CN117035851A - Data processing method, device, computer equipment and storage medium - Google Patents
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Abstract
The embodiment of the application belongs to the field of artificial intelligence and financial science and technology, and relates to a data processing method, which comprises the following steps: determining target users meeting preset questionnaire issuing conditions; acquiring a target task type of an audit task corresponding to a target user; acquiring a target questionnaire of the type of the target task, and generating a target link corresponding to the target questionnaire; pushing the target link to a target user; receiving feedback data returned after the target user processes the target link; converting the feedback data to obtain target feedback data; and displaying the target feedback data in a workbench interface of a target auditor. The application also provides a data processing device, computer equipment and a storage medium. In addition, the application also relates to a block chain technology, and target feedback data can be stored in the block chain. The method and the device can be applied to a questionnaire return scene in the financial field, effectively improve the processing efficiency of questionnaire return flow processing, and are beneficial to improving the working efficiency of auditors.
Description
Technical Field
The present application relates to the field of artificial intelligence development technology and financial technology, and in particular, to a data processing method, apparatus, computer device, and storage medium.
Background
With the rapid development of internet finance, many finance and technology companies develop business systems for performing business processes. With the increase of the nuclear protection business, the application of expert nuclear protection systems is also increasing. Currently, in the business scenario involving questionnaire user return in an expert underwriting system, the following processing method is generally adopted in the industry: the printed questionnaire is given to the user in the mode of off-line agent, the user returns the agent after filling the signature, and the agent gives the organization/headquarter scanning image and then transmits the image to the expert verification system. The processing mode is a pure offline mode, an agent is relied on as a bridge for communication between a user and a insurance department, the situation of mailing or manual delivery possibly exists in the middle process, if the questionnaire is issued back and forth for many times, the time span is longer, the cost is higher, the processing efficiency of the return service is lower, and the user experience is poor.
Disclosure of Invention
The embodiment of the application aims to provide a data processing method, a device, computer equipment and a storage medium, which are used for solving the technical problems of higher cost, lower processing efficiency and poorer user experience in the processing mode in a business scene involving return of questionnaires in the existing system.
In order to solve the above technical problems, an embodiment of the present application provides a data processing method, which adopts the following technical schemes:
determining target users meeting preset questionnaire issuing conditions;
acquiring a target task type of an audit task corresponding to the target user;
acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire;
pushing the target link to the target user;
receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link;
converting the feedback data to obtain converted target feedback data;
and displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
Further, the step of pushing the target link to the target user specifically includes:
acquiring user information of the target user;
determining a touch manner of the target user based on the user information;
and pushing the target link to the target user based on the touch mode.
Further, before the step of obtaining the target questionnaire of the target task type and generating the target link corresponding to the target questionnaire, the method further comprises:
Receiving a questionnaire configuration request triggered by an operator;
collecting facial feature information of the operator;
randomly screening a specified number of specified features from the facial biological feature information, and carrying out identity verification on the operator based on the specified features;
if the identity verification is passed, displaying a preset questionnaire configuration page;
receiving configuration information filled in the questionnaire configuration page by the operator;
generating a corresponding questionnaire based on the configuration information;
the questionnaire is stored.
Further, the specified features include at least a nose size feature and a lip shape feature; the step of authenticating the operator based on the specified feature specifically includes:
acquiring personal information of the operator;
acquiring standard nose size characteristics corresponding to the personal information from a preset identity information database;
performing similarity verification on the nose size features and the standard nose size features;
if the verification is passed, acquiring standard lip shape characteristics corresponding to the personal information from the identity information database;
performing similarity verification on the lip shape features and the standard lip shape features;
And if the verification is passed, judging that the operator passes the authentication, otherwise, judging that the operator fails the authentication.
Further, after the step of receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link, the method further includes:
acquiring a preset questionnaire verification rule;
checking the feedback data based on the questionnaire checking rule, and judging whether the feedback data accords with a preset integrity condition;
and if the integrity condition is not met, executing a questionnaire resending process flow for the target user.
