CN115545889A

CN115545889A - Data processing method, device, electronic equipment, storage medium and product

Info

Publication number: CN115545889A
Application number: CN202211203948.8A
Authority: CN
Inventors: 陈文森
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2022-09-29
Filing date: 2022-09-29
Publication date: 2022-12-30

Abstract

The embodiment of the invention discloses a data processing method, a data processing device, electronic equipment, a storage medium and a product, and relates to the technical field of big data. The method comprises the following steps: sending a list of suspected loss objects obtained through pre-screening to an operator system, checking object information of the suspected loss objects through the operator system to obtain corresponding object types, receiving object intermediate identifications automatically generated by the operator system in response to the fact that the object types of the suspected loss objects are touch objects, sending the object intermediate identifications and debt information of the suspected loss objects to an intelligent robot, calling the suspected loss objects according to the object intermediate identifications through the intelligent robot to obtain corresponding call feedback results, and marking loss repair results of the suspected loss objects according to the call feedback results. According to the embodiment of the invention, automatic lost connection repairing can be realized for the user, the labor cost is saved, the success rate of repairing the lost connection user is improved, and the efficiency of processing overdue loans of the user is improved.

Description

Data processing method, device, electronic equipment, storage medium and product

Technical Field

The present invention relates to the field of big data technologies, and in particular, to a data processing method and apparatus, an electronic device, a storage medium, and a product.

Background

At present, the property quality control work of the large retail credit business faces a larger pressure, the situation of urging to accept is severe, the difficulty in direct and effective communication with overdue customers is the biggest pain point in the management of the overdue loan, the processing efficiency of the overdue loan is slowed down by the lost contacts of a large number of overdue customers, and the large number of lost contacts of the overdue customers are degraded into bad conditions.

In the prior art, the search of the clients who lose contact with overdue loan repayment is mainly divided into two types, one type is a contact mode reserved by the clients when the clients transact other businesses in a bank, but the contact mode is usually invalid; the other is to rely on various contact details that are retained by the customer manager when in ordinary contact with the customer, which is also generally difficult for retail customers.

Disclosure of Invention

In view of the above, the present invention provides a data processing method, an apparatus, an electronic device, a storage medium, and a product, which can effectively solve the defect that manual search is required in the process of searching for an offline user, implement automatic offline repair for the user, save labor cost, and improve the success rate of repair for the offline user and the efficiency of processing overdue loans for the user.

According to an aspect of the present invention, an embodiment of the present invention provides a data processing method, including:

sending a list of suspected unconnected objects obtained through pre-screening to an operator system, and verifying object information of the suspected unconnected objects through the operator system to obtain corresponding object types; wherein, the list of suspected unconnected objects at least comprises one suspected unconnected object;

receiving an object intermediate identifier automatically generated by the operator system in response to the object type of the suspected unlink object being a reachable object;

sending the object intermediate identification and the debt item information of the suspected loss object to an intelligent robot so as to call the suspected loss object through the intelligent robot according to the object intermediate identification to obtain a corresponding call feedback result;

and marking the loss of contact repair result of the suspected loss of contact object according to the call feedback result.

According to another aspect of the present invention, another data processing method is further provided, which is applied to an intelligent robot, and includes:

receiving object intermediate identification and debt information of suspected unlink objects in a suspected unlink object list sent by a financial system;

calling the suspected lost connection object according to the object intermediate identification to obtain a corresponding call feedback result;

and sending the call feedback result to the financial system so as to mark the loss connection repairing result of the suspected loss connection object through the financial system.

According to another aspect of the present invention, there is also provided a data processing apparatus applied to a financial system, the apparatus including:

the system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a suspected unlink object list obtained by pre-screening to an operator system so as to verify object information of the suspected unlink object through the operator system to obtain a corresponding object type; wherein, the list of suspected unconnected objects at least comprises one suspected unconnected object;

a receiving module, configured to receive an object intermediate identifier automatically generated by the operator system in response to that an object type of the suspected unlink object is a reachable object;

the second sending module is used for sending the intermediate object identifier and the debt item information of the suspected unlink object to the intelligent robot so as to call the suspected unlink object through the intelligent robot according to the intermediate object identifier to obtain a corresponding call feedback result;

and the marking module is used for marking the loss of contact repair result of the suspected loss of contact object according to the call feedback result.

