Branch service value evaluation method, system, equipment and medium

Abstract

The invention provides a website business value evaluation method, system and device and a medium, and the method comprises the steps: obtaining the amount, income and expenditure data of a specified channel, and generating a user-level list wide table according to the amount, income and expenditure data; obtaining a business evaluation demand, determining a target dimension and a target index according to the business evaluation demand, performing data summarization statistics on the user-level list wide table according to the target dimension and the target index, and generating a multi-dimensional data model; obtaining a plurality of driving elements of a target website for the key business value, and quantifying the target indexes related to the driving elements based on the multi-dimensional data model to obtain quantitative index values; and determining an overall business value score of the target website according to the quantitative index value and a preset target value. The business value evaluation efficiency and accuracy are improved through the network business value evaluation system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer technology, and in particular to a network point business value evaluation method, system, device and medium. BACKGROUND

[0002] At present, power communication operators pay more and more attention to the improvement of customer experience. As an important window for customers to contact and understand telecommunications services, the business value of the channel network is directly related to the pros and cons of customer experience. In order to improve service quality and customer satisfaction, and enhance market competitiveness, telecommunications operators need to continuously optimize their channel network layout and business value management. However, there is currently a lack of business value evaluation system for channel network operation, and traditional business value evaluation mainly relies on manual calculation of financial indicators to roughly evaluate business value according to financial indicators. The business value evaluation efficiency is low, and the accuracy cannot be guaranteed. SUMMARY

[0003] The embodiment of the present application provides a network point business value evaluation method, system, device and medium to solve the problems of related technologies, and the technical scheme is as follows:

[0004] In a first aspect, the embodiment of the present application provides a network point business value evaluation method, comprising:

[0005] Obtaining the volume and income data of the specified channel, generating a user-level list wide table according to the volume and income data;

[0006] Obtaining the business evaluation requirement, determining the target dimension and the target index according to the business evaluation requirement, and performing data summary and statistics on the user-level list wide table according to the target dimension and the target index to generate a multi-dimensional data model;

[0007] Obtaining a plurality of driving elements of the target network point for key business value, quantifying the target indexes related to each driving element based on the multi-dimensional data model to obtain quantified index values;

[0008] Determining the overall business value score of the target network point according to the quantified index values and the preset target value.

[0009] In an embodiment, generating a user-level list wide table according to the volume and income data comprises:

[0010] Standardizing the volume and income data of each specified channel to obtain standard data;

[0011] Associating the standard data through a specified key field to generate a user-level list wide table; the specified key field includes a user ID and a channel ID.

[0012] In an implementation, the designated channel includes an operational data storage system, a customer relationship management system, a points system, a billing system, a commission settlement system, and a human resource system.

[0013] In an implementation, determining the overall business value score of the target point based on the quantified index value and a preset target value includes:

[0014] Comparing the quantified index value with the target value, and in the case that the quantified index value exceeds the target value, adding points based on the benchmark score, and in the case that the quantified index value is lower than the target value, subtracting points based on the benchmark score, to obtain an index score;

[0015] Obtaining an element weight allocated to each driving element, and calculating a module score corresponding to each module based on the index score corresponding to each driving element and the element weight;

[0016] Obtaining a module weight of each module, and calculating the overall business value score based on the module weight and the module score.

[0017] In an implementation, the target dimension includes an urban-rural attribute, a point star level, a sales area, a commercial circle level, and a channel type; and the target index includes total income, total cost, gross profit, fixed cost, variable cost, marginal profit, gross profit rate, and marginal profit rate.

[0018] In an implementation, the method further includes:

[0019] Constructing a point portrait of the target point based on the volume-revenue data;

[0020] Comparing the overall business value score of the target point with a mean value of the same channel based on the point portrait, and generating a benefit improvement scheme according to a comparison result.

[0021] In an implementation, the method further includes:

[0022] Determining an abnormal point meeting a low business value condition based on the overall business value score, and generating a supervision single to be pushed to the abnormal point.

[0023] In a second aspect, an embodiment of the present application provides a point business value evaluation system, which executes the point business value evaluation method as described above.

