CN113918824A - Client marketing cue mining system - Google Patents
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Abstract
The invention provides a client marketing cue mining system, which comprises: the system comprises a home page module, a discovery module and a my module; a home page module: the user screens the clients according to the screening conditions according to the requirements; a discovery module: the user conducts mining on the client through transfer analysis; my module: and the user sets the own screening combination according to the selected screening conditions and the transfer analysis. The problem of tens of millions of data volumes of a relational database is solved, the aggregation query efficiency is low, tens of millions of data aggregation and sequencing second-level processing are achieved, the user time is saved, and the user experience is enhanced.
Description
Technical Field
The invention relates to the field of data mining, in particular to a client marketing cue mining system.
Background
ES technology is now widely used, and search-related, commonly used ES are known in the art. The peripheral search function of the geographic position has various map applications at present. However, currently, the method combines searching, screening and map visualization, and combines the operation positions of specific branches and marketing scenes (including intra-row customer grouping analysis, related company mining, transfer transaction opponent mining and stock right chain company) and the like, and then combines screening and combining, and does not exist at present.
The prior art simply applies ES search, simply combines with a Gade map to display position information, cannot acquire customer information of a position appointed by a user, and cannot calculate the number of customers in a distance range selected by the user in real time; currently, the marketing platform known in the industry is only a marketing platform of position or condition, the dimensionality is single, and the user qualitative rating is poor.
Disclosure of Invention
The invention aims to provide a scheme of a client marketing cue mining system, which solves the problem of poor customization of users for acquiring client information, can inquire all clients in any position and specific range of a map by the users, realizes scene, position and condition multi-dimensional scenic business opportunity mining, is deeply combined with a specific service scene, overcomes the defect of insufficient precision of single-dimensional marketing on the market, and realizes free customization of inline data and the specific service scene.
The invention provides a first aspect of a client marketing cue mining system, which comprises:
the system comprises a home page module, a discovery module and a my module;
a home page module: the user screens the clients according to the screening conditions according to the requirements;
a discovery module: the user conducts mining on the client through transfer analysis;
my module: and the user sets the own screening combination according to the selected screening conditions and the transfer analysis.
According to a first aspect of the present invention, there is provided a system, wherein the screening conditions comprise:
the branch and branch line screening conditions specifically include:
selecting a branch: setting a first preset distance, and displaying all clients within the preset distance from all branches of the branch in a list; the map takes each branch line of the branch line as a central point, and displays the positions of all customers within a first preset distance from each branch line of the branch line;
selecting a branch line: setting a second preset distance, and displaying all clients within the second preset distance from the branch line in a list; and displaying the positions of all the customers in a second preset distance range of the branch line by taking the branch line as a central point of the map.
According to the system provided by the first aspect of the present invention, the screening condition further includes:
the region screening conditions specifically include: selecting province, city and district or county;
selecting provinces: displaying all the selected information of the clients in the province in a list; the map displays the positions of all the branch business departments in the selected province, and does not display the positions of the customers;
selecting a market: displaying all selected urban customer information in a list, mapping the selected urban regional graph and displaying the selected urban customer positions;
selecting a district or county: and displaying all client information in the selected district or county in a list, mapping the regional map in the selected district or county, and displaying the client positions in the selected district or county.
According to the system provided by the first aspect of the present invention, the screening condition further includes:
the keyword matching and screening conditions specifically include: setting a third preset distance, matching the name of the client according to the searched keyword, and displaying the information of the client within the third preset distance range in a list by taking the client as a central point according to the matched name of the client; and taking the customer as a central point, and displaying the position of the customer in a third preset distance range by a map.