According to another aspect of the present invention, another data processing apparatus is further provided, which is applied to an intelligent robot, and includes:

the receiving module is used for receiving the object intermediate identification and the debt item information of the suspected unlink object in the suspected unlink object list sent by the financial system;

the calling module is used for calling the suspected inconnected object according to the object intermediate identification to obtain a corresponding call feedback result;

and the sending module is used for sending the call feedback result to the financial system so as to mark the loss connection repairing result of the suspected loss connection object through the financial system.

According to another aspect of the present invention, an embodiment of the present invention further provides a data processing system, including:

a financial system, an operator system and an intelligent robot; the operator system and the intelligent robot are in communication connection with the financial system;

sending a list of suspected unlink objects obtained by pre-screening to an operator system through the financial system so as to verify the object information of the suspected unlink objects through the operator system; when the object type of the suspected loss object is a reachable object, receiving an object intermediate identifier automatically generated by the operator system through the financial system, and sending the object intermediate identifier and the debt item information of the suspected loss object to the intelligent robot, so that the intelligent robot calls the suspected loss object according to the object intermediate identifier to obtain a corresponding calling result; and marking the loss of contact repair result of the suspected loss of contact object according to the calling result.

According to another aspect of the present invention, an embodiment of the present invention further provides an electronic device, where the electronic device includes:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the data processing method according to any of the embodiments of the present invention.

According to another aspect of the present invention, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions for causing a processor to implement the data processing method according to any embodiment of the present invention when the computer instructions are executed.

According to another aspect of the present invention, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the data processing method according to any embodiment of the present invention.

According to the technical scheme, the list of suspected unlink objects obtained through pre-screening is sent to the operator system, the operator system is used for verifying object information of the suspected unlink objects to obtain corresponding object types, the object intermediate identification automatically generated by the operator system is received under the condition that the object types are touchable objects, the object intermediate identification and the debt item information of the suspected unlink objects are sent to the intelligent robot, the suspected unlink objects are called through the intelligent robot according to the object intermediate identification to obtain corresponding call feedback results, and the unlink repair results of the suspected unlink objects are marked, so that the defect that manual search is needed in the process of searching the unlink users can be effectively overcome, automatic unlink repair of the users is achieved, labor cost is saved, the success rate of repairing the unlink users and the efficiency of handling over-term loans of the users can be improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention;

FIG. 2 is a flow chart of another data processing method according to an embodiment of the invention;

FIG. 3 is a flowchart of another data processing method according to an embodiment of the present invention;

FIG. 4 is a flowchart of another data processing method according to an embodiment of the present invention;

fig. 5 is a block diagram of a data processing apparatus according to an embodiment of the present invention;

FIG. 6 is a block diagram of another data processing apparatus according to an embodiment of the present invention;

FIG. 7 is a block diagram of a data processing system according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

According to the technical scheme, the data acquisition, storage, use, processing and the like meet the relevant regulations of national laws and regulations.

In an embodiment, fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention, where the embodiment is applicable to a situation when data processing is performed on data of a financial system, and the method may be executed by a data processing apparatus, where the data processing apparatus may be implemented in a form of hardware and/or software, and the data processing apparatus may be configured in an electronic device. As shown in fig. 1, the method is applied to a financial system, and includes the following specific steps:

s110, sending the list of suspected unlink objects obtained through pre-screening to an operator system, and verifying object information of the suspected unlink objects through the operator system to obtain corresponding object types; wherein, the suspected unlink object list at least comprises one suspected unlink object.

The list of suspected unlink objects can be understood as a list of unlink users who are not in contact with the list but are in contact with the list manually by bank staff. Certainly, the suspected unlink object list at least includes one suspected unlink object, which may be understood as that the suspected unlink object list includes one or more users suspected to be unlink.

In this embodiment, the object information may also be referred to as user information, which refers to basic user information corresponding to a suspected unleashed user, and the basic user information includes various information set as public by the user.

In this embodiment, the object type refers to a user type corresponding to whether a suspected unlink user can be matched with an operator system. In an embodiment, the object types include: a triggerable object; the object is inaccessible. The object type may be a reachable type corresponding to a suspected lost user when the suspected lost user can be matched in the operator system, or may also be an unreachable type corresponding to a suspected lost user when the suspected lost user cannot be matched in the operator system, which is not limited in this embodiment.

