KR100883839B1 - A method for supporting store strategy - Google Patents

Abstract

A method for supporting store strategy is provided to apply geographic information to store information such as customer information and statistical information, thereby supporting the store systematically and improving work efficiency. A method for supporting store strategy comprises the following steps. An end user contacts a server which provides a store strategy supporting site(S101). The server determines whether the contacting end user is an authenticated user or not(S103). The server checks menu setting according to authority when the end user is an authenticated user(S105). The server transmits a set main screen to a web browse window(S107).

Description

A method for supporting store strategy}

The present invention relates to a technology that systematically and scientifically supports a series of store strategy from store opening to after-care / analysis by integrating store information, customer information, and various statistical information with geographic information. In particular, the present invention uses geographic information to find promising locations, analyzes the feasibility and business feasibility of branch candidates, manages store status of specific stores, and conducts basic statistical analysis / customer analysis / sales marketing through analysis of store owners or arbitrary areas. The present invention relates to a service method that supports a store strategy using geographic information, such as supporting technology and comparative analysis of characteristics among stores.

In the conventional technology for using geographic information, a marketing support service and a macro business analysis service using geographic information have been proposed, but a store strategy support service for the overall life cycle of a store has not been disclosed. A representative prior art in this field is Korean Patent Registration No. 10-469495 (registered Jan. 22, 2005) of Tastech Co., Ltd., one of the applicants of the present invention, "Marketing Support Service Method Using Geographic Information." However, in this invention, as mentioned above, the store strategy support service for the overall life cycle of the store has not been disclosed.

In such a conventional technology, geographic information is used to find promising locations, analyze the feasibility and business feasibility of branch candidates, or analyze basic store statistics, customer analysis, or sales through the management of the store status of a particular store and the analysis of ownership rights or arbitrary areas. There was a difficulty in supporting the overall contents of the store strategy, such as supporting marketing or comparing and analyzing the characteristics among the stores.

An object of the present invention is to provide a store strategy support method as a technology invented to solve the problems of the prior art described above.

Other objects and advantages of the present invention will become more apparent from the following detailed description of the invention and the accompanying drawings.

Preferred embodiments of the means for solving the problems of the present invention are as described in the claims.

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As described in detail above, the present invention combines store information, customer information, and various statistical information with geographic information to increase work efficiency by systematically and scientifically supporting a series of store strategy processes from store opening to post management / analysis. There is an effect that can increase the competitiveness and performance of the company.

Hereinafter, the configuration and operation principle of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing a store strategy support service system to which the present invention is applied. As shown in FIG. 1, an address refining module 200 for standardizing / standardizing data information 200-1 and address information integrating internal data 300 provided by a customer and external data 400 provided by a support company. -3) and the server 200 including the coordinate matching module 200-5 which gives the coordinates to the refined address and the end user PC / PDA 100 that receives data provided by the customer or support company through the Internet. It is composed. The internal data 300 includes store information, competition point information, customer information, company information, small business information, user information, etc., and the external data 400 includes topographic maps, administrative district maps, apartment data, condominium data, and population. / Business / lifestyle statistics. The end user 100 accesses the Internet using a PC / PDA and then moves to a site provided by a headquarter or a branch of a service provider who services the contents of the present invention and logs in to receive a service provided by the service provider.

Referring to the operation of the store strategy support system configured as shown in Figure 1 as follows. 2 is a flowchart showing a method for supporting a store strategy using geographic information according to the present invention.

As shown in FIG. 2, first, the end user 100 accesses and logs in to a server 200 that provides a store strategy support site by using a computer or a PDA (S101).

At this time, the server 200 determines whether the connected user is an authenticated user (S103).

As a result of the determination in step S103, if the end user 100 is an authenticated user, the menu setting (S105) according to the authority is checked, and then the main screen (S107) web browser window in which the authority is set is displayed, and if the end user 100 ) Is not an authenticated user.

In the main screen (S107), the server 200 checks whether the store status can be viewed through the user's computer, the basic investment information, fixed investment information, sales performance, store account book, comparison by store, and store execution status. It is determined (S109).

If the store status is clicked as a result of the determination in S109, the server 200 transmits a web browser window for executing the information retrieval routine for the store status to the user's computer screen (S111).

If the shop status is not clicked as a result of the determination in S109, the server 200 analyzes the results of the shop-owner's rights or random areas through a user computer, basic statistical analysis, own shop customer analysis, current customer analysis, apartment analysis, It is determined whether the shopkeeper analysis that allows the analysis of the company / small business and the competition status is clicked (S113).

If the shopkeeper analysis is clicked as a result of the determination of S113, the server 200 transmits a web browser window for executing the information retrieval routine for the shopkeeper analysis to the user's computer screen (S115).

If, as a result of the determination in S113, the store analysis is not clicked, the server 200 analyzes the white space of the branch candidate site through the user computer, (re) development information management, candidate site management, feasibility analysis, and sales assets (profit and loss). The candidate site analysis for predicting, analyzing basic statistics and analyzing the customer is clicked (S117).

If the candidate site analysis is clicked on as a result of the determination of S117, the server 200 transmits a web browser window to execute an information search routine for candidate site analysis to the user's computer screen (S119).

If, as a result of the determination in S117, the candidate site analysis is not clicked, the server 200 extracts a relocation target through the user computer, analyzes the prospective customer, establishes a new store review, reviews a closed store, reviews a previous store, and establishes a new store BEP ( Break-even point (break-even point) It is determined whether a store review capable of executing a review is clicked (S121).

If the store review is clicked on as a result of the determination in S121, the server 200 transmits a web browser window for executing an information search routine for the store review to the user's computer screen (S123).

If the store review is not clicked as a result of the determination of S121, the server 200 manages a non-stop store, a group company store, a prospective customer, authority management, common code management, unmanned store management, and log management through a user computer. It is determined whether the information management that can manage the information required for operating the system, such as clicked (S125).

If information management is clicked on as a result of the determination in S125, the server 200 transmits a web browser window for executing an information search routine for information management to a user computer screen (S127).

If, as a result of the determination in step S125, information management is not clicked, the server 200 determines whether a map for conveniently utilizing a map screen such as area movement, site search, and store search is clicked on a large screen through a user computer. Determine (S129).

When the map is clicked as a result of the determination in S129, the server 200 transmits a web browser window for executing the information search routine for the map to the user's computer screen (S131).

If the information management is not clicked as a result of the determination in S129, the server 200 transmits a web browser window through which a user can execute step S107.

3 is a diagram illustrating a detailed configuration of a routine of the shop status of FIG. 2.

As shown in FIG. 3, when the user clicks on the shop status, the server 200 displays the basic status of each shop, the shop history, the competition in the shop owner or a random area, the unattended shop status, and the like on a user computer screen. Basic information for inquiring / managing the current store; Fixed investment information for the fixed investment status of each store, the lease status of the branch, the lease status of the competitors in the owner's right or arbitrary area, environmental improvement history, and drawing management; A sales performance that can inquire the sales performance of each store; A store ledger that can inquire a store ledger of a party or another store; Shop comparisons to compare shop specifications or shop performance; Store execution status such as regional store status, store execution status, yearly store variation status, monthly store variation status, etc. in the tabulation table and corresponding store list; Sends a web browser window to run an information retrieval routine.

4 is an exemplary diagram of a web browser window in which a subroutine for the basic information of FIG. 3 is implemented. As shown in Fig. 4, when a user directly enters a store number or selects a specific store searched through a search and clicks an inquiry button, the business group / location / store type / jiro code / branch manager / opening date / number of employees Print the basic status of the selected store, such as / address. In addition, after the establishment of the store, the store history list listing the history of stores such as relocation, promotion, downgrade, parental change, name change, and closure by change date is output.

Here, the number of employees that the user can inquire in detail the current employee status; Store appearance photo management to view, add, modify, and delete the appearance photos of the store; Related document management to manage documents related to the store; A map view of the location of the store on the map; If you click button, you can output each result screen as shown in Fig. 5 to inquire / manage the basic status details of the corresponding store, and click the Add history / Edit history / Delete history button to see the history of the store. You can manage the status of the store by clicking Add / Edit Status / Delete Store. FIG. 5 shows a web browser window when a person details, store photo management, related document management, and map view button are clicked in FIG. 4, and FIG. It shows the map screen web browser window of the competition status in the area.

