Asset data management method, system, device, equipment and medium
Through data burying and integration technology, the problem of irregular bank asset data management is solved, and the unified management of bank asset projects is realized, resource consumption is reduced and stability is improved.
Patent Information
- Application Number
- CN202411113651.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-14
- Publication Date
- 2024-12-10
AI Technical Summary
During the business and technology reconstruction of the banking industry, the data management of bank assets is not standardized, resulting in the problem of wasted management resources and inconsistent management.
By obtaining the data burying strategy of the bank asset project collection, burying it data, collecting candidate asset data, and integrating and visualizing it to form a target asset data set to achieve unified asset data management.
The asset data collection method has been optimized, unified data management of multiple bank asset projects has been realized, management resource consumption has been reduced, and operational stability of bank asset projects has been improved.
Smart Images
Figure CN119107165A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of big data technology, and in particular to an asset data management method, system, device, equipment and medium. Background Art
[0002] The development of the banking industry is generally accompanied by multiple rounds of business and technological reconstruction. In this scenario, bank assets may experience data irregularities as they undergo multiple rounds of business and technological reconstruction. In this scenario, data management of bank assets is required.
[0003] In the related art, different types of bank assets can use different methods for data management, and the management methods are not unified, resulting in a certain degree of waste of management resources. Summary of the invention
[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.
[0005] To this end, the first aspect of the present disclosure proposes an asset data management method.
[0006] A second aspect of the present disclosure proposes an asset data management system.
[0007] A third aspect of the present disclosure provides an asset data management device.
[0008] A fourth aspect of the present disclosure provides an electronic device.
[0009] A fifth aspect of the present disclosure provides a non-transitory computer-readable storage medium.
[0010] A sixth aspect of the present disclosure provides a computer program product.
[0011] To achieve the above-mentioned purpose, the first aspect of the present disclosure proposes an asset data management method, including: obtaining a first bank asset item set, and obtaining a data burying strategy for each first bank asset item in the first bank asset item set; according to the data burying strategy, performing data burying on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after burying; based on the data burying, performing data collection on each second bank asset item in the second bank asset item set to obtain candidate asset data of each second bank asset item; integrating the candidate asset data of each second bank asset item to obtain a target asset data set; and visualizing the target asset data set to perform asset data management on each second bank asset item.
[0012] According to an embodiment of the present disclosure, data embedding is performed on each first bank asset item in the first bank asset item set according to the data embedding strategy to obtain a second bank asset item set after embedding, including: for any first bank asset item, obtaining the data embedding method and data embedding position of the first bank asset item from the data embedding strategy of the first bank asset item; at the data embedding position corresponding to the first bank asset item, data embedding is performed on the first bank asset item based on the data embedding method to obtain the second bank asset item after embedding; and the second bank asset item set is obtained according to the second bank asset items after each embedding of the first bank asset item set.
[0013] According to an embodiment of the present disclosure, based on the data embedding, data is collected for each second bank asset item in the second bank asset item set to obtain candidate asset data for each second bank asset item, including: for any second bank asset item, obtaining the data collection trigger condition set when the second bank asset item is subjected to data embedding; in response to the second bank asset item triggering the data collection trigger condition, obtaining the candidate asset data of the second bank asset item.
[0014] According to an embodiment of the present disclosure, the candidate asset data of each second bank asset item is integrated to obtain a target asset data set, including: dividing the second bank asset item set into processes to obtain multiple third bank asset item sets after division, wherein, for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process; obtaining an initial asset flow chart of each third bank asset item set in the multiple third bank asset item sets; for any third bank asset item set, obtaining candidate asset data of each third bank asset item in the third bank asset item set, and integrating each candidate asset data into the initial asset flow chart to obtain an integrated candidate asset flow chart; integrating the candidate asset flow charts of each third bank asset item set to obtain the integrated target asset data set.
[0015] According to one embodiment of the present disclosure, the target asset data set is visualized to perform asset data management on each second bank asset item, including: visualizing the target asset data set to obtain a target asset data management dashboard; identifying whether there is abnormal asset data in the target asset data set through the target asset data management dashboard; in response to identifying the presence of the abnormal asset data in the target asset data set through the target asset data management dashboard, obtaining a fourth bank asset item corresponding to the abnormal asset data, and performing abnormal processing on the fourth bank asset item.
[0016] To achieve the above-mentioned purpose, the second party of the present disclosure proposes an asset data management system, including: a data embedding component, a data collection component, a data processing component and a visualization component, wherein the data embedding component is used to perform data embedding on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding; the data collection component is used to perform data collection on each second bank asset item in the second bank asset item set based on the data embedding to obtain candidate asset data of each second bank asset item; the data processing component is used to integrate the candidate asset data of each second bank asset item to obtain a target asset data set; the visualization component is used to perform visualization processing on the target asset data set to perform asset data management on each second bank asset item.