Further, after the step of pushing the target link to the target user, the method further includes:
acquiring a business case corresponding to the auditing task;
determining a target service person corresponding to the service case;
generating a prompting reminding message corresponding to the target questionnaire;
pushing the prompting reminding information to the target service staff.
Further, after the step of pushing the target link to the target user, the method further includes:
after the target link pushing is successful, recording a processing state corresponding to the target questionnaire;
And storing the processing state.
In order to solve the above technical problems, the embodiment of the present application further provides a data processing apparatus, which adopts the following technical scheme:
the first determining module is used for determining target users meeting preset questionnaire issuing conditions;
the first acquisition module is used for acquiring a target task type of an audit task corresponding to the target user;
the first generation module is used for acquiring a target questionnaire of the target task type and generating a target link corresponding to the target questionnaire;
the first pushing module is used for pushing the target link to the target user;
the first receiving module is used for receiving feedback data corresponding to the target questionnaire, which is returned after the target user processes the target link;
the conversion module is used for carrying out conversion treatment on the feedback data to obtain converted target feedback data;
and the first display module is used for displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:
Determining target users meeting preset questionnaire issuing conditions;
acquiring a target task type of an audit task corresponding to the target user;
acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire;
pushing the target link to the target user;
receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link;
converting the feedback data to obtain converted target feedback data;
and displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:
determining target users meeting preset questionnaire issuing conditions;
acquiring a target task type of an audit task corresponding to the target user;
acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire;
pushing the target link to the target user;
receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link;
Converting the feedback data to obtain converted target feedback data;
and displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
the method comprises the steps of firstly determining target users meeting preset questionnaire issuing conditions; then obtaining a target task type of an audit task corresponding to the target user; then, acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire; pushing the target link to the target user, and receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link; further converting the feedback data to obtain converted target feedback data; and finally, displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task. The application provides a questionnaire return on-line data processing mode, which enables a target user to directly process the target link on line and return feedback data corresponding to the target questionnaire by automatically sending the target link containing the target questionnaire to a target user meeting questionnaire issuing conditions, and then the feedback data is converted and processed to obtain target feedback data which is displayed on a workbench interface of a target auditor corresponding to the auditing task, so that the auditing processing of the feedback data is completed by the target auditor. The above questionnaire return line up processing mode is completely independent of the offline operation of the agent, no additional expense of express delivery or agent leg running delivery exists, the workload of the agent is effectively reduced, the questionnaire return processing cost is reduced, the return flow processing efficiency is improved, the return experience and satisfaction of the user are improved, the working efficiency of auditors is improved, and further the nuclear insurance operation efficiency is improved.
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In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a data processing method according to the present application;
FIG. 3 is a schematic diagram of one embodiment of a data processing apparatus according to the present application;
FIG. 4 is a schematic structural diagram of one embodiment of a computer device in accordance with the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
It should be noted that, the data processing method provided by the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the data processing apparatus is generally disposed in the server/terminal device.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow chart of one embodiment of a data processing method according to the present application is shown. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The data processing method provided by the embodiment of the application can be applied to any scene needing to be subjected to the return processing of questionnaire data, and the product recommending method can be applied to products of the scenes, for example, the return of questionnaire data in the field of financial insurance. The data processing method comprises the following steps:
Step S201, determining a target user who satisfies a preset questionnaire issuing condition.
In this embodiment, the electronic device (e.g., the server/terminal device shown in fig. 1) on which the data processing method operates may acquire the target user through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection. The application is particularly applied to business scenes related to the return of health questionnaires or financial questionnaires in expert nuclear protection systems, and the execution subject of the application can be particularly an expert nuclear protection system in electronic equipment. The target users meeting the preset questionnaire issuing conditions refer to users who are related to the return of health questionnaires or finance questionnaires, and the users are users who are determined by a nuclear security expert in a workbench and need additional questionnaires.
Step S202, obtaining a target task type of an audit task corresponding to the target user.