[0024] In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor. The memory and the processor communicate with each other through an internal connection path. The memory is configured to store instructions, and the processor is configured to execute the instructions stored in the memory. When the processor executes the instructions stored in the memory, the processor executes the method in any one of the embodiments of the aspects described above.

[0025] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium storing a computer program, when the computer program is run on a computer, the method in any of the above aspects is executed.

[0026] The advantages or beneficial effects of the above technical solution at least include:

[0027] The present application can automatically process the volume of data of different channels, determine the user-level list wide table according to the volume of data, perform data summary and statistics on the user-level list wide table according to the target dimension and the target index, generate a multi-dimensional data model, quantify the target index related to each driving factor based on the multi-dimensional data model, obtain the quantitative index value, determine the overall business value score of the target point according to the quantitative index value and the preset target value, and thus construct a point business value evaluation system. The operation cost, business development, business income, development quality and efficiency and other indexes after the channel is put into operation are intensively and explicitly presented, so as to continuously follow up and analyze the development trend of the point, timely find out the problems and deficiencies in operation and the experience that can be learned, and thus improve the business value evaluation efficiency and accuracy.

[0028] The above summary is only for the purpose of the description and is not intended to limit in any way. In addition to the above described illustrative aspects, embodiments and features, further aspects, embodiments and features of the present application will be readily apparent from the drawings and detailed description below. BRIEF DESCRIPTION OF DRAWINGS

[0029] In the drawings, like reference numerals refer to same or similar functionalities throughout the several views. The drawings are not necessarily to scale. It is to be understood that these drawings only depict several embodiments of the disclosure and are not to be considered as limiting its scope.

[0030] Figure 1 A flowchart of the point business value evaluation method of the present application;

[0031] Figure 2 A data flowchart of the multi-dimensional data model of the present application;

[0032] Figure 3 A process diagram of the point business value evaluation of the present application;

[0033] Figure 4 A module diagram of the point business value evaluation system of the present application;

[0034] Figure 5 A structure block diagram of the electronic device of an embodiment of the present application. DETAILED DESCRIPTION

[0035] In the following, certain example embodiments are simply described. As those skilled in the art will recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the application. Therefore, the drawings and description are to be regarded as illustrative in nature and not restrictive.

[0036] Currently, power communication operators pay more and more attention to the improvement of customer experience. As an important window for customers to contact and understand telecommunication services, the business value of channel network is directly related to the pros and cons of customer experience. In order to improve service quality and customer satisfaction, and enhance market competitiveness, telecommunication operators need to continuously optimize the layout of channel network and business value management. However, there is currently a lack of business value evaluation system for channel network operation, and the traditional business value evaluation mainly relies on manual calculation of financial indicators to roughly evaluate the business value according to the financial indicators. The business value evaluation efficiency is low, and the accuracy cannot be guaranteed.

[0037] In order to solve the above problems, the embodiment of the application provides a network business value evaluation method, which can automatically evaluate the business value of channel network, regularly evaluate and optimize the operation status of channel network, and improve the efficiency and accuracy.

[0038] As shown in the figure, the network business value evaluation method specifically includes the following steps: Figure 1

[0039] Step S1: acquiring the volume and revenue data of the specified channel, and generating a user-level list wide table according to the volume and revenue data.

[0040] Among them, the specified channel includes an operational data storage system, a customer relationship management system, a points system, a billing system, a commission settlement system and a human system. Specifically, the number of network users, the number of account users, the number of mobile active users, the income and other data are taken from the operational data storage (ODS); the order service volume and other information are taken from the customer relationship management (CRM); the value income and other information are taken from the points system; the arrears amount, the wing payment red envelope amount, the sharing amount and other information are taken from the billing system; the user commission related information is taken from the commission settlement system; the employee grade and quantity and other data are taken from the human system. At the same time, the rent related information is manually collected. All the data collected through the above channels are collectively referred to as volume and revenue data.

[0041] Because the collected volume and revenue data are relatively disordered, it also includes:

[0042] The volume and revenue data of each specified channel are standardized to obtain standard data;

[0043] The standard data is associated by specifying the key field to generate a user-level list wide table; the key field includes user ID and channel ID.​

[0044] The standardization process refers to unifying the statistical indicators of each channel's revenue and expenditure to ensure data consistency and comparability. Specific measures for standardization include:

[0045] Establishing uniform data definitions and classification standards to ensure the use of the same terminology and definitions by each channel.

