CN107784062B - Product data processing system and method - Google Patents

Product data processing system and method Download PDF

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Publication number
CN107784062B
CN107784062B CN201710608073.2A CN201710608073A CN107784062B CN 107784062 B CN107784062 B CN 107784062B CN 201710608073 A CN201710608073 A CN 201710608073A CN 107784062 B CN107784062 B CN 107784062B
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data
server
policy
processing
sending
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CN107784062A (en
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万延虎
张海珍
薛艳
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Priority to PCT/CN2018/084722 priority patent/WO2019019737A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26Visual data mining; Browsing structured data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems

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  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The invention relates to a product data processing system and method. The system comprises: the storage server is used for storing policy data, receiving a data acquisition request sent by the processing server, searching the policy data according to the data acquisition request and sending the policy data to the processing server; the processing server is used for sending a data acquisition request to the storage server, receiving the policy data sent by the storage server and sending the policy data to the service server; the business server is used for receiving the policy data sent by the processing server, acquiring analysis parameter data corresponding to the policy according to the policy data and sending the acquired analysis parameter data to the report server; and the report server is used for receiving the analysis parameter data sent by the service server and generating a data report according to the analysis parameter data. The product data processing system and the product data processing method improve the data processing efficiency.

Description

Product data processing system and method
Technical Field
The present invention relates to the field of computer technology, and in particular, to a product data processing system and method.
Background
Science and technology are becoming more and more closely integrated with people's work and life. The intellectualization of work and life not only makes people work more conveniently, but also greatly improves the quality of life. With the development of information technology, insurance products are more and more popular for the guarantee of people's life.
The insurance product generates a lot of data during the operation process, such as insurance policy basic information data, customer data, business data, etc. These data record the real-time changes of the policy, but do not reflect the quality of the product, nor analyze the performance of the product from a large amount of data. Therefore, it is often necessary to perform some analysis and processing on some raw data generated by the insurance product to obtain analysis data, and then analyze the insurance product through the analysis data. However, the traditional method for processing and counting the analysis data is usually to directly acquire the raw data in the same system, and then process and analyze the raw data, so that the data processing efficiency is very low.
Disclosure of Invention
The embodiment of the invention provides a product data processing system and method, which can improve the data processing efficiency.
A product data processing system, comprising:
the storage server is used for storing policy data, receiving a data acquisition request sent by the processing server, searching the policy data according to the data acquisition request and sending the policy data to the processing server;
the processing server is used for sending a data acquisition request to the storage server, receiving the policy data sent by the storage server and sending the policy data to the service server;
the business server is used for receiving the policy data sent by the processing server, acquiring analysis parameter data corresponding to the policy according to the policy data and sending the acquired analysis parameter data to the report server;
and the report server is used for receiving the analysis parameter data sent by the service server and generating a data report according to the analysis parameter data.
In one embodiment, the storage server includes a first storage server, a second storage server and a third storage server, where the first storage server is configured to store first insurance policy data corresponding to an insurance policy, receive a first data acquisition request sent by a processing server, search for the first insurance policy data according to the first data acquisition request, and send the first insurance policy data to the processing server; the second storage server is used for storing second policy data corresponding to the policy, receiving a second data acquisition request sent by the processing server, searching the second policy data according to the second data acquisition request and sending the second policy data to the processing server; the third storage server is used for storing third policy data corresponding to the policy, receiving a third data acquisition request sent by the processing server, searching the third policy data according to the third data acquisition request, and sending the third policy data to the processing server.
In one embodiment, the system further comprises:
and the classification server is used for receiving the policy data sent by the processing server, classifying the policy data according to the policy identification and sending the classified policy data to the service server.
In one embodiment, the system further comprises:
and the classification server is used for receiving the policy data sent by the processing server, classifying the policy data according to the policy identification and the policy time, and sending the classified policy data to the service server.
In one embodiment, the service server is configured to receive the classified policy data sent by the classification server, obtain analysis parameter data corresponding to the policy according to the classified policy data, and send the obtained analysis parameter data to the report server.
