
S303: outputting the reconciliation result data, the reconciliation result data comprising: the analysis data and the repair data.
S104: and outputting the reconciliation result data.
Executing rechecking operation on the checking result data, and outputting checking completion prompt information and the checking result data if rechecking passes;
if the check fails, outputting checking failure data, wherein the checking failure data comprises failure prompt information and failure reasons.
And by executing rechecking operation on the checking result data, the accuracy of data restoration in the checking process is ensured, and the checking accuracy is improved.
Fig. 4 is a schematic structural diagram of a data processing device for checking account according to the present application, as shown in fig. 4,
The data obtaining module 41 is configured to obtain first to-be-checked data when a checking requirement is identified, where the first to-be-checked data is front-end data and back-end data that have a difference in a service system that needs to perform checking;
The data conversion module 42 performs data conversion processing on the first to-be-reconciled data based on a preset data conversion rule to obtain second to-be-reconciled data;
Identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data;
based on the data structure type of the first data to be checked, matching a preset data conversion rule corresponding to the first data structure type to be checked;
And executing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data, wherein the preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data.
The reconciliation module 43 performs reconciliation processing on the second data to be reconciled based on a preset reconciliation rule, and obtains reconciliation result data;
and an output module 44, configured to output the reconciliation result data.
Fig. 5 is a schematic structural diagram of a data processing device for checking accounts according to the present application, and as shown in fig. 5,
The data analysis module 51 is configured to analyze the second data to be reconciled to obtain analysis data;
the data repair module 52 performs data repair on the second to-be-reconciled data based on the analysis data, obtaining the repair data; and
A reconciliation result output module 53, configured to output the reconciliation result data, where the reconciliation result data includes: the analysis data and the repair 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, after a reconciliation requirement is identified, first to-be-reconciled data in a service system corresponding to the reconciliation requirement is obtained, based on a preset data conversion rule, the reconciliation data is converted to obtain second to-be-reconciled data, data analysis is performed on the second to-be-reconciled data to obtain analysis data, that is, the cause of formation of problem data and problem data in the second to-be-reconciled data is obtained, based on the analysis data, a preset data repair rule is combined, data repair is performed on the second to-be-reconciled data to obtain repair data, to obtain reconciliation result data including the analysis data and the repair data, and if the reconciliation result data passes, the reconciliation result data is output. Through a series of complete and standard processes such as analysis, repair and rechecking of the reconciliation data, the accuracy and timeliness of the reconciliation are realized, and the standardization degree of the reconciliation data processing is improved.
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, so 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 above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. A data processing method for reconciliation, comprising:
When a reconciliation requirement is identified, first to-be-reconciled data are obtained, wherein the first to-be-reconciled data are front-end data and back-end data which are different in a business system for performing reconciliation;
Based on a preset data conversion rule, performing data conversion processing on the first to-be-reconciled data to obtain second to-be-reconciled data;
based on a preset reconciliation rule, performing reconciliation processing on the second to-be-reconciled data to obtain reconciliation result data; and
Outputting the account checking result data;
Based on a preset data conversion rule, performing data conversion processing on the first to-be-reconciled data to obtain second to-be-reconciled data, including:
Identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data;
based on the data structure type of the first to-be-checked data, matching a preset data conversion rule corresponding to the data structure type of the first to-be-checked data;
Performing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data, wherein the preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data;
executing the reconciliation processing on the second to-be-reconciled data to obtain reconciliation result data, including:
Analyzing the second to-be-reconciled data to obtain analysis data;
based on the analysis data, performing data repair on the second to-be-reconciled data to obtain repair data; and
Outputting the reconciliation result data, the reconciliation result data comprising: the analysis data and the repair data;
Analyzing the second to-be-reconciled data to obtain analysis data, including: performing link analysis on the second data to be checked, and determining data nodes and data running water with differences of the second data to be checked; analyzing the second reconciliation data based on the data nodes and the data stream, and determining reason data of differences generated by the second reconciliation data;
Based on the analysis data, performing data repair on the second to-be-reconciled data to obtain the repair data, including: and based on the analysis data, matching a preset data restoration scheme corresponding to the second data to be reconciled, identifying a data restoration step in the preset data restoration scheme, and based on the data restoration step, executing data restoration on the second data to be reconciled to obtain the restoration data.