[0046] Determining uniform calculation methods, such as how to calculate revenue, cost, profit, etc.

[0047] Specifying uniform time ranges, such as monthly, quarterly, or annually.

[0048] Determining uniform currency units, such as using RMB, USD, etc., and specifying exchange rate conversion rules.

[0049] Developing data collection and reporting processes to ensure that all channels follow the same processes.

[0050] After standardization, the standard data is associated through key fields such as user ID, sales point (channel) ID, and according to specific conditions or rules, the standard data is filtered, classified, calculated, and formatted to obtain a data set. From the data set, the data dimensions and indicators that meet the business requirements are extracted. Each channel system is connected through data lake, and the data of each channel system is merged through database development technology. Finally, the user-level list wide table is obtained to generate the user-level list wide table.

[0051] The user-level list wide table integrates data collected from multiple specified channels into a single table for analysis and query.

[0052] The user-level list wide table includes user identification information, transaction and behavior data, product or service information, time and location information, user attributes and preferences, user status and level, financial and payment information, channel and touchpoint information, etc. The purpose of the user-level list wide table is to provide a comprehensive view of all user-related data, enabling analysts to conduct in-depth user behavior analysis, customer segmentation, and personalized marketing strategy development.

[0053] Step S2: Obtain business evaluation requirements, determine target dimensions and target indicators based on business evaluation requirements, and perform data aggregation and statistics on the user-level list wide table based on target dimensions and target indicators to generate a multi-dimensional data model.

[0054] The data model is constructed in advance based on different dimensions and indicators. The dimension is a basic constituent element in the multi-dimensional model, which represents different aspects or characteristics of the evaluation of the business value of the network point, such as urban and rural attributes, network point star rating, sales area, commercial circle level, channel category, etc. The dimension helps to divide the complex business environment into manageable and comparable parts. The indicator is a specific numerical value for measuring the dimension, which is a key data point for evaluating the business value of the network point, such as the number of network users, the number of account users, and income. The indicator is the concretization of the dimension, which is used to quantify the performance of the dimension.

[0055] The embodiment is a secondary development based on the pre-constructed data model, that is, the target dimension and the target indicator required by the business evaluation demand are determined, the target dimension and the target indicator related data are extracted from the user level list wide table, the extracted data is summarized, and the summarized data is further statistically analyzed, such as trend analysis, comparative analysis, correlation analysis, and prediction analysis. The analysis results are presented in the form of charts, reports or other visual forms, so as to be easier to understand and communicate. It is equivalent to customizing and expanding the pre-constructed data model based on the target dimension and the target indicator, as shown in Figure 2 to form a multi-dimensional data model associated with the business evaluation demand.

[0056] It should be noted that the business evaluation demand includes the evaluation object and the channel development strategy. The evaluation object refers to the specific business unit that needs to be evaluated, such as different sales channels, product lines or market areas. The channel development strategy refers to the development strategy formulated by the company for the sales channel, which will affect the selection of the evaluation object and the determination of the evaluation dimension.

[0057] The indicators of the multi-dimensional data model of the embodiment are as follows:

[0058]

[0059]

[0060] Step S3: Obtain a plurality of driving factors of the target network point for the key business value, and quantify the target indicators related to each driving factor based on the multi-dimensional data model to obtain quantized indicator values.

[0061] The strategic goal of the target network point is determined in advance, and the business value measurement standard is listed. The strategic goal is the long-term goal to be achieved by the target network point within a certain period of time, such as increasing market share, improving profit margin, and enhancing brand influence. The measurement standard is a specific indicator for evaluating whether the business value meets the strategic goal. These standards can be financial indicators (such as income, profit, and return on investment) and non-financial indicators (such as customer satisfaction, market share, and employee satisfaction).

[0062] The business value is decomposed into benefits, scale, quality, capacity and other modules by using a "value tree" to branch out multiple branches (main business areas) from the trunk (company strategic objectives) and further subdivide more specific leaves (KPIs), and the driving factors of key business value are obtained; the driving factors are specific factors in each module, each module contains a series of related driving factors, and the driving factors affect the key variables of business value.