A product data processing method, comprising:
sending a data acquisition request to a storage server through a processing server;
receiving the data acquisition request sent by the processing server through the storage server, searching policy data according to the data acquisition request, and sending the policy data to the processing server;
receiving the policy data sent by the storage server through the processing server, and sending the policy data to a service server;
receiving the policy data sent by the processing server through the business server, acquiring analysis parameter data corresponding to the policy according to the policy data, and sending the acquired analysis parameter data to a report server;
and receiving the analysis parameter data sent by the service server through the report server, and generating a data report according to the analysis parameter data.
In one embodiment, the sending, by the processing server, the data acquisition request to the storage server includes:
sending a first data acquisition request to a first storage server through a processing server, sending a second data acquisition request to a second storage server, and sending a third data acquisition request to a third storage server;
the receiving, by the storage server, the data acquisition request sent by the processing server, searching policy data according to the data acquisition request, and sending the policy data to the processing server includes:
receiving the first data acquisition request sent by the processing server through the first storage server, searching first insurance policy data according to the first data acquisition request, and sending the first insurance policy data to the processing server;
receiving the second data acquisition request sent by the processing server through the second storage server, searching second policy data according to the second data acquisition request, and sending the second policy data to the processing server; and
and receiving the third data acquisition request sent by the processing server through the third storage server, searching first insurance policy data according to the third data acquisition request, and sending the third insurance policy data to the processing server.
In one embodiment, the method further comprises:
and receiving the policy data sent by the processing server through the classification server, classifying the policy data according to the policy identification, and sending the classified policy data to the service server.
In one embodiment, the method further comprises:
and receiving the policy data sent by the processing server through the classification server, classifying the policy data according to the policy identification and the policy time, and sending the classified policy data to the service server.
In one embodiment, the receiving, by the service server, the policy data sent by the processing server, obtaining analysis parameter data corresponding to a policy according to the policy data, and sending the obtained analysis parameter data to a report server includes:
and receiving the classified policy data sent by the classification server through the business server, acquiring analysis parameter data corresponding to the policy according to the classified policy data, and sending the acquired analysis parameter data to the report server.
The product data processing system and method provided by the embodiment of the invention store data through the storage server, acquire the data through the data acquisition request sent by the processing server, and respectively perform data processing and report generation on the business server and the report server. Therefore, data storage, acquisition and processing are respectively carried out on different servers, and errors can be avoided in the data processing process when huge data amount is faced. Meanwhile, on the basis of the generated data report, products can be processed and analyzed uniformly, and the data processing efficiency is improved.
Drawings
FIG. 1 is a system architecture diagram of a product data processing system in one embodiment;
FIG. 2 is a diagram illustrating an internal architecture of a server according to an embodiment;
FIG. 3 is a timing diagram of a product data processing system in one embodiment;
FIG. 4 is a timing diagram of a product data processing system in accordance with another embodiment;
FIG. 5 is a diagram illustrating a data report in one embodiment;
FIG. 6 is a flow diagram that illustrates a method for processing product data, according to one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first client may be referred to as a second client, and similarly, a second client may be referred to as a first client, without departing from the scope of the present invention. Both the first client and the second client are clients, but they are not the same client.