In this embodiment, a suspected unlink object list composed of each suspected unlink object may be obtained through contact of a staff of the financial system by pre-screening, and then the obtained suspected unlink object list is sent to the operator system, so that matching verification is performed on object information sent by the financial system and object information of each suspected unlink object in the operator system through the operator system, and an object type corresponding to the object information is obtained according to a matching verification condition. It should be noted that the operator system may verify the user corresponding to the object information through the object information corresponding to each suspected unlink object, where each object information corresponds to a corresponding object type, and may determine whether the suspected unlink user in the current suspected unlink object list is reachable according to the object type.

And S120, receiving the intermediate object identifier automatically generated by the operator system in response to the object type of the suspected unlink object being the reachable object.

The reachable object may also be referred to as a reachable user, which refers to a user that a suspected offline object may be matched to in the operator system. The intermediate object identifier can be understood as an intermediate identifier number corresponding to a reachable user, and the intermediate object identifier corresponding to a reachable object is unique.

In one embodiment, the object intermediate identification is determined by one of the following parameters: the communication number with the longest on-line time; and the communication number with the longest call duration.

In this embodiment, the communication number with the longest duration in the network and/or the communication number with the longest duration in the call may be returned by the operator system designated by the financial system, or may be returned by the operator system by selecting one of the on-network condition and the call duration and frequency condition, which is not limited herein.

In this embodiment, when the object type of the suspected unlink object is a reachable object, the intermediate object identifier automatically generated by the operator system is received and marked as a reachable object, where it should be noted that each reachable object corresponds to a corresponding intermediate object identifier, it may be understood that the reachable objects and the intermediate object identifiers may be in a one-to-one correspondence relationship, and the intermediate object identifier may be an identifier virtualized by the operator system, so as to contact a corresponding user through the intermediate object identifier.

S130, sending the intermediate object identification and the debt item information of the suspected unlink object to the intelligent robot, and calling the suspected unlink object according to the intermediate object identification through the intelligent robot to obtain a corresponding call feedback result.

Wherein, the debt information refers to the information of debt to be returned of the user in the bank system. The conversation feedback result can be understood as a result fed back by the intelligent robot when the intelligent robot is in conversation with the reachable user, and can be various results such as user still being disconnected, user not being matched, user being matched and the like.

In this embodiment, the debt item information of the suspected unlink object corresponding to the reachable identifier may be associated from the bank system through the reachable identifier fed back by the operator system, and the object intermediate identifier automatically generated by the operator system sends the object intermediate identifier and the debt item information of the suspected unlink object to the intelligent robot together, so that the intelligent robot calls the suspected unlink object according to the object intermediate identifier to obtain a corresponding call feedback result. It should be noted that, the related dialects corresponding to different suspected unlink objects may be preset, and the suspected unlink objects may be called through the designed dialects.

And S140, marking the loss of contact repair result of the suspected loss of contact object according to the call feedback result.

The result of the loss of contact repair may include success of the loss of contact repair on the suspected loss of contact object and failure of the loss of contact repair on the suspected loss of contact object, and the suspected loss of contact object may be correspondingly marked according to the result of the loss of contact repair.

In this embodiment, the result of the suspected loss of contact repair of the object may be correspondingly marked according to the call feedback result fed back by the intelligent robot, so as to classify the user according to the marked information. Of course, the marks of the failure of the offline repair may be one type, or different partitions may be performed according to the types of the failure of the offline repair and the types of the failure of the offline repair, which is not limited herein. Exemplarily, if the result of the lost connection repair is lost connection repair failure, the result is marked as lost connection repair failure, and if the result is lost connection repair success, the result is marked as lost connection repair success; specific contents of the failure of the lost connection repair and the success of the lost connection repair can be marked. For example, in the case of successful offline repair, the client cooperation may be marked according to the type, the client non-cooperation, and the like, and the present implementation is not limited herein.

In an embodiment, fig. 2 is a flowchart of another data processing method according to an embodiment of the present invention, and in this embodiment, based on the foregoing embodiments, further refinement is performed, and object information of a suspected unleashed object is checked by the operator system, so as to obtain a corresponding object type, which is further refined, as shown in fig. 2, the data processing method in this embodiment may specifically include the following steps:

s210, acquiring a preset screening rule.