In this embodiment, the task information of the audit task corresponding to the target user may be queried to obtain the task type of the audit task from the task information. The audit task may specifically refer to a verification task, and the task types of the audit task may generally include new contract, re-application, security, claim settlement, and the like.
Step S203, a target questionnaire of the target task type is obtained, and a target link corresponding to the target questionnaire is generated.
In this embodiment, for tasks of various task types, an operator creates and stores a questionnaire matching the task type according to actual service requirements. The process of creating a questionnaire will be described in further detail in the following specific examples, which will not be described in any detail here. The user can review the corresponding target questionnaire by clicking the target link.
Step S204, pushing the target link to the target user.
In this embodiment, the foregoing implementation process of pushing the target link to the target user will be described in further detail in the following embodiments, which will not be described herein.
Step S205, receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link.
In this embodiment, the target links to return links corresponding to the target questionnaires. The user touches the return link in the message through clicking, the user enters the task list of the H5 page after five items of authentication of the applicant, selects the corresponding case, then enters the mail list to be returned (at least comprising the health questionnaire and the financial questionnaire), then selects the health questionnaire or the financial questionnaire to answer (answer forms are not limited: filling, single selection, multiple selection and the like), dynamically inquires the questions in the DB when the user answers at the front end, automatically splices into the H5 page, enters the answer confirmation link after the answer is finished, confirms the online electronic signature after the user confirms no errors, and feeds back the answer data.
And S206, converting the feedback data to obtain converted target feedback data.
In this embodiment, the IBM SIP technology may be used to convert the feedback data into a PDF format, so that the feedback data is converted into a format that is convenient for an auditor to process, which is favorable for improving the processing experience of subsequent auditors for consulting and auditing.
And step S207, displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
In this embodiment, the target auditor may refer to a underwriting expert. After the target feedback data are displayed in a workbench interface of a target auditor corresponding to the auditing task, the target auditor can audit the feedback data which are returned after the target user processes the target link and correspond to the target questionnaire, and the processing mode is convenient for a nuclear insurance expert to configure according to the requirement, so that the nuclear insurance expert can deal with changeable markets at any time, and the nuclear insurance operation efficiency is effectively improved.
Firstly, determining target users meeting preset questionnaire issuing conditions; then obtaining a target task type of an audit task corresponding to the target user; then, acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire; pushing the target link to the target user, and receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link; further converting the feedback data to obtain converted target feedback data; and finally, displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task. The application provides a questionnaire return on-line data processing mode, which enables a target user to directly process the target link on line and return feedback data corresponding to the target questionnaire by automatically sending the target link containing the target questionnaire to a target user meeting questionnaire issuing conditions, and then the feedback data is converted and processed to obtain target feedback data which is displayed on a workbench interface of a target auditor corresponding to the auditing task, so that the auditing processing of the feedback data is completed by the target auditor. The above questionnaire return line up processing mode is completely independent of the offline operation of the agent, no additional expense of express delivery or agent leg running delivery exists, the workload of the agent is effectively reduced, the questionnaire return processing cost is reduced, the return flow processing efficiency is improved, the return experience and satisfaction of the user are improved, the working efficiency of auditors is improved, and further the nuclear insurance operation efficiency is improved.
In some alternative implementations, step S203 includes the steps of:
and acquiring the user information of the target user.
In this embodiment, the user information may include a user name or a user UIM number.
And determining the touch mode of the target user based on the user information.
In this embodiment, the user information database is queried based on the user information, so as to query the user information database for the commonly used touch manner matched with the target user. The touch mode can comprise short messages, weChat, mails and the like.
And pushing the target link to the target user based on the touch mode.
The application obtains the user information of the target user; then determining the touch mode of the target user based on the user information; and pushing the target link to the target user based on the touch mode. Before the target link is pushed to the target user, the touch mode of the target user is intelligently determined according to the user information, and then the target link is pushed to the target user in a touch mode commonly used by the target user, so that the link pushing intelligence is improved, and the use experience of the user is improved.
