CN111552981B - Insurance business attribution method and system based on block chain technology - Google Patents
Insurance business attribution method and system based on block chain technology Download PDFInfo
- Publication number
- CN111552981B CN111552981B CN202010340745.8A CN202010340745A CN111552981B CN 111552981 B CN111552981 B CN 111552981B CN 202010340745 A CN202010340745 A CN 202010340745A CN 111552981 B CN111552981 B CN 111552981B
- Authority
- CN
- China
- Prior art keywords
- business
- behavior information
- data
- service data
- private chain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Computer Security & Cryptography (AREA)
- General Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- General Health & Medical Sciences (AREA)
- Bioethics (AREA)
- Health & Medical Sciences (AREA)
- Finance (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Computing Systems (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The application discloses an insurance business attribution method based on a block chain technology, which comprises the following steps: receiving and storing service data generated by an insurance agent in various service channels, wherein the service data comprises service behavior information and customer behavior information; writing the service data into a headquarter private chain node and a branch private chain node respectively for data uplink, wherein the branch private chain nodes corresponding to different insurance agents are different; when the performance settlement is carried out, if the performance attribution disputes are generated, service data related to dispute agents are acquired from private chain nodes of a headquarter and private chain link points of a branch, consistency verification is carried out on the service data, after the verification is passed, service behavior information and customer behavior information of each dispute agent are read from the service data corresponding to the dispute agents, and the performance attribution of the service data is determined according to the service behavior information and the customer behavior information. The application can solve the problem of performance attribution disputes caused by difficult tracking of business data.
Description
Technical Field
The application relates to the technical field of insurance business data processing, in particular to an insurance business attribution method and system based on a block chain technology.
Background
In the service expansion process of insurance, the sales of insurance products are completed mainly through a plurality of offline activity links such as 'offer, visit, promotion, subscription', and the like, and relevant information is input into the information system of an insurance company or a subordinate branch agency thereof after a customer signs.
Along with the rapid popularization of the mobile internet, the service channels of the insurance agents are longer and longer, for example, related insurance services are developed in a network marketing mode such as a webpage, an APP program, a small program platform and the like, so that a customer is easily subjected to insurance sales by two or more insurance agents, and disputes are generated on the performance attribution of the customer. The business data of different insurance agents are distributed in the systems of different branch agents, so that the unified query is inconvenient, the business data of the client is difficult to track, and the performance attribution judgment related to the business data is difficult to judge through the system query related business data.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides an insurance business attribution method and system based on a blockchain technology, so as to solve the problem of performance attribution disputes caused by difficult tracking of insurance business data.
In order to achieve the above object, in a first aspect, an embodiment of the present application provides an insurance service attribution method based on a blockchain technology, including:
receiving and storing service data generated by an insurance agent in various service channels, wherein the service data comprises service behavior information and customer behavior information;
writing the service data into a headquarter private chain node and a branch private chain node respectively for data uplink, wherein the branch private chain nodes corresponding to different insurance agents are different;
when the performance settlement is carried out, if the performance attribution disputes are generated, service data related to dispute agents are acquired from headquarter private chain nodes and branch private chain link nodes, consistency verification is carried out on the service data, after the verification is passed, the service behavior information and the client behavior information of each dispute agent are read from the service data corresponding to the dispute agent, and the performance attribution of the service data is determined according to the service behavior information and the client behavior information.
Optionally, the business behavior information includes business behavior information provided to the target client and behavior occurrence time of providing business activity, the client behavior information includes feedback information and feedback occurrence time of the business activity, and determining performance attribution of the business data according to the business behavior information and the client behavior information includes:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
Optionally, the service data further includes an initiator identifier and a receiver identifier, the service behavior information is associated with the initiator identifier, and the client behavior information is associated with the receiver identifier;
when the business data is written into the headquarter private chain node and the branch private chain node respectively, the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
Optionally, when writing the service data into the headquarter private chain node and the branch private chain node respectively, the method further includes: encrypting and hashing the service data;
when the service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, the method further comprises the following steps: and carrying out hash consistency check on the service data, decrypting the service data after the check is completed, and reading service behavior information and customer behavior information in the service data.