FIG. 1 is a system architecture diagram of a product data processing system in one embodiment. As shown in FIG. 1, the system architecture diagram includes a storage server 102, a processing server 104, a business server 106, and a reporting server 108. Wherein, the processing server 104 sends a data acquisition request to the storage server 102. The storage server 102 stores policy data, searches for policy data according to a data acquisition request after receiving the data acquisition request sent by the processing server 104, and sends the policy data to the processing server 104. The processing server 104 receives the policy data sent by the storage server 102 and sends the policy data to the service server 106. After receiving the policy data sent by the processing server 104, the service server 106 obtains analysis parameter data corresponding to the policy according to the policy data, and sends the obtained analysis parameter data to the report server 108. The report server 108 receives the analysis parameter data sent by the service server 106, and generates a data report according to the analysis parameter data. It is understood that in the embodiments provided by the present invention, the storage server 102, the processing server 104, the business server 106, and the report server 108 refer to devices for responding to service requests and providing computing services at the same time, and may be one or more computers, for example. In other embodiments provided by the present invention, a user inputs a product data processing instruction through a user terminal, and then sends a product data processing request to a processing server through the user terminal. After receiving a product data processing request sent by a user terminal, the processing server creates a task for acquiring policy data and triggers the task for acquiring policy data at regular time by setting a timer. And when the timer reaches the designated time, starting a task of acquiring policy data and initiating a data acquisition request to the storage server. Fig. 2 is a schematic diagram of an internal structure of the server in one embodiment. As shown in fig. 2, the server includes a processor, a non-volatile storage medium, an internal memory, and a network interface connected through a system bus. The non-volatile storage medium of the server stores an operating system, a database and computer readable instructions, the database stores policy data, and the computer readable instructions are executed by the processor to realize a product data processing method suitable for the server. The processor of the server is used for providing calculation and control capacity and supporting the operation of the whole server. The internal memory of the server provides an environment for the operation of a product data processing apparatus that implements the product data processing method in the nonvolatile storage medium. The network interface of the server is used for communicating with an external terminal through network connection, such as receiving a product data processing request sent by the terminal and returning a product data processing result to the terminal. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers. Those skilled in the art will appreciate that the architecture shown in fig. 2 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, as a particular server may include more or less components than those shown, or may combine certain components, or have a different arrangement of components. It is understood that the server shown in fig. 2 is applicable to any one of the storage server 102, the processing server 104, the business server 106, and the reporting server 108 shown in fig. 1.
FIG. 3 is a timing diagram for a product data processing system in one embodiment. As shown in FIG. 3, a product data processing system includes a storage server 302, a processing server 304, a business server 306, and a reporting server 308. Wherein:
the storage server 302 is configured to store policy data, receive a data acquisition request sent by the processing server 304, search policy data according to the data acquisition request, and send the policy data to the processing server 304.
In the embodiments provided herein, policy data refers to relevant data generated during the operation of insurance products. For example, policy data may refer to personal information of a customer and related information of a purchased insurance product, which are recorded after the customer purchases the insurance product. The policy data can also refer to relevant data generated from the start to the end of a claim when the client requests the claim for an unexpected event. Policy data may also be relevant data generated in the insurance product from the time of the customer's application to the time of the rebate. Generally, information such as a policy number, an amount of the application, and a policy status may be included in the policy data.
In particular, the policy data may be divided into base data, change data, and payout data corresponding to the policy. The basic data refers to basic information related to the policy, for example, the basic data may refer to information such as a policy number, a policy type, a customer name, a customer contact address, and the like. The change data is data generated when policy information is changed, and for example, when a customer needs to add a premium to a policy or return a premium, the change data may include data such as a policy number that needs to be returned, and a return amount. The expenditure data refers to the related data generated when the related policy is required to be paid with the expenditure amount, for example, when the policy is subject to the settlement, the settlement amount is required to be paid with the policy, and the expenditure data may include the policy number to be settled, the settlement amount, the state of the claim, and the like.
In one embodiment, the policy data may be divided into first policy data, second policy data, and third policy data, which may refer to base data, change data, and payout data, respectively.
Further, the data acquisition request refers to a request for acquiring policy data, and the data acquisition request may include, but is not limited to, a request transmission time, a policy data identifier, a request transmission identifier, a request reception identifier, a policy data storage address, an acquired data amount, and the like.
The storage server stores the policy data generated in the operation process of the insurance product. In particular, the storage server may store the policy data in the form of a table file. The form file refers to a file storing data in a form of a form, for example, the form file may be a file in a form of an excel file, a database file, or the like. When the storage server receives the data acquisition request, the storage server acquires the policy data file according to the policy data storage address in the data acquisition request, acquires corresponding policy data according to the policy data identifier and the acquired data volume, and sends the acquired policy data to the processing server.