In some optional implementations of this embodiment, before step S203, the electronic device may further perform the following steps:
and receiving a questionnaire configuration request triggered by an operator.
In this embodiment, a questionnaire configuration function is preset to support template configuration for questionnaires of different service types. The business types may include health, financial, etc.
And collecting facial feature information of the operator.
In this embodiment, facial feature information of the operator may be collected through a built-in shooting component. Wherein, the facial feature information may include at least iris feature, nose size feature, lip shape feature, ear shape feature, facial texture feature, and the like.
And randomly screening a specified number of specified features from the facial biological feature information, and carrying out identity verification on the operator based on the specified features.
In this embodiment, the numerical selection of the specified number is not specifically limited, and may be set according to actual service requirements. The randomness and accuracy of the identity verification can be improved by selecting the appointed number of appointed characteristics to carry out the identity verification on the operator. The above specific implementation procedure of the authentication of the operator based on the specified features will be described in further detail in the following specific embodiments, which will not be described herein.
And if the identity verification is passed, displaying a preset questionnaire configuration page.
In this embodiment, the above-mentioned questionnaire configuration page is a page for configuring a questionnaire template created according to the actual questionnaire construction business requirement.
And receiving configuration information filled in the questionnaire configuration page by the operator.
And generating a corresponding questionnaire based on the configuration information.
In this embodiment, the process of questionnaire configuration may include: 1) Selecting a topic type: such as multiple choice questions; 2) Input title: empty; 3) Question type: financial questionnaires; 4) Area name: the purpose of application; 5) Remarks: can be left unfilled; 6) Whether or not it is necessary to fill: selecting necessary filling; 7) Random arrangement of options: not selecting; 8) Four options are dynamically added: household income guarantee, endowment guarantee, risk compensation, mortgage as loan and other options for allowing filling and filling; 9) Newly adding a question record in the MySQL database after submission, hanging under the financial questionnaire, and displaying the question record as a first question; 10 And so on to configure and play all questions to form a complete questionnaire.
The questionnaire is stored.
In this embodiment, the task type of the questionnaire may be determined, and then the questionnaire is stored in association according to the service type. The storage mode of the questionnaire is not limited, and for example, a local storage mode, a blockchain storage mode, a cloud storage mode and the like can be adopted.
After receiving a questionnaire configuration request triggered by an operator, the application firstly collects facial feature information of the operator; randomly screening a specified number of specified features from the facial biological feature information, and carrying out identity verification on the operator based on the specified features; if the identity verification is passed, displaying a preset questionnaire configuration page; then receiving configuration information filled in the questionnaire configuration page by the operator; and generating a corresponding questionnaire based on the configuration information, and storing the questionnaire. After receiving a questionnaire configuration request triggered by an operator, the method intelligently uses part of appointed features in the collected facial feature information of the operator to carry out multi-feature authentication on the operator, improves the processing accuracy and precision of authentication on the operator, and executes a follow-up questionnaire configuration flow only after the operator passes the authentication, thereby effectively improving the normalization and safety in the questionnaire configuration generation process.
In some alternative implementations, the specified features include at least a nose size feature and a lip shape feature; the step of authenticating the operator based on the specified characteristics comprises the following steps:
And acquiring personal information of the operator.
In this embodiment, the personal information may include a name or UIM number.
And acquiring standard nose size characteristics corresponding to the personal information from a preset identity information database.
In this embodiment, the identity information database may be a pre-built third party authentication system storing personal identity data of internal employees. The identity information database may be queried for data based on personal information to query the identity information database for standard nose size characteristics corresponding to the personal information.
And performing similarity verification on the nose size characteristic and the standard nose size characteristic.
