KR20200115694A - System and method for providing of trading area information using big data - Google Patents

Abstract

The present invention relates to a system and a method for providing commercial area information by using big data. With the present invention, it is possible to provide startup-related technical information by collecting and analyzing the number of floating population and social information. The system includes a user terminal and a management server including: a commercial area of interest setting unit receiving region of interest and business type of interest input from the user terminal; a store information collection unit extracting stores of interest located in the region of interest and collecting store information including the locations and distribution of the stores of interest; a floating population count collection unit collecting the floating population count around each store of interest in terms of distance and registering it as floating population count information on the store of interest; a social information collection unit collecting the social information distributed through a social network service with respect to each store of interest; a big data management unit generating commercial area information big data by gathering the store information, the floating population count information, and the social information; and a recommended area selection unit extracting a recommended area by analyzing the commercial area information big data, generating a recommended area map by overlapping the recommended area on an electronic map, and providing the recommended area map for the user terminal. According to the present invention, big data establishment is performed by online collection of information on stores of interest related to a region of interest and a business type of interest selected by a user and the user can be provided with highly reliable commercial area information by the big data being analyzed.

Description

System and method for providing commercial area information using big data {SYSTEM AND METHOD FOR PROVIDING OF TRADING AREA INFORMATION USING BIG DATA}

The present invention relates to a system and method for providing commercial district information using big data, and in more detail, a system for providing commercial district information using big data that can provide technical information on startups by collecting and analyzing floating population and social information, and It's about how.

Companies that sell products and provide services to customers are adopting a methodology of customer relationship management (CRM) to attract customers and maintain a continuous relationship by increasing the satisfaction of existing customers.

CRM refers to a customer-centered management technique that indexes customer purchase-related behavior by organizing and analyzing information data on current customers and potential customers and converting them into marketing information, and develops, realizes, and revises marketing programs based on this. do.

From the standpoint of companies, CRM provides a marketing solution that extracts excellent customers based on information on existing customers and can intensively manage these excellent customers.

And this CRM has developed into a Geographic-CRM (GCRM) system and is attempting to combine a Geographical Information System (GIS) with CRM.

However, such a conventional gCRM solution has a limitation in that it provides only fragmentary information such as demographics related to geographic information, and thus a new information provision method capable of providing comprehensive analysis information on the commercial district of a specific region is required.

In addition, in recent years, as a support technology for marketing and start-ups such as regional business districts, regional economic analysis, and location selection, services provided by analyzing commercial areas using statistical analysis methods are becoming more common.

If people want to start a business, collect information such as identifying the business district in the region where they will start business, or whether the business type to be started is competitive in the business district, and based on the business district information corresponding to the result of analyzing the business district based on the collected information. You will start your business.

However, the biggest handicap in start-ups is lack of experience and lack of ability to analyze market trends, and there is a problem that when a person who has been working or studying only starts a new business, he cannot easily adapt. Accordingly, in the process of preparing for a business start-up, in order to analyze the commercial area within a specific region, the commercial area information system provided by the Small Business Market Promotion Corporation is used, or consulting to provide information helpful for the start-up is also available.

However, the commercial area information system currently provided is the actual information of consumers such as the distribution of population for a specific area, geographical information such as public institutions and industrial facilities, the amount of card used in the existing commercial area, and simple mobile information collected through mobile devices. Commercial district information is provided based only on statistical data that cannot identify demand, and after starting a business according to a consulting service designed based on this information, there are frequent cases of closing the business with enormous losses due to gaps from market demands. Actually.

Republic of Korea Patent Publication No. 10-2017-0017725 (published on February 15, 2017) Korean Patent Registration No. 10-1731189 (announced on April 27, 2017) Korean Patent Registration No. 10-1794115 (announced on November 6, 2017)

Therefore, the first object of the present invention is to collect the floating population and social information to build commercial district information big data, analyze the commercial district information big data, and provide commercial district information using big data that provides commercial district information suitable for the user's request. It is to provide the system.

In addition, a second object of the present invention is to collect social information of a store related to a business type selected by the user through a social network service by utilizing the rapid information sharing ability, which is an advantage of the Internet, and to help select a business establishment location based on this. The main is to provide a method of providing commercial district information using big data.