In this embodiment, a bank worker may perform some discussion on a user who is out of term and is to be paid, and if there are situations that the user is not in contact many times manually, the current user is considered to be in an offline state, and at this time, the worker may perform registration and remarking on a suspected offline worker in a bank system. It can be understood that the screening rule can be determined according to various manual or designed screening strategies that are recorded as unavailable users, connected but not fed back by the users themselves and the like in daily discussion, and a pre-configured screening rule is obtained so as to screen out the list of suspected unlink objects through the registration and remarking of suspected unlink people.

S220, screening the pre-established object initial list according to a screening rule to obtain a corresponding suspected unlinked object list.

The object initial list refers to a user list corresponding to all users who are overdue for payment.

In this embodiment, as the bank staff will perform corresponding registration and remarking in the bank system for the user who is recorded as unavailable contact for daily discussion, is in contact but feeds back that the user is not the user himself or the user who visits to find that no one is available, the pre-established object initial list can be pre-configured in the bank system according to the screening rule, so as to obtain the suspected lost object list formed by the suspected lost objects.

And S230, sending the list of suspected unconnected objects obtained through pre-screening to an operator system so as to determine the matching condition between the object information of the suspected unconnected objects and a preset database through the operator system.

The preset database refers to a user information database in the financial system, and the database contains object information of suspected inconnected objects.

In this embodiment, the list of suspected unlink objects obtained by pre-screening is sent to the operator system, so that the operator system determines the matching condition between the object information of the suspected unlink objects and the preset database. Of course, the matching condition may be that the object information matches with the object information in the preset database, or that the object information does not match with the object information in the preset database.

Specifically, the financial system includes object information corresponding to each suspected unlink object, and in the operator system, each suspected unlink object includes object information corresponding to the operator system, and the object information may include user basic information of a user when the operator system handles the mobile phone card, and the user basic information may include information set by the user as public, for example, and the object information in the operator system is matched with the object information in the financial system to determine a matching condition.

S240, determining the object type of the suspected unlink object according to the matching condition through the operator system.

In this embodiment, the operator system may determine the object type of the suspected unlink object according to the matching condition. Specifically, the operator system may determine a check identifier of the suspected unlink object according to the matching condition, and determine the object type of the suspected unlink object according to the check identifier.

In this embodiment, when the object information in the operator system matches the object information in the financial system, it is determined that the object type of the suspected unlink object is a reachable object, and when the object information in the operator system does not match the object information in the financial system, it is determined that the object type of the suspected unlink object is a unreachable object.

In one embodiment, determining the object type of the suspected unlinked object according to the matching condition by the operator system includes:

determining a check mark of a suspected unlink object according to the matching condition through an operator system;

and determining the object type of the suspected unleashed object according to the check identifier through the operator system.

The check identifier refers to an identifier corresponding to whether the suspected unlink object can be matched with the user in the operator system. It should be noted that the verification mark may include a reachable mark and an unreachable mark.

In this embodiment, the operator system may determine the check identifier of the suspected unlink object according to the matching condition, and the operator system may determine the object type of the suspected unlink object according to the check identifier. Specifically, when the suspected unlink object can be matched with the object information in the operator system, the corresponding verification identifier is a reachable identifier; when the suspected unlink object cannot be matched with the object information in the operator system, the corresponding check mark is an unreachable mark, and the object type of the suspected unlink object can be determined through the check mark. It should be noted that each reachable object corresponds to a corresponding reachable identifier, and the operator system also marks a corresponding unreachable identifier for each reachable object, where the reachable identifier and the unreachable identifier can indicate whether the object type of the suspected missed object is a reachable object or an unreachable object. For example, in the case where the object type of the suspected unconnected object is a reachable object, the reachable identifier may be represented as "1", "Y", or the like, and in the case where the object type of the suspected unconnected object is an unreachable object, the reachable identifier may be represented as "0", "N", or the like.

And S250, responding to the object type of the suspected unlink object as a reachable object, and receiving an object intermediate identifier automatically generated by an operator system.

And S260, determining the corresponding debt type according to the debt information of the suspected unlawful object.

In this embodiment, the debt item type corresponding to the debt item information may be associated according to the debt item information of the suspected unlawful object. Wherein the debt type may be a type of loan.

And S270, determining a call strategy corresponding to the suspected unlink object according to the type of the debt item.