In one embodiment, the storage server further comprises a first storage server, a second storage server and a third storage server, wherein in the operation process of the insurance product, the first storage server is used for storing the first insurance policy data, the second storage server is used for storing the second insurance policy data, and the third storage server is used for storing the third insurance policy data. Therefore, the data obtaining request sent by the processing server may include a first data obtaining request, a second data obtaining request and a third data obtaining request, where the first data obtaining request is used to obtain the first policy data, the second data obtaining request is used to obtain the second policy data, and the third data obtaining request is used to obtain the third policy data.
Specifically, the first storage server is used for searching first insurance policy data according to the first data acquisition request and sending the first insurance policy data to the processing server; the second storage server is used for searching second policy data according to the second data acquisition request and sending the second policy data to the processing server; and the third storage server is used for searching third policy data according to the third data acquisition request and sending the third policy data to the processing server.
And the processing server 304 is configured to send a data acquisition request to the storage server 302, receive policy data sent by the storage server 302, and send the policy data to the service server 306.
In the embodiments provided by the present invention, the processing server refers to a computer system capable of providing high-speed computing and storage capabilities, and is capable of providing powerful data processing capabilities. For example, a processing server may refer to a hadoop platform capable of providing powerful data processing capabilities. The processing server can trigger the task of acquiring the policy data at regular time by setting a timer, and when the timer reaches the specified time, the task of acquiring the policy data is started, and a data acquisition request is initiated to the storage server. For example, the processing server triggers a task of acquiring policy data every month No. 1, and initiates a data acquisition request to the storage server. Additionally, the task of acquiring policy data may be manually triggered by the user.
In one embodiment, the processing server is further configured to send a first data obtaining request to the first storage server, and receive first insurance policy data sent by the first storage server; sending a second data acquisition request to a second storage server, and receiving second policy data sent by the second storage server; sending a third data acquisition request to a third storage server, and receiving third policy data sent by the third storage server; and sending the first policy data, the second policy data and the third policy data to the service server.
The service server 306 is configured to receive the policy data sent by the processing server 304, obtain analysis parameter data corresponding to the policy according to the policy data, and send the obtained analysis parameter data to the report server 308.
In the embodiments provided herein, analytical parameter data refers to data that may be used to analyze the operating conditions of an insurance product. For example, after an insurance product is purchased, a claim event occurs in the insurance product, and the operation of the insurance product can be determined according to the probability of the occurrence of the claim event and the amount of the claim, and further whether the relevant configuration of the insurance product is reasonable or not can be determined.
In one embodiment, the analysis parameter data corresponding to the policy is obtained according to the policy data, specifically, the analysis parameter data corresponding to the policy is obtained according to the policy data and the preset parameter model. The preset parameter model refers to a preset model for acquiring analysis parameter data.
For example, assuming that the analysis parameter data is the pay rate, the policy data includes the number of claims, the number of insurers, the premium, the average premium of the claims case, and the average premium of the insured, and the predetermined parameter model is as follows:
the payout rate (payout incidence rate average premium of claims)/(average rate average premium of insured);
the occurrence rate of the claims is the number of people who claim the claim/the number of insurance people;
average rate is the premium/average premium.
The claim rate refers to the percentage of the claim expense and the premium income in a period of time, the number of claims refers to the number of claims occurring in the period of time, the number of insurers refers to the number of effective insurers of the insurance product in the period of time, the premium refers to the total amount of insurance invested by all users purchasing the insurance product, the average premium refers to the amount of insurance invested by all users of the insurance product on average, the average premium of the claim case refers to the amount of claims required by the case requiring claim, the average premium of the insured refers to the average value of the insurance amount of the insured corresponding to all the insurance policies, and the insured refers to the insurance beneficiary who purchases the insurance policies.
And the report server 308 is configured to receive the analysis parameter data sent by the service server 306, and generate a data report according to the analysis parameter data.