2. The data processing method according to claim 1, wherein, when the reconciliation requirement is identified, acquiring the first data to be reconciled comprises:
identifying the reconciliation requirement, and determining the business system corresponding to the reconciliation requirement;
And acquiring front-end data and back-end data with differences in the service system, and acquiring the first data to be reconciled.
3. The data processing method according to claim 1, wherein outputting the reconciliation result data comprises:
Executing rechecking operation on the checking result data, and outputting checking completion prompt information and the checking result data if rechecking passes;
if the check fails, outputting checking failure data, wherein the checking failure data comprises failure prompt information and failure reasons.
4. A data processing apparatus for reconciliation, 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 first to-be-checked data when the checking requirement is identified, wherein the first to-be-checked data is front-end data and back-end data which have differences in a business system for checking;
The data conversion module is used for executing data conversion processing on the first to-be-reconciled data based on a preset data conversion rule to obtain second to-be-reconciled data;
the reconciliation module is used for performing reconciliation processing on the second to-be-reconciled data based on a preset reconciliation rule to obtain reconciliation result data;
The output module is used for outputting the account checking result data;
The data conversion module performs data conversion processing on the first to-be-reconciled data based on a preset data conversion rule to obtain second to-be-reconciled data, and the data conversion module comprises:
Identifying the first to-be-checked-out data, and determining the data structure type of the first to-be-checked-out data;
based on the data structure type of the first to-be-checked data, matching a preset data conversion rule corresponding to the data structure type of the first to-be-checked data;
Performing data conversion processing on the first to-be-reconciled data based on the preset data conversion rule to obtain the second to-be-reconciled data, wherein the preset data conversion rule at least comprises a mapping rule of the first to-be-reconciled data and the second to-be-reconciled data;
a reconciliation module comprising:
the data analysis module is used for analyzing the second data to be reconciled to obtain analysis data;
the data restoration module is used for performing data restoration on the second to-be-reconciled data based on the analysis data to obtain restoration data; and
The reconciliation result output module is used for outputting the reconciliation result data, and the reconciliation result data comprises: the analysis data and the repair data;
Analyzing the second to-be-reconciled data to obtain analysis data, including: performing link analysis on the second data to be checked, and determining data nodes and data running water with differences of the second data to be checked; analyzing the second reconciliation data based on the data nodes and the data stream, and determining reason data of differences generated by the second reconciliation data;
Based on the analysis data, performing data repair on the second to-be-reconciled data to obtain the repair data, including: and based on the analysis data, matching a preset data restoration scheme corresponding to the second data to be reconciled, identifying a data restoration step in the preset data restoration scheme, and based on the data restoration step, executing data restoration on the second data to be reconciled to obtain the restoration data.
5. The data processing apparatus of claim 4, wherein the data acquisition module, configured to acquire the first data to be reconciled when the reconciliation requirement is identified, comprises:
identifying the reconciliation requirement, and determining the business system corresponding to the reconciliation requirement;
And acquiring front-end data and back-end data with differences in the service system, and acquiring the first data to be reconciled.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the data processing method for reconciliation of claims 1 to 3.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109598602A (en) * | 2017-09-28 | 2019-04-09 | 平安普惠企业管理有限公司 | Account checking method, device, equipment and computer readable storage medium |
| CN112102055A (en) * | 2020-09-09 | 2020-12-18 | 深圳乐信软件技术有限公司 | Data real-time account checking method and device, server and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109598602A (en) * | 2017-09-28 | 2019-04-09 | 平安普惠企业管理有限公司 | Account checking method, device, equipment and computer readable storage medium |
| CN112102055A (en) * | 2020-09-09 | 2020-12-18 | 深圳乐信软件技术有限公司 | Data real-time account checking method and device, server and storage medium |
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