In this embodiment, the feature similarity between the nose size feature and the standard nose size feature may be calculated, if the calculated feature similarity is greater than a preset first similarity threshold, it is determined that the verification of the similarity check between the nose size feature and the standard nose size feature is passed, and if the calculated feature similarity is less than the first similarity threshold, it is determined that the verification of the similarity check between the nose size feature and the standard nose size feature is not passed. Wherein similarity calculations may be performed for the nose size features and the standard nose size features based on a similarity algorithm. The similarity algorithm may be a cosine algorithm, a euclidean distance algorithm, or the like, and is not particularly limited. In addition, the value of the first similarity threshold is not specifically limited, and may be set according to actual service usage requirements.
And if the verification is passed, acquiring the standard lip shape characteristics corresponding to the personal information from the identity information database.
In this embodiment, the above-mentioned identity information database may be queried based on personal information, so as to query the standard lip shape feature corresponding to the personal information from the identity information database.
And carrying out similarity verification on the lip shape characteristic and the standard lip shape characteristic.
In this embodiment, the feature similarity between the lip shape feature and the standard lip shape feature may be calculated, if the calculated feature similarity is greater than a preset second similarity threshold, it is determined that the lip shape feature and the standard lip shape feature pass the verification of the similarity check, and if the calculated feature similarity is less than the second similarity threshold, it is determined that the lip shape feature and the standard lip shape feature do not pass the verification of the similarity check. The value of the second similarity threshold is not specifically limited, and may be set according to actual service usage requirements.
And if the verification is passed, judging that the operator passes the authentication, otherwise, judging that the operator fails the authentication.
In this embodiment, if it is detected that the operator fails the authentication, the corresponding alarm information is issued later, and the response to the questionnaire configuration operation of the operator is restricted. The authentication scheme of the embodiment can be further applied to government institutions, academic systems, financial institutions (such as banks, etc.).
The personal information of the operator is acquired; then, obtaining standard nose size characteristics corresponding to the personal information from a preset identity information database; then, performing similarity verification on the nose size characteristics and the standard nose size characteristics; if the verification is passed, acquiring standard lip shape characteristics corresponding to the personal information from the identity information database; subsequently, carrying out similarity verification on the lip shape characteristics and the standard lip shape characteristics; and if the verification is passed, judging that the operator passes the authentication, otherwise, judging that the operator fails the authentication. After receiving a questionnaire configuration request triggered by an operator, the method intelligently uses the nose size feature and the lip shape feature in the collected facial feature information of the operator to carry out multi-feature identity verification on the operator, so that the accuracy and precision of the identity verification on the operator are improved, the follow-up questionnaire configuration flow can be executed only after the operator passes the identity verification, and the normalization and safety in the questionnaire configuration generation process are effectively improved.
In some alternative implementations, after step S205, the electronic device may further perform the following steps:
and acquiring a preset questionnaire verification rule.
In this embodiment, the above-described questionnaire verification rule is a rule originally created for detecting the integrity of the filling content of the questionnaire.
And verifying the feedback data based on the questionnaire verification rule, and judging whether the feedback data accords with a preset integrity condition.
In this embodiment, meeting the integrity condition means that the questionnaire user replies to all the necessary questions in the questionnaire.
And if the integrity condition is not met, executing a questionnaire resending process flow for the target user.
In this embodiment, the above-mentioned process of performing the questionnaire resending process on the user refers to a process of resending the target questionnaire to the target user and instructing the target user to resend the missed answer item therein.
The method comprises the steps of obtaining a preset questionnaire verification rule; then checking the feedback data based on the questionnaire checking rule, and judging whether the feedback data accords with a preset integrity condition; and if the integrity condition is not met, executing a questionnaire resending process flow for the target user. According to the method and the device for processing the target questionnaire, after the feedback data corresponding to the target questionnaire and returned after the target user processes the target link are received, the feedback data can be intelligently checked by using the questionnaire checking rule, if the feedback data does not accord with the integrity condition, the flow of the questionnaire re-sending process is executed for the target user, the accuracy and the integrity of the obtained feedback data are guaranteed, further useless work on the feedback data which does not accord with the rule can be avoided, and the processing intelligence of the feedback data of the questionnaire is effectively improved.
In some optional implementations of this embodiment, after step S204, the electronic device may further perform the following steps:
and acquiring a service case corresponding to the auditing task.
