KR101610144B1 - Apparatus for utilizing trend information and computer-readable medium thereof - Google Patents

Abstract

A computer-readable medium for reflecting trends in accordance with an aspect of the present invention is disclosed. The computer-readable medium stores instructions for causing a computer to perform the following operations: collecting insurance-related data from a plurality of customers through one or more routes; Extracting insurance-related keywords from the collected insurance-related data; Generating frequency data for each of the extracted keywords; And generating insurance coverage information for the extracted keyword based on the generated frequency data.

Description

[0001] APPARATUS FOR UTILIZING TREND INFORMATION AND COMPUTER READABLE MEDIUM THEREOF [0002]

The present invention relates to insurance, more specifically, an invention for reflecting trends related to insurance by utilizing Big Data.

With the growth of the Internet and mobile industries, big data environments are emerging, meaning large, fixed or unstructured data that can be collected, managed, stored and analyzed with existing database management tools. Big data is a vast amount of data of various types generated in the digital environment, and it is considered as a core resource that can secure future competitiveness of companies and the like.

Also, extracting economically necessary value from big data can be referred to as big data technology. Utilizing Big Data can create various forms of value, such as establishing marketing strategies, optimizing processes, improving productivity and preventing fraud. Therefore, big data technology for effectively utilizing big data can be considered as a means of securing corporate competitiveness that should be considered first in the infinite competition age regardless of the type of enterprise.

Therefore, even in the insurance industry, big data can be used to secure the competitiveness of a company. For example, an insurance company can use this big data to increase the sales of insurance products and / or to minimize the change in sales due to insurance product changes. In order to increase the sales of insurance products, it may be required to improve the profit and loss structure of insurance companies by appropriately using the indicators provided by Big Data on insurance products. In addition, measures may be required to minimize changes in sales due to insurance product changes.

Big data here refers to a large amount of fixed or unstructured data sets beyond the ability to collect, store, manage and analyze data with existing database management tools, and to extract values from such data and analyze the results. The development of Big Data Technology, which is characterized by the generation, collection, analysis and expression of various kinds of large-scale data, makes it possible to predict more accurately the diversified modern society and to work efficiently, to provide customized information to each personalized modern society, Management, and analysis, and realizes technologies that were not possible in the past. As such, Big Data presents the possibility of providing valuable information to society and humanity in all areas including politics, society, economy, culture, and science and technology, and its importance is highlighted.

This possibility is applied to the insurance industry as well, and it is necessary to go beyond the measurement index of the insurance risk of the existing insurance company, to collect and analyze the insurance related information by using the new index presented by the Big Data, Lt; / RTI >

As a prior patent related to this application, there is a publication number 10-2010-0060835.

The present invention has been devised in view of the foregoing, and aims to increase customer satisfaction through preemptive and differentiated customer management using trend information of big data.

The present invention is to improve the yield of insurance companies by utilizing trend data of big data.

The present invention is for notifying the insurance planner (FC) about the insurance-related information analyzed through the trend information of the big data.

The present invention is intended to enhance the efficiency of Insurance Agency (FC) education using insurance related information analyzed through trend information of Big Data.

A computer-readable medium according to an embodiment of the present invention for realizing the above-mentioned problems is disclosed. The computer-readable medium stores instructions for causing a computer to perform the following operations: collecting insurance-related data from a plurality of customers through one or more routes; Extracting insurance-related keywords from the collected insurance-related data; Generating frequency data for each of the extracted keywords; And generating insurance coverage information for the extracted keyword based on the generated frequency data.

According to an embodiment of the present invention, a trend reflecting customer management device is disclosed. The apparatus comprises: a database for collecting insurance-related data from a plurality of customers through one or more routes; A first operation for collecting insurance-related data from a plurality of customers through one or more routes, a second operation for extracting insurance-related keywords from the collected insurance-related data, a step for generating frequency data for each of the extracted keywords A third operation, and a fourth operation for generating insurance feedback information for the extracted keyword based on the generated frequency data.

According to another embodiment of the present invention, a computer-readable medium for reflecting trends is disclosed. The computer-readable medium stores instructions for causing a computer to perform the following operations: sending one or more predetermined keywords to a trend search engine; Receiving a first result data of a trend search engine that responds to each of the transmitted one or more keywords, the first result data comprising data indicative of the frequency of the one or more predetermined keywords in time; And generating insurance coverage information based on the first resultant data.

According to another embodiment of the present invention, a trend reflecting customer management device is disclosed. The apparatus comprises: a transmission module for transmitting one or more predetermined keywords to a trend search engine; A receiving module for receiving first result data of a trend search engine responding to each of the transmitted one or more keywords, the first result data including data indicative of the frequency of the one or more predetermined keywords according to the timing - a control module for generating insurance feedback information based on the first result data; And a database storing the predetermined keyword to be transmitted, the first result data of the received trend search engine, and the insurance related feedback information.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-described problems, and it is possible to increase customer satisfaction through preemptive and differentiated customer management by utilizing trend information of big data.

The present invention can improve the profitability of the insurance company by utilizing the trend information of the big data.

The present invention can notify the insurance agent (FC) of the insurance related information analyzed through the trend information of the big data.

The present invention can increase the efficiency of insurance agent training using insurance related information analyzed through trend information of big data.

Various aspects are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following examples, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will be apparent that such aspect (s) may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing one or more aspects.
Figure 1 illustrates a financial system in accordance with an embodiment of the present invention.
Figure 2 illustrates components of a server in accordance with an embodiment of the present invention.
FIG. 3 illustrates an interworking relationship between a financial server and an external search engine server according to an embodiment of the present invention.
FIG. 4 illustrates a method for customer management that reflects trends according to an embodiment of the present invention.
Figure 5 illustrates a method for customer management that reflects trends according to another embodiment of the present invention.
Figure 6 illustrates a method for customer management that reflects trends according to another embodiment of the present invention.

Various embodiments and / or aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that such aspect (s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. It is to be understood, however, that such aspects are illustrative and that some of the various ways of practicing various aspects of the principles of various aspects may be utilized, and that the description set forth is intended to include all such aspects and their equivalents.

In addition, various aspects and features will be presented by a system that may include multiple devices, components and / or modules, and so forth. It should be understood that the various systems may include additional devices, components and / or modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in connection with the drawings Must be understood and understood.

As used herein, the terms "an embodiment," "an embodiment," " an embodiment, "" an embodiment ", etc. are intended to indicate that any aspect or design described is better or worse than other aspects or designs. . As used herein, the terms 'component,' 'module,' 'system,' 'interface,' and the like generally refer to a computer-related entity and include, for example, hardware, It can mean software.

In addition, the term "or" is intended to mean " exclusive or " That is, it is intended to mean one of the natural inclusive substitutions "X uses A or B ", unless otherwise specified or unclear in context. That is, X uses A; X uses B; Or when X uses both A and B, "X uses A or B" can be applied to either of these cases. It should also be understood that the term "and / or" as used herein refers to and includes all possible combinations of one or more of the listed related items.

It is also to be understood that the term " comprises "and / or" comprising " means that the feature and / or component is present, but does not exclude the presence or addition of one or more other features, components and / It should be understood that it does not. Also, unless the context clearly dictates otherwise or to the contrary, the singular forms in this specification and claims should generally be construed to mean "one or more. &Quot;

As used herein, the terms "information" and "data" are often used interchangeably.

Figure 1 illustrates a financial system 100 in accordance with an embodiment of the present invention.

For example, the financial system 100 herein may be a system for generating and providing insurance information and proactively detecting insurance fraud and the like.

1, the financial system 100 may be largely comprised of a server 110, a user terminal 120, an enterprise terminal 130, and a network 140 .

It should also be appreciated that the components that make up the financial system 100 shown in Figure 1 are illustrative and that only some of the components may constitute the financial system 100 or that additional components Or may be included in the system 100. For example, although not shown, the server 110 may include an Enterprise Application Integration (EAI) server, a resultant data retrieval server of an external search engine, a call center server, and / or a billing server. Also, the server 110 according to an aspect of the present invention may include a call center server (not shown) so that the information and / or data collected from the server includes information and / or data collected from the call center server . As another example, the enterprise terminal 130 may be included in the user terminal 120.

The server 110 is connected to the server 110 through communication with the user terminal 120 and the enterprise terminal 130, collection of the customer consultation data 303, collection of result data of the external search engine, identification information of the user, Information and insurance payment information, creation, distribution and storage of terminal applications, determination of insurance products to be designed, determination of insurance products to be sold, generation of financial consultant education information, Adjustment of the strength of the insurance product, and generation of recommendation information of the insurance product, etc.

The user terminal 120 can perform communication with the server 110 and / or the enterprise terminal 130, inquire about various information, claim insurance, and generate contract information for the insurance product.

The enterprise terminal 130 can perform communication with the server 110 and the user terminal 120, and the like. In addition, the enterprise terminal 130 may perform the operations performed in the server 110 described above.

In addition, the network 140 may form a channel for data communication between the server 110, the user terminal 120, and the enterprise terminal 130.

The terms "system" and "network ", as used herein, are often used interchangeably.

The systems presented here are public switched telephone network (PSTN), x digital subscriber line (xDSL), rate adaptive DSL (RADSL), multi rate DSL (MDSL), very high speed DSL (VDSL) Asymmetric DSL), High Bit Rate DSL (DSL), and Local Area Network (LAN).

In addition, the system described herein can be applied to a mobile communication system such as Code Division Multi Access (CDMA), Time Division Multi Access (TDMA), Frequency Division Multi Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single Carrier- Various wireless communication systems such as other systems may be used.

The techniques described herein may be used in other systems as well as the systems mentioned above.

The network 140 according to one aspect of the present invention may be configured without discriminating the communication modes such as wired and wireless, and may be connected to various communication networks such as a personal area network (PAN), a wide area network (WAN) . Also, the network 140 may be a known World Wide Web (WWW) or may use a wireless transmission technology used for short-distance communication such as infrared (IrDA) or Bluetooth have.

Returning to Figure 1, the user terminal 120 may access the server 110 or communicate with the enterprise terminal 130 to enter into a contract for a financial instrument (e.g., an insurance instrument) , The contract information, the identification information, the insurance payment information, the information about the insurance product to be designed, the information about the insurance product to be sold, the information about the FC education information and the intensity of the insurance payment review Means all types of devices.

Such a user terminal 120 may be a user equipment, a mobile, a PC, a mobile phone, a kiosk, a cellular phone, a cellular, a cellular terminal, a subscriber unit, a subscriber station, a mobile station, a terminal, a remote station, a PDA, Any device that uses a wireless connection mechanism, such as a terminal, user agent, cellular telephone, wireless telephone, Session Initiation Protocol (SIP) telephone, wireless local loop (WLL) station, And the like, but are not limited thereto.

Such a user terminal 120 may also be referred to as any device capable of using a wired connection mechanism such as a wired facsimile, a PC with a wired modem, a wired telephone, a terminal capable of wired communication, It does not.

In a further aspect of the present invention, the user terminal 120 may be used by an insurance company employee or an insurance planner (FC). In such a case, the user terminal 120 may be referred to as an enterprise terminal 130, a window terminal, an FC terminal, or the like. The present invention will be referred to as an enterprise terminal 130.

The enterprise terminal 130 may include devices capable of using a wireless connection mechanism or a wired connection mechanism of the same or similar type as the user terminal described above.

In addition, an additional terminal by another user (for example, an employee of a company other than a financial company) other than the above-mentioned user may also be included in the user terminal 120. [

In one aspect of the present invention, the enterprise terminal 130 may refer to a terminal that can be used by those associated with a financial company, such as an insurance company (e.g., FC associated with an insurance company employee and / or the insurance company). That is, according to one aspect of the present invention, a particular terminal that is relevant to an insurance company (e.g., server 110 of an insurance company) may be referred to as enterprise terminal 130. Additionally, the enterprise terminal 130 may be included in the user terminal 120.

The enterprise terminal 130 may also be a personal computer, a mobile phone, a kiosk, a cellular phone, a cellular phone, a cellular terminal, a subscriber unit, a subscriber station, a mobile station, a terminal, Such as a cellular telephone, a wireless telephone, a Session Initiation Protocol (SIP) telephone, a wireless local loop (WLL) station, a handheld device having a wireless connection capability, a wireless modem, Or any device using a wireless connection mechanism, and the like. Further, the enterprise terminal 130 may be referred to as, but is not limited to, any device capable of using a wired connection mechanism, such as a wired fax, a PC with a wired modem, a wired telephone, .

In one aspect of the present invention, the server 110 may provide different services for each of the user terminals by the various users. That is, the user terminal used by the customer and the enterprise terminal 130 used by the financial company employee are allowed to access the specific server among the plurality of insurance company servers, respectively, according to the insurance company's policy and / Or may be limited. Alternatively, the user terminal 120 may be permitted or restricted to access specific data of the insurance company server according to the policies and / or user settings of the insurance company.

For example, in accordance with the policy of the insurance company, the enterprise terminal 130 may be provided with insurance design, financial product identification and registration, customer identification, insurance claim, insurance payment, Such as the determination of the insurance product to be sold, the inquiry of the customer's consultation contents, the generation of the FC education information, and the adjustment of the strength of the insurance payment review, and the like.

In addition, search and search result screens may be different in units of performing units of the user terminal 120 and / or the enterprise terminal 130, depending on policies and / or user settings of the insurance company.

Alternatively, a terminal used by a customer of the user terminal 120 may only access limited data such as subscription information, contract information, customer consent or authorization related information, insurance claims, insurance payment receipt, insurance product information, and / Or may be set to be.

Furthermore, a terminal used by an insurance agent (FC) may have access to the data necessary to perform tasks such as insurance design, but may be able to access certain data (e.g., data for customers other than a particular insurance planner's customer) Access may be restricted, unlike a general enterprise terminal 130 used by a financial company employee.

In an aspect of the present invention, the server 110, the user terminal 120, and the enterprise terminal 130 can transmit and receive various information through the network 140. [

This variety of information can be collected and stored, for example, insurance design, identification and enrollment of financial products, identification of customers, insurance claims, insurance payments, handling of claims, handling of insurance indicator information and insurance payment information, Correlation data between the consultation data (303), the insurance period and the number of claims, the collection and storage of correlation data between the insurance period and the claim amount, the decision on the insurance product to be designed, , The creation of FC training information, and the control of the intensity of the claims audit.

The above-described information may be input via the user terminal 120 and / or the enterprise terminal 130, or may be generated by the server 110. [ The above-described information may be stored in a database of the server 110 or a computer-readable storage medium. According to an aspect of the present invention, a computer-readable storage medium may be included within the user terminal 120 and / or the enterprise terminal 130.

Such storage media may include any type of storage medium in which programs and data are stored so that they can be read by a computer system. According to one aspect of the present invention, such medium may be a ROM (Read Only Memory), a RAM (Random Access Memory), a CD (Compact Disk) -ROM, a DVD Storage devices, and the like, and may also be implemented in the form of a carrier wave (e.g., transmission over the Internet). Additionally, such media may be distributed over a system coupled to the network 140 and may store computer readable codes and / or instructions in a distributed manner.

In an embodiment of the present invention, a customer, a finance company employee, and / or an insurance agent (FC), when a particular application distributed by a particular insurance company is installed and executed in the user terminal 120 and / The server 110 can communicate with the user terminal 120 and / or the enterprise terminal 130 via the network 140 so that the user can enjoy various services.

Figure 2 illustrates components of a server in accordance with an embodiment of the present invention.

A server according to an aspect of the present invention may include a call center server, a result data receiving server of an external search engine, a Speech To Text (STT) server, and a combination thereof.

According to an aspect of the present invention, the server 110 may include a receiving module 201, a transmitting module 203, a controlling module 205, and a database 207.

The components of server 110 in FIG. 2 are exemplary and only some of the components may constitute server 110, or additional components (s) may be included in server 110 in addition to the components have.

Additionally, in accordance with an aspect of the present invention, the components shown in FIG. 2 may be components of user terminal 120 and / or enterprise terminal 130. In this case, the control module and database of the user terminal 120 and / or enterprise terminal 130 may perform at least a portion of the operations and functions of the server's control module and database, as described below. Alternatively, the receiving module of the user terminal 120 and / or the enterprise terminal 130 may receive the information and data required from the server 110. The display of the user terminal 120 and / or the enterprise terminal 130 may display information received from the server and / or generated by its control module. Alternatively, at least a portion of the components of the server 110 described below may be replaced by components of the user terminal 120 and / or enterprise terminal 130.

The receiving module 201 may receive information or data transmitted from the user terminal 120 or the enterprise terminal 130 via the network 140. [

The receiving module 201 receives large data in and out of the company, such as identification data of a plurality of customers, consultation data from a plurality of customers, result data 309 of an external search engine including a trend search engine, Or from the enterprise terminal 120 and / or the enterprise terminal 130. Here, the external server may include a call center server, an STT server, a result data server of an external search engine, and / or a VOC server. The collected or received big data may be stored in the database 207.

In one aspect of the invention, an STT server is any type of software or hardware system capable of recognizing a human voice conversation, such as an STT converter, an STT converter, an STT conversion engine, and the like, . ≪ / RTI > This STT server may be replaced with a receiving module 201, replaced with a control module 205, or replaced with a database 209. Furthermore, such an STT server may be included in the server 110 or may exist independently as an external server.

The collection and reception operations of the receiving module 201 may be performed in units of a predetermined period or period (e.g., month, quarter, half, or year). For example, when the predetermined period is "Year ", the collected or received big data such as consultation data and insurance fraud related data from a plurality of customers can be grouped in" Year " have. Thus, the received big data may be evaluated, updated, and / or removed in a predetermined period of time.

As another example, the receiving module 201 may receive information (e.g., contract information, product information, customer identification information, etc.) related to the insurance contracting from the external server, the user terminal 120 and / 140, < / RTI >

The receiving module 201 may receive an access request message and / or an inquiry request message for various information from the user terminal 120 and / or the enterprise terminal 130.

In a further aspect of the present invention, the receiving module 201 may receive financial assets (e.g., insurance premiums) paid by the customer. Alternatively, the paid premium may be stored by a server other than the server 110 or may be processed by outsourcing.

In one aspect of the present invention, the receiving module 201 may receive the first result data of the trend search engine and / or the second result data of the trend search engine. Further explanation regarding the operation of the receiving module 201 will be described later with reference to FIG. 5 and FIG.

The transmission module 203 may transmit information or data from the server 110 to the user terminal 120 or the enterprise terminal 130 via the network 140. [ The transmission module 203 may transmit a response message to the user terminal 120 or the enterprise terminal 130 in response to the request message from the user terminal 120 or the enterprise terminal 130. For example, the transmission module 203 may transmit feedback information on an inquiry request for information related to consultation data from a plurality of customers, result data of an external search engine, and the like to the user terminal 120 or the enterprise terminal 130, Lt; / RTI >

The information transmitted by the sending module 203 may include information retrieved from the database 207 if necessary. Further, the transmission module 203 may distribute an application including a user interface related to the insurance company to the user terminal 120 and / or the enterprise terminal 130.

The transmission module 203 and the reception module 201 of the server 110 can communicate with the user terminal 120 or the enterprise terminal 130 via the network 140 as described above.

In an aspect of the invention, the sending module 203 may send one or more predetermined keywords 307 to the trend search engine to receive the first result data of the trend search engine by the receiving module 201 .

The trend search engine may be a search engine outside the server 110. The search engine may include a search system for notifying a search trend of a specific keyword for a specific keyword and a system for comparing the search frequency of a specific keyword according to a specific time , Google Trends or Naver Trends). Additionally, a trend search engine may be included within the server 110. In such a case, the trend search engine may operate in unison with the server 110. [ The insurance planner (FC) can input specific keywords of the trend search engine and can grasp insurance related information through specific keywords included in the result data 315 of the trend search engine.

In one aspect of the invention, the sending module 203 may send one or more customer category information 305 to the trend search engine to receive the second result data of the trend search engine by the receiving module 201 . Specifically, the transmitting module 203 can transmit the customer category information 305 stored in the database 207 to the trend search engine, in addition to being able to transmit the predetermined keyword 307 described above.

The customer category information 305 may include information for classifying the customer's personal information such as age, residence area, occupation, consultation date related to insurance, date of insurance, etc., and / or designating one by one.

The customer category information 305 may be transmitted by the sending module 203 to be input to the trend search engine and the insurance agent FC may send the result of the trend search engine generated by the customer category information 305 Information related to the insurance can be grasped through the specific keyword included in the data 315.

In one aspect of the present invention, a further description related to the transmission module 201 will be described later in FIGS. 5 and 6. FIG.

In an aspect of the present invention, the sending module 203 and the receiving module 201 may communicate with other servers and the like via the network 140. [

The transmitting module 203 and the receiving module 201 may include a wired / wireless Internet module for network connection. For example, WLAN (Wireless LAN) (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access) For example, a wired Internet technology may be a digital subscriber line (XDSL), a fiber to the home (FTTH), or a power line communication (PLC).

The transmitting module 203 and the receiving module 201 may transmit data to and receive data from an electronic device including a local communication module located relatively close to the server 110 including the local communication module. Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), ZigBee, and the like can be used as a short range communication technology.

In one aspect of the invention, the data or information collected or received via the receiving module 201 may be stored in the database 207 or transmitted to other electronic devices in the vicinity via the local communication module.

The control module 205 may control the overall operations of the server 110. [ The control module 205 may store the data received and collected by the receiving module 201 in the database 207. In addition, the control module 205 may parse the data received by the receiving module 201 to generate feedback information and the like. Generating such feedback data may be performed by retrieving the necessary information from the database 207.

In accordance with one embodiment of the present invention, the control module 205 may categorize the collected insurance related data into one or more groups according to predetermined criteria information. Specifically, the categorization is an operation prior to extracting keywords for the collected insurance-related data, and grouping and classifying the data by the predetermined reference information to systematically and analytically process the collected insurance-related data . ≪ / RTI >

According to one embodiment of the present invention, the predetermined reference information may include at least one of age information, job information and local information for a plurality of customers, and timing information for the insurance-related data. Specifically, the timing information on the insurance-related data may include information on when the data is generated and / or stored.

In addition, it may include customer category information 305 for classifying and / or specifying daily personal information of a customer such as an age, a residence area, a job, an insurance-related consultation date, and an insurance coverage date. .

In one aspect of the present invention, the control module 205 may extract insurance-related keywords from the collected insurance-related data or the insurance-related data categorized into the one or more groups. That is, the control module 205 extracts insurance-related keywords directly from the collected insurance-related data, or categorizes the insurance-related data into one or more groups by the predetermined reference information, Insurance-related keywords can be extracted.

The insurance related keyword extracted by the control module 205 may be stored in a table provided in the database 207. [

The insurance-related keyword represents a character string constituting information included in the collected insurance-related data, and may be composed of a noun, a pronoun, an investigation, an investigation, a verb, an adjective, an obsession, an adverb, .

In addition, the insurance-related keyword includes not only the keyword directly related to the insurance such as the name of the insurance product but also indirect keywords constituting the insurance product such as the content of the insurance product, the terms of the insurance product, the period of the insurance product, .

In addition, the insurance-related keywords can be continuously changed according to social issues (personal information, suicide problems, etc.) or interests of insurance companies, and can be variously reconfigured according to insurance issues, insurance products, marketing purposes, It can include both social terms and coined words.

In addition, the insurance-related keyword may be divided into at least one part-speech unit among the parts-of-speech and stored in a table provided in the database 207 for extraction. That is, the insurance product keyword may be divided into a single part of speech unit of a keyword, and may be divided into a plurality of parts of speech units not of a single part of speech.

For example, according to one embodiment of the present invention, the insurance-related keyword is a user who is riding a bicycle for camping among insurance-related data. Keywords are segmented into a single part-of-speech unit from "camping", "prime", "bicycle", "ride", "user", "bike", "accident", "related", " And the divided insurance related keywords may be stored in a table provided in the database 207 for extraction.

Further, according to another embodiment of the present invention, the insurance-related keyword is an insurance-related data item "It is a user who is riding a bicycle for camping. The keyword may be divided into a plurality of parts of speech by "bicycle for camping", "user", "bicycle accident", "related product", "need" from the database 207 In the table stored in the table.

In addition, when the keyword is divided into a plurality of part-of-speech units, the insurance-related keyword may be divided and connected to a plurality of different parts of speech differently from the keyword division example described above. For example, insurance-related keywords are data from insurance related data such as "camping", "bicycling user", "bicycle", " A keyword associated with an accident, a product related to an accident, and a need, and the divided insurance-related keywords may be stored in a table provided in the database 207 for extraction.

In addition, the control module 205 may use an algorithm that implements the keyword segmentation and extraction method, or may select one of a plurality of algorithms that implement keyword segmentation and extraction.

In one aspect of the invention, the control module 205 may generate frequency data for each of the extracted keywords.

Specifically, the frequency data may include a frequency value obtained by counting the frequency of extracted insurance-related keywords stored in a table provided in the database 207. [ That is, the frequency value of the frequency data may indicate the number of duplicated keywords among the extracted insurance-related keywords.

For example, the above-mentioned insurance related keyword is an example of the above-mentioned data "It is a user who is riding a bicycle for camping. Can be extracted as "camping", "prime", "bicycle", "ride", "user", "bicycle", "accident", "related", "commodity" and "need" Among the extracted insurance related keywords, the "bicycle" keyword may have the frequency value "2 ", and the remaining keywords may have the frequency value" 1 ".

In one aspect of the present invention, the control module 205 can generate the frequency data of the insurance-related keyword directly extracted from the collected insurance-related data, and generate the insurance-related data by using the predetermined reference information, , And generate frequency data of the insurance-related keyword extracted from the data in the groups.

In addition, the generated frequency data may be stored in the database 207.

In one aspect of the present invention, the control module 205 may generate insurance-feedback information for the extracted keyword based on the generated frequency data.

The insurance feedback information includes insurance product information, change of insurance product, discard of insurance product, determination of selling point of insurance product, determination of sales area of insurance product, determination of age group of sales of insurance product, Notification of information about the insurance of the product, and information related to creation and modification of the insurance agent training material.

In particular, the control module 205 may determine the frequency value of the frequency data in descending order (e.g., from a high value to a low value), and may include a keyword having the highest frequency value or a specific frequency value range Or information reflecting at least one of the insurance feedback information matching the keyword or the keyword group. Also, the generated insurance-feedback information may be stored in the database 207. [

According to an embodiment of the present invention, the generated insurance-feedback information may be transmitted to the terminal of the insurance agent (FC) by the transmission module 203, and the insurance- FC) can provide personalized insurance related information to a plurality of customers, which ultimately can increase the yield of the insurance company.

In addition, the generated insurance feedback information provides information for advertisement production that can be customized to an unspecified number of prospective customers, so that accurate information can be informed to future customers who need insurance related information. This will ultimately increase the yield of insurance companies.

In one aspect of the present invention, the control module 205 includes a trend search engine that responds to each of one or more pre-determined keywords 307 with a first result data of the trend search engine and a trend search that responds to one or more of the customer category information 305 The second result data of the engine may be received by the receiving module 201 to generate insurance feedback information. Specific details related thereto will be described with reference to FIGS. 5 and 6. FIG.

In addition, the control module 205 may perform control related to the retrieval and storage of the big data in the receiving module 201 and the database 207. [ Such big data may include, for example, various data stored in the call center.

In addition, the control module 205 may determine the collection level of the big data. For example, the collection level of the big data may be classified into three types, i.e., classification of external data and internal data, classification of fixed data and unstructured data, number of predetermined keywords, capacity of data to be collected, Etc.), and the like. In addition, the control module 205 can determine the level of analysis of the big data.

Further, the control module 205 may set weights for particular URLs, specific websites, or specific social media. This weight can be used to guarantee the reliability of the collected big data. That is, when a weight is set for a specific URL or the like which is a basis for collecting big data according to user setting, company strategy, etc., weighting can be given to the reliability of the big data collected from the specific URL.

In a further aspect of the present invention, the control module 205 of the server 110 may generate a program associated with an application service covering insurance products. The user terminal 120 or the enterprise terminal 130 can receive and execute the corresponding application generated by the control module 205 of the server 110. [ The control module 205 may generate a message to install the application if the corresponding application is not installed in the user terminal or the enterprise terminal and may transmit the message through the transmission module 203. [ In addition, the control module 205 may generate a message to update to a new version of the application if the corresponding application of the user equipment is an old version. In one aspect of the invention, the functions of the control module 205 described above may be implemented by an independent server (e.g., a service platform server and / or an update server, etc.) separate from the server 110.

In further aspects of the present invention, if a particular application associated with the insurance company and / or certain actions of a particular application are billed as a fee, a payment is normally made through a billing module (not shown) The application may be provided. Additionally, such a billing module may be integrated into the control module 205 of the server 110, or may be coupled with the control module 205, so that it may be operatively associated with the control module 205. Further, the functions of the billing module described above may be implemented by independent servers (e.g., a billing server and / or a payment server, etc.) separate from the server 110. [

Additionally, the server 110 may include an EAI server. Therefore, through this EAI server, the insurance company can organically integrate all the related applications within the insurance company and establish an environment to centrally integrate, manage and use necessary information. When the server 110, the payment server, the billing server, and / or the database have different platforms, these servers can be integratedly managed through the EAI server.

The database 207 may collect insurance-related data from a plurality of customers via one or more routes.

The route may be a route for accessing the big data 301 stored in the database 207 in the server 110 and may be a route for accessing the big data 302 stored in the database 208 in the external server 111 ). ≪ / RTI > As a result, the server 110 can access the internal big data 301 through one of the routes and access the big data 302 stored in the database 208 in the external server 111 . In addition, the server 110 can not access the big data through only the route. The server 110 accesses the big data stored in the database in another server through a route other than the route described above, Other routes may be included. In addition, the route may be controlled by the receiving module 201 and the transmitting module 203 of each server.

According to an aspect of the present invention, the database 207 may access the big data 302 stored in the database 207 to collect insurance-related data from a plurality of customers.

The insurance related data may include consultation data from a plurality of customers and customer category information 305 associated with a plurality of customers. The customer category information 305 may include information for classifying and / or specifying daily personal information of a customer such as an age, a residence area, a job, a consultation date related to insurance, and an insurance date.

The consultation data from the plurality of customers may refer to data related to a consultation, a request or a complaint of a customer received through a call center server and a VOC (Voice Of Customer). In the case of consultation through the call center, the consultation data can be recorded as voice data. The recorded data may be stored in the database 207 for a specific period of time. The recorded customer consultation data 303 can be textized via STT (Speech To Text) technology. In one aspect of the present invention, the textual customer's consultation content or the recorded customer's consultation content may be included in the customer consultation data 303. [ Therefore, the server according to one aspect of the present invention can collect and store such customer consultation data 303. [

In addition, various STTs may be implemented, and the server of the present invention may include a separate STT engine.

According to another aspect of the present invention, the database 207 may access the big data 303 stored in the database 208 of the external server 111 to collect insurance-related data from a plurality of customers. In addition, the database 207 may collect data through the control of the transmission module 204 and the reception module 202 provided in the reception module 201, the transmission module 203, and the external server 111. As described above, the external server 111 may be included in the server 110 and operate integrally with the database 207. [

The insurance-related data may include data 311 on post information posted on a plurality of Internet sites. The posting information may include a blog, an online bulletin board, a frequently asked questions bulletin board, a knowledge providing service (e.g., a Helpout of Google, a Naver intellectual, ), And the like.

The insurance-related data may include voice information, and the voice information may include simple voice information or voice information extracted from the image information. Additionally, the voice information may be textualized via the STT technique.

In one aspect of the present invention, the database 207 may store predetermined keywords 307 and the first result data of the trend search engine and / or the second result data of the trend search engine. Further description regarding the operation of the database 207 will be described later in FIGS. 5 and 6. FIG.

In one aspect of the present invention, the database 207 may be coupled with other components of the server 110. In addition, the database 207 may include one or a plurality of databases. Optionally or alternatively, a database containing part or all of the information may be located within user terminal 120 or enterprise terminal 130. In addition, the database 207 may exist independently from the server 110. In this case, the database 207 may be capable of communicating with the server 110.

In further aspects of the present invention, the database 207 stores various information needed to provide to the user terminal 120 or the enterprise terminal 130, .

In an aspect of the present invention, the database 207 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD Or XD memory), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read- Memory, a magnetic memory, a magnetic disk, and an optical disk. In a further aspect of the present invention, the server 110 may operate in association with web storage that performs the storage function of the database 207 on the Internet.

The various embodiments described herein may be embodied in a recording medium or storage medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

For example, in accordance with a hardware implementation, the embodiments described herein may be implemented as application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs) may be implemented using at least one of field programmable gate arrays, processors, controllers, micro-controllers, microprocessors, and electrical units for performing other functions. The embodiments described herein may be implemented by the control module 207 itself.

In another example, according to a software implementation, embodiments such as the procedures and functions described herein may be implemented with separate software modules. Each of the software modules may perform one or more of the functions and operations described herein. Software code may be implemented in a software application written in a suitable programming language. The software code may be stored in the database 207 and executed by the control module 205.

FIG. 3 illustrates the interworking relationship between the financial server 110 and the external search engine server according to an embodiment of the present invention.

According to an aspect of the present invention, the server 110 may be configured with a receiving module 201, a transmitting module 203, a control module 205, and a database 207 as described above.

According to one aspect of the present invention, the database 207 may store the big data 301, and the big data 301 may include the customer consultation data 303, the customer category information 305, , And other data that may be possessed by the financial server 110.

In addition, the database 207 may store predetermined keywords 307 to be input to the search engine of the external server 111. The predetermined keyword may be pre-entered in advance by a user such as an insurance planner (FC) as described above.

Also, the database 207 may store external engine search result data 309. The external engine result data 309 includes data 311 of post information, real time keyword information 313, and / or trend search information 313 of the big data 302 stored in the database 208 provided in the external server 111. [ And may include engine result data 315.

In addition, the database 207 may store insurance related feedback information (not shown) generated from the external engine search result data 309.

The transmitting module 203 can exchange data with the receiving module 202 of the external server 111 and the receiving module 201 can exchange data with the receiving module 202 of the external server 111. According to an aspect of the present invention, The data can be interchanged with the data 204.

Specifically, the transmission module 203 of the server 110 can transmit the predetermined keyword to the reception module 204 of the external server 111, as described above, so that the external server 111 It is possible to retrieve information included in the big data 302 stored in the external server database 208 through the search engine of the external server 111. [

The receiving module 201 of the server 110 can receive the external engine search result data 309 transmitted by the sending module 204 of the external server 111 and the external engine search result data 309 May be stored in the database 207 of the server 110.

FIG. 4 illustrates a method for customer management that reflects trends according to an embodiment of the present invention.

Additional steps other than those shown in FIG. 4 may also be included in one aspect of the present invention, and steps of some of the steps shown in FIG. 4 may be omitted. In addition, at least a portion of the steps illustrated in FIG. 4 may be performed by the user terminal 120 and / or the enterprise terminal 130.

As shown in FIG. 4, a server 110 according to an aspect of the present invention may collect 401 insurance-related data from a plurality of customers through one or more routes.

According to an aspect of the present invention, the server 110 can access the big data 302 stored in the database 207 and collect insurance related data from a plurality of customers.

The insurance related data may include consultation data from a plurality of customers and customer category information 305 associated with a plurality of customers, as described above. The customer category information 305 may include category information for classifying and / or specifying daily personal information of a customer such as an age, a residence area, a job, an insurance-related consultation date, and an insurance coverage date.

According to an aspect of the present invention, the server 110 can access the big data 303 stored in the external server 111 and collect insurance related data from a plurality of customers.

The insurance-related data may include data 311 on post information posted on a plurality of Internet sites. The posting information may include a blog, an online bulletin board, a frequently asked questions bulletin board, a knowledge providing service (e.g., a Helpout of Google, a Naver intellectual, ), And the like.

According to an aspect of the present invention, the server 110 may categorize the collected insurance related data into one or more groups according to predetermined reference information (403).

Specifically, the categorization is an operation prior to extracting keywords for the collected insurance-related data, and grouping and classifying the data by the predetermined reference information to systematically and analytically process the collected insurance-related data . ≪ / RTI >

According to one aspect of the present invention, the predetermined reference information may include at least one of age information, job information and local information for a plurality of customers, and timing information for the insurance-related data. Specifically, the timing information on the insurance-related data may include information on when the data is generated and / or stored.

In addition, it may include customer category information 305 for classifying and / or designating personal information of a customer such as an age, a residence area, a job, an insurance-related consultation date, and an insurance coverage date for each unit.

According to an aspect of the present invention, the server 110 may extract insurance related keywords from the collected insurance related data or insurance related data categorized into the one or more groups (405).

That is, the server 110 extracts insurance-related keywords directly from the collected insurance-related data, categorizes the insurance-related data into one or more groups according to the predetermined reference information, The related keywords can be extracted.

In addition, the extracted insurance and related keywords can be stored in a table provided in the database 207.

According to an aspect of the present invention, the server 110 may generate frequency data for each extracted keyword (407).

Specifically, the frequency data may include a frequency value obtained by counting the frequency of extracted insurance-related keywords stored in a table provided in the database 207. [ That is, the frequency value of the frequency data may indicate the number of duplicated keywords among the extracted insurance-related keywords.

According to an embodiment of the present invention, the server 110 may generate frequency data of the insurance-related keyword directly extracted from the collected insurance-related data, and may generate the insurance-related data by using the predetermined reference information And categorization into the above groups, and frequency data of the insurance-related keyword extracted from the data in the groups can be generated.

In addition, the generated frequency data may be stored in the database 207.

As shown in FIG. 4, the server 110 may generate insurance feedback information for the extracted keyword based on the generated frequency data (408).

The insurance feedback information includes insurance product information, change of insurance product, discard of insurance product, determination of selling point of insurance product, determination of sales area of insurance product, determination of age group of sales of insurance product, Notification of information about the insurance of the product, and information related to creation and modification of the insurance agent training material.

Specifically, the server 110 may sort the frequency values of the frequency data in a descending order (for example, from a high value to a low value), and store the frequency values of the frequency data in descending order Information on at least one of the insurance-feedback information matching the keyword or the keyword group can be generated by selecting or reflecting the placed keyword-group. The generated insurance feedback information may be stored in the database 207 of the server 110.

According to an embodiment of the present invention, the generated insurance feedback information may be transmitted to a terminal of an insurance agent (FC), and through the transmitted insurance feedback information, the insurance company (FC) It can provide information about insurance, which ultimately can increase the yield of the insurance company.

In addition, the generated insurance feedback information provides information for advertisement production that can be customized to an unspecified number of prospective customers, so that accurate information can be informed to future customers who need insurance related information. This will ultimately increase the yield of insurance companies.

Figure 5 illustrates a method for customer management that reflects trends according to another embodiment of the present invention.

Additional steps besides the steps shown in FIG. 5 may also be included in one aspect of the present invention, and steps of some of the steps shown in FIG. 5 may be omitted. In addition, at least a portion of the steps illustrated in FIG. 5 may be performed by user terminal 120 and / or enterprise terminal 130.

As shown in FIG. 5, the server 110 according to one aspect of the present invention may send one or more predetermined keywords to the trend search engine. Specifically, the predetermined keyword may be transmitted to the trend search engine through the transmission module 203 of the server 110 (501).

As described above, the trend search engine includes a search system that notifies the search trend of a specific keyword for a specific keyword, and includes a system for comparing the search frequency of a specific keyword according to a specific time, (E.g., Google Trends or Neighbor Trends). As a result, the insurance planner (FC) can input specific keywords of the trend search engine to grasp insurance related information through specific keywords included in the result data 315 of the trend search engine.

The predetermined keyword 307 may refer to a keyword designated by a user such as an insurance planner (FC), not a keyword extracted from the above-described insurance-related data. Specifically, the keyword (307) may be a keyword associated with an insurance that a user intends to search in a trend search engine such as an insurance planner (FC), and the predetermined keyword (307) is transmitted to an external search engine including a trend search engine Can be used to derive search results.

In addition, the predetermined keyword 307 may include a direct keyword related to insurance (for example, a name of insurance product such as actual expenses insurance, life insurances insurance, industrial accident insurance), and may include an indirect keyword related to insurance (for example, The content of the insurance product, the terms of the insurance product, the period of the insurance product, the price of the insurance product, etc.).

In addition, the predetermined keyword 307 may transmit only a part of the predetermined keywords 307 to the receiving module 202 of the external server 111 by the sending module 203, It is possible. In addition, the keywords can be sequentially transmitted, and the keywords can be transmitted all at once.

In one aspect of the present invention, the predetermined keyword 307 includes real-time keyword information 313 received during a specific period from at least one search engine among external search engines including a trend engine, and result data 309 , ≪ / RTI > after a certain period of time has elapsed.

Specifically, the predetermined keyword 307 may be a method by which the user sets a predetermined amount of keywords in advance such as an insurance planner (FC), and the predetermined keyword 307 according to the method is changed and updated It may be necessary to do so. In addition, the predetermined keyword 307 may have a characteristic capable of reflecting a trend for a specific period of time.

Accordingly, the database 207 can update the predetermined keyword 307 by receiving the real-time keyword information 313 provided by the external search engine including the trend engine through the reception module 201. [ Also, the database 207 may store the updated keyword.

The database 207 also updates the predetermined keyword 307 based on the keyword extracted from the external search engine result data 309 for the existing predetermined keyword 307 via the reception module 201 .

Specifically, the result data 309 of the external search engine is made up of information related to the predetermined keyword 307, and the control module 205, which will be described later, (307).

In addition, the updated keyword may be extracted by the control module 205 as an insurance related keyword. In addition, the extracted insurance-related keyword may be stored in the database 207. Further, the extracted insurance-related keywords may be stored in the database 207 separately from existing predetermined keywords 307.

According to an aspect of the invention, the server 110 may receive the first result data of the trend search engine in response to each of the transmitted one or more keywords (503).

Specifically, the first result data of the trend search engine may be received through the receiving module 201 of the server 110. In addition, the first result data may include data indicative of the frequency of the one or more predetermined keywords over time.

The trend search engine is a system for comparing the number of searches of a specific keyword according to a specific time, as described above, and the first result data may indicate the frequency of the one or more predetermined keywords according to a specific time.

According to an aspect of the present invention, the server 110 may generate insurance related feedback information based on a comparison of frequencies of the keywords included in the first result data (505).

The insurance feedback information includes insurance product information, change of insurance product, discard of insurance product, determination of selling point of insurance product, determination of sales area of insurance product, determination of age group of sales of insurance product, Notification of information about the insurance of the product, and information related to creation and modification of the insurance agent training material.

In particular, the control module 205 may determine the frequency value of the frequency data in descending order (e.g., from a high value to a low value), and may include a keyword having the highest frequency value or a specific frequency value range Or information reflecting at least one of the insurance feedback information matching the keyword or the keyword group. Also, the generated insurance-feedback information may be stored in the database 207. [

According to an embodiment of the present invention, the generated insurance-feedback information may be transmitted to the terminal of the insurance agent (FC) by the transmission module 203, and the insurance- FC) can provide personalized insurance related information to a plurality of customers, which ultimately can increase the yield of the insurance company.

In addition, the generated insurance feedback information provides information for advertisement production that can be customized to an unspecified number of prospective customers, so that accurate information can be informed to future customers who need insurance related information. This will ultimately increase the yield of insurance companies.

According to an aspect of the present invention, the server 110 includes a control module 205 for comparing the frequency value information of the keywords included in the first result data to generate the insurance-related feedback information .

The first result data may be a type of trend data 315 of the trend search engine (e.g., a graph type). Also, the first result data may include frequency value information of a keyword for a specific time (for example, the horizontal axis represents time information and the vertical axis represents frequency value information).

In the following description, the result data 315 of the trend search engine corresponding to the first result data shown in Fig. 3 will be referred to.

Specifically, the server 110 selects or reflects a keyword having the highest frequency value by sorting the frequency values included in the first result data in a descending order (for example, from a high value to a low value) It is possible to generate the insurance-feedback information matching the keyword.

For example, in the first result data 315 shown in Fig. 3, the server 110 stores "insurance: 37", "Seoul: 12", "bicycle: 100 Quot ;, " Bicycle: 100 ", "Insurance: 37 "," Seoul: 12 ", and "Quot;, "male: 5 ", and the server 110 may generate insurance feedback information related to" bicycle " having the highest frequency value among the frequency values.

Also, the server 110 may generate or generate the insurance feedback information matching the keyword group by selecting or reflecting a keyword group within a specific frequency value range among the high frequency values.

For example, the first result data 315 has a high frequency value of "Bicycle: 100" and "Insurance: 37", and the server 110 stores the keywords "bicycle", "insurance" Lt; / RTI >

According to an aspect of the present invention, the server 110 may generate insurance feedback information based on a predetermined threshold value for the frequency for the one or more keywords included in the first result data (507) .

According to an aspect of the present invention, in order to generate the insurance-related feedback information, the server 110 may perform a control to compare the frequency value information of the keywords included in the first result data with the predetermined threshold value Module 205 may be provided.

For example, the first result data 315 has "Insurance 37", "Seoul 12", "Bicycle 100", "Male 5" at the time of "February 2012" 110) can select or reflect "bike" and "insurance" as keywords for generation of the insurance-related feedback information, where the frequency value is 30 or more, if the predetermined threshold value is 30 or more.

Further, if the predetermined threshold value is 30 or less, the keyword "Seoul "," male "having the frequency value of 30 or less may not be selected or reflected. Accordingly, the sending module 203 can transmit another keyword to the external server 111, and the server 110 can additionally perform an operation for obtaining first result data for another keyword.

The predetermined threshold may be set by a user such as an insurance planner (e.g., a frequency value of 30 or greater), and the predetermined threshold may be adjustable as needed. In addition, the predetermined threshold value may be stored in the database 207.

Additionally, although each keyword of different first result data is different, each generated insurance related feedback information may be the same.

The server 110 may further include a step 505 of generating feedback information based on the comparison of the keyword frequencies and a step 507 of generating feedback information based on a predetermined threshold value for the frequency with respect to the keyword It can be operated through one step.

Figure 6 illustrates a method for customer management that reflects trends according to another embodiment of the present invention.

Additional steps other than those shown in FIG. 6 may also be included in one aspect of the present invention, and steps of some of the steps shown in FIG. 6 may be omitted. In addition, at least some of the steps shown in FIG. 6 may be performed by the user terminal 120 and / or the enterprise terminal 130.

6 and FIG. 5, FIG. 6 illustrates a flow diagram for transmitting (step 601) and one or more customer category information 305 to a trend search engine in FIG. 5, The second result data of the trend search engine.

As shown in FIG. 6, the server 110 according to one aspect of the present invention may send one or more customer category information 305 to the trend search engine. Specifically, the customer category information 305 may be transmitted to the trend search engine through the transmission module 203 of the server 110 (601).

Specifically, the server 110 not only transmits the predetermined keyword 307 described above but also transmits the customer category information 305 stored in the database 207 through the transmission module 203 to a trend search Can be transmitted to the engine.

The customer category information 305 may include information for classifying the customer's personal information such as age, residence area, occupation, consultation date related to insurance, date of insurance, etc., and / or designating one by one.

The server 110 according to an aspect of the present invention may receive the second result data of the trend search engine that responds to each of the transmitted one or more customer category information 305 (603).

The second result data may include data indicative of the frequency of the one or more predetermined keywords in time, as in the first result data described above. In addition, the second result data may include data indicating the frequency of the keyword according to the timing in units of the customer category information.

Although not shown in FIG. 6, the server 110 according to an aspect of the present invention includes a step 505 of generating feedback information based on a comparison of frequencies of keywords included in the second result data shown in FIG. 5 ) And / or generating (507) feedback information based on a predetermined threshold value for the frequency for the keyword.

The server 110 according to an aspect of the present invention may generate insurance feedback information based on at least one result data of the first result data and the second result data (605).

Specifically, the server 110 may generate insurance-benefit feedback information based on the first resultant data, and may utilize the first resultant data and the second resultant data together to generate insurance-feedback information, as described above .

That is, the server 110 may utilize the information on the second result data, which is a response to the customer category information 305, to further reflect a specific trend when generating insurance related feedback information. Accordingly, Users such as designers (FC) can grasp insurance related feedback information that reflects various trends.

As described above, the above-mentioned insurance feedback information is used to generate insurance products, to change insurance products, to discard insurance products, to determine when to sell insurance products, to determine insurance product sales areas, to determine insurance product sales age groups, An advertisement of insurance products, a notification of information on insurance, and information related to the creation and modification of insurance agent training data.

In addition, the feedback information may be stored in the database 207 and transmitted to the user terminal 120 or the enterprise terminal 130 through the transmission module of the server 110.

In one or more exemplary implementations, the functions presented herein may be implemented in hardware, software, firmware, or a combination thereof. When implemented in software, the functions may be stored on or transmitted via one or more instructions or code on a computer readable medium. Computer-readable media includes computer storage media and communication media including any medium for facilitating transfer of a computer program from one place to another. The storage medium may be any general purpose computer or any available medium that can be accessed by a special purpose computer. By way of example, and not limitation, such computer-readable media can comprise any form of computer readable medium, such as RAM, ROM, EEPROM, CD-ROM or other optical disk storage media, magnetic disk storage media or other magnetic storage devices, But not limited to, a general purpose computer, a special purpose computer, a general purpose processor, or any other medium that can be accessed by a particular processor. In addition, any connection means may be considered as a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source over wireless technologies such as coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or infrared radio, and microwave, Wireless technologies such as cable, fiber optic cable, twisted pair, DSL, or infrared radio, and microwave may be included within the definition of such medium. The discs and discs used here include compact discs (CDs), laser discs, optical discs, DVDs, floppy discs, and Blu-ray discs where disc plays the data magnetically, As shown in FIG. The combinations may also be included within the scope of computer readable media.

Those skilled in the art will appreciate that the various illustrative elements, components, logical blocks, modules, and algorithm steps described above may be implemented as electronic hardware, computer software, or combinations thereof. In order to clarify the interchangeability of hardware and software, various illustrative components, blocks, modules and steps have been described in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement these functions in varying ways for each particular application, but such implementation decisions are not necessarily outside the scope of the invention.