According to a first aspect of the present invention there is provided a system wherein the over-transfer analysis comprises, by conditional analysis:
first assay screening conditions: the aggregation dimension is selected according to time, the analysis dimension is selected according to the amount/times, pages are aggregated according to the days, and the amount/times of transactions per day are displayed;
second assay screening conditions: the aggregation dimension is selected according to the transaction opponents, the analysis dimension is selected according to the amount/times, the page is displayed according to the transaction opponents and the first ten transaction opponents are displayed by combining the histogram, and the list is displayed according to the amount/times in the reverse order;
third assay screening conditions; the aggregation dimension is selected according to customers, the analysis dimension is selected according to the amount/the times, the page is displayed according to the customers, the first ten transaction customers are displayed by combining the histogram, and the customers are displayed in a list according to the amount/the times in the reverse order;
fourth assay screening conditions: the aggregation dimension is selected according to a customer manager, the analysis dimension is selected according to the amount/times, the page is displayed according to the customer manager and the front ten-transaction customer manager by combining the histogram, and the customer manager is displayed in a list according to the amount/times in the reverse order;
fifth assay screening conditions: the method comprises the steps of selecting a bank according to transfer amount by aggregation dimension, selecting a bank according to amount/times by analysis dimension, displaying the bank according to transfer amount on a page, combining a histogram to display the bank for the first ten transactions, and displaying the bank according to amount/times in reverse order on a list;
sixth assay screening conditions: the aggregation dimension is selected according to the industry, the analysis dimension is selected according to the amount/the times, the page is displayed according to the industry and is combined with the histogram to display the former ten transaction industries, and the list is displayed according to the amount/the times in the reverse order.
According to a first aspect of the present invention there is provided a system wherein the posting analysis further comprises, by customer analysis:
first analysis customer condition: screening inline customers and screening counterparties of the transaction;
second analysis customer condition: the method supports rapid aggregation according to time, transaction opponents, customers, customer managers, transfer banks and industries;
third analysis customer conditions: one-key inquiry is carried out on the transaction opponents transferred in and out of all the customers in the row, the ordering is supported according to the transfer amount and the transfer times, and the time can be customized;
fourth analysis customer conditions: and monitoring the transferring-in and transferring-out of the customers in all rows by one key, and quickly screening out the transferring-out amount and the transferring-in amount or the customers with the most transferring-out times and transferring-in times.
According to the system provided by the first aspect of the present invention, the specific content mined by the client includes:
a transaction opponent is selected by transferring out analysis, and supplier information of inline customers is mined;
the client is selected by the roll-out analysis, and roll-out information of the client is tracked and monitored;
analyzing and selecting a trading opponent, and mining the customer information of the inline trading opponent;
the transfer-in analysis selects the customer himself, and the funds transfer-in information of the customer is tracked.
According to the system provided by the first aspect of the present invention, wherein the first preset distance is 1-10 km; the second preset distance is 1-10 kilometers; the third preset distance is 1-10 kilometers.
A second aspect of the invention provides an apparatus comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs a method in a customer marketing cue mining system according to the first aspect of the invention.
A third aspect of the invention provides a storage medium storing a computer program executable by one or more processors for implementing a method in a customer marketing cue mining system according to the first aspect of the invention.
In conclusion, compared with the prior art, the invention has the following advantages:
the problem of tens of millions of data volumes of a relational database is solved, the aggregation query efficiency is low, tens of millions of data aggregation and sequencing second-level processing are achieved, the user time is saved, and the user experience is enhanced. Through various screening conditions, the client in a specific distance range is accurately matched, and the marketing is convenient, quick and accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of a customer marketing cue mining system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a composition structure of an apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
fig. 1 is a structural diagram of a customer marketing cue mining system according to an embodiment of the present invention, and specifically as shown in fig. 1, the system 100 includes:
a home page module 101, a discovery module 102, and a my module 103;
home page module 101: the user screens the clients according to the screening conditions according to the requirements;
in some embodiments, wherein the screening conditions comprise:
the branch and branch line screening conditions specifically include:
selecting a branch: setting a first preset distance, and displaying all clients within the preset distance from all branches of the branch in a list; the map takes each branch line of the branch line as a central point, and displays the positions of all customers within a first preset distance from each branch line of the branch line;
selecting a branch line: setting a second preset distance, and displaying all clients within the second preset distance from the branch line in a list; the map takes the branch line as a central point and shows the positions of all clients in a second preset distance range of the branch line;
in some embodiments, wherein the screening conditions further comprise:
the region screening conditions specifically include: selecting province, city and district or county;
selecting provinces: displaying all the selected information of the clients in the province in a list; the map displays the positions of all the branch business departments in the selected province, and does not display the positions of the customers;
selecting a market: displaying all selected urban customer information in a list, mapping the selected urban regional graph and displaying the selected urban customer positions;
selecting a district or county: displaying all client information in the selected district or county in a list, drawing an area map in the selected district or county in a map manner, and displaying the positions of the clients in the selected district or county;
in some embodiments, wherein the screening conditions further comprise:
the keyword matching and screening conditions specifically include: setting a third preset distance, matching the name of the client according to the searched keyword, and displaying the information of the client within the third preset distance range in a list by taking the client as a central point according to the matched name of the client; taking the customer as a central point, and displaying the position of the customer in a third preset distance range on a map;
in some embodiments, wherein the first predetermined distance is 1-10 km; the second preset distance is 1-10 kilometers; the third preset distance is 1-10 kilometers;
the discovery module 102: the user conducts mining on the client through transfer analysis;
in some embodiments, wherein the over-transfer analysis comprises, by conditional analysis:
first assay screening conditions: the aggregation dimension is selected according to time, the analysis dimension is selected according to the amount/times, pages are aggregated according to the days, and the amount/times of transactions per day are displayed;
second assay screening conditions: the method comprises the steps of selecting aggregation dimensions according to transaction opponents, analyzing the dimension selection according to the amount/times, displaying the transactions (amount/times) of the first ten transaction opponents according to the transaction opponents on a page, combining an echarts histogram to display the transaction opponents in a reverse order of the amount/times on a list, and supporting paging display;
third assay screening conditions: the aggregate dimension is selected according to the client, the analysis dimension is selected according to the amount/times, the page is displayed according to the client and is combined with the echarts histogram to display the first ten transaction clients (amount/times), the list displays the clients according to the amount/times in the reverse order, and the page display is supported;
fourth assay screening conditions: the aggregation dimension is selected according to a customer manager, the analysis dimension is selected according to the amount/the times, the page is displayed according to the customer manager and the echarts histogram, the former ten transaction customer managers (the amount/the times) are displayed, and the customer managers are displayed in a list according to the amount/the times in the reverse order;
fifth assay screening conditions: the method comprises the steps of selecting a polymerization dimension according to a transfer bank, analyzing the dimension, selecting a money amount/times according to the analysis dimension, displaying the previous ten-transaction transfer bank (money amount/times) according to a page, combining an echarts histogram, and displaying the transfer bank according to the money amount/times in a reverse order;
sixth assay screening conditions: the aggregate dimension selection is according to the industry, the analysis dimension selection is according to the amount/the number of times, the page is according to the industry, the echarts histogram is combined to display the former ten transaction industries (the amount/the number of times), and the list displays the transaction industries according to the amount/the number of times in the reverse order;
in some embodiments, wherein the posting analysis further comprises, by customer analysis:
first analysis customer condition: screening inline customers and screening counterparties of the transaction;
second analysis customer condition: the method supports rapid aggregation according to time, transaction opponents, customers, customer managers, transfer banks and industries;
third analysis customer conditions: one-key inquiry is carried out on the transaction opponents transferred in and out of all the customers in the row, the ordering is supported according to the transfer amount and the transfer times, and the time can be customized;
fourth analysis customer conditions: and monitoring the transferring-in and transferring-out of the customers in all rows by one key, and quickly screening out the transferring-out amount and the transferring-in amount or the customers with the most transferring-out times and transferring-in times.