[0017] To achieve the above-mentioned purpose, the third party of the present disclosure has proposed an asset data management device, comprising: an acquisition module, used to acquire a first bank asset item set, and acquire a data burying strategy for each first bank asset item in the first bank asset item set; a burying module, used to perform data burying on each first bank asset item in the first bank asset item set according to the data burying strategy, and obtain a second bank asset item set after burying; a collection module, used to perform data collection on each second bank asset item in the second bank asset item set based on the data burying, and obtain candidate asset data of each second bank asset item; an integration module, used to integrate the candidate asset data of each second bank asset item, and obtain a target asset data set; a management module, used to visualize the target asset data set to perform asset data management on each second bank asset item.
[0018] According to an embodiment of the present disclosure, the data burying module also includes: for any first bank asset item, obtaining the data burying method and data burying position of the first bank asset item from the data burying strategy of the first bank asset item; at the data burying position corresponding to the first bank asset item, performing data burying on the first bank asset item based on the data burying method to obtain the second bank asset item after burying; and obtaining the second bank asset item set according to the second bank asset items after each burying of the first bank asset item set.
[0019] According to one embodiment of the present disclosure, the collection module also includes: for any second bank asset item, obtaining the data collection trigger condition set when the second bank asset item performs data embedding; in response to the second bank asset item triggering the data collection trigger condition, obtaining the candidate asset data of the second bank asset item.
[0020] According to one embodiment of the present disclosure, the integration module further includes: performing process division on the second bank asset item set to obtain multiple third bank asset item sets after division, wherein, for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process; obtaining an initial asset flow chart of each third bank asset item set in the multiple third bank asset item sets; for any third bank asset item set, obtaining candidate asset data of each third bank asset item in the third bank asset item set, and integrating each candidate asset data into the initial asset flow chart to obtain an integrated candidate asset flow chart; integrating the candidate asset flow charts of each third bank asset item set to obtain the integrated target asset data set.
[0021] According to one embodiment of the present disclosure, the management module further includes: visualizing the target asset data set to obtain a target asset data management dashboard; identifying whether there is abnormal asset data in the target asset data set through the target asset data management dashboard; in response to identifying the presence of the abnormal asset data in the target asset data set through the target asset data management dashboard, obtaining a fourth bank asset item corresponding to the abnormal asset data, and performing abnormal processing on the fourth bank asset item.
[0022] To achieve the above-mentioned purpose, the fourth aspect of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the asset data management method as described in the first aspect of the present disclosure.
[0023] To achieve the above-mentioned purpose, the fifth aspect of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the asset data management method as described in the first aspect of the present disclosure.
[0024] To achieve the above-mentioned purpose, the sixth aspect of the present disclosure proposes a computer program product, including a computer program, which, when executed by a processor, is used to implement the asset data management method as described in the first aspect of the present disclosure.
[0025] The asset data management method, system and device proposed in the present disclosure respectively perform data embedding on each first bank asset project in the first bank asset project set to obtain a second bank asset project set, obtain candidate asset data of each second bank asset project through data embedding, and then integrate each candidate asset data to obtain a target asset data set, and further, visualize the target asset data set to perform asset data management on each second bank asset project. In the present disclosure, the candidate asset data of each of the multiple bank asset projects is collected by data embedding, the asset data collection method is optimized, and the unified asset data management of the multiple bank asset projects is realized through the target asset data set. Compared with the related art in which multiple bank asset projects use different methods for data management, the consumption of management resources for asset data management is reduced, the management method and management effect of the asset data of the bank asset project are optimized, and the stability of the operation of the bank asset project is improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1 A flowchart of an asset data management method according to an embodiment of the present disclosure;
[0027] Figure 2 A schematic diagram of a second bank asset item set according to an embodiment of the present disclosure;
[0028] Figure 3 A flowchart of an asset data management method according to another embodiment of the present disclosure;
[0029] Figure 4 A flowchart of an asset data management method according to another embodiment of the present disclosure;
[0030] Figure 5 A schematic diagram of an asset data management system according to an embodiment of the present disclosure;
[0031] Figure 6 A schematic diagram of an asset data management device according to an embodiment of the present disclosure;
[0032] Figure 7 FIG. 4 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0033] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.
[0034] It should be noted that the acquisition, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of laws and regulations.
[0035] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards.
[0036] It should be noted that in the embodiments of the present disclosure, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present disclosure, but it does not mean that the applicant has or will necessarily use the solution.
[0037] Figure 1 FIG. 1 is a flow chart of an asset data management method according to an embodiment of the present disclosure. Figure 1 As shown, the method includes:
[0038] S101, obtaining a first bank asset item set, and obtaining a data embedding strategy for each first bank asset item in the first bank asset item set.
[0039] In the disclosed embodiment, the bank's assets may include data assets and transaction assets.
[0040] Among them, transaction assets can be understood as transaction-related assets formed in the process of banks providing financial services to customers in the form of transactions, which may include bank transaction codes, error codes, transaction lines, etc. Data assets can be understood as business data accumulated in the process of banks providing financial services to customers, and each data asset formed in a structured manner, which may include data models, data interfaces, data items, etc.