[0063] In this embodiment, the driving factors include benefit key driving factors, scale driving factors, quality driving factors, capacity driving factors, etc.; the benefit key driving factors include gross margin, 100 yuan channel commission pulling new revenue, 100 yuan channel commission pulling new user number, etc.; the scale driving factors include mobile effective new account ratio, broadband new account ratio, Tianyi high-definition new account ratio, etc.; the quality driving factors include mobile ARPU, current year new mobile retention rate, broadband ARPU, etc.; the capacity driving factors include sold unit ratio, effective service unit, etc.

[0064] The driving factors are included in the business value evaluation model, and the driving factors are used as the key input of the business value evaluation model, which directly affects the output of the evaluation model, because the evaluation model calculates the overall business value score according to the performance of these driving factors.

[0065] The dimensions and indicators in the multi-dimensional data model are the basis for selecting quantitative indicators. Users can select relevant indicators for quantification from the model according to the analysis target. Specifically, according to the business target and demand, indicators related to production and operation are selected from the multi-dimensional data model, such as sales, cost, customer satisfaction, service quality, etc. These indicators may be extracted from different data sources (such as CRM system, ERP system, customer feedback system, etc.); then each indicator is quantified, i.e. qualitative data (such as customer satisfaction survey results) is converted into quantitative data (such as satisfaction score), to obtain the corresponding quantitative indicator value.

[0066] Step S4: determining the overall business value score of the target point according to the quantitative indicator value and the preset target value.

[0067] Specifically, a reasonable target value is preset for each driving factor in each module, the quantitative indicator value of each driving factor in a single module is compared with the corresponding target value, and the achievement degree or completion rate is calculated. In the case that the quantitative indicator value exceeds the target value, the score is increased based on the preset benchmark score to obtain the indicator score corresponding to the single driving factor; in the case that the quantitative indicator value is lower than the target value, the score is decreased based on the benchmark score to obtain the indicator score corresponding to the single driving factor; the indicator score is implemented in percentage.

[0068] In this embodiment, the average value of each city is selected for evaluation: the system automatically takes the average value of each city as the target value for score calculation, reaching the benchmark score of 60 points for the average value of each city; when the maximum value of the positive index or the minimum value of the negative index is taken, the full score of 100 points is obtained, which is considered as the optimal index value; when the minimum value of the positive index or the maximum value of the negative index is taken, the minimum score of 0 points is obtained, which is considered as the worst index value; the rest of the index values are calculated by referring to the formula of the achievement degree in the "target value evaluation method" to calculate the score respectively. For example, the score of the positive index gross profit margin = 60 + (gross profit margin - gross profit margin city channel average) / gross profit margin city channel average x 100, the upper limit is 100 points; the negative index of cost per hundred yuan = 60 - (cost per hundred yuan city channel average - cost per hundred yuan) / cost per hundred yuan city channel average x 100, the upper limit is 100 points.

[0069] In combination Figure 3 As shown in the business value evaluation model of the embodiment, the element weight allocated to each driving element is obtained, the index score of each driving element in a single module is multiplied by the corresponding element weight, and then accumulated to obtain the module score corresponding to the single module, which is implemented in percentage.

[0070] The following table shows the single module index score of a certain point in one of the account periods in this embodiment:

[0071]

[0072] In the business value evaluation model, multiple modules are divided, each module is pre-allocated with its corresponding module weight, and the module score corresponding to each module is multiplied by the corresponding module weight and then accumulated to obtain the total score corresponding to all modules in the business value evaluation model, which is also called the overall business value score. The following table shows the overall business value score:

[0073] Module Indicator Module Score Module Weight Benefit Gross Margin, 100 Yuan Channel Commission Pulls New Revenue… 85.01 20％ Scale Mobile Effective New Additions, Broadband New Additions… 69.78 30％ Quality Mobile ARPU, New Mobile Retention Rate This Year… 81.12 30％ Capacity Business Handling Volume, Average Business Handling Time… 79.02 20％ Module Total Score 78.076 100％

[0074] Further, it further includes:

[0075] Based on the quantity and income data, the point image of the target point is constructed;

[0076] Based on the point image, the total business value score of the target point is compared with the same channel average, and the benefit improvement scheme is generated according to the comparison result.