In some embodiments, the specific content mined by the client comprises:
a transaction opponent is selected by transferring out analysis, and supplier information of inline customers is mined;
the client is selected by the output analysis, and the output information of the client is tracked and monitored;
analyzing and selecting a trading opponent, and mining the customer information of the inline trading opponent;
the transfer-in analysis selects the customer, and tracks the fund transfer-in information of the customer;
the analysis can carry out corresponding follow-up marketing actions;
in some embodiments, a customer manager can check the hidden customers around the branch and the hidden customers around the customers to be visited, branch coworkers can check the hidden customers around all the branches and the distribution situation of target customers, all the screening results are real-time, excessive operation is not needed, all the responses are in the second level or even the millisecond level, excessive waiting is not needed, and the working efficiency is improved;
the statistical analysis part intuitively knows the condition of the results of the screening enterprises and can export the screening results into excel; the list can be saved by one key, and one-key issuing is realized by the smart phone;
my module 103: the user sets the own screening combination according to the selected screening conditions and the transfer analysis;
the home page module and the screening condition of the finding module which accords with the expected result of the user can be stored as a combination, and the combination is stored and displayed in my combination; screening combined support conditions, clicking a use combination, jumping to a relative function module, and screening a result according to the combined conditions;
in my module, the client can carry out screening combination according to own needs, does not need to carry out condition screening every time, directly selects and uses the stored combination, and improves the working efficiency.
In summary, the technical solutions of the aspects of the present invention have the following advantages compared with the prior art:
the method comprises the following steps of mining a scene of all companies for the hidden customers, mining a scene of in-line customers for the stock user promotion, mining a scene of in-line customers for the relation, mining a scene of in-line customers-related companies for the large customers, mining a scene of in-line enterprises for the large customers, mining a scene of transfer analysis for the existing customer transfer enterprises, and customizing each scene based on service depth. And meanwhile, the scene, the position, the condition and the visual analysis chart are linked with each other, the rapid screening based on the geographic position and the scene and the condition is realized through the ES technology, and the screening results are subjected to multi-dimensional screening, aggregation and sorting and are sequentially provided for each module for display. The map marketing platform is high in visualization degree, and user experience can be improved. The user can conveniently visit and market the client according to the position information, all the screening results are real-time, all the responses are in the second level or even the millisecond level, excessive waiting is not needed, and the working efficiency is improved. The statistical analysis part can intuitively know the result condition of the screening enterprise, can export the screening result into excel, can save the list by one key, and can realize one-key issuing through a smart machine. And providing a list interface for the system call of the correlation party. The isolation and the opening of a plurality of associated systems are not conflicted with each other. The problem of tens of millions of data volumes of a relational database is solved, the aggregation query efficiency is low, tens of millions of data aggregation and sequencing second-level processing are achieved, the user time is saved, and the user experience is enhanced.
Example 2:
correspondingly, the embodiment of the application provides equipment; fig. 2 is a schematic diagram of a component structure of an apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus 200 includes: comprising a processor 201 and a memory 205, wherein the memory 205 stores a computer program, and the computer program when executed by the processor 201 performs the method of the customer marketing cue mining system according to the previous embodiment.
In one implementation, the device 200 includes a processor 201, at least one communication bus 202, a user interface 203, at least one external communication interface 204, and memory 205. Wherein the communication bus 202 is configured to enable connective communication between these components. The user interface 203 may comprise a display screen, and the external communication interface 204 may comprise a standard wired interface and a wireless interface, among others. The processor 201 is configured to execute the program of the method in the customer marketing cue mining system stored in the memory to implement the steps of the method in the customer marketing cue mining system provided in the above embodiments.
Example 3:
embodiments of the present application provide a storage medium storing a computer program, which can be executed by one or more processors, and can be used to implement the method in the customer marketing cue mining system described in embodiment 1 above.
The above description of the apparatus and storage medium embodiments, similar to the description of the method embodiments above, has similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the computer device and the storage medium of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a controller to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A customer marketing cue mining system, the system comprising:
the system comprises a home page module, a discovery module and a my module;
a home page module: the user screens the clients according to the screening conditions according to the requirements;
a discovery module: the user conducts mining on the client through transfer analysis;
my module: and the user sets the own screening combination according to the selected screening conditions and the transfer analysis.
2. The system of claim 1, wherein the filtering condition comprises:
the branch and branch line screening conditions specifically include:
selecting a branch: setting a first preset distance, and displaying all clients within the preset distance from all branches of the branch in a list; the map takes each branch line of the branch line as a central point, and displays the positions of all customers within a first preset distance from each branch line of the branch line;
selecting a branch line: setting a second preset distance, and displaying all clients within the second preset distance from the branch line in a list; and displaying the positions of all the customers in a second preset distance range of the branch line by taking the branch line as a central point of the map.