In order to achieve the first object of the present invention as described above, in an embodiment of the present invention, in an embodiment of the present invention, a user terminal connected to a communication network and a user terminal connected through the communication network set an area of interest and a business type of interest to be input. Buwa, a store information collection unit that searches for stores located in the area of interest, extracts stores of interest having the same business type as the business type of interest, and collects store information including the location and distribution of the interested stores, and around each store of interest A floating population collection unit that collects the floating population of the street and registers it as the floating population information of a store of interest, a social information collection unit that collects social information distributed through a social network service for each interested store, and the store information and flow A big data management unit that collects population number information and social information to generate commercial area information big data, and extracts one or more recommended areas by analyzing the business area information big data, and creates a recommended area map by overlapping the recommended area on an electronic map. It provides a commercial area information providing system using big data including a management server including a recommended area selection unit that provides the recommended area map to a user terminal.

In addition, in order to achieve the second object of the present invention, in an embodiment of the present invention, in an embodiment of the present invention, a management server includes a setting step of receiving an area of interest and a type of industry of interest from a user terminal accessed through the Internet, and the management server After extracting the shops of interest that match the region of interest and the business of interest entered from, the shop information is collected, the floating population of the streets around each of the shops of interest is collected and registered as the floating population information of the shops of interest, and social An information collection step of collecting social information distributed through a network service, a big data construction step in which the management server collects store information, floating population information, and social information to generate commercial area information big data, and the management server Big data including a recommended area providing step of analyzing information big data to extract one or more recommended areas, creating a recommended area map by overlapping the recommended area on an electronic map, and providing the recommended area map to a user terminal Provides a method of providing commercial district information using

According to the present invention, it is possible to construct big data by collecting information on a region of interest selected by a user and stores of interest related to a business type of interest, and to analyze the big data to provide users with highly reliable commercial district information.

In addition, the present invention can provide to prospective founders by analyzing the reputation of a competitor existing at a location to start a business through SNS, and actively adjusting a recommended place to start a business according to the reputation of the competitor.

In addition, the present invention provides a consulting service based on big data to prospective founders, thereby helping to predict the actual demand of the interested business in advance.

1 is a block diagram illustrating a commercial zone information providing system according to the present invention.
2 is a block diagram illustrating a management server according to an embodiment of the present invention.
3 is a flowchart illustrating a method for providing commercial area information according to the present invention.

Hereinafter, a system and method for providing commercial area information using big data according to exemplary embodiments of the present invention (hereinafter, abbreviated as'commercial area information providing system') will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a system for providing commercial area information according to the present invention, and FIG. 2 is a block diagram illustrating a management server according to an embodiment of the present invention.

1 and 2, the commercial area information providing system according to the present invention includes a user terminal 100 connected through a wired/wireless communication network (hereinafter, abbreviated as a'communication network'), and a user connected through the communication network. Receives the region of interest and the type of business of interest from the terminal 100, extracts the store of interest, collects store information, floating population, and social information related to the store of interest to build store information big data, analyzes store information big data, and recommends It includes a management server 200 that generates an area map and provides it to the user terminal 100.

Hereinafter, each component will be described in more detail with reference to the drawings.

1 and 2, the system for providing commercial area information according to the present invention includes a user terminal 100.

The user terminal 100 receives individual identification number (ID) information from the user to participate in the commercial area information providing system, and receives condition information such as an area of interest and a business type of interest to analyze the commercial area, The ID information and condition information are transmitted to the management server 200 through a communication network.

In this case, the ID information may include one or more of the user's resident registration number or date of birth, the user's address, the user's phone number, and an ID and password for login. And the condition information may include capital.

As an embodiment, when the user terminal 100 according to the present invention is provided with commercial area information related to a start-up, when accessing the management server 200, conditions such as a region of interest and a business type of interest at the request of the management server 200 Register the information.

In another embodiment, when the user terminal 100 according to the present invention accesses the management server 200 through an application provided by the management server 200, conditions such as a region of interest and a business type of interest are Information is registered in the management server 200.

In addition, the user terminal 100 provides a function of receiving the recommended area map requested by the user from the management server 200 and outputting an image. At this time, on the recommended area map, the recommended area overlapped on the electronic map by the management server 200 is displayed together with the general electronic map.

In addition, when the recommended area is selected by the user on the recommended area map, the user terminal 100 generates a recommended area selection signal and transmits it to the management server 200.

As described above, since the commercial zone information providing system according to the present invention visualizes the zone of interest registered by the user and the commercial zone information matched with the sector of interest to be displayed on an electronic map, the company user can check the location of the recommended zone together with real estate information. .

The user terminal 100 refers to a means for accessing the management server 200 through a wired communication network such as the Internet and a wireless communication network including a plurality of base stations and base station controllers, mobile communication switches, and WAP gateways, and , Wireless terminal and wired terminal can be used.

In this case, a smart phone, a tablet PC, a notebook computer, etc. may be used as a wireless terminal, and a personal computer having an Internet connection means, a communication terminal, a television, and a wired telephone may be used as a wired terminal.

1 and 2, the commercial zone information providing system according to the present invention includes a management server 200.

The management server 200 receives and registers condition information for start-up, such as an area of interest and a type of business of interest, from a user (customer) connected through a communication network, and collects various information related to the condition information through the Internet to obtain commercial district information. Big data is constructed, and a recommended area map is generated by analyzing the commercial area information big data and provided to the user terminal 100.

In addition, the management server 200 generates information on the number of floating populations and real estate prices required for the analysis of the commercial district, and selectively provides information according to the accumulation of the map displayed on the user terminal 100 to improve the delivery efficiency of the commercial district information. I can.

If necessary, the management server 200 receives a condition input page in which condition information such as an area of interest and an area of interest is input from any first user terminal or when transmitting a recommended area map to the first user terminal, the blockchain By applying the technology, data transmitted and received with the first user terminal can be stored in other user terminals other than the first user terminal. This is to ensure that data transmitted/received between the user terminal 010 and the management server 200 cannot be forged or altered so that when a problem occurs, the evidence data is mutually secured.

In addition, the management server 200 may be configured to predict the rate of return through the analysis of the cost of sales for the commercial district, and provide information about this to the user terminal 100 to confirm the approximate rate of return relative to the user's investment. .

To this end, the management server 200 includes a commercial area of interest setting unit 210, a store information collection unit 220, a floating population collection unit 230, a big data management unit 250, and a recommended area selection unit 260, and , Optionally, a communication unit and a storage unit 270 and a commercial area analysis unit 280 may be further included.

The communication unit constituting the management server 200 of the present invention is connected to the user terminal 100 through a communication network to transmit and receive data, and a wired communication protocol or a GSM/3GPP series communication method (GSM, HSDPA, LTE Advanced) , The communication network may be connected through a wireless communication protocol such as 3GPP2 series communication method (CDMA, etc.) or WiMAX, but may be connected through a communication protocol to be developed according to the development of future technologies.

The storage unit 270 constituting the management server 200 of the present invention stores various types of information necessary for driving the management server 200, and is necessary for the operation of the operating system and detailed configuration required for driving the management server 200. The program can be stored, and data temporarily generated according to the operation of the detailed configuration and data generated as a result of the operation of the detailed configuration can be stored.

More specifically, the storage unit 270 is a store information database (DB) to store various types of information collected through the store information collection unit 220, the floating population collection unit 230, and the social information collection unit 240, It includes a floating population database (DB) and a social information database (DB), and may optionally store a store classification list by industry.

The product information DB is a DB that categorizes and stores store information collected through the store information collection unit 220 by interest store.

The floating population DB is a DB that categorizes and stores the floating population collected through the floating population collection unit 230 by interest store.

The social information DB is a DB that categorizes and stores social information collected through the social information collection unit 240 by interest store.

If necessary, the storage unit 270 can use a variety of distributed storage methods in which various types of information not stored in the product information DB, the floating population DB, and the social information DB are classified according to size and stored in several storage locations. Preferably, a Hadoop file system (Hadoop Distributed File System, HDFS) is used. More specifically, the storage unit 270 standardizes on the basis of items so that various result provision formats or provision results (webpages, documents, bulletin boards, comments, etc.) can be analyzed in an integrated manner, and Classification criteria are divided into hierarchical integration codes to classify each type.

To this end, the storage units 270 and 120 distribute and store the collected information in various DBs, while storing information on the distributedly stored location, file name, group code, input date, etc., and in the metadata database. It may further include a collection agent module that provides information, and a data flow control module that divides and stores according to the size of the collected data.

The commercial area of interest setting unit 210 constituting the management server 200 of the present invention receives condition information such as an area of interest and an area of interest from the user terminal 100 accessed through a communication network. Since the commercial districts are different for each industry even in the same region and different, specific condition information for generating the commercial district information is input from the user terminal 100.

To this end, when the provision of commercial zone information is requested to the management server 200, the interested commercial zone setting unit 210 requests input of condition information to the user terminal 100 requesting the provision of the commercial zone information.

Specifically, the commercial area of interest setting unit 210 provides a condition input page including items such as an area of interest and a type of business of interest to the user terminal 100, and a condition for which an area of interest and an area of interest are set from the user terminal 100 When registration of the input page is requested, it is stored in the product information DB of the storage unit 270.

For example, when an area of interest is input through the user terminal 100, the commercial area of interest setting unit 210 outputs a map of a predetermined area through an application or a web page of the user terminal 100, and a specific area of interest is specified through the map. Enter the commercial area. At this time, the user may enter a commercial area in a square or circular shape by a scrolling motion of spreading or narrowing two fingers on the map displayed on the user terminal 100, or inputting a commercial area through operations such as drawing a boundary line directly with a finger. .

The store information collection unit 220 constituting the management server 200 of the present invention searches for stores located in the area of interest, extracts stores of interest having the same type of business as the type of interest, and includes the location and distribution of the stores of interest. By collecting the stored store information, stores corresponding to the interested business type are extracted as interested stores through the store classification list for each business type stored in the storage unit 270.

Specifically, the store information collection unit 220 searches after accessing the government office server, collects an address matched with the name of the store of interest, and generates location information of the store of interest through this.

The floating population collection unit 230 constituting the management server 200 of the present invention collects the floating population number of the streets around each shop of interest and registers it as information on the floating population of the shop of interest. The floating population may be generated based on statistical data collected through the web, but is not limited thereto.

As a specific aspect, the floating population collection unit 230 according to the present invention accesses a site published through the Internet, such as a small business district information system, and collects the floating population of the surrounding distance through search of the site, thereby You can register with population information.

On the other hand, the floating population number can be corrected according to the level of its income. For example, the floating population collection unit 230 calculates a weight to be applied to the floating population based on the information on the average annual salary and average income of a company within a distance around a store of interest and a preset distance, and applies the calculated weight to the floating population. Applied to determine the floating population of the surrounding distance.

At this time, the weight is determined according to the average annual salary and average income, and is calculated so that the number of floating populations in commercial districts with high average annual salary and average income increases, and the number of floating populations in commercial districts with low average annual salary and average income decreases.

By correcting the floating population number based on the average annual salary and average income as described above, the floating population collection unit 230 may generate floating population information reflecting actual purchasing power.

The big data management unit 250 constituting the management server 200 of the present invention collects social information distributed through a social network service for each store of interest, and the contents and numbers of the opening article including the name of the store of interest Analyze. Here, the social information refers to information distributed through social network services such as Twitter, personal blog, Facebook, and various portal sites.

The big data management unit 250 may use a collection method through an ETL (Extraction, Transformation, Loading) and a crawling engine (Crawling Engine) as a method of collecting social information. Here, the collection method through the crawl engine is a method of copying and collecting data from a web page registered in the designated SNS server 400, and the ETL is a storage unit for storing social information stored in the storage unit 270 of the management server 200. It is a method of extracting from the DB of (270).

The big data management unit 250 constituting the management server 200 of the present invention generates commercial area information big data by collecting the store information, the floating population information, and social information, and stores the stores of interest stored in the storage unit 270. It extracts and collects information, floating population information, and social information to generate big data for commercial district information.

The big data management unit 250 may store commercial area information big data in a big data DB of the storage unit 270.

The recommended area selection unit 260 constituting the management server 200 of the present invention analyzes the commercial area information big data to extract one or more recommended areas, and generates a recommended area map by overlapping the recommended areas on an electronic map. As a result, the recommended area map is provided to the user terminal 100 through a communication network. In this case, the electronic map may be downloaded and used from the electronic map server 300 affiliated with the management server 200.

The recommended zone selection unit 260 analyzes social information and may designate the shop of interest as a benchmarking shop if the number of times the shop of interest is exposed to the social network service is a predetermined number, for example, 10,000 times or more. Further, the recommended area selection unit 260 readjusts the recommended area so that the recommended area is closer to the benchmarking store than a preset competitiveness securing area.

As a specific aspect, the recommended area selection unit 260 according to the present invention analyzes the words included in the social information, classifies the social information into positive information and negative information, and determines the negative information based on the number of exposures of the positive information. If the number obtained by offsetting the number of exposures is greater than or equal to a predetermined number, the recommended area may be readjusted so that the recommended area is closer to the benchmarking store than a preset competitiveness securing period. This is because stores, which are widely known through SNS, attract many customers and have a high ratio of effective customers compared to the general floating population, so even if you open a store close to the benchmarking store, you can secure enough customers.

Specifically, the recommendation zone selection unit 260 evaluates the emotion of each social information as either positive or negative for each keyword extracted from the analyzed morpheme of the social information, and classifies it as either positive or negative information by evaluating the emotion of each social information as a whole. do.

The recommended area selection unit 260 analyzes the social information and designates the interested store as a competitive store when the number of times the store of interest is exposed to the social network service is less than a predetermined number, and is preset between the competing stores. A recommended area is designated at a location that satisfies the competitive edge. This is because stores, which are not widely known through SNS, can secure effective customers according to the floating population, but the presence of competing stores in adjacent locations reduces the number of effective customers that can be secured.

The commercial area analysis unit 280 constituting the management server 200 of the present invention collects real estate information of the recommended area into which the selection signal is input when the selection signal of the recommended area is input through the recommended area map from the user terminal 100 By predicting fixed costs, it also predicts net profit based on store information, floating population information, and fixed costs.

In addition, the commercial area analysis unit 280 calculates a rate of return based on the fixed cost and net profit, and provides the rate of return to the user terminal 100 when the fixed cost includes the shopping price purchase cost or the shopping price charter cost. At this time, the shopping street purchase cost and the shopping street charter cost are based on the shopping street sales cost and the shopping street charter cost registered by the seller on the affiliated real estate information providing site.

If necessary, the commercial district analysis unit 280 may generate a list of industries that are expected to generate a rate of return greater than or equal to a predefined rate of return when the rate of return is lower than the predefined rate of return, and provide it to the user terminal 100.

3 is a flowchart illustrating a method for providing commercial area information according to the present invention.

3, the method for providing commercial district information according to the present invention includes a setting step (S100) of receiving condition information from a user terminal 100, and store information, floating population information, and social information for a store of interest according to the condition information. An information collection step (S200) of collecting information, a big data construction step (S300) of generating big data of commercial area information from the collected information, and a recommended area map including a recommended area by analyzing the big data of the commercial area information are generated. It includes a recommended area providing step (S400), optionally further comprising a predicted profit analysis step (S500) of analyzing the expected profit of the recommended area selected by the user terminal 100.

In the setting step (S100), the management server 200 receives condition information such as a region of interest and a business type of interest from the user terminal 100 accessed through a communication network. Specifically, in the setting step, the management server 200 displays a condition input page on the user terminal 100 that allows the user to input condition information through the user terminal 100 and select items such as a region of interest and an industry of interest. to provide.

In the information collection step (S200), the management server 200 extracts the shops of interest that match the condition information such as the region of interest and the type of business of interest input from the user terminal 100 through the setting step (S100), and then stores the store information thereof. To collect. And in this step (S200), the floating population number of the distance around each interested store is collected through the floating population statistics site to which the management server 200 is affiliated, and registered as the floating population number information of the interested store. In addition, in this step (S200), the management server 200 collects social information distributed through the social network service for each interested store through ETL (Extraction, Transformation, Loading) and a crawling engine. Collect through.

In the big data construction step (S300), the management server 200 generates commercial area information big data by collecting store information, floating population information, and social information collected through the information collection step (S200), and the commercial area information big data It is stored in the storage unit 270.

In the recommended area providing step (S400), the management server 200 analyzes the commercial area information big data prepared through the big data construction step (S300) to extract one or more recommended areas, and overlaps the recommended areas on the electronic map. Create a recommended area map. At this time, the management server 200 provides the recommended area map to the user terminal 100 having input condition information, and the user terminal 100 outputs the recommended area map provided from the management server 200 on a screen.

In the predicted income analysis step (S500), the management server 200 predicts the net profit of the recommended area as a selection signal of the recommended area is inputted from the user terminal 100 through the recommendation area map, and provides information on the net profit. The selection signal of the recommended area is provided to the inputted user terminal 100.

Specifically, in this step (S500), the management server 200 collects real estate information of the recommended area through the affiliated real estate information providing site to predict fixed costs, and predicts net profit based on store information, floating population information, and fixed costs. do.

Although described above with reference to preferred embodiments of the present invention, those skilled in the art will be able to variously modify and change the present invention without departing from the spirit and scope of the present invention described in the following claims. You will understand that you can.

100: user terminal 200: management server
210: Interest commercial district setting unit 220: Store information collection unit
230: floating population collection unit 240: social information collection unit
250: Big Data Management Department 260: Recommended Area Selection Department
270: storage unit 280: commercial district analysis unit

Claims (8)

A user terminal connected to a communication network; And
A commercial area of interest setting unit that receives an area of interest and a type of business of interest from the user terminal accessed through the communication network, and searches for stores located in the area of interest to extract stores of interest having the same business type as the type of interest, and the store of interest A store information collection unit that collects store information including the location and distribution of people, a floating population collection unit that collects the floating population number of the streets around each interested store and registers it as the floating population information of the interested store, and social for each interested store. A social information collection unit that collects social information distributed through a network service, a big data management unit that generates business district information big data by collecting the store information, floating population information, and social information, and the business district information big data Providing commercial area information using big data including a management server including a recommended area selection unit that extracts more than one recommended area, creates a recommended area map by overlapping the recommended area on an electronic map, and provides the recommended area map to a user terminal system. The method of claim 1, wherein the recommended area selection unit
By analyzing the social information, if the number of times that the store of interest is exposed to the social network service is more than a predetermined number, the store of interest is designated as a benchmarking store, and a recommended area is determined so that the recommended area is closer to the benchmarking store than a preset competitiveness securing period. Commercial area information providing system using big data, characterized in that the readjustment. The method of claim 2, wherein the recommended area selection unit
By analyzing the words included in the social information, social information is classified into positive information and negative information, and if the number obtained by offsetting the number of exposures of negative information based on the number of exposures of the positive information is more than a predetermined number, the recommended area is A system for providing commercial area information using big data, characterized in that the recommended area is readjusted to be closer to the benchmarking store than the set competitiveness securing period. The method of claim 1, wherein the recommended area selection unit
Analyzing the social information, and if the number of times that the store of interest is exposed to the social network service is less than a predetermined number, the store of interest is designated as a competitive store, and recommended to a location that satisfies the preset competitiveness securing section with the competing store. A system for providing commercial area information using big data, characterized in that an area is designated. The method of claim 1,
When a selection signal of a recommended area is input through the recommended area map from the user terminal, a commercial area analysis unit that collects real estate information of the recommended area to predict a fixed cost, and predicts net profit based on store information, floating population information, and fixed cost. Commercial area information providing system using big data, characterized in that it further comprises. The method of claim 5, wherein the commercial district analysis unit
If the fixed cost includes the shopping price purchase cost or the shopping price charter cost, the rate of return is calculated based on the fixed cost and the net profit, and if the rate of return is lower than the predetermined rate of return, a list of industries that are expected to generate a rate of return higher than the predetermined rate of return is created. Commercial area information providing system using big data, characterized in that provided to the user terminal. A setting step of receiving, by the management server, a region of interest and a type of industry of interest from a user terminal accessed through the Internet;
The management server extracts the shops of interest matched with the region of interest and the industry of interest input from the user terminal, collects the shop information, collects the floating population of the streets around each of the shops of interest, and registers it as the floating population information of the shop of interest. , An information collection step of collecting social information distributed through a social network service for each interested store;
A big data construction step of generating, by the management server, store information, floating population information, and social information to generate commercial area information big data; And
The management server analyzes the commercial area information big data to extract one or more recommended areas, overlaps the recommended areas on an electronic map to generate a recommended area map, and provides a recommended area map to provide the recommended area map to a user terminal. A method of providing commercial district information using big data including steps. The method of claim 7, after the step of providing the recommended area
When the selection signal of the recommended area is input from the user terminal through the recommended area map, the management server collects real estate information of the recommended area to predict a fixed cost, and predicts net profit based on store information, floating population information, and fixed cost. A method of providing commercial area information using big data, characterized in that it further comprises a step of analyzing expected revenue.

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