[0041] In this scenario, the bank's data assets and transaction assets may be marked as first bank asset items, thereby obtaining a first bank asset item set consisting of multiple first bank asset items.
[0042] Optionally, data collection may be performed on each first bank asset item in the first bank asset item set in a preset data collection manner, and then asset data management of each first bank asset item is implemented through the collected data.
[0043] Among them, the collected data of each first bank's asset project can be obtained through data burying. In this scenario, the strategy adopted when conducting data burying for each first bank's asset project can be marked as the data burying strategy for each first bank's asset project.
[0044] It should be noted that the data tracking strategy can be pre-set based on the data tracking strategy formulation method in the relevant technology, and no specific limitation is made here.
[0045] S102, according to the data embedding strategy, data embedding is performed on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding.
[0046] In the disclosed embodiment, for any first bank asset project, the data embedding strategy of the first bank asset project can be used to obtain the relevant specific information required for data embedding of the first bank asset project, and then the data embedding of the first bank asset project can be implemented based on the specific information.
[0047] Optionally, for any first bank asset item, data embedding processing can be performed on the first bank asset item based on the data embedding strategy of the first bank asset item using the data embedding processing method in the relevant technology, so as to obtain the first bank asset item after data embedding, and mark it as the second bank asset item obtained after data embedding of the first bank asset item.
[0048] Furthermore, the set of second bank asset items is marked as a second bank asset item set.
[0049] S103, based on data embedding, data collection is performed on each second bank asset item in the second bank asset item set to obtain candidate asset data of each second bank asset item.
[0050] In the disclosed embodiment, when data is collected for each first bank asset item respectively, the data collection time and the type of data collected will be set for each first bank asset item. In this scenario, data can be collected for each second bank asset item using the preset data collection time and the preset data collection type.
[0051] The data collected for each second bank asset item may be marked as candidate asset data for each second bank asset item.
[0052] S104, integrating the candidate asset data of each second bank's asset item to obtain a target asset data set.
[0053] In the disclosed embodiment, the candidate asset data of each second bank's asset item may be integrated based on a preset data integration algorithm, and the data set obtained after the integration may be marked as a target asset data set.
[0054] Optionally, the second bank asset items may be grouped based on a preset grouping method, and the candidate asset data of at least one second bank asset item included in each group may be integrated to obtain an asset data set for each group, thereby obtaining a target asset data set.
[0055] As an example, Figure 2 As shown, Figure 2 The second bank asset item set shown includes C' model entity 1 and C' model indicator 1 as the second bank asset item in the modeling configuration group, C' model entity 2 and C' model indicator 2, transaction code, error code, data exchange interface and transaction call relationship as the second bank asset item in the design configuration group, D model entity 1, D model indicator 1, transaction code table 1, message code file, error code table 1 and code file as the second bank asset item in the development configuration group, test message log, test error log and test transaction link message log 1 as the second bank asset item in the test configuration group, and D model entity 2, D model indicator 2, transaction code table 2, error code table 2, production data message log, production data error log and test transaction link message log 2 as the second bank asset item in the production configuration group.
[0056] Among them, taking the C' model entity 1 and C' model indicator 1 as the second bank asset item in the modeling configuration group, and the C' model entity 2 and C' model indicator 2 as the second bank asset item in the design configuration group, the transaction code, the error code, the data exchange interface and the transaction call relationship as an example, in this example, the candidate asset data of C' model entity 1 and C' model indicator 1 in the modeling configuration group can be integrated to obtain the asset data set of the modeling configuration group, and the candidate asset data of C' model entity 2 and C' model indicator 2, the transaction code, the error code, the data exchange interface and the transaction call relationship in the design configuration group can be integrated to obtain the asset data set of the design configuration group.
[0057] Furthermore, the asset data set of the modeling configuration group and the asset data set of the DMP design configuration group are further integrated to obtain an integrated target asset data set.
[0058] S105, visualizing the target asset data set to perform asset data management on each asset item of the second bank.
[0059] In the disclosed embodiment, in order to implement asset data management of each second bank's asset items, the target asset data set may be visualized.
[0060] Among them, the target asset data set can be processed algorithmically based on the visualization processing algorithm in the relevant technology, and then the target asset data set can be visualized according to the result of the algorithm processing.
[0061] Optionally, the target asset data set may be visualized on a preset display device, thereby realizing visualization of the target asset data set on the display device, and further realizing asset data management of each second bank asset item on the display device.
[0062] It should be noted that the asset data management of each second bank's asset project may include the identification management of whether there are any data anomalies in the asset data of each second bank's asset project, may also include the responsibility information management of each second bank's asset project, may also include the project progress information management of each second bank's asset project, etc., which are not specifically limited here.