In this embodiment, task information in the audit task may be obtained, so as to determine a service case corresponding to the audit task according to the task information.
And determining a target service person corresponding to the service case.
In this embodiment, the query may be performed on the internal service processing data based on the service case, so as to determine a target service member corresponding to the service case. The target business person is also referred to as an agent corresponding to the business case.
And generating the prompting reminding information corresponding to the target questionnaire.
In this embodiment, a pre-constructed sponsorship information template may be obtained, and then the target questionnaire is filled into the sponsorship information template to generate corresponding sponsorship reminding information. The sponsorship information template can be constructed according to actual sponsorship business. For the return flow of the target user, the return flow is completely independent of the offline operation of the agent, no additional expense of express delivery or leg running delivery of the agent exists, the agent only plays the obligation of online reminding and informing, and the efficiency of the agent is improved on the premise of not influencing commission of the agent.
Pushing the prompting reminding information to the target service staff.
In this embodiment, the communication information of the target service may be obtained, and then the prompting reminding information may be pushed to the target service member according to the communication information, so that the target service member may push the user to return in time.
The application obtains the business case corresponding to the auditing task; then determining a target service person corresponding to the service case; then generating a prompting reminding message corresponding to the target questionnaire; and pushing the prompting reminding information to the target salesman. According to the application, when the target link is pushed to the target user, the sponsored reminding information corresponding to the target questionnaire is intelligently generated, and the sponsored reminding information is pushed to the corresponding target salesman, so that the target salesman can push the user to return in time on line, the work experience of the target salesman is improved, and the return processing efficiency is improved.
In some optional implementations of this embodiment, after step S204, the electronic device may further perform the following steps:
and after the target link is pushed successfully, recording a processing state corresponding to the target questionnaire.
In this embodiment, the processing state may be a waiting state.
And storing the processing state.
In this embodiment, it may be determined whether or not there is an initial processing state corresponding to the target questionnaire; if the initial processing state does not exist, directly generating and storing a to-be-returned state corresponding to the target questionnaire. And if the initial processing state exists, replacing the initial processing state by using the state to be returned.
After the target link pushing is successful, recording a processing state corresponding to the target questionnaire; and the processing state is stored subsequently, so that the intelligent updating of the processing state of the initial processing state is realized, the business personnel can carry out matched processing measures on the target user according to the processing state, and the work experience of the business personnel is improved.
It should be emphasized that, to further ensure the privacy and security of the target feedback data, the target feedback data may also be stored in a node of a blockchain.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
With further reference to fig. 3, as an implementation of the method shown in fig. 2 described above, the present application provides an embodiment of a data processing apparatus, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 3, the data processing apparatus 300 according to the present embodiment includes: a first determining module 301, a first obtaining module 302, a first generating module 303, a first pushing module 304, a first receiving module 305, a converting module 306 and a first displaying module 307. Wherein:
A first determining module 301, configured to determine a target user that meets a preset questionnaire issuing condition;
the first obtaining module 302 is configured to obtain a target task type of an audit task corresponding to the target user;
a first generation module 303, configured to obtain a target questionnaire corresponding to the target task type, and generate a target link corresponding to the target questionnaire;
a first pushing module 304, configured to push the target link to the target user;
the first receiving module 305 is configured to receive feedback data corresponding to the target questionnaire returned after the target user processes the target link;
the conversion module 306 is configured to perform conversion processing on the feedback data, so as to obtain converted target feedback data;
and the first display module 307 is configured to display the target feedback data in a workbench interface of a target auditor corresponding to the audit task.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some optional implementations of this embodiment, the first pushing module 304 includes:
The first acquisition sub-module is used for acquiring the user information of the target user;
the determining submodule is used for determining the touch mode of the target user based on the user information;
and the pushing sub-module is used for pushing the target link to the target user based on the touch mode.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some optional implementations of this embodiment, the data processing apparatus further includes:
the second receiving module is used for receiving a questionnaire configuration request triggered by an operator;
the acquisition module is used for acquiring facial feature information of the operators;
the verification module is used for randomly screening a specified number of specified features from the facial biological feature information and carrying out identity verification on the operator based on the specified features;
the second display module is used for displaying a preset questionnaire configuration page if the identity verification is passed;
the third receiving module is used for receiving configuration information filled in the questionnaire configuration page by the operator;
the second generation module is used for generating a corresponding questionnaire based on the configuration information;
And the storage module is used for storing the questionnaire.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some alternative implementations of the present embodiment, the specified features include at least a nose size feature and a lip shape feature; the verification module comprises:
the second acquisition sub-module is used for acquiring personal information of the operator;
a third obtaining sub-module, configured to obtain standard nose size features corresponding to the personal information from a preset identity information database;
the first verification sub-module is used for carrying out similar verification on the nose size characteristics and the standard nose size characteristics;
a fourth obtaining sub-module, configured to obtain, from the identity information database, a standard lip shape feature corresponding to the personal information if the verification passes;
the second checking sub-module is used for carrying out similarity checking on the lip shape characteristics and the standard lip shape characteristics;
and the judging sub-module is used for judging that the operator passes the identity verification if the verification passes, or else judging that the operator fails the identity verification.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some optional implementations of this embodiment, the data processing apparatus further includes:
the second acquisition module is used for acquiring a preset questionnaire verification rule;
the verification module is used for verifying the feedback data based on the questionnaire verification rule and judging whether the feedback data accords with a preset integrity condition or not;
and the execution module is used for executing the flow of the questionnaire resending processing to the target user if the integrity condition is not met.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some optional implementations of this embodiment, the data processing apparatus further includes:
the second acquisition module is used for acquiring a service case corresponding to the auditing task;
the second determining module is used for determining a target salesman corresponding to the business case;
the third generation module is used for generating the prompting reminding information corresponding to the target questionnaire;
And the second pushing module is used for pushing the prompting reminding information to the target salesman.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In some optional implementations of this embodiment, the data processing apparatus further includes:
the recording module is used for recording the processing state corresponding to the target questionnaire after the target link is pushed successfully;
and the module is used for storing the processing state.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data processing method in the foregoing embodiment one by one, and are not described herein again.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 4, fig. 4 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is typically used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a data processing method. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.
The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, such as computer readable instructions for executing the data processing method.
The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
in the embodiment of the application, a target user meeting preset questionnaire issuing conditions is firstly determined; then obtaining a target task type of an audit task corresponding to the target user; then, acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire; pushing the target link to the target user, and receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link; further converting the feedback data to obtain converted target feedback data; and finally, displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task. The embodiment of the application provides a questionnaire return on-line data processing mode, which enables a target user to directly process the target link on line and return feedback data corresponding to the target questionnaire by automatically sending the target link containing the target questionnaire to a target user meeting the questionnaire issuing condition, and then displays the obtained target feedback data after conversion processing of the feedback data on a workbench interface of a target auditor corresponding to the auditing task so as to complete auditing processing of the feedback data by the target auditor. The above questionnaire return line up processing mode is completely independent of the offline operation of the agent, no additional expense of express delivery or agent leg running delivery exists, the workload of the agent is effectively reduced, the questionnaire return processing cost is reduced, the return flow processing efficiency is improved, the return experience and satisfaction of the user are improved, the working efficiency of auditors is improved, and further the nuclear insurance operation efficiency is improved.