In a second aspect, an embodiment of the present application provides an insurance service attribution system based on a blockchain technology, including:
the front-end data receiving module is used for receiving and storing service data generated by the insurance agent in various service channels, wherein the service data comprises service behavior information and customer feedback information;
a private chain module, comprising: the headquarter data node module is used for writing the business data of all agents into the headquarter private chain node; the plurality of branch data node modules are used for writing the business data of the insurance agent belonging to the branch agency into the corresponding branch private chain nodes;
the performance attribution judging module is used for acquiring service data related to the dispute agents from the headquarter private chain nodes and the branch private chain nodes, carrying out consistency check on the service data, reading service behavior information and customer feedback information of each dispute agent from the service data corresponding to the dispute agent after the service data passes the check, and determining the performance attribution of the service data according to the service behavior information and the customer feedback information.
Optionally, the business behavior information includes business behavior information provided to a target client and behavior occurrence time of providing a business activity, the client behavior information includes feedback information and feedback occurrence time of the business activity, and the performance attribution determining module determines the performance attribution of the business data according to the business behavior information and the client behavior information further includes:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
Optionally, the service data further includes an initiator identifier and a receiver identifier, the service behavior information is associated with the initiator identifier, and the client behavior information is associated with the receiver identifier;
the headquarter data node module writes the service data into a headquarter private chain node and the branch data node module writes the service data of an insurance agent belonging to a branch agency into the branch private chain node, and the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
Optionally, when the headquarter data node module writes the service data into a headquarter private chain node and the branch data node module writes the service data of an insurance agent to which the branch agency belongs into the branch private chain node, the method further includes: encrypting and hashing the service data;
when the service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, the method further comprises the following steps: and carrying out hash consistency check on the service data, decrypting the service data after the check is completed, and reading service behavior information and customer behavior information in the service data.
According to the technical system and the implementation method, the whole process from obtaining the user to the performance settlement of the insurance agent on the network is completed to perform behavior datamation and data uplink, so that the problem that business is difficult to trace caused by business data of the insurance agent in different organization systems is solved, the problem of performance attribution disputes caused by business disputes is further solved, the business efficiency of the insurance agent is improved, and the healthy development of business ecology of the insurance agent is promoted.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application.
FIG. 1 is a flow chart of an embodiment of a method for attributing insurance business based on blockchain technology according to the present application;
fig. 2 is a schematic block diagram of an embodiment of an insurance service attribution system based on a blockchain technology according to the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. Embodiments of the present application are intended to be within the scope of the present application as defined by the appended claims.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
Referring to fig. 1, in this embodiment, an insurance service attribution method based on a blockchain technology is provided, which includes:
step S1: and receiving and storing service data generated by the insurance agent in various service channels, wherein the service data comprises service behavior information and customer behavior information.
When the insurance agent carries out agent insurance product sales on an H5 page, an applet platform (including WeChat, payment treasures and the like) and other internet platforms, corresponding business data can be generated, and the business behaviors of the insurance agent in various network marketing channels can be written into a database by collecting and recording the data and carrying out normalization processing on the business data so as to facilitate the subsequent call and judgment of performance attribution when performance disputes are generated. The business data comprises business behavior information and customer behavior information, wherein the business behavior information is behavior data of operations and effects performed by an insurance agent in the process of selling insurance products, and comprises the behavior data generated by the fact that the insurance agent shares or forwards insurance product detail links to a target customer, provides product explanation, consultation and answering, interview reservation and the like on an own platform, and the customer behavior information comprises the behavior data generated by the fact that the target customer carries out associated feedback activities on the business behaviors provided by the insurance agent, such as clicking the insurance product links, sending product consultation and answering to the insurance agent, signing insurance product contracts and the like.
Step S2: and writing the service data into a headquarter private chain node and a branch private chain node respectively for data uplink, wherein the branch private chain nodes corresponding to different insurance agents are different.