[0063] The asset data management method proposed in the present disclosure performs data embedding on each first bank asset project in the first bank asset project set to obtain a second bank asset project set, obtains candidate asset data of each second bank asset project through data embedding, and then integrates each candidate asset data to obtain a target asset data set, and further, visualizes the target asset data set to perform asset data management on each second bank asset project. In the present disclosure, the candidate asset data of each of the multiple bank asset projects is collected by data embedding, the asset data collection method is optimized, and the unified asset data management of the multiple bank asset projects is realized through the target asset data set. Compared with the related art in which multiple bank asset projects use different methods for data management, the consumption of management resources for asset data management is reduced, the management method and management effect of the asset data of the bank asset project are optimized, and the stability of the operation of the bank asset project is improved.
[0064] In the above embodiment, the acquisition of the second bank asset item set can be combined with Figure 3 Further understanding, Figure 3 FIG. 1 is a flow chart of an asset data management method according to another embodiment of the present disclosure. Figure 3 As shown, the method includes:
[0065] S301, for any first bank asset item, obtain the data burying method and data burying location of the first bank asset item from the data burying strategy of the first bank asset item.
[0066] In the disclosed embodiment, for any first bank asset project, the data embedding strategy of the first bank asset project includes the data embedding method adopted by the first bank asset project when performing data embedding, and may also include the data embedding location adopted by the first bank asset project when performing data embedding, and may also include the data collection strategy of the first bank asset project set when performing data embedding, which is not specifically limited here.
[0067] The data tracking method may be a code tracking method or a visual tracking method, which is not specifically limited here.
[0068] In this scenario, the relevant data burying methods and the locations used for data burying can be obtained from the data burying strategy of the First Bank's asset project, and marked as the data burying methods and data burying locations in the data burying strategy respectively.
[0069] S302, at the data embedding position corresponding to the first bank asset item, data embedding is performed on the first bank asset item based on the data embedding method to obtain the second bank asset item after embedding.
[0070] In the disclosed embodiment, for any first bank asset item, data embedding is performed on the first bank asset item according to the data embedding method and data embedding position obtained in the data embedding strategy of the first bank asset item to obtain a second bank asset item after embedding.
[0071] Among them, the corresponding data embedding code snippet can be obtained according to the data embedding method carried in the data embedding strategy, and the placement position of the data embedding code snippet used when performing data embedding on the first bank asset project can be determined according to the data embedding position carried in the data embedding strategy, and then the corresponding data embedding code snippet is placed at the position, thereby realizing data embedding on the first bank asset project and obtaining the second bank asset project after data embedding.
[0072] S303, obtaining a second bank asset item set according to the second bank asset items after the respective points of the first bank asset item set are buried.
[0073] In the disclosed embodiment, after obtaining the second bank asset items behind each of the first bank asset item sets, the set consisting of the second bank asset items in this part may be marked as the second bank asset item set.
[0074] Among them, the first bank asset items can be constructed according to the set construction method in the relevant technology, and then a set consisting of the second bank asset items can be obtained according to the construction process, and the set can be marked as the second bank asset item set.
[0075] The asset data management method proposed in the present invention collects candidate asset data of multiple bank asset projects by means of data embedding, optimizes the asset data collection method, and realizes unified asset data management of multiple bank asset projects through the target asset data set. Compared with the related art in which multiple bank asset projects use different methods for data management, the consumption of management resources for asset data management is reduced, the management method and management effect of asset data of bank asset projects are optimized, and the stability of the operation of bank asset projects is improved.
[0076] In the above embodiment, the asset data management of each second bank asset item can be combined with Figure 4 Further understanding, Figure 4 FIG. 1 is a flow chart of an asset data management method according to another embodiment of the present disclosure. Figure 4 As shown, the method includes:
[0077] S401, based on data burial points, data collection is performed on each second bank asset item in the second bank asset item set to obtain candidate asset data of each second bank asset item.
[0078] Optionally, for any second bank asset item, a data collection trigger condition set when the second bank asset item is performing data embedding is obtained, wherein, in response to the second bank asset item triggering the data collection trigger condition, candidate asset data of the second bank asset item is obtained.
[0079] In the disclosed embodiment, in the process of data embedding for the first bank asset project, the data embedding strategy carries relevant limiting conditions for specific data collection of the first bank asset project. This part of the relevant limiting conditions may include the triggering conditions for data collection for the first bank asset project, and this condition can be marked as the data collection triggering condition for the second bank asset project after data embedding.
[0080] It can be understood that when the second bank asset item meets the data collection trigger condition, data collection for the second bank asset item can be started, and the collected asset data of the second bank asset item can be marked as candidate asset data of the second bank asset item.
[0081] Among them, the data collection trigger condition can be the trigger time interval of data collection, which can be understood as, for any second bank asset item, if the time interval between the current time and the data collection time of the previous round matches the trigger time interval set in the data collection trigger condition, it can be determined that the second bank asset item meets the data collection trigger condition, and data collection for the second bank asset item can be started, thereby obtaining the candidate asset data of the second bank asset item.
[0082] In addition, the data collection trigger condition can also be the trigger data type of data collection. It can be understood that for any second bank asset item, if the asset data generated under the second bank asset item contains data of a type that matches the trigger data type preset in the data collection trigger condition, it can be determined that the second bank asset item meets the data collection trigger condition, and data collection for the second bank asset item can be started, thereby obtaining candidate asset data for the second bank asset item.