The various illustrative logical blocks and modules described in connection with the present disclosure may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, Or transistor logic, discrete hardware components, or any combination designed to implement the functions described herein. A general purpose processor may be a microprocessor; In an alternative embodiment, such a processor may be an existing processor, controller, microcontroller, or state machine. A processor may be implemented as a combination of computing devices, such as, for example, a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or a combination of such configurations.

For a hardware implementation, the various illustrative logic, logic blocks, and modules of processing units described in connection with the aspects disclosed herein may be implemented with one or more application specific integrated circuits (ASICs), digital signal processors (DSPs) Such as digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), discrete gate or transistor logic, discrete hardware components, general purpose processors, Controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof. The general purpose processor may be a microprocessor, but, in the alternative, it may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented in a combination of computing devices (e.g., a DSP and a microprocessor, a plurality of microprocessors, a combination of one or more microprocessors in conjunction with a DSP core, or any other suitable configuration). Additionally, at least one processor may include one or more modules capable of implementing one or more of the steps and / or operations described herein.

In addition, various aspects or features described herein may be implemented as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques. Moreover, steps and / or operations of a method or algorithm described in connection with the aspects disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. Additionally, in some aspects, steps or acts of a method or algorithm may be present as a machine-readable medium, or as a combination of at least one or any combination of codes or instructions on a computer-readable medium, It can be integrated into computer program stuff. The term article of manufacture as used herein is intended to encompass a computer program accessible from any suitable computer-readable device or medium.

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features presented herein.

Claims (15)

22. A computer-readable medium,
The computer-readable medium stores instructions that cause a computer to perform the following operations:
Collecting insurance-related data from a plurality of customers through a route for accessing the big data stored in the database in the server and a route for accessing the big data stored in the database in the external server;
Categorizing the collected insurance-related data into one or more groups according to age information, job information, local information, and timing information on the insurance-related data for the plurality of customers;
Extracting insurance-related keywords for each category from the collected insurance-related data;
Generating frequency data for each of the extracted keywords in the categorized one or more group units; And
Generating insurance feedback information for the extracted keyword based on the generated frequency data;
/ RTI >
The insurance-feedback information includes at least one of insurance-product-sales-time determination, insurance-product sales area determination, insurance sales-age-group determination,
Computer-readable medium. delete delete delete The method according to claim 1,
The insurance-
At least one of an action of textualizing the recorded customer's insurance related information through Speech To Text (STT), an operation of collecting customer inquiry data in text, and a Voice Analysis function of analyzing recorded voice of the customer Which is collected based on the operation,
Computer-readable medium. The method according to claim 1,
The insurance-
An advertisement of the insurance product, a notification of information on the insurance, and information related to creation and change of the insurance agent training material,
Computer-readable medium. An apparatus for utilizing trend information,
A database for collecting insurance-related data from a plurality of customers through a route for accessing the big data stored in the database in the server and a route for accessing the big data stored in the database in the external server; And
A first operation for collecting insurance-related data from a plurality of customers via a route for accessing the big data stored in the database in the server and a route for accessing the big data stored in the database in the external server, A second operation of categorizing the collected insurance-related data into one or more groups according to the age information, the job information, the local information, and the timing information on the insurance-related data, a second operation of categorizing the collected insurance- A fourth operation for generating frequency data for each of the extracted keywords in the categorized one or more groups, and a fourth operation for generating insurance feedback information for the extracted keywords based on the generated frequency data, A control module that implements a fifth operation to generate the second operation;
/ RTI >
The insurance-feedback information includes at least one of insurance-product-sales-time determination, insurance-product sales area determination, insurance sales-age-group determination,
Apparatus for utilizing trend information. 22. A computer-readable medium,
The computer-readable medium stores instructions that cause a computer to perform the following operations:
Sending one or more predetermined keywords to the trend search engine;
Receiving a first result data of a trend search engine that responds to each of the transmitted one or more keywords, the first result data comprising data indicative of the frequency of the one or more predetermined keywords in time; And
Generating insurance-benefit-feedback information based on the first result data;
/ RTI >
Wherein the first result data comprises:
A first operation for collecting insurance related data from a plurality of customers through a route for accessing big data stored in a database in the trend search engine and a route for accessing big data stored in a database in an external server, A second operation of categorizing the collected insurance-related data into one or more groups according to the age information, the occupation information, the regional information, and the timing information on the insurance-related data of the customers of the insurance company, A third operation for extracting a related keyword, a fourth operation for generating frequency data for each of the extracted keywords in the categorized one or more group units, and a fourth operation for insuring the extracted keyword based on the generated frequency data Based on the fifth operation of generating the feedback information, It is, and
The insurance-
Including the determination of the point of sale of the insurance product, the determination of the insurance product sales area, the determination of the insurance sales age group,
Computer-readable medium. 9. The method of claim 8,
The predetermined keyword is a keyword,
And automatically updating at least one of the real-time keywords received from a search engine of at least one of the external search engines including the trend engine and the extracted keywords from the result data of the external search engine,
Computer-readable medium. 9. The method of claim 8,
The act of generating the insurance-
Comparing the frequencies of the one or more keywords included in the first result data, and generating at least one of the keywords having the highest value among the frequency and the keywords forming the highest frequency group, / RTI >
Computer-readable medium. 9. The method of claim 8,
The act of generating the insurance-
And generating insurance-benefit-feedback information by reflecting a keyword having a frequency equal to or greater than a predetermined threshold value for the frequency of the one or more keywords included in the first resultant data.
Computer-readable medium. 9. The method of claim 8,
The insurance-
An advertisement of the insurance product, a notification of information on the insurance, and information related to creation and change of the insurance agent training material,
Computer-readable medium. 9. The method of claim 8,
Sending one or more customer category information to the trend search engine; And
Receiving a second result data of a trend search engine that responds to each of the one or more transmitted customer category information, wherein the second result data includes a frequency for each of the one or more keywords at a time in the customer category information unit Includes data to display;
≪ / RTI >
Computer-readable medium. 14. The method of claim 13,
The act of generating the insurance-
And generating insurance coverage information based on at least one of the first result data and the second result data.
Computer-readable medium. An apparatus for utilizing trend information,
A transmitting module for transmitting one or more predetermined keywords to the trend search engine;
A receiving module for receiving a first result data of a trend search engine that responds to each of the transmitted one or more keywords, the first result data comprising data indicative of the frequency of the one or more predetermined keywords in time; ; And a control module for generating insurance feedback information based on the first resultant data. And
A database storing the predetermined keyword to be transmitted, the first result data of the received trend search engine and the insurance feedback information;
/ RTI >
Wherein the first result data comprises:
A first operation for collecting insurance related data from a plurality of customers through a route for accessing big data stored in a database in the trend search engine and a route for accessing big data stored in a database in an external server, A second operation of categorizing the collected insurance-related data into one or more groups according to the age information, the job information, the local information, and the timing information on the insurance-related data of the customers of the insurance company, A third operation for extracting a related keyword, a fourth operation for generating frequency data for each of the extracted keywords in the categorized group of one or more groups, and a fourth operation for insuring the extracted keyword based on the generated frequency data Based on the fifth operation of generating the feedback information, It is, and
The insurance-
Determination of the point of sale of the insurance product, determination of the insurance product sales area, determination of the insurance sales age group, and determination of the insurance product sales profession group,
Apparatus for utilizing trend information.

Images