The present application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the data processing method as described above.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
in the embodiment of the application, a target user meeting preset questionnaire issuing conditions is firstly determined; then obtaining a target task type of an audit task corresponding to the target user; then, acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire; pushing the target link to the target user, and receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link; further converting the feedback data to obtain converted target feedback data; and finally, displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task. The embodiment of the application provides a questionnaire return on-line data processing mode, which enables a target user to directly process the target link on line and return feedback data corresponding to the target questionnaire by automatically sending the target link containing the target questionnaire to a target user meeting the questionnaire issuing condition, and then displays the obtained target feedback data after conversion processing of the feedback data on a workbench interface of a target auditor corresponding to the auditing task so as to complete auditing processing of the feedback data by the target auditor. The above questionnaire return line up processing mode is completely independent of the offline operation of the agent, no additional expense of express delivery or agent leg running delivery exists, the workload of the agent is effectively reduced, the questionnaire return processing cost is reduced, the return flow processing efficiency is improved, the return experience and satisfaction of the user are improved, the working efficiency of auditors is improved, and further the nuclear insurance operation efficiency is improved.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (10)
1. A method of data processing comprising the steps of:
determining target users meeting preset questionnaire issuing conditions;
acquiring a target task type of an audit task corresponding to the target user;
acquiring a target questionnaire of the target task type, and generating a target link corresponding to the target questionnaire;
pushing the target link to the target user;
receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link;
converting the feedback data to obtain converted target feedback data;
and displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
2. The data processing method according to claim 1, wherein the step of pushing the target link to the target user specifically comprises:
acquiring user information of the target user;
determining a touch manner of the target user based on the user information;
and pushing the target link to the target user based on the touch mode.
3. The data processing method according to claim 1, characterized by further comprising, before the step of acquiring a target questionnaire of the target task type and generating a target link corresponding to the target questionnaire:
Receiving a questionnaire configuration request triggered by an operator;
collecting facial feature information of the operator;
randomly screening a specified number of specified features from the facial biological feature information, and carrying out identity verification on the operator based on the specified features;
if the identity verification is passed, displaying a preset questionnaire configuration page;
receiving configuration information filled in the questionnaire configuration page by the operator;
generating a corresponding questionnaire based on the configuration information;
the questionnaire is stored.
4. A data processing method according to claim 3, wherein the specified features include at least a nose size feature and a lip shape feature; the step of authenticating the operator based on the specified feature specifically includes:
acquiring personal information of the operator;
acquiring standard nose size characteristics corresponding to the personal information from a preset identity information database;
performing similarity verification on the nose size features and the standard nose size features;
if the verification is passed, acquiring standard lip shape characteristics corresponding to the personal information from the identity information database;
Performing similarity verification on the lip shape features and the standard lip shape features;
and if the verification is passed, judging that the operator passes the authentication, otherwise, judging that the operator fails the authentication.
5. The data processing method according to claim 1, further comprising, after the step of receiving feedback data corresponding to the target questionnaire returned after the target user processes the target link:
acquiring a preset questionnaire verification rule;
checking the feedback data based on the questionnaire checking rule, and judging whether the feedback data accords with a preset integrity condition;
and if the integrity condition is not met, executing a questionnaire resending process flow for the target user.
6. The data processing method according to claim 1, further comprising, after the step of pushing the target link to the target user:
acquiring a business case corresponding to the auditing task;
determining a target service person corresponding to the service case;
generating a prompting reminding message corresponding to the target questionnaire;
pushing the prompting reminding information to the target service staff.
7. The data processing method according to claim 1, further comprising, after the step of pushing the target link to the target user:
after the target link pushing is successful, recording a processing state corresponding to the target questionnaire;
and storing the processing state.
8. A data processing apparatus, comprising:
the first determining module is used for determining target users meeting preset questionnaire issuing conditions;
the first acquisition module is used for acquiring a target task type of an audit task corresponding to the target user;
the first generation module is used for acquiring a target questionnaire of the target task type and generating a target link corresponding to the target questionnaire;
the first pushing module is used for pushing the target link to the target user;
the first receiving module is used for receiving feedback data corresponding to the target questionnaire, which is returned after the target user processes the target link;
the conversion module is used for carrying out conversion treatment on the feedback data to obtain converted target feedback data;
and the first display module is used for displaying the target feedback data in a workbench interface of a target auditor corresponding to the auditing task.
9. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the data processing method of any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon computer-readable instructions which, when executed by a processor, implement the steps of the data processing method according to any of claims 1 to 7.
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