[0083] S402, integrating the candidate asset data of each second bank's asset item to obtain a target asset data set.
[0084] Optionally, the second bank asset item set is divided into processes to obtain a plurality of third bank asset item sets after division, wherein, for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process.
[0085] In the disclosed embodiment, the candidate asset data of each second bank asset item can be integrated according to the preset business process. It can be understood that, for any business process, each business node in the business process and the execution order of each business node can be obtained. In this scenario, the second bank asset item under each business node is obtained, and the candidate asset data of the second bank asset item under each business node is sorted and organized according to the execution order of each business node, and then the candidate asset data of each second bank asset item belonging to the business process is integrated to obtain an integrated data set under the business process.
[0086] In this scenario, the second bank asset items in the second bank asset items can be divided into processes according to the business processes in the preset business process set, and at least one second bank asset item belonging to the same business process can be divided into a set. Among them, for any business process, the set into which at least one second bank asset item belonging to the business process is divided can be marked as the third bank asset item set of the business process, and each item in the set can be marked as a point bank asset item belonging to the business process, thereby obtaining the third bank asset item sets of multiple business processes.
[0087] Optionally, an initial asset flow chart of each third bank asset item set among a plurality of third bank asset item sets is obtained.
[0088] In the disclosed embodiment, for any third asset item set, the business process corresponding to the third asset item set can be obtained, and the third asset items under each business node of the business process can be obtained from the third asset item set.
[0089] In this scenario, the node sequence between each business node in the business process can be obtained, and the third asset items under each business node can be processed by a flowchart construction algorithm based on the node sequence and the flowchart construction algorithm in the related technology. Then, based on the result of the algorithm processing, an asset flow chart composed of the third asset items under each business node is obtained, and the asset flow chart is marked as the initial asset flow chart of the third bank asset item set.
[0090] Optionally, for any third bank asset item set, candidate asset data of each third bank asset item in the third bank asset item set is obtained, and each candidate asset data is integrated into the initial asset flow chart to obtain an integrated candidate asset flow chart.
[0091] In the disclosed embodiment, for any third-bank asset item set, an initial asset flow chart corresponding to the third-bank asset item set can be obtained, and the candidate asset data of each third-bank asset can be integrated into the initial asset flow chart, and the integrated flow chart can be marked as the candidate asset flow chart of the third-bank asset item set.
[0092] Among them, for the candidate asset data of any third bank asset project, the node position of the third bank asset project can be obtained from the corresponding initial asset flow chart, and further, the candidate asset data can be integrated into the node position, thereby realizing the data integration of the candidate asset data into the initial asset flow chart, and then obtaining the integrated candidate asset flow chart.
[0093] Optionally, the candidate asset flow charts of the asset item sets of each third bank are integrated to obtain an integrated target asset data set.
[0094] In the disclosed embodiment, a preset integration strategy for the target asset data set may be obtained, and candidate asset flow charts of asset item sets of each third bank may be integrated according to the integration strategy, and the integrated data set may be marked as the target asset data set.
[0095] Optionally, a corresponding integration strategy can be set based on a preset integration order, and the candidate asset flow charts of each third bank asset project set can be sorted and organized according to the order, thereby integrating the candidate asset flow charts of each third bank asset project set to obtain the target asset data set.
[0096] Optionally, there may be overlapping nodes between the candidate asset flow charts. In this scenario, a corresponding integration strategy can be set based on the overlapping nodes. Based on the integration strategy, the candidate asset flow charts can be linked and integrated based on the overlapping nodes to obtain a total flow chart composed of the candidate asset flow charts, thereby realizing the integration of the candidate asset flow charts of the asset project sets of each third bank, thereby obtaining the integrated target asset data set.
[0097] S403, visualizing the target asset data set to perform asset data management on each asset item of the second bank.
[0098] Optionally, the target asset data set is visualized to obtain a target asset data management dashboard, and the target asset data management dashboard is used to identify whether there is abnormal asset data in the target asset data set.
[0099] In the embodiments of the present disclosure, in order to realize the visualization processing of the target asset data set, a related display device can be set up, wherein the target asset data set can be visualized according to the visualization processing algorithm in the related technology, and the visualized target asset data set can be displayed through the display device.
[0100] In this scenario, the display device displaying the visualized target asset data set may be marked as a target asset data management dashboard.
[0101] Optionally, asset data management of the target asset data set can be performed through the target asset data management dashboard. It can be understood that abnormal asset data can be identified through the target asset data management dashboard, and the progress of each bank's asset project can be monitored through the asset data of each bank's asset project displayed on the target asset data management dashboard. The work status of the staff of each bank's asset project can also be monitored through the asset data of each bank's asset project displayed on the target asset data management dashboard. Furthermore, asset data management of the bank's asset projects can be realized based on the above functions.