[0077] Specifically, according to the quantity and income data of the target point, including sales data, customer data, operation data, etc., the point image of the target point is constructed, which is a comprehensive view of a specific channel point, including its business performance, customer characteristics, market environment, etc.

[0078] After establishing the site image, the overall business value score of the target site can be compared with the average value of the same channel to understand the overall level of the target site. The key indicators of the target site can also be compared with the average value of the same channel to find indicators below the average level and give a brief diagnosis and evaluation. Analyzing the reasons behind these indicators below the average level may be due to poor inventory management, poor customer service, etc. According to the analysis results, improvement strategies such as increasing marketing investment, optimizing inventory management, etc. are developed to adjust resource allocation to improve efficiency and effectiveness. The analysis results can be displayed through charts and graphs to make the problem more intuitive.

[0079] Diagnostic evaluation examples are as follows: XX channel profitability XX (good, medium, poor), gross profit margin XX, below / higher than channel average XX percentage points;

[0080] Revenue expansion capability: (good, medium, poor), per capita income XX million, higher / lower than average XX yuan;

[0081] Business volume: (good, medium, poor), per capita expansion of new users XX households, higher / lower than average XX households;

[0082] Service efficiency: (good, medium, poor), per capita handling volume XX, higher / lower than average XX;

[0083] Cost control: (good, medium, poor), cost per hundred yuan of income XX yuan, higher / lower than average XX yuan; Overall business value score: below 60 points is low, 60-80 is medium, 800-100 is excellent.

[0084] Finally, according to the overall business value score, determine the abnormal site that meets the low business value condition, and implement single dispatch and supervision for low business value channel sites, including supervision single and reporting result review:

[0085] Supervision single: sites with establishment time more than one year and continuous 6 months of diagnosis as low business value are marked as abnormal sites, and single dispatch is performed on abnormal sites. The branch company is required to analyze the causes, develop measures, implement rectification, and feedback the causes, rectification measures, and rectification situation. The supervision process is as follows:

[0086] (1) On the 20th of each month, the low business value site supervision information is automatically triggered to the branch channel management department according to the system rules;

[0087] (2) Before the 10th of the next month, the city company channel management department receives the supervision single, analyzes the causes, develops measures, implements rectification, and feeds back the causes, rectification measures, and rectification situation.

[0088] Reporting result review: the channel management department reviews the reporting result of the branch company, and returns the situation of not deepening the cause analysis, not reasonably formulating the rectification measures, and not implementing the rectification to the branch company for rectification again.

[0089] The embodiment of the application generates a channel network portrait, and the network portrait shows the unique market environment, user group and operation characteristics of each channel network. The factors can be fully considered to customize a strategy suggestion for each network, which helps the network to more accurately position the development short board, meet the user demand, and improve the efficiency of the channel network.

[0090] Another embodiment of the application provides a network business value evaluation system, as shown in the figure, Figure 4 The network business value evaluation system includes a data model module for generating a multi-dimensional data model, a business value evaluation module for determining the overall business value score of the target network, and a monitoring and supervision module for supervising the improvement of the network with low business value.

[0091] It should be noted that the functions of the modules in the system of the embodiment of the application can be referred to the corresponding description in the network business value evaluation method described above, and will not be repeated here.

[0092] Another embodiment of the application provides an electronic device, Figure 5 showing a structural block diagram of the electronic device according to an embodiment of the application. As shown in the figure, Figure 5 The electronic device includes a memory 100 and a processor 200, and the memory 100 stores a computer program that can run on the processor 200. The processor 200 implements the network business value evaluation method in the above embodiment when executing the computer program. The number of the memory 100 and the processor 200 can be one or more.

[0093] The electronic device further includes:

[0094] A communication interface 300 for communicating with external devices to transmit data.

[0095] If the memory 100, the processor 200 and the communication interface 300 are independently implemented, the memory 100, the processor 200 and the communication interface 300 can be connected to each other through a bus and complete the communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0096] Optionally, in a specific implementation, if the memory 100, the processor 200 and the communication interface 300 are integrated on a chip, the memory 100, the processor 200 and the communication interface 300 can complete the communication among each other through an internal interface.

[0097] The embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the method provided in the embodiment of the present application.

[0098] The embodiment of the present application further provides a chip, which comprises a processor, and the processor is used to call and run instructions stored in a memory, so that a communication device installed with the chip executes the method provided in the embodiment of the present application.

[0099] The embodiment of the present application further provides a chip, which comprises an input interface, an output interface, a processor and a memory, and the input interface, the output interface, the processor and the memory are connected through internal connection paths, and the processor is used to execute code in the memory, and when the code is executed, the processor is used to execute the method provided in the embodiment of the present application.

[0100] It should be understood that the processor described above can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. It should be noted that the processor can be a processor supporting an advanced RISC machine (ARM) architecture.

[0101] Further, the aforementioned memory can include a read-only memory, and a random access memory, and can further include a non-volatile random access memory. The memory can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memory. The non-volatile memory can include a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory. The volatile memory can include a random access memory (RAM) that is used as an external cache. By way of example, but not limitation, a number of forms of RAM are available. For example, a static RAM (SRAM), a dynamic RAM (DRAM), a synchronous DRAM (SDRAM), a double data rate SDRAM (DDR SDRAM), an enhanced SDRAM (ESDRAM), a synchlink DRAM (SLDRAM), and a direct rambus RAM (DR RAM) can be employed.

[0102] In the above-described embodiments, all or a part can be implemented by software, hardware, firmware, or any combination thereof. When implemented as software, it can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded into and executed by a computer, all or part of the procedures or functions according to the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.

[0103] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. Also, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0104] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0105] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of various changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for evaluating the value of a dot business, characterized by, The method comprises: obtaining volume and income data of specified channels, and generating a user-level list wide table according to the volume and income data; obtaining business evaluation requirements, determining target dimensions and target indicators according to the business evaluation requirements, performing data summary and statistics on the user-level list wide table according to the target dimensions and the target indicators, and generating a multi-dimensional data model; obtaining a plurality of driving elements of a target site for key business values, quantifying the target indicators related to each of the driving elements based on the multi-dimensional data model to obtain quantified indicator values; determining an overall business value score of the target site according to the quantified indicator values and a preset target value.

2. The method of claim 1, wherein, The generation of the user-level list wide table according to the volume and income data comprises: standardizing the volume and income data of each of the specified channels to obtain standard data; associating the standard data through specified key fields to generate the user-level list wide table; the specified key fields include user ID and channel ID.

3. The method of claim 1, wherein, The specified channels include an operational data storage system, a customer relationship management system, a points system, a billing system, a commission settlement system, and a human resource system.

4. The method of claim 1, wherein, The determination of the overall business value score of the target site according to the quantified indicator values and the preset target value comprises: comparing the quantified indicator values with the target value, and performing scoring on the basis of a baseline score in the case that the quantified indicator values exceed the target value, and performing scoring on the basis of the baseline score in the case that the quantified indicator values are lower than the target value to obtain an indicator score; obtaining an element weight allocated to each of the driving elements, and calculating a module score corresponding to each module according to the indicator score corresponding to each of the driving elements and the element weight; obtaining a module weight of each module, and calculating the overall business value score according to the module weight and the module score.

5. The method of claim 1, wherein, The target dimensions include urban and rural attributes, site star levels, sales areas, commercial district levels, and channel types; and the target indicators include total income, total cost, gross profit, fixed cost, variable cost, marginal profit, gross profit rate, and marginal profit rate.

6. The method of claim 1, wherein, The method further comprises: constructing a site portrait of the target site based on the volume and income data; comparing the overall business value score of the target site corresponding to the target site with a same-channel average based on the site portrait, and generating a benefit improvement scheme according to a comparison result.

7. The method of claim 1, wherein, The method further comprises: determining an abnormal site that meets a low business value condition according to the overall business value score, and generating a supervision single to be pushed to the abnormal site.

8. A network point of business value assessment system, characterized by, The method comprises:

9. An electronic device, comprising: a processor and a memory, the memory storing instructions, the instructions being loaded and executed by the processor to implement the site business value evaluation method. The computer program stored in the computer readable storage medium is executed by the processor to implement the site business value evaluation method.

10. A computer-readable storage medium, characterized in that, ​

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