The headquarter private chain node is a private chain node of the headquarter of the insurance company, and the branch private chain node is a private chain node of a branch agency subordinate to the insurance company. For the same sub-service data, private chain nodes which are respectively and indiscriminately written into a headquarter and a branch are uplink, and only users with relevant authorities can access and modify the data, and single nodes in the headquarter or the branch are prevented from deliberately hiding or falsifying the data, so that the situation of distrust of the data in the attribution of the performance is avoided.
Step S3: when the performance settlement is carried out, if the performance attribution disputes are generated, service data related to dispute agents are acquired from headquarter private chain nodes and branch private chain link nodes, consistency verification is carried out on the service data, after the verification is passed, the service behavior information and the client behavior information of each dispute agent are read from the service data corresponding to the dispute agent, and the performance attribution of the service data is determined according to the service behavior information and the client behavior information.
For example, if the target customer is sold by two insurance agents a and B from different branch authorities for the same insurance product C, and purchases the share of insurance product C. During the performance settlement, the insurance agent and the insurance agent B generate disputes on the performance attribution of the client. At this time, the private chain node of the headquarter and the private chain node of the branch acquire the business data a and the business data B generated by the insurance agent a and the insurance agent B in selling the insurance product C, the business data a acquired from the private chain node of the headquarter and the private chain node of the branch acquire the business data a, the business data B acquired from the private chain node of the headquarter and the private chain node of the branch acquire the business data B, and after the consistency check of the business data a and the business data B is completed, the business behavior information generated by the insurance agent a and the insurance agent B in selling the insurance product C and the customer behavior information fed back by the customer at present are extracted from the business data a and the business data B. And then combining with a preset judgment rule of the system, judging the contribution degree of the insurance agent A and the insurance agent B in the sales process of the insurance product C, for example, the insurance agent A firstly provides the detail link of the insurance product C for a target client, and the target client firstly consults the insurance agent A for the insurance product C and the like, so that the contribution degree of the insurance agent A in the sales process of the insurance product C is judged to be larger, and the performance of the insurance product C is attributed to the insurance agent A.
Optionally, in the step S3, the business behavior information further includes business behavior information provided to the target client and behavior occurrence time for providing a business activity, the client behavior information includes feedback information and feedback occurrence time for the business activity, and determining the performance attribution of the business data according to the business behavior information and the client behavior information includes:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
By judging the feedback condition of the target customer on the insurance product service provided by different agents, the performance judging process can be greatly simplified, and the service S which does not feed back to the target customer is indicated that the agent providing the service S does not play a role or does not play an obvious role in selling the insurance product, the behavior of purchasing the insurance product by the user is not associated with the agent providing the service S, and when the performance attribution is judged, the agent providing the service S can be eliminated, the associated insurance agent is directly searched according to the feedback information, and the performance obtained by selling the insurance product is attributed to the associated insurance agent.
Feedback is provided to the targeted customer on the services provided by two or more insurance agents (which is relatively rare), and the contribution of different insurance agents in purchasing insurance products by the customer is determined based on the time of occurrence of the customer feedback and the feedback level to assign performance.
Optionally, in step S1, the service data further includes an initiator identifier and a receiver identifier, the service behavior information is associated with the initiator identifier, and the client behavior information is associated with the receiver identifier;
when the business data is written into the headquarter private chain node and the branch private chain node respectively, the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
The service data not only comprises data generated by the insurance agent selling insurance products on the platform, but also comprises data finished by non-agents, such as service data generated by direct sales of agents and self-purchasing of clients. When the customer purchases the product by oneself, there is not corresponding sponsor, when the insurance agent sells the product directly, the sponsor identification correlated with the receiver identification in the corresponding business data should be and only one, the business data generated by the sales of the insurance product finished by the above-mentioned non-agent does not have business disputes, therefore do not need to write into the private chain, write into the data system of the headquarter and branched agency directly.
Optionally, in step S2, when the service data is written into the headquarter private chain node and the branch private chain node, encryption and hash processing are performed on the service data.
Accordingly, when service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, hash consistency verification is carried out on the service data, after the verification is completed, the service data is decrypted, and service behavior information and customer behavior information in the service data are read.
By encrypting and hashing the business data, the credibility of the data is improved, and the acceptance of the insurance agent on the performance attribution result is increased.