[0102] Among them, there are preset abnormal data identification conditions for the candidate asset data of each third-party bank asset project. In this scenario, for any third-party bank asset project, the candidate asset data of the third-party bank asset project can be compared with the abnormal data identification conditions corresponding to the data through the target asset data management dashboard, thereby realizing the abnormal identification of the candidate asset data through the target asset data management dashboard.
[0103] Optionally, in response to identifying the presence of abnormal asset data in the target asset data set through the target asset data management dashboard, a fourth bank asset item corresponding to the abnormal asset data is obtained, and abnormal processing is performed on the fourth bank asset item.
[0104] In the disclosed embodiment, when abnormal asset data is identified in the target asset data set through the target asset data management dashboard, the abnormal asset data may be marked as abnormal asset data in the target asset data set.
[0105] Furthermore, a third bank asset item corresponding to the abnormal asset data is obtained, and the third bank asset item is marked as a fourth bank asset item corresponding to the abnormal asset data.
[0106] Optionally, each third bank asset item has a preset exception handling strategy. In this scenario, the exception handling strategy corresponding to the fourth bank asset item can be obtained, and the fourth bank asset item can be handled based on the exception handling strategy.
[0107] The asset data management method proposed in the present invention collects candidate asset data of multiple bank asset projects by means of data embedding, optimizes the asset data collection method, and realizes unified asset data management of multiple bank asset projects through the target asset data set. Compared with the related art in which multiple bank asset projects use different methods for data management, the consumption of management resources for asset data management is reduced.
[0108] The present disclosure also proposes an asset data management system that can be combined with Figure 5 understand, Figure 5 FIG. 1 is a schematic diagram of an asset data management system according to an embodiment of the present disclosure. Figure 5 As shown, the asset data management system 500 includes a data embedding component 51, a data acquisition component 52, a data processing component 53 and a visualization component 54, wherein:
[0109] The data embedding component 51 is used to embed data on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding.
[0110] The data collection component 52 is used to collect data on each second bank asset item in the second bank asset item set based on data embedding points to obtain candidate asset data of each second bank asset item.
[0111] The data processing component 53 is used to integrate the candidate asset data of each second bank asset item to obtain a target asset data set.
[0112] The visualization component 54 is used to perform visualization processing on the target asset data set to perform asset data management on each second bank asset item.
[0113] In the disclosed embodiment, the bank asset items that require asset data management may be marked as first bank asset items, thereby obtaining a first bank asset item set consisting of a plurality of first bank asset items.
[0114] like Figure 5 As shown, the asset data management system 500 may include Figure 5 The data embedding component 51 is shown, wherein the data embedding component 51 can perform data embedding on each first bank asset item in the first bank asset item set, wherein the first bank asset item after the embedding processing can be marked as the second bank asset item corresponding to the first bank asset item.
[0115] like Figure 5 As shown, the asset data management system 500 also includes Figure 2 The data collection component 52 shown in the present disclosure embodiment needs to collect asset data for each second bank asset project through the data collection component 52 to obtain the asset data for each second bank asset project, wherein the asset data can be marked as candidate asset data for each second bank asset project.
[0116] Optionally, the data embedding component 51 sets corresponding data collection trigger conditions when performing data embedding, wherein, for any second bank asset item, when the second bank asset item meets the data collection trigger conditions set during data embedding, the data collection component 52 can perform data collection for the second bank asset item based on the data embedding, thereby obtaining candidate asset data for the second bank asset item.
[0117] like Figure 5 As shown, the asset data management system 500 also includes Figure 5 The data processing component 53 shown in the figure, in the embodiment of the present disclosure, can be used to integrate the candidate asset data of each second bank asset project, wherein the second bank asset project set can be divided into processes to obtain multiple third bank asset project sets, and a candidate asset flow chart of each third bank asset project set can be constructed, and then through Figure 5 The data processing component shown integrates the candidate asset flow charts to obtain an integrated target asset data set.
[0118] In the embodiment of the present disclosure, the asset data management system 500 also includes Figure 5A visualization component 54 is shown, wherein the target asset data set can be visualized through the visualization component 54, and the visualized target asset data set can be displayed through the visualization component 54, so as to obtain a target asset data management dashboard corresponding to the target asset data set, and then the asset data management of each second bank asset project can be realized through the target asset data management dashboard.
[0119] The asset data management system proposed in the present invention collects candidate asset data of multiple bank asset projects by means of data embedding, optimizes the asset data collection method, and realizes unified asset data management of multiple bank asset projects through the target asset data set. Compared with the related art in which multiple bank asset projects use different methods for data management, the consumption of management resources for asset data management is reduced, the management method and management effect of asset data of bank asset projects are optimized, and the stability of the operation of bank asset projects is improved.
[0120] Corresponding to the asset data management methods provided in the above-mentioned embodiments, an embodiment of the present disclosure also provides an asset data management device. Since the asset data management device provided in the embodiment of the present disclosure corresponds to the asset data management methods provided in the above-mentioned embodiments, the implementation methods of the above-mentioned asset data management methods are also applicable to the asset data management device provided in the embodiment of the present disclosure and will not be described in detail in the following embodiments.