The call strategy can be understood as a pre-designed related call strategy of the intelligent robot to the suspected loss contact object.

In this embodiment, after determining the corresponding debt item type according to the debt item information of the suspected loss object, the call policy corresponding to the suspected loss object by the intelligent robot may be determined according to the debt item type, and the purpose of making the user pay may be achieved through the corresponding call policy. Of course, the designed call policy is different for different suspected unlink objects. For example, when the suspected unlink object is a house loan, after confirming the user, the verification of the related debt is started, and the possible risks faced by not returning the debt are illustrated.

And S280, sending the call strategy to the intelligent robot.

In this embodiment, after the call policy corresponding to the suspected unlink object is determined, the call policy is sent to the intelligent robot according to the corresponding call policy.

And S290, sending the intermediate object identifier and the debt item information of the suspected unlink object to the intelligent robot, and calling the suspected unlink object according to the intermediate object identifier through the intelligent robot to obtain a corresponding call feedback result.

And S2100, marking the loss of contact repair result of the suspected loss of contact object according to the call feedback result.

And S2110, responding to the lost connection repairing result that the lost connection repairing fails, and calling the suspected lost connection object again in a repeated calling mode or a manual calling mode.

In this embodiment, when the result of the lost connection restoration is that the lost connection restoration fails, a repeat call mode or a manual call mode may be adopted to call the suspected lost connection object again, so as to further improve the success rate of the lost connection restoration. For example, in the case where the missed call repair failed marked as called no-one, other time periods may be selected at which to place the call.

And S2120, in response to the result that the lost connection repairing is successful, updating the suspected lost connection object list.

In this embodiment, when the result of the offline repair is that the offline repair is successful, the list of suspected offline objects is updated.

According to the technical scheme of the embodiment of the invention, the suspected loss-of-contact object list obtained by pre-screening is sent to the operator system, so that the matching condition between the object information of the suspected loss-of-contact object and the preset database is determined through the operator system, the object type of the suspected loss-of-contact object is determined through the operator system according to the matching condition, and suspected loss-of-contact clients can be accurately matched; the method comprises the steps of determining a corresponding debt item type through debt item information of a suspected lost connection object, determining a call strategy corresponding to the suspected lost connection object according to the debt item type, sending the call strategy to an intelligent robot, responding to a lost connection repairing result to be a lost connection repairing failure, calling the suspected lost connection object again in a repeated calling mode or a manual calling mode, effectively solving the defect that manual work is needed in the current lost connection searching process, achieving automatic lost connection repairing on a user, and saving labor cost.

In an embodiment, fig. 3 is a flowchart of another data processing method provided in an embodiment of the present invention, where the embodiment is applicable to a case when data processing is performed on data of an operator system, and the method may be executed by a data processing apparatus, where the data processing apparatus may be implemented in a form of hardware and/or software, and the data processing apparatus may be configured in an electronic device. In this embodiment, a data processing method of the intelligent robot side is described on the basis of the above embodiments. The explanation of the terms such as the object intermediate identifier, the debt item information, the loss connection restoration result, and the like in the present embodiment is explained in the above embodiment, and the present embodiment is not repeated here.

As shown in fig. 3, the method is applied to an intelligent robot, and the data processing method in this embodiment may specifically include the following steps:

s310, receiving the object intermediate identification and the debt item information of the suspected unlink object in the suspected unlink object list sent by the financial system.

And S320, calling the suspected loss-of-connection object according to the intermediate object identifier to obtain a corresponding call feedback result.

In one embodiment, calling a suspected inconnected object according to the object intermediate identifier to obtain a corresponding call feedback result includes:

calling the suspected lost-connection object according to the intermediate object identification through the intelligent robot;

responding to the success of the call, establishing call connection with the suspected lost connection object through the intelligent robot according to a call strategy to obtain a corresponding call feedback result;

and responding to the call failure, and taking the call result as a corresponding call feedback result.

And S330, sending the call feedback result to a financial system so as to mark the loss of contact repair result of the suspected loss of contact object through the financial system.

In this embodiment, the method includes receiving an object intermediate identifier and debt item information of a suspected unlink object in a suspected unlink object list sent by a financial system, calling the suspected unlink object according to the object intermediate identifier to obtain a corresponding call feedback result, and sending the call feedback result to the financial system, so that the financial system marks the unlink repair result of the suspected unlink object to achieve automatic unlink repair of a user, manpower cost is saved, and the success rate of unlink user repair and the handling efficiency of overdue loans of the user are improved.

In an embodiment, to facilitate better understanding of the data processing method, this embodiment may be further described as a preferred embodiment of the data processing method, and fig. 4 is a flowchart of another data processing method according to an embodiment of the present invention. In this embodiment, the data processing method is further described by interaction among the financial system side, the operator side, and the intelligent robot. The embodiment of the invention provides a full-automatic lost connection repairing method, which can effectively overcome the defect that manual work is required in the current lost connection searching process and effectively improve the success rate of lost connection repairing. The reachable identifier and the unreachable identifier in this embodiment are the tag identifiers in the above embodiments.

As shown in fig. 4, the specific steps are as follows:

s410, screening out a suspected unlink client list according to the screening rule.

S420, sending the screened suspected unleashed client list to an operator system,

and S430, matching according to the object information of the suspected unlink object in the suspected unlink client list, and determining the object type of the suspected unlink object according to the matching result.

In this embodiment, if the matching result is that the object information in the operator system matches with the object information in the financial system, the suspected unlink object is marked as a reachable identifier; and if the matching result is that the object information in the operator system is not matched with the object information in the financial system, marking the suspected lost object as an inaccessible user.

And S440, receiving an object intermediate identifier automatically generated by an operator system in response to the object type of the suspected unlink object being a reachable object.

And S450, receiving the feedback of the operator system, and associating the debt item information of the suspected loss contact object according to the object information corresponding to the reachable user.

And S460, sending the intermediate identification of the object and the debt item information of the suspected unleared object to the intelligent robot.

And S470, calling the suspected loss-of-connection object according to the intermediate object identifier to obtain a corresponding call feedback result.

And S480, sending a call feedback result.

And S490, marking the suspected lost connection object according to the call feedback result, optionally calling the suspected lost connection object which fails in lost connection restoration again or upgrading the suspected lost connection object into a manual calling mode, and updating the list of the suspected lost connection object for the suspected lost connection object which succeeds in lost connection restoration.

In an embodiment, fig. 5 is a block diagram of a data processing apparatus according to an embodiment of the present invention, which is suitable for a case when data preprocessing is performed on data of a financial system, and the apparatus may be implemented by hardware/software. The method can be configured in the electronic device to implement a data processing method in the embodiment of the invention. As shown in fig. 5, the apparatus includes: a first transmitting module 510, a receiving module 520, a second transmitting module 530, and a marking module 540.

The first sending module 510 is configured to send a list of suspected unlinked objects obtained by pre-screening to an operator system, so as to check object information of the suspected unlinked objects by using the operator system, and obtain a corresponding object type; wherein, the list of suspected unconnected objects at least comprises one suspected unconnected object;

a receiving module 520, configured to receive an intermediate object identifier automatically generated by the operator system in response to that an object type of the suspected unlink object is a reachable object;

a second sending module 530, configured to send the object intermediate identifier and the debt item information of the suspected unleashed object to the intelligent robot, so that the intelligent robot calls the suspected unleashed object according to the object intermediate identifier to obtain a corresponding call feedback result;

and a marking module 540, configured to mark the result of the suspected loss of contact repair of the suspected loss of contact object according to the call feedback result.

In the embodiment of the invention, the first sending module sends the list of suspected unlink objects obtained by pre-screening to the operator system, so that the operator system checks the object information of the suspected unlink objects to obtain the corresponding object types, the receiving module receives the object intermediate identification automatically generated by the operator system under the condition that the object types are reachable objects, and the second sending module sends the object intermediate identification and the debt information of the suspected unlink objects to the intelligent robot, so that the suspected unlink objects are called by the intelligent robot according to the object intermediate identification to obtain the corresponding call feedback result, and the marking module marks the unlink repair result of the suspected unlink objects, therefore, the defect that manual searching is needed in the process of searching the unlink users can be effectively solved, automatic unlink repair of the users is realized, the labor cost is saved, and the success rate of unlink user repair and the efficiency of dealing with the user overdue loan can be improved.

In an embodiment, the data processing apparatus further includes:

the rule obtaining module is used for obtaining a preset screening rule;

and the list determining module is used for screening the pre-established object initial list according to the screening rule to obtain a corresponding suspected loss-of-contact object list.

In one embodiment, the data processing apparatus further includes:

and the calling module is used for calling the suspected lost connection object again by adopting a repeated calling mode or a manual calling mode in response to the lost connection repairing result being a lost connection repairing failure.

In an embodiment, the data processing apparatus further includes:

and the updating module is used for updating the suspected loss-of-contact object list in response to the loss-of-contact repairing result being that the loss-of-contact repairing is successful.

In one embodiment, the first sending module 510 includes:

the matching unit is used for sending a suspected unlink object list obtained by pre-screening to an operator system, and determining the matching condition between the object information of the suspected unlink object and a preset database through the operator system;

and the type determining unit is used for determining the object type of the suspected unlink object according to the matching condition through the operator system.

In one embodiment, the type determining unit includes:

an identifier determining subunit, configured to determine, by the operator system, a verification identifier of the suspected unlink object according to the matching condition;

and the type determining subunit is used for determining the object type of the suspected unlink object according to the check identifier through the operator system.

In one embodiment, the data processing apparatus further includes:

the type determining module is used for determining a corresponding debt item type according to the debt item information of the suspected loss object after the object intermediate identifier automatically generated by the operator system is received;

the strategy determining module is used for determining a call strategy corresponding to the suspected loss object according to the debt type;

and the sending module is used for sending the call strategy to the intelligent robot.

The data processing device provided by the embodiment of the invention can execute the data processing method applied to the financial system provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

In an embodiment, fig. 6 is a block diagram of another data processing apparatus according to an embodiment of the present invention, which is suitable for a case of performing data preprocessing on data of an operator system, and the apparatus may be implemented by hardware/software. The data processing method can be configured in the electronic equipment to realize the data processing method in the embodiment of the invention. As shown in fig. 6, the apparatus includes: a receiving module 610, a calling module 620, and a sending module 630.

The receiving module 610 is configured to receive an object intermediate identifier and debt information of a suspected unlink object in a suspected unlink object list sent by a financial system;

the calling module 620 is configured to call the suspected inconnected object according to the object intermediate identifier to obtain a corresponding call feedback result;

a sending module 630, configured to send the call feedback result to the financial system, so as to mark an offline repair result of the suspected offline object through the financial system.

According to the embodiment of the invention, the receiving module receives the object intermediate identification and the debt item information of the suspected unlink object in the suspected unlink object list sent by the financial system, the calling module calls the suspected unlink object according to the object intermediate identification to obtain the corresponding call feedback result, and the sending module sends the call feedback result to the financial system, so that the automatic unlink repair of the user can be realized by marking the unlink repair result of the suspected unlink object through the financial system, the labor cost is saved, the repair success rate of the unlink user and the disposal efficiency of the overdue loan of the user are improved.

In one embodiment, the calling module 620 includes:

the calling unit is used for calling the suspected unconnected object according to the object middle identification through the intelligent robot;

the first result determining unit is used for responding to call success and establishing call connection with the suspected lost connection object through the intelligent robot according to the call strategy so as to obtain a corresponding call feedback result;

and the second result determining unit is used for responding to the call failure and taking the call result as a corresponding call feedback result.

The data processing device provided by the embodiment of the invention can execute the data processing method applied to the operator system provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

In an embodiment, fig. 7 is a block diagram of a data processing system according to an embodiment of the present invention, the system is suitable for a case when data preprocessing is performed on financial data and operator data, the system may be implemented by hardware/software, and may be configured in an electronic device to implement a data processing method according to an embodiment of the present invention.

As shown in fig. 7, the system includes: a financial system 710, an operator system 720, and an intelligent robot 730; the operator system 720 and the intelligent robot 730 are both in communication connection with the financial system 710;

sending a list of suspected unlink objects obtained by pre-screening to an operator system through the financial system 710, so as to verify object information of the suspected unlink objects through the operator system 720; when the object type of the suspected unlink object is a reachable object, receiving an object intermediate identifier automatically generated by the operator system 720 through the financial system 710, and sending the object intermediate identifier and the debt item information of the suspected unlink object to the intelligent robot 730, so as to call the suspected unlink object through the intelligent robot 730 according to the object intermediate identifier to obtain a corresponding call result; and marking the result of the suspected loss of contact repair of the suspected loss of contact object according to the calling result.