In the embodiment provided by the invention, the report server is used for generating the data report according to the analysis parameter data sent by the business server. The generated data report displays the analysis parameter data according to a certain rule, so that the operation conditions of all insurance products can be clearly displayed.
The product data processing system stores data through the storage server, acquires the data through the data acquisition request sent by the processing server, and respectively processes the data on the business server and the report server and generates a report. Therefore, data storage, acquisition and processing are respectively carried out on different servers, and errors can be avoided in the data processing process when huge data amount is faced. Meanwhile, on the basis of the generated data report, products can be processed and analyzed uniformly, and the data processing efficiency is improved.
FIG. 4 is a timing diagram of a product data processing system in accordance with another embodiment. As shown in FIG. 4, a product data processing system includes a storage server 402, a processing server 404, a categorization server 406, a business server 408, and a reporting server 410. Wherein:
the storage server 402 is used for storing policy data, receiving a data acquisition request sent by the processing server 404, searching the policy data according to the data acquisition request, and sending the policy data to the processing server 404;
the processing server 404 is configured to send a data acquisition request to the storage server 402, receive policy data sent by the storage server 402, and send the policy data to the classification server 406;
the classification server 406 is configured to receive the policy data sent by the processing server 404, classify the policy data according to the policy identifier, and send the classified policy data to the service server 408.
In the embodiment provided by the invention, the policy identification refers to a unique identification for distinguishing the policy, for example, the policy expression may refer to a policy number, a policy name, and the like. Insurance products can generally be classified into different insurance types according to the difference of insurance objects, for example, insurance products can include commercial insurance, life insurance, endowment insurance and the like. Furthermore, the same insurance product can be divided into different business types, wherein the business types refer to the types of the same insurance product divided according to different service requirements, for example, the life insurance can be divided into student insurance, old insurance, employee insurance and the like.
Generally, the insurance policy identification is coded according to the insurance type and the service type of the insurance product, and different insurance types and service types can be distinguished according to the insurance policy identification. For example, policy numbers for commercial insurance, life insurance, endowment insurance begin with "S", "R" and "Y", respectively. Accordingly, policy data may be divided into policy data of different insurance types and business types based on the policy identification.
In one embodiment, the classification server is further configured to receive policy data sent by the processing server, classify the policy data according to the policy identifier and the policy time, and send the classified policy data to the service server.
The policy time refers to time data related to the policy, for example, the policy time may refer to the time when the policy is subject to a claim settlement event, the time when the customer purchases the policy, or the time when the policy is finished.
The service server 408 is configured to receive the classified policy data sent by the classification server 406, obtain analysis parameter data corresponding to the policy according to the classified policy data, and send the obtained analysis parameter data to the report server 410.
In the embodiment provided by the invention, the corresponding analysis parameter data is obtained according to the classified policy data, and the obtained classification parameter data are also different types of analysis parameter data.
The report server 410 is configured to receive the analysis parameter data sent by the service server 408, and generate a data report according to the analysis parameter data.
In the embodiment provided by the invention, the generated data report shows the analysis parameter data according to a certain rule, and the data report can be stored in a specific form. For example, the data report may be a file stored in the form of a table, a pie chart, a bar chart, a graph, etc., and the operation of the insurance product is reflected in the form of the table, the pie chart, the bar chart, the graph, etc.
FIG. 5 is a diagram illustrating a data report according to an embodiment. As shown in fig. 5, the insurance products are classified into "P0111", "P0112", and "P0410" according to the policy identifier, wherein the insurance products of the "P0111" category may be further classified into service types of "service 1", "service 2", "service 3", and "service 4". Including 2009, 2010 and 2011 in the time dimension, respectively. Analyzing the parametric data includes calculating odds, actual odds, and absolute deviation, respectively. The calculated odds refer to odds estimated in advance for the insurance product, the actual odds refer to odds calculated from data generated by actual operation of the insurance product, and the absolute deviation refers to a difference between the calculated odds and the actual odds. The actual operation condition of each insurance product can be known according to the data report.