The insurance business attribution method provided by the application has the following advantages:
1. the service behavior on the line of the insurance agent can be traced, and the accumulated service data can be conveniently analyzed, processed, researched and judged by combining various technologies such as big data, artificial intelligence and the like, so that more tool support and decision basis are provided for service operation.
2. The method has the advantages that the business behaviors of the agent are subjected to data uplink, so that the data cannot be tampered, traceable and shareable, the dispute problem in the attribution and the redemption of the performance is effectively solved, and the method plays a positive role in ecological health development of insurance industry.
Referring to fig. 2, in another embodiment of the present application, an insurance service attribution system based on the blockchain technology is also provided. It should be noted that the system provided by the present application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In the present application, "module," "device," "system," and the like refer to a related entity, either hardware, a combination of hardware and software, or software in execution, as applied to a computer. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, the application or script running on the server, the server may be an element. One or more elements may be in processes and/or threads of execution, and elements may be localized on one computer and/or distributed between two or more computers, and may be run by various computer readable media. The elements may also communicate by way of local and/or remote processes in accordance with a signal having one or more data packets, e.g., a signal from one data packet interacting with another element in a local system, distributed system, and/or across a network of the internet with other systems by way of the signal.
As shown in fig. 2, the system includes:
the front-end data receiving module is used for receiving and storing service data generated by the insurance agent in various service channels, wherein the service data comprises service behavior information and customer feedback information;
a private chain module, comprising: the headquarter data node module is used for writing the business data of all agents into the headquarter private chain node; the plurality of branch data node modules are used for writing the business data of the insurance agent belonging to the branch agency into the corresponding branch private chain nodes;
the performance attribution judging module is used for acquiring service data related to the dispute agents from the headquarter private chain nodes and the branch private chain nodes, carrying out consistency check on the service data, reading service behavior information and customer feedback information of each dispute agent from the service data corresponding to the dispute agent after the service data passes the check, and determining the performance attribution of the service data according to the service behavior information and the customer feedback information.
Optionally, the business behavior information includes business behavior information provided to a target client and behavior occurrence time of providing a business activity, the client behavior information includes feedback information and feedback occurrence time of the business activity, and the performance attribution determining module determines the performance attribution of the business data according to the business behavior information and the client behavior information further includes:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
Optionally, the service data further includes an initiator identifier and a receiver identifier, the service behavior information is associated with the initiator identifier, and the client behavior information is associated with the receiver identifier;
the headquarter data node module writes the service data into a headquarter private chain node and the branch data node module writes the service data of an insurance agent belonging to a branch agency into the branch private chain node, and the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
Optionally, when the headquarter data node module writes the service data into a headquarter private chain node and the branch data node module writes the service data of an insurance agent to which the branch agency belongs into the branch private chain node, the method further includes: encrypting and hashing the service data;
when the service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, the method further comprises the following steps: and carrying out hash consistency check on the service data, decrypting the service data after the check is completed, and reading service behavior information and customer behavior information in the service data.
When different insurance agents generate disputes on sales performance of a certain insurance product, business behavior information of the different insurance agents related to sales of the insurance product and customer behavior information generated by associated feedback of customers on the business behavior information of the different insurance agents can be acquired from a headquarter private chain node and a branch private chain node through a performance attribution judging module, and corresponding performance attribution is determined by judging contribution degrees of the different insurance agents in the process of selling the insurance product through the business behavior information of the different insurance agents and the customer behavior information.