In an embodiment, fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

Processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as a data processing method.

In some embodiments, the data processing method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the data processing method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data processing method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

In an embodiment, an embodiment of the present invention further includes a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the data processing method according to any embodiment of the present invention.

Computer program product in implementing the computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A data processing method is applied to a financial system and comprises the following steps:

sending a list of suspected unlink objects obtained by pre-screening to an operator system, and verifying object information of the suspected unlink objects through the operator system to obtain corresponding object types; the list of suspected unlink objects at least comprises one suspected unlink object;

sending the object intermediate identification and the debt item information of the suspected unleashed object to an intelligent robot so as to call the suspected unleashed object through the intelligent robot according to the object intermediate identification to obtain a corresponding call feedback result;

2. The method of claim 1, further comprising:

acquiring a preset screening rule;

and screening the pre-established object initial list according to the screening rule to obtain a corresponding suspected unlinked object list.

3. The method of claim 1, further comprising:

and in response to the lost connection repairing result is lost connection repairing failure, calling the suspected lost connection object again by adopting a repeated calling mode or a manual calling mode.

4. The method of claim 1, further comprising:

and updating the list of the suspected unconnected objects in response to the unconnected repairing result being that the unconnected repairing is successful.

5. The method of claim 1, wherein the checking the object information of the suspected unlink object by the operator system to obtain a corresponding object type comprises:

determining the matching condition between the object information of the suspected unlink object and a preset database through the operator system;

and determining the object type of the suspected unlink object according to the matching condition through the operator system.

6. The method of claim 5, wherein the determining, by the operator system, the object type of the suspected unleashed object according to the match comprises:

determining a verification identifier of the suspected unlink object according to the matching condition through the operator system;

and determining the object type of the suspected unlink object according to the check identifier through the operator system.

7. The method of claim 1, further comprising, after said receiving the object intermediate identifier automatically generated by the operator system:

determining a corresponding debt type according to the debt information of the suspected unleashed object;

determining a call strategy corresponding to the suspected loss object according to the debt item type;

and sending the call strategy to the intelligent robot.

8. The method of claim 1, wherein the object intermediate identifier is determined by one of the following parameters: the communication number with the longest on-line time; and the communication number with the longest call duration.

9. A data processing method is applied to an intelligent robot and comprises the following steps:

calling the suspected unlinked object according to the object middle identification to obtain a corresponding conversation feedback result;

10. The method of claim 9, wherein the calling the suspected unlinked object according to the object intermediate identifier to obtain a corresponding call feedback result comprises:

calling the suspected lost-connection object according to the object intermediate identification through the intelligent robot;

responding to call success, and establishing call connection with the suspected lost connection object through the intelligent robot according to the call strategy to obtain a corresponding call feedback result;

11. A data processing apparatus, applied to a financial system, comprising:

a receiving module, configured to receive an object intermediate identifier automatically generated by the operator system in response to that the object type of the suspected unleashed object is a reachable object;

the second sending module is used for sending the object intermediate identification and the debt item information of the suspected loss object to the intelligent robot so as to call the suspected loss object through the intelligent robot according to the object intermediate identification to obtain a corresponding call feedback result;

12. A data processing device, which is applied to an intelligent robot, includes:

the system comprises a receiving module, a judging module and a sending module, wherein the receiving module is used for receiving object intermediate identification and debt item information of suspected unlink objects in a suspected unlink object list sent by a financial system;

13. A data processing system, comprising: a financial system, an operator system and an intelligent robot; the operator system and the intelligent robot are in communication connection with the financial system;

sending a list of suspected unlink objects obtained by pre-screening to an operator system through the financial system so as to verify object information of the suspected unlink objects through the operator system; when the object type of the suspected loss object is a reachable object, receiving an object intermediate identifier automatically generated by the operator system through the financial system, and sending the object intermediate identifier and the debt item information of the suspected loss object to the intelligent robot, so that the intelligent robot calls the suspected loss object according to the object intermediate identifier to obtain a corresponding calling result; and marking the result of the suspected loss of contact repair of the suspected loss of contact object according to the calling result.

14. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method of any one of claims 1-8 or 9.

15. A computer-readable storage medium storing computer instructions for causing a processor to perform the data processing method of any one of claims 1-9 or 10 when executed.

16. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, carries out the data processing method according to any one of claims 1-8 or 9.