When the competition point status is clicked on in FIG. 4, as shown in FIG. 6, a result screen listing a list of competition points in a store owner's right or an arbitrary area of the corresponding store can be inquired, where the owner's right is the first shop owner / second car. Shopkeepers can be selected, and arbitrary areas are temporarily set by the user in a specific administrative area; A specific radius based on that store; Random polygons; By setting up, you can analyze / inquire the status of competitive points included in the area in real time.

FIG. 7 shows a web browser window when the unattended store status tab is clicked and the store issue tab is clicked in FIG. When clicking on the unmanned store status or store issue in FIG. 4, as shown in FIG. 7, the unmanned store state managed by the corresponding store can be inquired / managed to analyze the profitability of the unmanned store, and the store issue can be viewed / managed. In this way, the store's current issues can be shared with each other.

FIG. 8 is an example diagram of a web browser window in which a subroutine for the fixed investment information of FIG. 3 is implemented. As shown in FIG. 8, when a user selects a specific store searched by directly entering or searching a store number and clicking an inquiry button, owning / lease, number of floors used, total area, exclusive area, acquisition date, acquisition amount, The fixed investment status of the selected store, such as lease date, lease deposit, monthly rent, and yearly tax, is printed. In addition, it outputs the rental status of the branch listing the detailed status of the rental status of the store.

Here, when the user clicks the floor detail button, the floor area information of the corresponding branch may be inquired in detail.

FIG. 9 shows a map screen web browser window for when the competition point status tab is clicked on and when the competition point status is clicked on in FIG. In FIG. 8, when the competition point lease status or environmental improvement history or drawing management is clicked, as shown in FIG. 9, the lease status of competition points in the shop owner's right or arbitrary area of the corresponding store may be compared and analyzed. You can inquire / manage the drawings (cad files) of the branch. In particular, when the cad file is selected in the environment improvement history and drawing management, the map screen for searching the cad file is displayed.

FIG. 10 is an exemplary view of a web browser window implementing the routine subroutine for the business performance of FIG. 3. As shown in FIG. 10, when a user directly enters a store number or selects a specific store searched through a search and clicks an inquiry button, the performance of a corresponding store can be inquired as time series information. If you click it, you can easily analyze the trend change of the performance by chart, and if you click the Excel button, you can download the searched result as an Excel file.

11 and 12 are exemplary diagrams of a web browser window implementing subroutines for the store book of FIG. 3. As shown in FIG. 11, when a user directly enters a store number or selects a specific store searched through a search and clicks an inquiry button, the basic state, fixed investment state, and recent performance state of the store can be checked at a glance. It prints out the current store book, which allows the user to directly print the query results by clicking the print button.

As shown in Figure 12, when the user selects the bank name / metropolitan city / city / district / store name, and outputs the other store ledger that can query the basic status, fixed investment status, performance status of the specific other stores, where Click the Print button to directly print the query results.

13 and 14 are exemplary diagrams of a web browser window implementing subroutines for comparison of stores of FIG. 3. As shown in FIG. 13, when a user selects an administrative area, store attributes, and various dates, and clicks an inquiry button, a list of stores meeting the corresponding conditions is output, and when an Excel button is clicked, the output result is an Excel file. When the map button is clicked, a map screen displaying the output location of the store is displayed. When a specific store is clicked, the map is moved to the location of the corresponding store.

As shown in FIG. 14, when a user selects an administrative area, store attributes, performance classification, and various dates, and clicks an inquiry button, a list of stores meeting the corresponding conditions is output, and when an Excel button is clicked, the output result is displayed. It can be downloaded as an Excel file, and if you click the map button, a map screen showing the location of the output store appears, and if you click a specific store, the map moves to the location of the store.

15 and 16 are exemplary diagrams of a web browser window in which a subroutine of the store execution status of FIG. 3 is implemented. As shown in FIG. 15, when a user selects a reference date and clicks an inquiry button, the status of stores by region of the corresponding date is counted by unit of metropolitan city, and when a specific metropolitan city name is clicked, the city and district within the metropolitan city is shown. The store status of the unit is displayed in aggregate. Clicking on the name of a specific city and county will output a list of stores in the corresponding city and county, and clicking the print button will print the result directly.

As shown in FIG. 16, when the user selects the standard date and the location / business group option and clicks the inquiry button, the new / closed / promotion / downgrade status by region or business group is compared to the end of the previous year based on the corresponding date. Store execution status that can be inquired in form; Year-to-year store fluctuations to show year-by-year fluctuations; Monthly store changes to look up monthly changes in a particular year; If the print button is clicked, the search result can be printed directly, and if the click the Excel button, the search result can be downloaded to Excel.

FIG. 17 is a diagram illustrating a detailed configuration of the storekeeper analysis routine of FIG. 2. As shown in FIG. 17, when the user clicks on the storekeeper analysis, the server 200 includes a point analysis result which can inquire the result of the analysis of the store quality of the store owner of each store on a user computer screen; Basic statistics analysis summary for basic statistics analysis summary, demographic details, business statistics details, lifestyle details, corporate count results, small business result counts; An autonomous customer analysis that analyzes own customers in the owner's right or arbitrary area and analyzes the in / outside weight of the store owner, customer distribution and list, distribution status by customer grade, and customer analysis by region; Analysis of the current customer in the store owner or arbitrary area by analyzing the current distribution of customers by point, distribution status by customer grade, customer analysis by region; Apartment analysis to analyze the status of apartment complexes in the owner's right or arbitrary area and the customers and transactions in the apartment complexes; An enterprise / small business enterprise analysis unit capable of analyzing a business enterprise and a small business person in an owner's right or an arbitrary area; Sends a web browser window to execute an information retrieval routine for competitive status analysis that can analyze the performance and store list of competitors in the owner's rights or arbitrary areas.

FIG. 18 is an embodiment of a web browser window in which a subroutine for the viscosity analysis result of FIG. 17 is implemented. As shown in FIG. 18, when a user directly enters a store number or selects a specific store searched through a search and clicks an inquiry button, the location type analysis result analyzed based on the primary store owner of the corresponding store. And output analysis results of the main variables used to determine the location type. If you click the Excel button, you can download the searched result as an Excel file, and if you click the Modify Owner's Rights button, you can download the primary and secondary owner's rights of the store by the administrative area and the specific radius. Unit / User can modify / manage each arbitrary area that can set an arbitrary polygonal area, and when changing and storing the occupancy right, the point analysis result screen is output through real time occupancy right analysis.

FIG. 19 illustrates an example of a web browser window in which a subroutine for basic statistical analysis of FIG. 17 is implemented. As shown in FIG. 19, when a user selects a specific store searched by directly inputting or searching a store number, selects a store owner or a random area, and clicks an inquiry button, demographics / business statistics / life for the corresponding area. Summary summarizing the analysis results of various basic statistics such as style statistics in time series by year; Demographic breakdown by year of population, income, and age group; Business statistics by year by year, by number of businesses and number of employees; Lifestyle statistics by year by year, by population type, population, education expenditure, etc. by occupation type; The total number of companies that can analyze the number of companies / total sales / total loan amount / bank loan amount by sales size by company size; Small business aggregates that can analyze the number of small business and the amount of sales by sales size by industry type; You can search. Clicking on the chart allows the search to be analyzed in the chart, and clicking on the Excel allows the search to be downloaded to Excel.

20, 21, 22, and 23 are exemplary diagrams of a web browser window implementing subroutines for the own shop customer (customer belonging to the corresponding branch) of FIG. 17. As shown in FIG. 20, a user selects a specific store searched by directly entering or searching a store number, and is based on performance date / customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / management If you select the point classification (main control point basis, account control point basis) / balance balance balance, the results of analyzing the results of the own customers and the non-store owners in the first and second stores. Click the Print button to print the inquiry results directly. Click the Excel button to download the query results in Excel. Click the View map button to print the set shop owner's ticket on the map screen. .

As shown in Fig. 21, a user enters a store number directly or selects a specific store searched through a search and divides the performance (total receipts + total loans, total receptions, total loans, etc.) Customer classification (all customers, individual customers, corporate customers, SOHO customers, PB (Private Banking) customers / management point classification (main control point, account control point) / address classification (full address, home address, work address, etc.) If you select and set the store manager or arbitrary area, you can analyze the share of the own shop customer and the customer list corresponding to the selected condition, and click the Excel button to download the searched customer list to Excel and view the map. If you click button, customer distribution status is printed on map screen, especially customer distribution status is expressed by changing symbol size based on the number of customers to check the density of customers.

As shown in FIG. 22, the user selects a specific store searched by directly inputting or finding a point number, and divides the performance (total receipt + total loan, total reception, total loan, etc.) / balance of balance If you select a grade classification / address classification (full address, home address, work address, etc.) and set up a store owner or a random area, you can analyze the own store customers corresponding to the selected conditions, aggregate the number and performance of each customer grade, and output each share. do. Click the Print button to print the inquiry results directly. Click the Excel button to download the query results in Excel. Click the Map View button to print the customer distribution on the map screen. If you click the number of customers in the table, you will get a list of customers that meet the criteria.

As shown in FIG. 23, a user selects a specific store searched by directly inputting or searching a store number, and divides the performance (total receipt + total loan, total reception, total loan, etc.) / balance balance balance / amount of money / Select customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / management point classification (based on the main control point, account control point) / address classification (home address, work address, etc.) If you select, it analyzes the Own shop customers in the selected administrative area and outputs the number of customers and the performance counting status by each administrative building. If you click the Excel button, you can download the above search results in Excel.If you click the map view button, you can print the theme map for each administrative division on the map screen. Output

24, 25, and 26 are exemplary diagrams of a web browser window in which a subroutine for analyzing the customer (all bank customers) of FIG. 17 is implemented. As shown in FIG. 24, the user selects a specific store searched by directly inputting or finding a store number, and divides performance (total receipts + total loans, total receipts, total loans, etc.) / balance of balance / amount of money / Select the customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / management point classification (based on the main control point, account control point) / address classification (full address, home address, work address, etc.) When the store owner or the arbitrary area is set, the number of customers by point and the results of the performance analysis are output. If you click the print button, you can print the searched results directly.If you click the Excel button, you can download the searched results to Excel.If you click the map view, the set store ticket is printed on the map screen. do.

As shown in FIG. 25, a user selects a specific store searched by directly inputting or searching a store number, and divides the performance (total receipt + total loan, total reception, total loan, etc.) / balance of balance If you select customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / grade classification / address classification (full address, home address, work address, etc.) Analyze the customer, and count the number of customers by customer grade and performance, and output each share. If you click the print button, you can print the inquiry result directly.If you click the Excel button, you can download the inquiry result in Excel.If you click the map view button, the area is divided into regular grids. Outputs a map screen to analyze.

As shown in FIG. 26, the user selects a specific store searched by directly entering or searching a store number, and divides the performance (total receipts + total loans, total receipts, total loans, etc.) / balance of balance / amount of money / If you select the customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / address classification (home address, work address, etc.) and select the administrative district unit, the executives in the selected administrative district are analyzed and Outputs the number of customers and the performance summary. If you click the Excel button, you can download the above search results in Excel.If you click the map view button, you can print the theme map for each administrative division on the map screen. Output

27 and 28 are exemplary diagrams of a web browser window in which a subroutine for the apartment analysis of FIG. 17 is implemented. As shown in FIG. 27, when a user selects a specific store searched by directly inputting a store number or searching, inputs a number of households / equilibrium / quote conditions and sets a store owner or an arbitrary area, the apartment complex corresponding to the selected condition and List the current state of development complexes. In this case, clicking the Excel button may download the query result as an Excel file. When the name of the complex is clicked, a screen for analyzing the map screen of the selected complex and the transaction status of the complex is output as shown in FIG. 28.

As shown in FIG. 28, when a particular apartment building is selected on the map screen, the entire house, customer distribution status, and customer list of the corresponding agreement are output. Here, you can re-analyze by selecting the conditions of performance classification (total receipt + total loan, total receipt, total loan, etc.) / balance balance balance / amount of money / control point classification (main control point basis, account control point basis). In addition, if you click on the total number of customers in the transaction status, the total list of customers in the complex is inquired. The customer distribution status is divided into Own Customers, RBI Customers, No Control Points, Unconditional / Non-Customers, and click the Excel button. You can download the corresponding customer list in Excel.

29 and 30 are exemplary diagrams of web browser windows implementing subroutines for the enterprise / small business analysis of FIG. 17. As shown in FIG. 29, when a user selects a specific store searched by directly inputting or searching a store number, enters a company size classification, a company disclosure classification, and a sales condition, and sets a store owner or an arbitrary area, Print a list of companies. If you click the Excel button, you can download the searched result in Excel.If you click the map view button, the distribution status of the searched companies will appear and if you click on the company name in the list of companies, the location of the company will be enlarged on the map screen. Is displayed.

As shown in FIG. 30, when a user selects a specific store searched by directly entering or searching a store number, inputs a sales condition, and sets a store owner or an arbitrary area, a list of small businesses corresponding to the selected condition is output. . If you click the Excel button, you can download the searched result in Excel.If you click the map view button, the distribution status of the searched companies appears and if you click on the business name in the business list, the location of the business is enlarged on the map screen. Is displayed.

FIG. 31 illustrates an example of a web browser window in which a subroutine for competition analysis of FIG. 17 is implemented. As shown in FIG. 31, a user selects a specific store searched by directly entering or searching a store number, and the period of performance, performance, and balance balance (total received balance, total received balance, total loan balance, total loan). If you select a common balance, etc., and set up a store owner or an arbitrary area, it analyzes the current state of competitors corresponding to the selected conditions and outputs the aggregate count, share, and individual store list by bank. Clicking the chart button outputs the inquired content as a chart, and clicking the Excel button downloads the inquired result in Excel. Selecting a store name from the store list displays the location of the corresponding store enlarged. Appears.

FIG. 32 is a diagram illustrating a detailed configuration of a routine for selecting candidate site analysis of FIG. 2. As shown in FIG. 32, when a user clicks on candidate site analysis, the server 200 includes: a white space analysis unit capable of analyzing promising candidates of an individual store or a mini store on a user computer screen; (Re) development information management to inquire / manage development information; Candidate site management for adding, modifying, or deleting candidate sites or confirming specifications of candidate sites; A feasibility analysis to analyze the basic status of a particular candidate site, the potential of Yeosu Shin, details of store performance, store lease detail, and store growth rate; Predicting operating assets (profit and loss) for which primary and profit estimates, fixed cost inputs and secondary profit and loss estimates can be made as a result of the variance analysis of a specific candidate site; Basic statistical analysis of basic statistics analysis summary, demographic details, business statistics details, lifestyle details, business counting results, small business counting results, and apartment analysis; Analyzing the entire customers in the owner's right or arbitrary area to analyze the distribution status by point, distribution status by customer grade and customer analysis by region; Sends a web browser window to run an information retrieval routine.

33 and 34 are exemplary diagrams of a web browser window implementing a subroutine for the white space of FIG. 32. As shown in FIG. 33, when a user selects a metropolitan city / city-gun administrative district, selects a location type classification / grade classification / existing store presence, and clicks an inquiry button, the prospective business zone and schedule grid unit corresponding to the conditions are provided. Outputs prospective location analysis results analyzed by.

As shown in FIG. 34, when the user selects the metropolitan city / city / gun / gu administrative region, selects the number of households / equilibrium / development schedule, and clicks an inquiry button, a list of apartment complexes corresponding to the condition is output. If you click the Excel button, the inquiry result is downloaded to Excel, and if the map view button is clicked, the distribution status of the current store in the relevant administrative area and the inquired apartment complex is output on the map screen.

FIG. 35 is an example diagram of a web browser window in which a subroutine for (re) development information management of FIG. 32 is implemented. As shown in FIG. 35, when a user selects a metropolitan city / si-gun administrative district, selects an information type (apartment development, redevelopment, reconstruction, etc.) / Scheduled date and clicks an inquiry button, a list of development information in the region is output. do. If you click the Excel button, you can download the searched result as Excel, select specific development information from the inquired list, or click the Add development information button to search the details of the specific development information or input the development information. can do. In addition, if there is an image file corresponding to specific development information, the image file can be added / modified / deleted.

36, 37, and 38 are exemplary diagrams of a web browser window in which a subroutine for candidate site management of FIG. 32 is implemented. As shown in FIG. 36, when a user inputs detailed information and location information of a new branch candidate site and clicks a save button, a new candidate site is added.

As shown in FIG. 37, when a user directly inputs a candidate number or selects a specific candidate searched through a search, and clicks an inquiry button, detailed information of registered candidates is inquired, and the modified contents can be modified / managed. Make sure Click the Save button to save the modified information, and click the Delete button to delete the candidate site.

As shown in FIG. 38, when a user selects an administrative district, candidate persistence, and opening date, and clicks an inquiry button, a list of candidate sites that meet the conditions is output, and when an Excel button is clicked, the output result is an Excel file. When the map button is clicked, a map screen displaying the output position of the candidate site is displayed. When the name of a specific candidate site is clicked, the map is expanded to the position of the candidate site.

39, 40, 41, 42, and 43 are exemplary views of a web browser window in which a subroutine for validity analysis of FIG. 32 is implemented. As shown in FIG. 39, when a user directly inputs a candidate site number or selects a specific candidate site searched through a search and clicks an inquiry button, the basic status of registered candidate sites is output. Click the Excel button to download the output as an Excel file. Click the Modify Owner's Rights button to modify / buy the owner's right of the store. Candidate analysis reports covering the basic status, feasibility analysis and operating asset (profit and loss) forecasts can be printed directly.

In FIG. 39, when the user clicks the receiving / receiving potential tab, as shown in FIG. 40, the receiving / receiving potential of the candidate site is analyzed by analyzing the performance of the sugar / traditional store in the first and second store owners of the candidate site. .

In FIG. 39, when the user clicks the store performance detail tab, as shown in FIG. 41, the list of sugar and non-peculiar stores in the first and second store owners of the candidate site and the performance detail are output.

In FIG. 39, when the user clicks the store lease detail tab, as shown in FIG. 42, the party / department store list and lease details in the first and second store owners of the candidate site are output.

When the user clicks on the store growth rate tab in FIG. 39, as shown in FIG. 43, the amount of business and the number of households / households / apartment households / population / businesses for the competition score / total receiving / total loans in the second-order store of the candidate site The results of the shopkeeper growth rate analysis on the external environment such as the number of workers and the number of workers are printed.

44, 45, 46, and 47 are exemplary diagrams of web browser windows that implement subroutines for the business asset (profit and loss) forecast of FIG. 32. As shown in FIG. 44, when a user selects a specific candidate site searched by directly entering or searching for a candidate site number, and clicks an inquiry button, the location type analysis result and location analyzed based on the primary store owner of the registered candidate site Outputs the analysis of the key variables used to determine the type. In this case, if the analysis result of the main variables is different from the present phenomenon, if the user directly corrects / stores by clicking the application value correction and recalculation button, it is recalculated based on the user input value.

In FIG. 44, when the user clicks on the first profit and loss estimation tab, as shown in FIG. 45, the first and second profit and loss estimation results are extracted by extracting the stores most similar to the results of the viscosity analysis of the existing stores based on the results of the candidate analysis. Outputs Here, the first profit and loss estimation is to extract similar stores considering only the external environment, and very different stores can be deleted from the list of similar stores by clicking the delete button at the user's or expert's discretion, and click the Add similar stores button. You can add similar stores arbitrarily.

In FIG. 44, when the user clicks the fixed cost input tab, as shown in FIG. 46, after inputting or modifying fixed costs such as the rental status, facility and equipment application rate, labor cost, and computer / office equipment of the candidate site, the correction is made. If you click the and recalculation button, the fixed cost and the second profit and loss estimation result of the candidate will be recalculated using the entered fixed cost.

In FIG. 44, when the user clicks the second profit and loss estimation tab, as shown in FIG. 47, the most similar stores are extracted from the similar stores extracted from the first profit and loss estimation, including the fixed cost (internal information). Similar to profit and loss estimation, similar stores can be added / deleted at the discretion of the user or expert. The final operating assets (profit and loss) and B.E.P are calculated and output based on the results of the finally confirmed similar stores.

FIG. 48 illustrates an example of a web browser window in which a subroutine for the basic statistical analysis of FIG. 32 is implemented. As shown in FIG. 48, when a user directly inputs a candidate site number or selects a specific candidate site searched through a search, selects a store owner or a random area, and clicks an inquiry button, demographics / business statistics / life for the corresponding area. Summary of analysis of basic statistics such as style statistics in time series by year; Demographic breakdown by year of population, income, and age group; Business statistics by year by year, by number of businesses and number of employees; Lifestyle statistics by year by year, by population type, population, education expenditure, etc. by occupation type; The total number of companies that can analyze the number of companies / total sales / total loan amount / bank loan amount by sales size by company size; Small business aggregate counting which can analyze the number of small business and the amount of sales by sales size by industry type; Analysis of apartments, which can analyze the list of apartment complexes and planned developments and the transaction results of our customers in a specific complex; You can run Clicking on the chart allows analysis of the inquiry contents in a chart, and clicking on Excel allows downloading of the inquiry contents in Excel.

FIG. 49 illustrates an example of a web browser window in which a subroutine for analyzing the current customer (all bank customers) of FIG. 32 is implemented. As shown in FIG. 49, the user selects a specific candidate site searched by directly entering or searching for a candidate site number, and the performance classification (total receipt + total loan, total reception, total loan, etc.) / balance balance balance / amount of money / Select the customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / management point classification (based on the main control point, account control point) / address classification (full address, home address, work address, etc.) When the store owner or the arbitrary area is set, the number of customers by point and the results of the performance analysis are output. If you click the print button, you can print the inquiry result directly.If you click the Excel button, you can download the inquiry result to Excel, and if you click the map view, the set store ticket is displayed on the map screen. do.

In FIG. 49, when the user clicks the analysis tab by customer grade, the user selects a specific store searched by directly entering or finding a candidate number, and the performance classification (total receipt + total loan, total receipt, total loan, etc.) / Balance If you select average balance / value range / customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / grade classification / address classification (full address, home address, work address, etc.) In addition, by analyzing the customers in the selected conditions, the number of customers by customer grade and performance are counted, and each share is output. If you click the print button, you can print the inquiry result directly.If you click the Excel button, you can download the inquiry result in Excel.If you click the map view button, the area is divided into regular grids. Outputs a map screen that can be analyzed.

In FIG. 49, when the user clicks the regional customer analysis tab, the user selects a specific store searched by directly entering or searching for a candidate number, and the performance classification (total receipt + total loan, total receipt, total loan, etc.) / Balance balance If you select Category / Amount / Customer Classification (All Customers, Individual Customers, Corporate Customers, Lo-Customers, PB Customers) / Address Classification (Home Address, Work Address, etc.) Analyze and print out the total number of customers and performance by administrative unit. If you click the Excel button, you can download the above search results in Excel.If you click the map view button, you can print the theme map for each administrative division on the map screen. do.

FIG. 50 is a diagram illustrating a routine for selecting a store review of FIG. 2. As shown in FIG. 50, when the user clicks on a store review, the server 200 extracts a relocation target to extract an object to be considered for relocation from existing stores on a user computer screen; A breakaway customer analysis that simulates a breakaway customer when a particular store is closed; A new store review to compare and analyze the performance of the new store; A consolidation point review to compare and analyze the results before and after consolidation of the consolidation point; A previous store review for comparing and analyzing the performance before / after the previous store; New store's B.E.P. New store BEP review which can compare and analyze achievement rate; Sends a web browser window to run an information retrieval routine.

FIG. 51 illustrates an example of a web browser window in which a subroutine for extracting a retargeting object of FIG. 50 is implemented. As shown in FIG. 51, when a user selects a performance reference month, selects a set value for a business group, balance balance, standardized index value, minimum value, and maximum value, and clicks an inquiry button, the corresponding personnel efficiency and cost efficiency The list of stores is sorted by the comprehensive index based on the total asset index and the operating profit index. Click the Excel button to receive the search results in Excel. If you select a store name from the list, a chart of the corresponding store appears, and if you click a serial number, a map screen in which the location of the corresponding store is enlarged appears.

FIG. 52 illustrates an example of a web browser window in which a subroutine for the prospective customer analysis of FIG. 50 is implemented. As shown in Fig. 52, after the user directly inputs a point number or selects a specific store searched through a search, the performance classification (total receipts + total loans, total receptions, total loans, etc.) Select the customer classification (all customers, individual customers, corporate customers, SOHO customers, PB customers) / management point classification (based on the main control point, account control point) / address classification (full address, home address, work address, etc.) When the inquiry button is clicked, if the customer who meets the selected condition among the customers of the corresponding store is closed, it analyzes and outputs whether it is in the first store owner, the second store owner or outside the store owner of the current RBI. Clicking the Excel button here will download the query results to Excel.

FIG. 53 illustrates an example of a web browser window in which a subroutine for the newly-stored review of FIG. 50 is implemented. As shown in FIG. 53, when selecting a metropolitan view, a new reference year, a business group, a performance classification, and a balance balance balance, and then clicking an inquiry button, a time series output of monthly performances after the opening date with a list of new stores corresponding to the corresponding conditions is shown. do. If you click the Excel button, the search result is downloaded to Excel. If you select a store name from the list, a chart of the corresponding store appears, and if you click a serial number, a map screen in which the location of the corresponding store is expanded appears.

FIG. 54 illustrates an example of a web browser window in which a subroutine for the merged and closed reviews of FIG. 50 is implemented. As shown in FIG. 54, if you select the Metropolitan City Trial, Consolidated Base Year, Business Group, Performance Classification, and Balance Balance, and then click the Inquiry button, the monthly results will be displayed from the month before the merger with the list of the merged and merged points corresponding to the relevant conditions. Output Click the Excel button to receive the search results in Excel. If you select a store name from the list, a chart of the corresponding store appears, and if you click a serial number, a map screen in which the location of the corresponding store is enlarged appears.

FIG. 55 illustrates an example of a web browser window in which a subroutine for the previous review of FIG. 50 is implemented. As shown in FIG. 55, if you select the metropolitan view, the previous reference year, the business group, the performance classification, and the balance balance, and then click the inquiry button, the monthly results are displayed from the previous month with the list of transfer stores corresponding to the conditions. Output If you click the Excel button, the search result is downloaded to Excel. If you select a store name from the list, a chart of the corresponding store appears, and if you click a serial number, a map screen in which the location of the corresponding store is expanded appears.

FIG. 56 illustrates an example of a web browser window in which a subroutine for the newly formed BEP review of FIG. 50 is implemented. As shown in FIG. 56, when selecting a metropolitan view, a new reference year, a business group, and clicking an inquiry button, a BEP profit and loss period and a BEP reaching period are output along with a list of new stores corresponding to the corresponding conditions. Click the Excel button to receive the search results in Excel. If you select a store name from the list, a chart of the corresponding store appears, and if you click a serial number, a map screen in which the location of the corresponding store is enlarged appears.

FIG. 57 is a diagram showing the detailed configuration of a routine for selecting information management of FIG. As shown in FIG. 57, when the user clicks on information management, the server 200 includes a third-party store management to add / modify / delete the other store to the user computer screen; Group company store management for adding / modifying / deleting group company stores; Prospective customer management capable of analyzing in real time data having an address among unspecified prospective customer information; Rights management to perform rights group and departmental rights management; Common code management for managing common codes used in the system; An unmanned store management capable of collectively updating an unmanned store list; Log management to manage the usage log and internal data 300 batch batch; Sends a web browser window to run an information retrieval routine.

FIG. 58 illustrates an example of a web browser window in which the subroutine for the other store management of FIG. 57 is implemented. As shown in FIG. 58, the user inputs basic attribute information such as bank name, store name, giro code, address, and location information to add / modify / delete another store.

59 and 60 are diagrams illustrating a routine for managing the prospective customer of FIG. 57. As shown in FIG. 59, when a user clicks an inquiry button, a list of prospective customers registered in advance can be inquired, and an add button is uploaded to an Excel file having an address possessed by the user in real time by clicking an add button. You can add At this time, the server 200 uploads the uploaded Excel file to the data mart 200-1, and then standardizes / standardizes the customer address through the address refinement module 200-3, and coordinates the coordinate matching module 200-5. By assigning coordinates to the list of prospects. Here, when the user clicks the standard Excel download button, it downloads a standard Excel file that can be uploaded.

As shown in FIG. 60, when the user selects a previously registered list of prospects using the find button, the list of prospects added to the list is output along with the results of analyzing the first and second shortest points. Here, when the user clicks the Excel button, the searched result can be downloaded to Excel.If the user clicks the map view button, the distribution status of the searched customer is displayed on the map screen. The location of the customer is enlarged and displayed on the map screen.

FIG. 61 illustrates an example of a web browser window in which a routine for selecting a map of FIG. 2 is implemented. As shown in FIG. 61, when a user clicks on a map, the server 200 includes a map screen which can be conveniently used on a large screen on a user computer screen; Area movement to move the map on an administrative basis; A branch number search for searching for a specific number; A bank store search to search for a specific bank store; Sends a web browser window to run an information retrieval routine.

As illustrated in FIG. 61, when the user checks the list of nearby stores in the branch number search and the bank store search, the list of neighbor stores within a specific radius is output based on the corresponding position.

As such, the present invention may be variously modified and may take various forms, and only the specific embodiments thereof are described in the detailed description of the present invention. It is to be understood, however, that the invention is not limited to the specific forms referred to in the detailed description of the invention, but rather includes all modifications, equivalents and substitutions within the spirit and scope of the invention as defined by the appended claims. It should be understood to do.

This invention can be used in the case of increasing the work efficiency and increasing the competitiveness and performance of the company by systematically and scientifically supporting a series of store strategy from store opening to post-management / analysis. Very high.

1 is a block diagram showing a store strategy support service system to which the present invention is applied.

2 is a flow chart showing a store strategy support service method using geographic information according to the present invention.

3 is a diagram showing the detailed configuration of a routine for the shop status of FIG.

4 is an exemplary diagram of a web browser window in which a subroutine for the basic information of FIG. 3 is implemented.

FIG. 5 is a web browser window when a person details, store photo management, related document management, and map view buttons are clicked in FIG. 4.

FIG. 6 is a map screen web browser window for when a competition point tab is clicked in FIG. 4 and a competition point status in a store and a random area; FIG.

7 is a web browser window for when the unattended store status tab in FIG. 4 and when the store status tab is clicked.

8 is a web browser window for the fixed investment information of FIG.

FIG. 9 is a map screen web browser window for when a competition point status is clicked in a competition point status, an environment improvement history, and a drawing management tab in FIG.

10 is a web browser window for the sales results of FIG.

Figure 11 is a web browser window for the store manager of the store book of Figure 3;

FIG. 12 is a web browser window for another store leader of the store book of FIG. 3;

FIG. 13 is a web browser window for a detailed description of stores in FIG.

FIG. 14 is a web browser window for performance of stores in comparison among stores of FIG. 3; FIG.

FIG. 15 is a web browser window for shop status by region in the shop execution status of FIG. 3; FIG.

FIG. 16 is a web browser window for a store execution status tab and a change in store status by year among the store execution status of FIG. 3; FIG.

FIG. 17 is a diagram showing a routine for the point analysis of FIG. 2; FIG.

18 is a web browser window for the result of the viscosity analysis of FIG.

19 is a web browser window for summary analysis of the basic statistical analysis of FIG.

FIG. 20 is a web browser window for in-store / out-of-store weight of own shop customer analysis of FIG. 17;

FIG. 21 is a web browser window for a customer distribution diagram during the own customer analysis of FIG. 17; FIG.

FIG. 22 is a web browser window for analysis by customer grade in the own shop customer analysis of FIG. 17; FIG.

Figure 23 is a web browser window for customer analysis by region of the own customer analysis of Figure 17.

Figure 24 is a web browser window for point-by-point analysis of the customer analysis of Figure 17.

FIG. 25 is a web browser window for analysis of customer ratings among analysis customers of FIG.

FIG. 26 is a web browser window for customer analysis by region in the customer analysis of FIG. 17; FIG.

FIG. 27 is a web browser window for apartment analysis of FIG. 17; FIG.

28 is a web browser window for the apartment transaction status of the apartment analysis of FIG.

29 is a web browser window for the analysis of the enterprise of the enterprise / small business analysis of FIG.

30 is a web browser window for small business analysis of the business / small business analysis of Figure 17;

FIG. 31 is a web browser window for competitive analysis of FIG. 17; FIG.

32 is a diagram showing a routine for candidate site analysis of FIG. 2;

33 is a web browser window for a personal store in White Space of FIG.

34 is a web browser window for a mini store in the White Space of FIG.

35 is a web browser window for (re) development information management in FIG.

36 is a web browser window for adding candidate sites during candidate site management in FIG. 32;

FIG. 37 is a web browser window for candidate index modification of candidate site management in FIG. 32; FIG.

FIG. 38 is a web browser window for candidate specification of candidate site management in FIG. 32; FIG.

39 is a web browser window for the basic status of candidate sites in the feasibility analysis of FIG. 32;

FIG. 40 is a web browser window for female / receive potential during feasibility analysis of FIG. 32; FIG.

Fig. 41 is a web browser window for store performance details of the feasibility analysis of Fig. 32;

42 is a web browser window for the owner lease details of the feasibility analysis of FIG.

FIG. 43 is a web browser window for shop owner growth rate in the feasibility analysis of FIG. 32; FIG.

FIG. 44 is a web browser window for the results of the viscosity analysis of the operating assets (profit and loss) forecast of FIG. 32;

FIG. 45 is a web browser window for the first profit and loss estimation of the operating asset (profit and loss) forecast of FIG. 32;

FIG. 46 is a web browser window for fixed cost input of operating assets (profit and loss) forecast of FIG. 32; FIG.

FIG. 47 is a web browser window for the second profit and loss estimation of the operating asset (profit and loss) forecast of FIG. 32;

48 is a web browser window for summary analysis of the basic statistical analysis of FIG.

FIG. 49 is a web browser window for breakdown analysis in a customer analysis of FIG.

FIG. 50 shows a routine for the store review of FIG. 2; FIG.

FIG. 51 is a web browser window for relocating object extraction of FIG. 50; FIG.

FIG. 52 is a web browser window for the prospective customer analysis of FIG. 50; FIG.

53 is a web browser window for a new store review of FIG. 50;

FIG. 54 is a web browser window for a consolidated point review of FIG. 50; FIG.

Fig. 55 is a web browser window for the previous review of Fig. 50;

Figure 56 is a web browser window for a new store BEP review of Figure 50.

FIG. 57 is a diagram showing a routine for information management of FIG. 2; FIG.

FIG. 58 is a web browser window for modifying / deleting a third party store in another party store management of FIG. 57; FIG.

FIG. 59 is a web browser window for managing and adding a list of prospects among the prospects management of FIG. 57; FIG.

FIG. 60 is a web browser window for prospective customer analysis of prospective customer management in FIG. 57; FIG.

Fig. 61 is a web browser window for the map of Fig. 2;

<Description of the symbols for the main parts of the drawings>

100: User PC (including mobile and PDA)

200: server

200-1: Data Mart

200-3: address purification module

200-5: Coordinate matching module

300: internal data

400: external data

Claims (12)

delete delete A data mart storing internal data including store information and customer information provided by a customer and external data including geographic information provided by a support company; An address refining module for standardizing / standardizing address information; A coordinate matching module for assigning coordinates to the refined address; In a method of supporting a store strategy through a store strategy support system comprising a server for transmitting or updating data of a data mart to a user computer according to a request of a user connected through the Internet, How to support the above store strategy, Checking whether the user accessing the server is an authenticated user; If the check result shows that the user is a normal user, the server can search for information on store strategy support on the user's computer. Store status menu, where you can search the basic information of stores, fixed investment information, sales performance, store ledger, comparison by store, and store execution status. Occupancy analysis results in the owner's right or arbitrary area, basic statistical analysis, own customer analysis, current customer analysis, apartment analysis, corporate / small business analysis, competition analysis analysis menu, White space analysis of branch candidates, (re) development information management, candidate site management, feasibility analysis, operating assets (profit and loss) prediction, basic statistical analysis, candidate customer analysis menu, Store review menu to execute relocation target extraction, analysis of potential customers, new store review, closed store review, previous store review, new store break-even point (BEP) review for existing stores, Information management menu for managing information necessary for system operation such as other store management, group company store management, prospective customer management, authority management, common code management, unmanned store management, log management, Transmitting a main screen on which a map menu is displayed to conveniently use a map screen on a large screen, such as local movement, branch search, and store search; The server sequentially determining which of the menus the user has selected; And The server includes executing a routine corresponding to a menu selected by the user, If the user selects the store status menu among the above menus, the routine to execute is Transmitting, by the server, a screen for selecting one of the basic information, fixed investment information, sales record, store account book, comparison by store, and store execution status to a user computer; Determining, by the server, which item the user has selected; And Including the step of transmitting the result of the subroutine execution corresponding to the item selected by the user to the user computer, If the user selects the basic information item during the execution of the routine corresponding to the store status menu selected by the user, the corresponding subroutine corresponds to Setting a specific store; Querying the basic status of the business group, location, store type, Giro code, branch manager, opening date, number of employees, address, etc. of the store; Inquiring about job titles and job details of the corresponding stores; Inquiring / managing photos of the corresponding stores; Inquiring / managing related documents of the corresponding store; Querying the location of the store on a map screen; Inquiring / managing the store history such as relocation, promotion, downgrade, parent point change, name change, and closure after establishment of the corresponding store; Analyzing the current state of competition points in the established area by setting a shop owner's right and an arbitrary area of the corresponding store; Inquiring / managing the status of corner names, opening dates, ATMs, CDs, transaction counts, administrative fees, fees, etc. of unmanned stores of the corresponding stores; And Including the steps to inquire / manage the current issues of the store, If the user selects a fixed investment information item, the corresponding subroutine corresponds to Setting a specific store; Querying a fixed investment status such as ownership / lease, number of floors used, total area, and dedicated area of the store; Querying the detailed area of each floor of the store; Inquiring / managing the renting status of the corresponding store, such as acquisition date, acquisition amount, lease date, lease deposit, monthly rent, and yearly tax; Analyzing the lease status of competition points in the established area by setting the shop owner's right and an arbitrary area of the corresponding store; Inquiring / managing the environment improvement history of the corresponding store; And Including the step of viewing and managing the drawings (cad files) of the store, If the user selects the branch performance item, the corresponding subroutine is Setting a specific store and balance / flat balance; And Including the steps of querying / chart analysis / Excel output of the store performance by time series unit, If the user selects a store account item, the corresponding subroutine is Setting a specific store of the party or the other party; And It includes the steps of inquiring / printing the basic status, fixed investment status, and sales performance of the store, If the user selects a comparison item by store, the corresponding subroutine corresponds to Selecting conditions such as an administrative district, a business group, a store type, an evaluation group, an opening date, a transfer date, and other adjustment dates; Inquiring / excel outputting the attribute information and performance information of the store meeting the selection condition; And It comprises the step of displaying on the map screen according to the location and properties of the stores, If the user selects the store execution status item, the corresponding subroutine corresponds to Selecting conditions such as reference date, location, business group, etc .; And Method of supporting a store strategy using geographic information, comprising the step of querying / printing / Excel output of the current status of the store and the change status, such as new / closed / promote / downgrade, etc. delete A data mart storing internal data including store information and customer information provided by a customer and external data including geographic information provided by a support company; An address refining module for standardizing / standardizing address information; A coordinate matching module for assigning coordinates to the refined address; In a method of supporting a store strategy through a store strategy support system comprising a server for transmitting or updating data of a data mart to a user computer according to a request of a user connected through the Internet, How to support the above store strategy, Checking whether the user accessing the server is an authenticated user; If the check result shows that the user is a normal user, the server can search for information on store strategy support on the user's computer Store status menu, where you can search the basic information of stores, fixed investment information, sales performance, store ledger, comparison by store, and store execution status. Occupancy analysis results in the owner's right or arbitrary area, basic statistical analysis, own customer analysis, current customer analysis, apartment analysis, corporate / small business analysis, competition analysis analysis menu, White space analysis of branch candidates, (re) development information management, candidate site management, feasibility analysis, operating assets (profit and loss) prediction, basic statistical analysis, candidate customer analysis menu, Store review menu to execute relocation target extraction, analysis of potential customers, new store review, closed store review, previous store review, new store break-even point (BEP) review for existing stores, Information management menu for managing information necessary for system operation such as other store management, group company store management, prospective customer management, authority management, common code management, unmanned store management, log management, Transmitting a main screen on which a map menu is displayed to conveniently use a map screen on a large screen, such as local movement, branch search, and store search; The server sequentially determining which of the menus the user has selected; And The server includes a step of executing a routine corresponding to the menu selected by the user among the above menus, If the user selects the store analysis menu among the above menus, the routine Transmitting, by the server, a screen for selecting one of the results of point analysis, basic statistics analysis, own shop customer analysis, current customer analysis, apartment analysis, enterprise / small business analysis, and competition status analysis; Determining, by the server, which item the user has selected; And Including the step of the server transmitting the result of executing the subroutine corresponding to the selected item among the above items, When the user selects the above point analysis result item during the execution of the routine corresponding to the above point analysis menu, the corresponding subroutine is Setting a specific store; Inquiring / Exceling the location type analysis result analyzed based on the first branch owner of the corresponding branch and the analysis result of the main variables used to determine the location type; And Including the steps of modifying the owner's right and re-analyzing If the user selects the above basic statistical analysis item, the corresponding subroutine is Setting a specific store and store owner or random area; Searching / chart analysis / excel outputting the basic statistical analysis summary results for the corresponding area by time series; Inquiry / chart analysis / Excel output by the time series unit for demographic details such as the number of households, income, population by gender age group for the area; Inquiry / Excel output by the time series unit for the business statistics details, such as the number of businesses and workers by industry for the area; Inquiry / Excel output of the lifestyle statistics, such as the number of households by occupation type, population by educational level, consumption expenditures for the corresponding area by time series unit; Inquiring / Excel outputting an aggregate of companies capable of analyzing the number of companies, the total sales amount, the total loan amount, the loan amount of the loan, etc. by the sales size by the company size for the corresponding area; And It includes the step of inquiring / outputting the small business aggregates that can analyze the number of small businesses and sales amount by sales size by industry for the relevant area, If the user selects the own customer analysis item, the corresponding subroutine is Selecting a specific store, performance base date, customer segment, management branch segment, address segment, performance segment, balance balance, segment, and setting a store owner or an arbitrary region or a specific administrative region; Analyzing / printing / exporting the inside / outside of the first and second store owners to the own shop customers of the store; Analyzing / excelling the market share and the customer list for the own shop customers in the corresponding area and searching the customer distribution map screen; Analyzing / printing / exporting the share by grade for the own shop customers in the corresponding area, and searching the customer list inquiry and the customer distribution map screen; And This includes the steps of analyzing / excelring the Own Customer Customer Status and Performance by each administrative district unit in the region and viewing the map screen of the subject map by administrative district unit. If the user selects the customer analysis item, the corresponding subroutine corresponds to Selecting a specific store, performance base date, customer segment, management branch segment, address segment, performance segment, balance balance, segment, and setting a store owner or an arbitrary region or a specific administrative region; Analyzing / printing / exporting the point-specific market share for all the customers in the area; Analyzing / printing / excelling the share by grade for all the current customers in the corresponding area and searching the customer distribution map screen; And It includes the steps of analyzing / excelling the current status of overall customers and performance status by each administrative district unit in the region and viewing the map screen of the subject map by administrative district unit. If the user selects the apartment analysis item, the corresponding subroutine is Selecting a specific store, the number of households, an equilibrium, a market price, and setting a store owner or an arbitrary area; Querying / excel outputting existing apartment complexes and development planned complexes in the area; If a specific complex is selected from the existing apartment complexes, displaying the location of the complex on a map screen and analyzing the transaction status of the complex; And If you select a specific building on the map screen, and select management point classification, performance classification, balance balance balance, and amount of money condition, the customer distribution status and customer information / performance information / equilibrium and quote information of each issue Including the step of querying / outputting the customer list, If the user selects the enterprise / small business analysis item, the corresponding subroutine is Setting a specific store, company size classification, company disclosure classification, sales amount, store owner or arbitrary area; Inquiring / excel outputting a list of companies having current customer status, distance, basic company information, performance information, etc. for the businesses in the corresponding area, and searching the corporate distribution map screen; And It includes the steps of inquiring / Exporting a list of small business companies with current customer status, distance, basic business information, performance information, etc. for the small business companies in the relevant area, and searching the small business distribution map screen. If the user selects a competition status item, the corresponding subroutine corresponds to Setting a specific store, performance period, performance classification, store owner or arbitrary area; Analyzing / chart analysis / excel output of bank share and performance trend in the corresponding area; And Method of supporting a store strategy using geographic information comprising the step of analyzing / Excel output / map view of the share and performance trends of each point in the area. delete A data mart storing internal data including store information and customer information provided by a customer and external data including geographic information provided by a support company; An address refining module for standardizing / standardizing address information; A coordinate matching module for assigning coordinates to the refined address; In a method of supporting a store strategy through a store strategy support system comprising a server for transmitting or updating data of a data mart to a user computer according to a request of a user connected through the Internet, How to support the above store strategy, Checking whether the user accessing the server is an authenticated user; If the check result shows that the user is a normal user, the server can search for information on store strategy support on the user's computer. Store status menu, where you can search the basic information of stores, fixed investment information, sales performance, store ledger, comparison by store, and store execution status. Occupancy analysis results in the owner's right or arbitrary area, basic statistical analysis, own customer analysis, current customer analysis, apartment analysis, corporate / small business analysis, competition analysis analysis menu, White space analysis of branch candidates, (re) development information management, candidate site management, feasibility analysis, operating assets (profit and loss) prediction, basic statistical analysis, candidate customer analysis menu, Store review menu to execute relocation target extraction, analysis of potential customers, new store review, closed store review, previous store review, new store break-even point (BEP) review for existing stores, Information management menu for managing information necessary for system operation such as other store management, group company store management, prospective customer management, authority management, common code management, unmanned store management, log management, Transmitting a main screen on which a map menu is displayed to conveniently use a map screen on a large screen, such as local movement, branch search, and store search; The server sequentially determining which of the menus the user has selected; And The server includes executing a routine corresponding to a menu selected by the user, If the user selects the candidate analysis menu among the above menus, the corresponding routine is Transmitting, by the server, a screen for selecting one of White Space, (re) development information management, candidate site management, feasibility analysis, operating asset (profit and loss) prediction, basic statistical analysis, and current customer analysis to a user computer; Determining, by the server, which item the user has selected; And This includes the step of the server sending the result of executing the subroutine corresponding to the item selected by the user among the above items, If the user selects the above White Space item, the corresponding subroutine is Setting a specific administrative district, location type, comprehensive rating, and branch office presence; Analyzing a grid-like promising location divided by promising business districts and grades for each administrative store opening in the region; Setting a specific administrative district, number of households, equilibrium, inclusion of development prospectus; And It includes the steps of searching the list of apartments that meet the selected area and conditions and analyzing the current status of the network of the current store and the distribution status of the apartment complex through the map view, and analyzing the prospective area of the apartment type mini store. If the user selects the (re) development information management item, the corresponding subroutine corresponds to Setting a specific administrative district, development information type, and expected occupancy date; Retrieving a list of development information meeting the conditions in the selected region; And Including the steps of managing development information by inputting / modifying basic property information, location information, equilibrium / quote / number of household information, group loan information, etc. If the user selects a candidate site management item, the corresponding subroutine corresponds to Adding candidate sites by inputting basic information of candidate sites, location information, additional information, lease / area information, building information, etc .; Modifying information by selecting a specific registered candidate candidate; And Given the conditions such as administrative district, candidate district, candidate site status, contract status, location type classification, opening date, and the like, the list of candidate sites among the registered candidates is analyzed and the map screen is analyzed. When the user selects a feasibility analysis item, the corresponding subroutine corresponds to Selecting a particular candidate; Querying the basic status of the candidate site; Analyzing the potential for receiving / receiving in the candidate landlord; Analyzing performance details of competitors in the candidate landlord; Analyzing lease details of competitors in the candidate landlord; And Including the steps of analyzing the amount of business in the candidate's ownership and the growth rate of the external environment; If the user selects an operating asset (profit or loss) forecast item, the corresponding subroutine is Selecting a particular candidate; Querying location type and key variable analysis results; Modifying the main variable item by the user; Extracting similar stores considering only external environment to estimate first profit and loss; Inputting a fixed cost such as rental status / facility and household cost / labor cost as an internal environment variable; Estimating the second profit or loss by extracting the final similar store in consideration of the result of the first profit and loss estimation and the internal environmental variables; And And printing an analysis report incorporating the validity analysis contents and the profit and loss prediction contents. If the user selects a basic statistical analysis item, the corresponding subroutine is Setting a specific candidate site and store owner or random area; Searching / chart analysis / excel outputting the basic statistical analysis summary results for the corresponding area by time series; Inquiry / chart analysis / Excel output by the time series unit for demographic details such as the number of households, income, population by gender age group for the area; Inquiry / Excel output by the time series unit for the business statistics details, such as the number of businesses and workers by industry for the area; Inquiry / Excel output of the lifestyle statistics, such as the number of households by occupation type, population by educational level, consumption expenditures for the corresponding area by time series unit; Inquiring / Excel outputting an aggregate of companies capable of analyzing the number of companies, the total sales amount, the total loan amount, the loan amount of the loan, etc. by the sales size by the company size for the corresponding area; Inquiring / excel outputting a small business listing which can analyze the number of small businesses and the amount of sales by sales scale by industry for the corresponding area; And It includes the steps of analyzing the apartments and condominiums in the area and the transaction status of apartment customers, If the user selects the customer analysis item, the corresponding subroutine corresponds to Selecting a specific candidate site, performance base date, customer segment, control point segment, address segment, performance segment, balance balance, and price range, and setting up a store owner or an arbitrary region or a specific administrative region; Analyzing / printing / exporting the point-specific market share for all the customers in the area; Analyzing / printing / excelling the share by grade for all the current customers in the corresponding area and searching the customer distribution map screen; And Method of supporting a store strategy using geographic information, comprising the step of analyzing / outputting the current overall customer status and performance status by administrative unit in the region and querying the map map screen of each administrative district. delete A data mart storing internal data including store information and customer information provided by a customer and external data including geographic information provided by a support company; An address refining module for standardizing / standardizing address information; A coordinate matching module for assigning coordinates to the refined address; In a method of supporting a store strategy through a store strategy support system comprising a server for transmitting or updating data of a data mart to a user computer according to a request of a user connected through the Internet, How to support the above store strategy, Checking whether the user accessing the server is an authenticated user; If the check result shows that the user is a normal user, the server can search for information on store strategy support on the user's computer. Store status menu, where you can search the basic information of stores, fixed investment information, sales performance, store ledger, comparison by store, and store execution status. Occupancy analysis results in the owner's right or arbitrary area, basic statistical analysis, own customer analysis, current customer analysis, apartment analysis, corporate / small business analysis, competition analysis analysis menu, White space analysis of branch candidates, (re) development information management, candidate site management, feasibility analysis, operating assets (profit and loss) prediction, basic statistical analysis, candidate customer analysis menu, Store review menu to execute relocation target extraction, analysis of potential customers, new store review, closed store review, previous store review, new store break-even point (BEP) review for existing stores, Information management menu for managing information necessary for system operation such as other store management, group company store management, prospective customer management, authority management, common code management, unmanned store management, log management, Transmitting a main screen on which a map menu is displayed to conveniently use a map screen on a large screen, such as local movement, branch search, and store search; The server sequentially determining which of the menus the user has selected; And The server includes executing a routine corresponding to a menu selected by the user, If the user selects the review menu above, the corresponding routine Transmitting, by the server, a screen for selecting one of relocation target extraction, prospective customer analysis, new store review, closed merger review, previous store review, and new store BEP review to the user computer; Determining, by the server, which item the user has selected; And Including the step of transmitting the result of the subroutine execution corresponding to the item selected by the user to the user's computer among the above items, When the user selects the relocation target extraction item, the corresponding subroutine is Setting a performance reference month, a business group, a balance balance balance, and a standardized index value; Inquiring items such as personnel / expenses / total assets / operating profit from a list of stores meeting the corresponding conditions and analyzing a relocation target; And It includes the steps of analyzing the analysis value of a specific store in a chart and viewing the location map of the store, If the user selects the above-mentioned prospective customer analysis item, the corresponding subroutine corresponds to Setting a specific store, performance classification, balance remaining balance, amount of money, customer classification, management store division, and address division; And And analyzing whether the customer corresponding to the selection condition is within the first or second store owner or outside the store owner of the current RBI, If the user selects the new review item above, the corresponding subroutine is Setting a particular metropolitan city trial, a new reference year, a business group, performance classification, and balance balance balance; Analyzing monthly performance after the opening date together with a list of new stores corresponding to the selection condition; And It includes the steps of analyzing the analysis value of a specific store in a chart and viewing the location map of the store, If the user selects the above integrated point review item, the corresponding subroutine is Selecting a particular metropolitan city trial, a consolidated base year, a business group, a performance classification, and a balance balance balance; Analyzing the monthly results from the month immediately before the amalgamation together with the amalgamation point list corresponding to the selection condition; And It includes the steps of analyzing the analysis value of a specific store in a chart and viewing the location map of the store, If the user selects the previous review item, the corresponding subroutine is Selecting a particular metropolitan city trial, previous base year, business group, performance classification, balance balance balance; Analyzing monthly performance from the previous month prior to the month together with the list of transfer points corresponding to the selection condition; And It includes the steps of analyzing the analysis value of a specific store in a chart and viewing the location map of the store, If the user selects the new BEP review item above, the corresponding subroutine is Establishing a particular metropolitan city trial, a new base year, and a business group; Analyzing the BEP profit and loss and the BEP delivery period together with a list of new stores corresponding to the selection condition; And Analyzing the analysis value of the specific store in the chart and the location of the store comprising the step of querying the map, characterized in that the store strategy using geographic information. delete A data mart storing internal data including store information and customer information provided by a customer and external data including geographic information provided by a support company; An address refining module for standardizing / standardizing address information; A coordinate matching module for assigning coordinates to the refined address; In a method of supporting a store strategy through a store strategy support system comprising a server for transmitting or updating data of a data mart to a user computer according to a request of a user connected through the Internet, How to support the above store strategy, Checking whether the user accessing the server is an authenticated user; If the check result shows that the user is a normal user, the server can search for information on store strategy support on the user's computer. Store status menu, where you can search the basic information of stores, fixed investment information, sales performance, store ledger, comparison by store, and store execution status. Occupancy analysis results in the owner's right or arbitrary area, basic statistical analysis, own customer analysis, current customer analysis, apartment analysis, corporate / small business analysis, competition analysis analysis menu, White space analysis of branch candidates, (re) development information management, candidate site management, feasibility analysis, operating assets (profit and loss) prediction, basic statistical analysis, candidate customer analysis menu, Store review menu to execute relocation target extraction, analysis of potential customers, new store review, closed store review, previous store review, new store break-even point (BEP) review for existing stores, Information management menu for managing information necessary for system operation such as other store management, group company store management, prospective customer management, authority management, common code management, unmanned store management, log management, Transmitting a main screen on which a map menu is displayed to conveniently use a map screen on a large screen, such as local movement, branch search, and store search; The server sequentially determining which of the menus the user has selected; And The server includes executing a routine corresponding to a menu selected by the user, If the user selects the above information management menu, the corresponding routine is Transmitting, by the server, the user computer to a screen for selecting one of the other stores, group company store management, prospective customer management, authority management, common code management, unattended store management, and log management; Determining, by the server, which item the user has selected; And The subroutine execution result is sent to the user computer, If the user selects the above-mentioned store management item, the corresponding subroutine corresponds to Selecting a specific other store; And It includes the steps of adding / modifying the basic information, location information, etc. of the store, When the user selects the group company store management item, the corresponding subroutine corresponds to Selecting a specific group company store; And It includes the steps of adding / modifying the basic information, location information, etc. of the store If the user selects the prospect management item, the corresponding subroutine is Querying a list of registered prospects; Adding a list of prospects possessed by a user; Analyzing the shortest point by addressing and coordinate matching of the added prospective customer data; And Including the step of outputting the analyzed result to the prospects list and map screen and the Excel, If the user selects an authority management item, the corresponding subroutine corresponds to Managing an authority group; Setting an authority group for each department; And This includes the steps of setting permissions for each permission group. If the user selects a common code management item, the corresponding subroutine is Selecting a common code group; And It includes the steps of managing the code name, reference content, etc. for each detailed code If the user selects an unattended store file update item, the corresponding subroutine corresponds to Querying the status of all registered unmanned stores; Uploading the new unattended store list as an Excel file; And And updating the entire unmanned store status by addressing and coordinate matching of the added unmanned store data in the server. If the user selects a log management item, the corresponding subroutine corresponds to Analyzing a usage log of each user's menu by setting an inquiry period; And A method of supporting a store strategy using geographic information, comprising: managing a batch execution status of internal data. delete

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