In the embodiment provided by the invention, the report server is mainly used for storing the data report, the data report is stored in the preset report storage address in the report server, and the data report can be obtained through the preset report storage address. The user can input a data report query instruction through the user terminal, and the user terminal sends a data report query request to the report server after receiving the data report query instruction. And the report server inquires and returns a corresponding data report to the user terminal according to the data report inquiry request, and the user terminal displays the data report.
Specifically, the data report query instruction may be a trigger operation such as a touch operation, a pressing operation of a physical key, a voice control operation, or a shaking operation of the user terminal. The touch control operation includes a touch click operation, a touch long-time press operation, a touch slide operation, a multi-point touch control operation and the like, wherein the touch long-time press operation is a touch press operation exceeding a preset time length. The user terminal can display the data report in a webpage attachment mode, and the user can directly click a report downloading button on a webpage of the user terminal to obtain the data report.
The product data processing system stores data through the storage server, acquires the data through the data acquisition request sent by the processing server, and respectively processes the data on the business server and the report server and generates a report. Therefore, data storage, acquisition and processing are respectively carried out on different servers, and errors can be avoided in the data processing process when huge data amount is faced. Meanwhile, the policy data are classified, and the generated data report can also present the analysis parameter data in a classified manner, so that products can be better processed and analyzed uniformly, and the data processing efficiency is improved.
FIG. 6 is a flow diagram that illustrates a method for processing product data, according to one embodiment. As shown in fig. 6, the product data processing method includes steps S602 to S610. Wherein:
step S602, sending a data acquisition request to a storage server through a processing server.
In one embodiment, a first data acquisition request is sent by a processing server to a first storage server, a second data acquisition request is sent to a second storage server, and a third data acquisition request is sent to a third storage server.
Step S604, receiving the data acquisition request sent by the processing server through the storage server, searching policy data according to the data acquisition request, and sending the policy data to the processing server.
Specifically, a first data acquisition request sent by a processing server is received through a first storage server, first insurance policy data is searched according to the first data acquisition request, and the first insurance policy data is sent to the processing server; receiving a second data acquisition request sent by the processing server through a second storage server, searching second policy data according to the second data acquisition request, and sending the second policy data to the processing server; and receiving a third data acquisition request sent by the processing server through a third storage server, searching the first policy data according to the third data acquisition request, and sending the third policy data to the processing server.
And step S606, receiving the policy data sent by the storage server through the processing server, and sending the policy data to the service server.
In the embodiment provided by the invention, the policy data sent by the processing server is received by the classification server, the policy data is classified according to the policy identification, and the classified policy data is sent to the service server.
In other embodiments provided by the present invention, the policy data sent by the processing server is received by the classification server, the policy data is classified according to the policy identifier and the policy time, and the classified policy data is sent to the service server.
Step S608, receiving, by the service server, the policy data sent by the processing server, obtaining analysis parameter data corresponding to the policy according to the policy data, and sending the obtained analysis parameter data to the report server.
Step S610, receiving the analysis parameter data sent by the service server through the report server, and generating a data report according to the analysis parameter data.