3. The system of claim 2, wherein the filtering condition further comprises:
the region screening conditions specifically include: selecting province, city and district or county;
selecting provinces: displaying all the selected information of the clients in the province in a list; the map displays the positions of all the branch business departments in the selected province, and does not display the positions of the customers;
selecting a market: displaying all selected urban customer information in a list, mapping the selected urban regional graph and displaying the selected urban customer positions;
selecting a district or county: and displaying all client information in the selected district or county in a list, mapping the regional map in the selected district or county, and displaying the client positions in the selected district or county.
4. The system of claim 3, wherein the filtering condition further comprises:
the keyword matching and screening conditions specifically include: setting a third preset distance, matching the name of a client according to the searched keyword, and displaying the information of the client in the third preset distance range in a list by taking the client as a central point according to the matched client name; and displaying the position of the client in the third preset distance range by using the client as a central point through a map.
5. The system of claim 1, wherein the analysis of the past transfers comprises, by conditional analysis:
first assay screening conditions: the aggregation dimension is selected according to time, the analysis dimension is selected according to the amount/times, pages are aggregated according to the days, and the amount/times of transactions per day are displayed;
second assay screening conditions: the aggregation dimension is selected according to the transaction opponents, the analysis dimension is selected according to the amount/times, the page is displayed according to the transaction opponents and the first ten transaction opponents are displayed by combining the histogram, and the list is displayed according to the amount/times in the reverse order;
third assay screening conditions; the aggregation dimension is selected according to customers, the analysis dimension is selected according to the amount/the times, the page is displayed according to the customers, the first ten transaction customers are displayed by combining the histogram, and the customers are displayed in a list according to the amount/the times in the reverse order;
fourth assay screening conditions: the aggregation dimension is selected according to a customer manager, the analysis dimension is selected according to the amount/times, the page is displayed according to the customer manager and the front ten-transaction customer manager by combining the histogram, and the customer manager is displayed in a list according to the amount/times in the reverse order;
fifth assay screening conditions: the method comprises the steps of selecting a bank according to transfer amount by aggregation dimension, selecting a bank according to amount/times by analysis dimension, displaying the bank according to transfer amount on a page, combining a histogram to display the bank for the first ten transactions, and displaying the bank according to amount/times in reverse order on a list;
sixth assay screening conditions: the aggregation dimension is selected according to the industry, the analysis dimension is selected according to the amount/the times, the page is displayed according to the industry and is combined with the histogram to display the former ten transaction industries, and the list is displayed according to the amount/the times in the reverse order.
6. The customer marketing cue mining system of claim 5, wherein the over-transfer analysis further comprises, per customer analysis:
first analysis customer condition: screening inline customers and screening counterparties of the transaction;
second analysis customer condition: the method supports rapid aggregation according to time, transaction opponents, customers, customer managers, transfer banks and industries;
third analysis customer conditions: one-key inquiry is carried out on the transaction opponents transferred in and out of all the customers in the row, the ordering is supported according to the transfer amount and the transfer times, and the time can be customized;
fourth analysis customer conditions: and monitoring the transferring-in and transferring-out of the customers in all rows by one key, and quickly screening out the transferring-out amount and the transferring-in amount or the customers with the most transferring-out times and transferring-in times.
7. The system of claim 6, wherein the specific content mined by the client comprises:
a transaction opponent is selected by transferring out analysis, and supplier information of inline customers is mined;
the client is selected by the roll-out analysis, and roll-out information of the client is tracked and monitored;
analyzing and selecting a trading opponent, and mining the customer information of the inline trading opponent;
the transfer-in analysis selects the customer himself, and the funds transfer-in information of the customer is tracked.
8. The system of claim 4, wherein the first predetermined distance is 1-10 km; the second preset distance is 1-10 kilometers; the third preset distance is 1-10 kilometers.
9. An apparatus comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, performs a method in a customer marketing cue mining system as claimed in any one of claims 1 to 8.
10. A storage medium storing a computer program executable by one or more processors to implement a method in a customer marketing cue mining system as claimed in any one of claims 1 to 8.
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Application publication date: 20220111 |