The insurance business attribution system provided by the application can effectively solve the problem of disputes of agent performance attribution in insurance business, reduce the management cost of insurance companies and promote the healthy development of insurance ecology.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (6)
1. An insurance business attribution method based on a blockchain technology is characterized by comprising the following steps:
receiving and storing service data generated by an insurance agent in various service channels, wherein the service data comprises service behavior information and customer behavior information;
writing the service data into a headquarter private chain node and a branch private chain node respectively for data uplink, wherein the branch private chain nodes corresponding to different insurance agents are different;
when performing performance settlement, if a performance attribution dispute is generated, acquiring service data related to dispute agents from headquarter private chain nodes and branch private chain link points, performing consistency check on the service data, and after the verification is passed, reading service behavior information and customer behavior information of each dispute agent from the service data corresponding to the dispute agents, and determining the performance attribution of the service data according to the service behavior information and the customer behavior information;
the business behavior information comprises behavior information for providing business activities for target clients and behavior occurrence time for providing the business activities, the client behavior information comprises feedback information and feedback occurrence time for the business activities, and the determining the performance attribution of the business data according to the business behavior information and the client behavior information comprises the following steps:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
2. The blockchain technology-based insurance business attribution method according to claim 1, wherein the business data further comprises an initiator identifier and a receiver identifier, wherein the business behavior information is associated with the initiator identifier, and wherein the customer behavior information is associated with the receiver identifier;
when the business data is written into the headquarter private chain node and the branch private chain node respectively, the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
3. The method for attributing insurance business based on blockchain technology as in claim 1, wherein when writing the business data into the headquarter private chain node and the branch private chain node respectively, further comprises: encrypting and hashing the service data;
when the service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, the method further comprises the following steps: and carrying out hash consistency check on the service data, decrypting the service data after the check is completed, and reading service behavior information and customer behavior information in the service data.
4. An insurance business attribution system based on a blockchain technology, comprising:
the front-end data receiving module is used for receiving and storing service data generated by the insurance agent in various service channels, wherein the service data comprises service behavior information and customer feedback information;
a private chain module, comprising: the headquarter data node module is used for writing the business data of all agents into the headquarter private chain node; the plurality of branch data node modules are used for writing the business data of the insurance agent belonging to the branch agency into the corresponding branch private chain nodes;
the performance attribution judging module is used for acquiring service data related to the dispute agents from the headquarter private chain nodes and the branch private chain nodes, carrying out consistency check on the service data, and reading service behavior information and customer feedback information of each dispute agent from the service data corresponding to the dispute agent after the service data passes the check, and determining the performance attribution of the service data according to the service behavior information and the customer feedback information;
the business behavior information comprises business behavior information for providing business activities for target clients and behavior occurrence time for providing the business activities, the client behavior information comprises feedback information and feedback occurrence time for the business activities, and the performance attribution judging module determines the performance attribution of the business data according to the business behavior information and the client behavior information further comprises:
searching whether feedback information related to the business behavior information exists in the customer behavior information according to the business behavior information,
if only one piece of business behavior information has the associated feedback information, determining the attribution of the performance according to the feedback information;
if two or more business behavior information has feedback information related to the business behavior information, determining the attribution of the performance according to the feedback degree and the feedback occurrence time of the feedback information on the business interaction information related to the business behavior information.
5. The blockchain technology-based insurance business attribution system according to claim 4, wherein the business data further includes an sponsor identifier and a receiver identifier, wherein the business behavior information is associated with the sponsor identifier, and wherein the customer behavior information is associated with the receiver identifier;
the headquarter data node module writes the service data into a headquarter private chain node and the branch data node module writes the service data of an insurance agent belonging to a branch agency into the branch private chain node, and the method further comprises the following steps: determining whether the recipient identification has a corresponding associated originator identification,
if not, writing the service data into a data system of a headquarter or a branch agency;
if the unique associated initiator identifier exists, writing the service data into a data system of a headquarter or a branch agency;
and if two or more associated initiator identifications exist, writing the service data into the headquarter private chain node and the branch private chain node respectively.