According to the product data processing method, the data are stored through the storage server, the data are acquired through the data acquisition request sent by the processing server, and the data are processed and the report is generated on the business server and the report server respectively. Therefore, data storage, acquisition and processing are respectively carried out on different servers, and errors can be avoided in the data processing process when huge data amount is faced. Meanwhile, on the basis of the generated data report, products can be processed and analyzed uniformly, and the data processing efficiency is improved.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (8)

1. A product data processing system, comprising:
the storage server is used for storing policy data, receiving a data acquisition request sent by the processing server, searching the policy data according to the data acquisition request and sending the policy data to the processing server;
the processing server is used for sending a data acquisition request to the storage server, receiving the policy data sent by the storage server and sending the policy data to the service server;
the business server is used for receiving the policy data sent by the processing server, acquiring analysis parameter data corresponding to the policy according to the policy data and a preset parameter model, and sending the acquired analysis parameter data to the report server, wherein the preset parameter model is a preset model for acquiring the analysis parameter data;
the report server is used for receiving the analysis parameter data sent by the business server and generating a data report according to the analysis parameter data;
the storage server comprises a first storage server, a second storage server and a third storage server, wherein the first storage server is used for storing first insurance policy data corresponding to insurance policies, receiving a first data acquisition request sent by the processing server, searching the first insurance policy data according to the first data acquisition request and sending the first insurance policy data to the processing server; the second storage server is used for storing second policy data corresponding to the policy, receiving a second data acquisition request sent by the processing server, searching the second policy data according to the second data acquisition request and sending the second policy data to the processing server; the third storage server is used for storing third policy data corresponding to the policy, receiving a third data acquisition request sent by the processing server, searching the third policy data according to the third data acquisition request and sending the third policy data to the processing server; the first policy data, the second policy data, and the third policy data refer to basic data, change data, and payout data, respectively.
2. The product data processing system of claim 1, wherein the system further comprises:
and the classification server is used for receiving the policy data sent by the processing server, classifying the policy data according to the policy identification and sending the classified policy data to the service server.
3. The product data processing system of claim 1, wherein the system further comprises:
and the classification server is used for receiving the policy data sent by the processing server, classifying the policy data according to the policy identification and the policy time, and sending the classified policy data to the service server.
4. The product data processing system according to claim 2 or 3, wherein the service server is configured to receive the classified policy data sent by the classification server, obtain analysis parameter data corresponding to the policy according to the classified policy data, and send the obtained analysis parameter data to the report server.
5. A method of processing product data, comprising:
sending a data acquisition request to a storage server through a processing server;
receiving the data acquisition request sent by the processing server through the storage server, searching policy data according to the data acquisition request, and sending the policy data to the processing server;
receiving the policy data sent by the storage server through the processing server, and sending the policy data to a service server;
receiving the policy data sent by the processing server through the business server, acquiring analysis parameter data corresponding to the policy according to the policy data and a preset parameter model, and sending the acquired analysis parameter data to the report server, wherein the preset parameter model is a preset model for acquiring the analysis parameter data;
receiving the analysis parameter data sent by the service server through the report server, and generating a data report according to the analysis parameter data;
the sending of the data acquisition request to the storage server by the processing server comprises:
sending a first data acquisition request to a first storage server through a processing server, sending a second data acquisition request to a second storage server, and sending a third data acquisition request to a third storage server;
the receiving, by the storage server, the data acquisition request sent by the processing server, searching policy data according to the data acquisition request, and sending the policy data to the processing server includes:
receiving the first data acquisition request sent by the processing server through the first storage server, searching first insurance policy data according to the first data acquisition request, and sending the first insurance policy data to the processing server;
receiving the second data acquisition request sent by the processing server through the second storage server, searching second policy data according to the second data acquisition request, and sending the second policy data to the processing server; and
receiving, by the third storage server, the third data acquisition request sent by the processing server, searching for third policy data according to the third data acquisition request, and sending the third policy data to the processing server; the first policy data, the second policy data, and the third policy data refer to basic data, change data, and payout data, respectively.
6. The product data processing method of claim 5, further comprising:
and receiving the policy data sent by the processing server through the classification server, classifying the policy data according to the policy identification, and sending the classified policy data to the service server.
7. The product data processing method of claim 5, further comprising:
and receiving the policy data sent by the processing server through the classification server, classifying the policy data according to the policy identification and the policy time, and sending the classified policy data to the service server.
8. The product data processing method according to claim 6 or 7, wherein the receiving, by the service server, the policy data sent by the processing server, obtaining analysis parameter data corresponding to a policy according to the policy data, and sending the obtained analysis parameter data to a report server includes:
and receiving the classified policy data sent by the classification server through the business server, acquiring analysis parameter data corresponding to the policy according to the classified policy data, and sending the acquired analysis parameter data to the report server.
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