[0121] Figure 6 FIG. 1 is a schematic diagram of an asset data management device according to an embodiment of the present disclosure. Figure 6 As shown, the asset data management device 600 includes an acquisition module 61, a tracking module 62, a collection module 63, an integration module 64 and a management module 65, wherein:
[0122] An acquisition module 61 is used to acquire a first bank asset item set and acquire a data embedding strategy for each first bank asset item in the first bank asset item set;
[0123] The data embedding module 62 is used to embed data on each first bank asset item in the first bank asset item set according to the data embedding strategy to obtain a second bank asset item set after embedding;
[0124] The collection module 63 is used to collect data on each second bank asset item in the second bank asset item set based on the data embedding point, and obtain candidate asset data of each second bank asset item;
[0125] An integration module 64 is used to integrate the candidate asset data of each second bank asset item to obtain a target asset data set;
[0126] The management module 65 is used to perform visual processing on the target asset data set to perform asset data management on each second bank asset item.
[0127] In the disclosed embodiment, the data embedding module 62 also includes: for any first bank asset item, obtaining the data embedding method and data embedding position of the first bank asset item from the data embedding strategy of the first bank asset item; at the data embedding position corresponding to the first bank asset item, performing data embedding on the first bank asset item based on the data embedding method to obtain the second bank asset item after embedding; and obtaining a second bank asset item set according to the second bank asset items after each embedding of the first bank asset item set.
[0128] In the disclosed embodiment, the collection module 63 also includes: for any second bank asset item, obtaining the data collection trigger condition set when the second bank asset item is performing data embedding; in response to the second bank asset item triggering the data collection trigger condition, obtaining the candidate asset data of the second bank asset item.
[0129] In the disclosed embodiment, the integration module 64 also includes: dividing the process of the second bank asset item set to obtain multiple third bank asset item sets after division, wherein, for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process; obtaining an initial asset flow chart of each third bank asset item set in the multiple third bank asset item sets; for any third bank asset item set, obtaining candidate asset data of each third bank asset item in the third bank asset item set, and integrating each candidate asset data into the initial asset flow chart to obtain an integrated candidate asset flow chart; integrating the candidate asset flow charts of each third bank asset item set to obtain an integrated target asset data set.
[0130] In the disclosed embodiment, the management module 65 also includes: visualizing the target asset data set to obtain a target asset data management dashboard; identifying whether there is abnormal asset data in the target asset data set through the target asset data management dashboard; in response to identifying the presence of abnormal asset data in the target asset data set through the target asset data management dashboard, obtaining a fourth bank asset item corresponding to the abnormal asset data, and performing abnormal processing on the fourth bank asset item.
[0131] The asset data management device proposed in the present disclosure performs data embedding on each first bank asset item in the first bank asset item set to obtain a second bank asset item set, obtains candidate asset data of each second bank asset item through data embedding, and then integrates each candidate asset data to obtain a target asset data set, and further, visualizes the target asset data set to perform asset data management on each second bank asset item. In the present disclosure, candidate asset data of each of multiple bank asset items is collected by data embedding, the asset data collection method is optimized, and unified asset data management of multiple bank asset items is realized through the target asset data set. Compared with the related art in which multiple bank asset items use different methods for data management, the consumption of management resources for asset data management is reduced, the management method and management effect of asset data of bank asset items are optimized, and the stability of the operation of bank asset items is improved.
[0132] In order to implement the above embodiment, the present disclosure also provides an electronic device 700, such as Figure 7 As shown, the electronic device 700 includes: a processor 71 and a memory 72 connected to the processor in communication, the memory 72 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 71 to implement the present disclosure. Figures 1 to 4 An asset data management method of an embodiment.
[0133] In order to implement the above embodiments, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the above embodiments. Figures 1 to 4 An asset data management method of an embodiment.
[0134] In order to implement the above embodiments, the embodiments of the present disclosure also propose a computer program product, including a computer program, which implements the asset data management method as the embodiment of the first aspect of the present disclosure when executed by a processor.
[0135] In the description of the present disclosure, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present disclosure.
[0136] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present disclosure, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.
[0137] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0138] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.
Claims
1. A method for asset data management, It is characterized in that The method comprises: Obtain a first bank asset item set, and obtain a data embedding strategy for each first bank asset item in the first bank asset item set; According to the data embedding strategy, data embedding is performed on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding; Based on the data embedding point, data collection is performed on each second bank asset item in the second bank asset item set to obtain candidate asset data of each second bank asset item; Integrate the candidate asset data of each second bank's asset project to obtain a target asset data set; The target asset data set is visualized to perform asset data management on each second bank asset item.
2. The method according to claim 1, It is characterized in that According to the data embedding strategy, data embedding is performed on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding, including: For any first bank asset item, obtain the data embedding method and data embedding location of the first bank asset item from the data embedding strategy of the first bank asset item; At the data embedding position corresponding to the first bank asset item, data embedding is performed on the first bank asset item based on the data embedding method to obtain a second bank asset item after embedding; The second bank asset item set is obtained according to the second bank asset items after the respective points of the first bank asset item set are buried.
3. The method according to claim 1, It is characterized in that The step of collecting data on each second bank asset item in the second bank asset item set based on the data embedding point to obtain candidate asset data of each second bank asset item includes: For any second bank asset item, obtain the data collection trigger condition set when the second bank asset item is used for data collection; In response to the second bank asset item triggering the data collection triggering condition, the candidate asset data of the second bank asset item is acquired.
4. The method according to claim 1, It is characterized in that The candidate asset data of each second bank's asset item are integrated to obtain a target asset data set, including: Dividing the second bank asset item set into processes to obtain a plurality of divided third bank asset item sets, wherein for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process; Obtaining an initial asset flow chart of each third bank asset item set in the plurality of third bank asset item sets; For any third-bank asset item set, obtain candidate asset data of each third-bank asset item in the third-bank asset item set, and integrate each candidate asset data into the initial asset flow chart to obtain an integrated candidate asset flow chart; The candidate asset flow charts of the asset project sets of each third bank are integrated to obtain the integrated target asset data set.
5. The method according to any one of claims 1 to 4, It is characterized in that The visualizing of the target asset data set to manage asset data of each second bank asset item includes: Performing visualization processing on the target asset data set to obtain a target asset data management dashboard; Identify whether there is abnormal asset data in the target asset data set through the target asset data management dashboard; In response to identifying the presence of the abnormal asset data in the target asset data set through the target asset data management dashboard, a fourth bank asset item corresponding to the abnormal asset data is obtained, and abnormal processing is performed on the fourth bank asset item.
6. An asset data management system, It is characterized in that The system includes a data embedding component, a data acquisition component, a data processing component and a visualization component, wherein: The data embedding component is used to embed data on each first bank asset item in the first bank asset item set to obtain a second bank asset item set after embedding; The data collection component is used to collect data on each second bank asset item in the second bank asset item set based on the data embedding point to obtain candidate asset data of each second bank asset item; The data processing component is used to integrate the candidate asset data of each second bank's asset project to obtain a target asset data set; The visualization component is used to perform visualization processing on the target asset data set to perform asset data management on each second bank asset item.
7. An asset data management device, It is characterized in that The device comprises: An acquisition module, used to acquire a first bank asset item set and acquire a data embedding strategy for each first bank asset item in the first bank asset item set; A data embedding module, configured to perform data embedding on each first bank asset item in the first bank asset item set according to the data embedding strategy, and obtain a second bank asset item set after embedding; A collection module, configured to collect data on each second bank asset item in the second bank asset item set based on the data embedding point, and obtain candidate asset data of each second bank asset item; An integration module, used to integrate the candidate asset data of each second bank's asset project to obtain a target asset data set; A management module is used to visualize the target asset data set to perform asset data management on each second bank asset item.
8. The device according to claim 7, It is characterized in that The tracking point module also includes: For any first bank asset item, obtain the data embedding method and data embedding location of the first bank asset item from the data embedding strategy of the first bank asset item; At the data embedding position corresponding to the first bank asset item, data embedding is performed on the first bank asset item based on the data embedding method to obtain a second bank asset item after embedding; The second bank asset item set is obtained according to the second bank asset items after the respective points of the first bank asset item set are buried.
9. The device according to claim 7, It is characterized in that The acquisition module further includes: For any second bank asset item, obtain the data collection trigger condition set when the second bank asset item is used for data collection; In response to the second bank asset item triggering the data collection triggering condition, the candidate asset data of the second bank asset item is acquired.
10. The device according to claim 7, It is characterized in that The integration module further includes: Dividing the second bank asset item set into processes to obtain a plurality of divided third bank asset item sets, wherein for any third bank asset item set, each third bank asset item in the third bank asset item set belongs to the same process; Obtaining an initial asset flow chart of each third bank asset item set in the plurality of third bank asset item sets; For any third-bank asset item set, obtain candidate asset data of each third-bank asset item in the third-bank asset item set, and integrate each candidate asset data into the initial asset flow chart to obtain an integrated candidate asset flow chart; The candidate asset flow charts of the asset project sets of each third bank are integrated to obtain the integrated target asset data set.
11. The device according to any one of claims 7 to 10, It is characterized in that The management module further includes: Performing visualization processing on the target asset data set to obtain a target asset data management dashboard; Identify whether there is abnormal asset data in the target asset data set through the target asset data management dashboard; In response to identifying the presence of the abnormal asset data in the target asset data set through the target asset data management dashboard, a fourth bank asset item corresponding to the abnormal asset data is obtained, and abnormal processing is performed on the fourth bank asset item.
12. An electronic device, It is characterized in that Including memory and processor; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 5.
13. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.
14. A computer program product, It is characterized in that The invention comprises a computer program, which is used to implement the method as claimed in any one of claims 1 to 5 when being executed by a processor.