6. The blockchain technology-based insurance business attribution system of claim 4, wherein when the headquarter data node module writes the business data to a headquarter private chain node and the branch data node module writes the business data of an insurance agent to which a branch agency belongs to a branch private chain node, respectively, further comprising: encrypting and hashing the service data;
when the service data associated with the dispute agent is acquired from the headquarter private chain node and the branch private chain node, the method further comprises the following steps: and carrying out hash consistency check on the service data, decrypting the service data after the check is completed, and reading service behavior information and customer behavior information in the service data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010340745.8A CN111552981B (en) | 2020-04-26 | 2020-04-26 | Insurance business attribution method and system based on block chain technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010340745.8A CN111552981B (en) | 2020-04-26 | 2020-04-26 | Insurance business attribution method and system based on block chain technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111552981A CN111552981A (en) | 2020-08-18 |
| CN111552981B true CN111552981B (en) | 2023-08-22 |
Family
ID=72003072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010340745.8A Active CN111552981B (en) | 2020-04-26 | 2020-04-26 | Insurance business attribution method and system based on block chain technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111552981B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115567275B (en) * | 2022-09-21 | 2024-05-03 | 中国平安人寿保险股份有限公司 | Block chain-based service attribution method, device, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106339946A (en) * | 2016-10-28 | 2017-01-18 | 中民保险经纪股份有限公司 | WeChat client behavior capturing and recording method |
| CN109327314A (en) * | 2018-11-08 | 2019-02-12 | 阿里巴巴集团控股有限公司 | Access method, device, electronic equipment and the system of business datum |
| CN109376008A (en) * | 2018-09-25 | 2019-02-22 | 阿里巴巴集团控股有限公司 | A kind of distribution method and device of virtual resource |
| CN110096511A (en) * | 2019-04-30 | 2019-08-06 | 深圳前海微众银行股份有限公司 | Data consistency checking method, apparatus, equipment and medium based on privately owned chain |
-
2020
- 2020-04-26 CN CN202010340745.8A patent/CN111552981B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106339946A (en) * | 2016-10-28 | 2017-01-18 | 中民保险经纪股份有限公司 | WeChat client behavior capturing and recording method |
| CN109376008A (en) * | 2018-09-25 | 2019-02-22 | 阿里巴巴集团控股有限公司 | A kind of distribution method and device of virtual resource |
| CN109327314A (en) * | 2018-11-08 | 2019-02-12 | 阿里巴巴集团控股有限公司 | Access method, device, electronic equipment and the system of business datum |
| CN110096511A (en) * | 2019-04-30 | 2019-08-06 | 深圳前海微众银行股份有限公司 | Data consistency checking method, apparatus, equipment and medium based on privately owned chain |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111552981A (en) | 2020-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7514232B2 (en) | Cryptographic anonymization for zero-knowledge advertising method, apparatus, and system | |
| US20190108531A1 (en) | Audience targeting with universal profile synchronization | |
| US20190220891A1 (en) | Audience matching network with performance factoring and revenue allocation | |
| US8903857B2 (en) | Provision of targeted content | |
| US7844663B2 (en) | Methods, systems, and computer program products for gathering information and statistics from a community of nodes in a network | |
| JP5551704B2 (en) | Evaluating online marketing efficiency | |
| US9203905B1 (en) | Sessionization of visitor activity | |
| US20020099824A1 (en) | Method and system for sharing anonymous user information | |
| US20150112791A1 (en) | Mobile user, activity and application profiling | |
| CN108334641B (en) | Method, system, electronic equipment and storage medium for collecting user behavior data | |
| US11093565B2 (en) | Methods and systems for identifying multiple devices belonging to a single user by merging deterministic and probabilistic data to generate a cross device data structure | |
| JP6859503B2 (en) | Information processing method and device of public information and information disclosure system | |
| JP2019505865A (en) | Method for detecting web tracking service | |
| CN111461754A (en) | Method and device for determining flow source of order | |
| CN111552981B (en) | Insurance business attribution method and system based on block chain technology | |
| CN112714198B (en) | File transmission method and system of ESB system | |
| CN113743980B (en) | Advertisement putting adjusting method and device, computer equipment and storage medium | |
| CN111985979A (en) | Method and device for processing invalid traffic information in advertisement service | |
| US20240070711A1 (en) | Smart contract-integrated keyboard data collection and rewards system | |
| US20230068806A1 (en) | Secure decentralized system | |
| Litvinov | The Data Protective Directive as Applied to Internet Protocol (IP) Addresses: Uniting the Perspective of the European Commission with the Jurisprudence of Member States | |
| Castell-Uroz et al. | A first look into Utiq: Next-generation cookies at the ISP level | |
| US20220300994A1 (en) | System for effective media tag management and method thereof | |
| CN115187309A (en) | Piece counting method and device for sharing H5 page business link | |
| CN117333220A (en) | Private domain customer source attribution method and flow processing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |