A data display method and device

Abstract

Embodiments of the present application provide a data display method and device, the data display method comprising: receiving a data display instruction input by a user, and determining a target crowd according to the data display instruction; obtaining a set of associated data of the target crowd; extracting heavy user information and friend user information associated with the heavy user information from the set of associated data according to a preset data processing rule; constructing a heavy user relationship graph according to the heavy user information and the friend user information; and outputting the heavy user relationship graph. It can be seen that the method can automatically generate user relationship without human intervention, and has high statistical efficiency and high accuracy, thereby facilitating mining of potential customers and business expansion.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to a data display method and device. BACKGROUND

[0002] At present, with the development of banking business, a large amount of information of heavy guests (salesmen, agents), Internet users and bank customers will be accumulated; and the group has those users and customers related to heavy guests, and how many users can be reached and developed into bank customers through heavy guests, how heavy guests judge that customers are suitable for promoting new business, and whether there is a cross between the customers managed by heavy guests in the same department, which requires to summarize and sort the association between heavy guests and customers and heavy guests and heavy guests. The existing information display method is usually manually sorted and entered, manually operated, manually established and displayed, the operation process is tedious, the statistical efficiency is low, and the problem of incomplete statistics is caused by human factors, and the accuracy is relatively low. SUMMARY

[0003] The purpose of the embodiment of the present application is to provide a data display method and device, which can automatically generate user relationship without human intervention, has high statistical efficiency and high accuracy, so as to facilitate the mining of potential customers and the expansion of business.

[0004] The first aspect of the embodiment of the present application provides a data display method, comprising:

[0005] receiving a data display instruction input by a user, and determining a target population according to the data display instruction;

[0006] obtaining an association data set of the target population;

[0007] extracting heavy guest user information and friend user information associated with the heavy guest user information from the association data set according to a preset data processing rule;

[0008] constructing a heavy guest relationship graph according to the heavy guest user information and the friend user information;

[0009] outputting the heavy guest relationship graph.

[0010] In the implementation process, the method can preferentially receive a data display instruction input by a user, determine a target crowd according to the data display instruction, acquire an associated data set of the target crowd, extract heavy user information and friend user information associated with the heavy user information from the associated data set according to a preset data processing rule, construct a heavy user relationship graph according to the heavy user information and the friend user information, and finally output the heavy user relationship graph. As can be seen, this embodiment can automatically generate user character relationships without human intervention, and has high statistical efficiency and high accuracy, thereby facilitating mining of potential customers and business expansion.

[0011] Further, the acquiring the associated data set of the target crowd comprises:

[0012] determining a user access permission corresponding to the data display instruction;

[0013] acquiring the associated data set of the target crowd according to the user access permission.

[0014] Further, the constructing a heavy user relationship graph according to the heavy user information and the friend user information comprises:

[0015] determining a business relationship between a heavy user and a friend, a heavy user relationship and a friend relationship according to the heavy user information and the friend user information;

[0016] acquiring business relationship summary data corresponding to the business relationship, heavy user relationship summary data corresponding to the heavy user relationship, and friend relationship summary data corresponding to the friend relationship according to the associated data set;

[0017] constructing the heavy user relationship graph with a heavy user as a branch node and a friend as a leaf node according to the business relationship, the heavy user relationship, the friend relationship, the business relationship summary data, the heavy user relationship summary data, and the friend relationship summary data.

[0018] Further, the associated data set at least includes transaction data associated with the target crowd, registration information associated with the target crowd, and user information associated with the target crowd.

[0019] Further, the method further comprises:

[0020] receiving a relationship dimension switching instruction input by a user for the heavy user relationship graph;

[0021] when the relationship dimension switching instruction is a heavy user relationship only instruction, only the heavy user relationship in the heavy user relationship graph and the heavy user relationship summary data are output when the heavy user relationship graph is output;

[0022] When the relationship dimension switching instruction is a friend relationship only instruction, the friend relationship in the heavy user relationship graph and the friend relationship summary data are output only when the heavy user relationship graph is output.

[0023] The second aspect of the embodiments of the present application provides a data display device, which comprises:

[0024] a receiving unit configured to receive a data display instruction input by a user;

[0025] a determining unit configured to determine a target population according to the data display instruction;

[0026] an obtaining unit configured to obtain a correlation data set of the target population;

[0027] an extracting unit configured to extract heavy user information and friend user information associated with the heavy user information from the correlation data set according to a preset data processing rule;

[0028] a constructing unit configured to construct a heavy user relationship graph according to the heavy user information and the friend user information;

[0029] an outputting unit configured to output the heavy user relationship graph.

[0030] In the implementation process, the device can receive a data display instruction input by a user through the receiving unit, determine a target population according to the data display instruction through the determining unit, obtain a correlation data set of the target population through the obtaining unit, extract heavy user information and friend user information associated with the heavy user information from the correlation data set according to a preset data processing rule through the extracting unit, construct a heavy user relationship graph according to the heavy user information and the friend user information through the constructing unit, and output the heavy user relationship graph through the outputting unit. It can be seen that, by implementing this embodiment, the user relationship can be automatically generated without human intervention, and the statistical efficiency is high and the accuracy is high, thereby facilitating the mining of potential customers and the expansion of business.

[0031] Further, the obtaining unit comprises:

[0032] a first determining subunit configured to determine a user access right corresponding to the data display instruction;

[0033] a first obtaining subunit configured to obtain a correlation data set of the target population according to the user access right.

[0034] Further, the constructing unit comprises:

[0035] The second determining sub-unit is configured to determine a business relationship between a heavy passenger and a friend, a heavy passenger relationship, and a friend relationship according to the heavy passenger user information and the friend user information.

[0036] The second obtaining sub-unit is configured to obtain business relationship summary data corresponding to the business relationship, heavy passenger relationship summary data corresponding to the heavy passenger relationship, and friend relationship summary data corresponding to the friend relationship according to the association data set.

[0037] The constructing sub-unit is configured to construct a heavy passenger relationship graph with a heavy passenger as a branch node and a friend as a leaf node according to the business relationship, the heavy passenger relationship, the friend relationship, the business relationship summary data, the heavy passenger relationship summary data, and the friend relationship summary data.

[0038] Further, the association data set at least includes transaction data associated with the target population, registration information associated with the target population, and user information associated with the target population.

[0039] Further, the receiving unit is further configured to receive a relationship dimension switching instruction input by a user for the heavy passenger relationship graph.

[0040] The output unit is further configured to, when the relationship dimension switching instruction is a heavy passenger relationship only instruction, output only the heavy passenger relationship and the heavy passenger relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0041] The output unit is further configured to, when the relationship dimension switching instruction is a friend relationship only instruction, output only the friend relationship and the friend relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0042] The third aspect of the embodiments of the present application provides an electronic device, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the data display method in any one of the first aspect of the embodiments of the present application.

[0043] The fourth aspect of the embodiments of the present application provides a computer readable storage medium, which stores computer program instructions, when the computer program instructions are read and run by a processor, the data display method in any one of the first aspect of the embodiments of the present application is executed. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0045] Figure 1 A flowchart of a data display method provided by the embodiments of the present application is shown in the figure.

[0046] Figure 2 A structural diagram of a data display device provided by the embodiments of the present application is shown in the figure.

[0047] Figure 3 An example diagram provided by the embodiments of the present application is shown in the figure.

[0048] Figure 4 Another example diagram provided by the embodiments of the present application is shown in the figure.

[0049] Figure 5 Still another example diagram provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0051] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0052] Embodiment 1

[0053] Please refer to Figure 1 , Figure 1 A flowchart of a data display method provided by the embodiments of the present application is shown in the figure. The data display method includes:

[0054] S101, receiving a data display instruction input by a user, and determining a target population according to the data display instruction.

[0055] S102, determining the user access authority corresponding to the data display instruction.

[0056] S103, obtaining the associated data set of the target population according to the user access authority.

[0057] In this embodiment, the association data set at least includes transaction data associated with the target population, registration information associated with the target population, and user information associated with the target population.

[0058] S104, extracting heavy passenger user information and friend user information associated with the heavy passenger user information from the association data set according to the preset data processing rule.

[0059] S105, determining the business relationship between the heavy passenger and the friend, the heavy passenger relationship and the friend relationship according to the heavy passenger user information and the friend user information.

[0060] S106, obtaining business relationship summary data corresponding to the business relationship, heavy passenger relationship summary data corresponding to the heavy passenger relationship, and friend relationship summary data corresponding to the friend relationship according to the association data set.

[0061] S107, constructing a heavy passenger relationship graph taking the heavy passenger as a branch node and the friend as a leaf node according to the business relationship, the heavy passenger relationship, the friend relationship, the business relationship summary data, the heavy passenger relationship summary data, and the friend relationship summary data.

[0062] Please refer to Figure 3 , Figure 3 An example of a heavy passenger relationship graph is shown.

[0063] S108, outputting the heavy passenger relationship graph.

[0064] S109, receiving a relationship dimension switching instruction input by a user for the heavy passenger relationship graph, and executing step S110 or S111.

[0065] S110, when the relationship dimension switching instruction is only heavy passenger relationship instruction, only outputting the heavy passenger relationship and the heavy passenger relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0066] Please refer to Figure 4 , Figure 4 An example of a heavy passenger graph-Only heavy passenger is shown.

[0067] S111, when the relationship dimension switching instruction is only friend relationship instruction, only outputting the friend relationship and the friend relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0068] Please refer to Figure 5 , Figure 5 An example of a heavy passenger graph-Only friend relationship is shown.

[0069] The present application is based on a large number of heavy customers (salesmen, agents), Internet users, and bank customers' information accumulated in the development of banking business. Because it is backed by a group, there is an association between users and heavy customers in the group (such as how many users can be reached through heavy customers and developed into bank customers, how heavy customers judge that customers are suitable for promoting new business, and whether there is an overlap between the customers managed by heavy customers in the same department), so it is necessary to summarize and sort out the association between heavy customers and customers and between heavy customers. However, most of the current products that display the relationship between people have the following problems:

[0070] 1. Most of the current human relationship displays are manually sorted and entered, and the operation process is tedious and the statistical efficiency is low. Moreover, it is affected by human factors, and the accuracy is relatively low.

[0071] 2. The human relationship in the transaction involves a large amount of transaction data, and the coverage of manual statistics is limited, and the statistics of associated people are not comprehensive. Some search engines are also used to process it, but it is mainly achieved by human marking, which has high maintenance cost and also has the problem of incomplete statistics.

[0072] 3. Most of the human relationship displays are vertical displays, and the target person is searched to get the relationship of the associated person, but when drilling down to another human relationship, it needs to be searched again, which is not intuitive. That is, it is generally expanded around the target person, and the center cannot be freely switched.

[0073] 4. One interface mostly displays only one relationship dimension, cannot display multiple relationship dimensions together, cannot freely switch dimensions, and needs to switch interfaces when switching different relationship dimensions

[0074] 5. Because there is more human processing, the permission to view the human relationship cannot be accurately controlled, causing data leakage.

[0075] 6. Most products only display the human relationship, lack the reasons for the association, and the summary data of various relationships.

[0076] In the embodiment, the method can be used in various human relationship display products.

[0077] In the embodiment, the method can automatically generate the relationship graph of heavy customers and customers and the relationship graph of heavy customers through the heavy customer relationship graph generation method, thereby improving the statistical efficiency and accuracy of heavy customer relationships and mining potential customers and expanding business effects.

[0078] In the embodiment, the method can select the range of the target group, and according to the range of the target group, the transaction data associated with the target group, and the registration information, a data set is obtained through big data processing; the data is uniformly processed, the tediousness of manual processing is reduced, and the error rate of manual processing is reduced.

[0079] In the embodiment, the method can also set the processing rules of the data, so that the data is fully covered, is extracted at a fixed time every day, and is relatively real-time; various relationship rules are set when the data is extracted, and can be flexibly modified.

[0080] In the embodiment, the method can also set two roles through the relationship graph: heavy guests and friends (user clients). Then, the heavy guests are taken as branch nodes, the friends are taken as leaf nodes, when a heavy guest is selected, the relationship of the characters is displayed with the current heavy guest as a center node, the center node can only be a heavy guest, and the leaf node can only display the information of the current user.

[0081] In the embodiment, the relationship graph of the heavy guests displays the mixed dimensions of the two roles by default, and only the heavy guest relationship or only the friend relationship can be selected, and the relationship dimensions can be randomly switched.

[0082] In the embodiment, the method can perform authentication according to the pocket bank APP, only extract the data that the current logged-in user has the permission to view to generate the relationship graph, and prevent data leakage caused by an intermediate process when the data is viewed.

[0083] In the embodiment, the relationship type of the heavy guests and the heavy guests is marked on the connection line, and the business relationship of the heavy guests and the friends is also marked on the connection line; the summary data of various relationships of the current node is counted on the side of the relationship graph, so that the various relationships of the heavy guests are clear.

[0084] In the embodiment, the execution subject of the method can be a computer, a server, or the like computing device, and the embodiment is not limited in this regard.

[0085] In the embodiment, the execution subject of the method can also be a smart phone, a tablet computer, or the like smart device, and the embodiment is not limited in this regard.

[0086] It can be seen that the data display method described in the embodiment can extract data uniformly and clean up data by big data, and centrally process data to avoid errors caused by manual operation, and update data regularly to avoid time delay caused by manual operation; the big data formulates rules for data extraction, realizes comprehensive coverage of the heavy passenger relationship, and improves the efficiency and accuracy of the character relationship system; at the same time, the heavy passenger relationship graph provides a clear and understandable display method, supports mixed dimension and single dimension display method, and can be switched at will, greatly improving the readability of the heavy passenger relationship; in addition, the heavy passenger relationship graph supports center node switching, so that the superior leader can view the relationship graph from the perspective of the current heavy passenger, extract data according to the permission of the current login user, and generate the relationship graph to prevent data leakage. Finally, the method can mark the type of relationship through the connection of the graph, display the business relationship between the heavy passenger and the customer, and the employee relationship between the heavy passengers; and provide summary data of various dimensions, which is clear and understandable; and can accurately display various relationships of the heavy passenger, provide a basis for grasping the customer follow-up situation of the heavy passenger and mining potential customers.

[0087] Embodiment 2

[0088] Please refer to Figure 2 , Figure 2 The structure diagram of a data display device provided by the embodiment of the application is shown in FIG. 1. As shown in FIG. 1, the data display device includes: Figure 2

[0089] The receiving unit 210 is configured to receive a data display instruction input by a user.

[0090] The determining unit 220 is configured to determine a target person group according to the data display instruction.

[0091] The obtaining unit 230 is configured to obtain a correlation data set of the target person group.

[0092] The extracting unit 240 is configured to extract heavy passenger user information and friend user information associated with the heavy passenger user information from the correlation data set according to a preset data processing rule.

[0093] The constructing unit 250 is configured to construct a heavy passenger relationship graph according to the heavy passenger user information and the friend user information.

[0094] The output unit 260 is configured to output the heavy passenger relationship graph.

[0095] As an optional implementation, the obtaining unit 230 includes:

[0096] The first determining subunit 231 is configured to determine a user access permission corresponding to the data display instruction.

[0097] The first obtaining subunit 232 is configured to obtain a correlation data set of the target person group according to the user access permission.​

[0098] As an optional implementation, the constructing unit 250 comprises:

[0099] The second determining sub-unit 251 is configured to determine the business relationship between the heavy passenger and the friend, the heavy passenger relationship and the friend relationship according to the heavy passenger user information and the friend user information.

[0100] The second obtaining sub-unit 252 is configured to obtain the business relationship summary data corresponding to the business relationship, the heavy passenger relationship summary data corresponding to the heavy passenger relationship and the friend relationship summary data corresponding to the friend relationship according to the association data set.

[0101] The constructing sub-unit 253 is configured to construct the heavy passenger relationship graph with the heavy passenger as the branch node and the friend as the leaf node according to the business relationship, the heavy passenger relationship, the friend relationship, the business relationship summary data, the heavy passenger relationship summary data and the friend relationship summary data.

[0102] In this embodiment, the association data set at least comprises the transaction data associated with the target population, the registration information associated with the target population and the user information associated with the target population.

[0103] As an optional implementation, the receiving unit 210 is further configured to receive the relationship dimension switching instruction input by the user for the heavy passenger relationship graph.

[0104] The output unit 260 is further configured to, when the relationship dimension switching instruction is the only heavy passenger relationship instruction, output only the heavy passenger relationship and the heavy passenger relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0105] The output unit 260 is further configured to, when the relationship dimension switching instruction is the only friend relationship instruction, output only the friend relationship and the friend relationship summary data in the heavy passenger relationship graph when outputting the heavy passenger relationship graph.

[0106] In this embodiment, the explanation and description of the data display device can refer to the description in Embodiment 1, and the same will not be repeated here.

[0107] It can be seen that the data display device described in the embodiment can extract data and clean data by big data, and can avoid errors caused by manual operation, and can update data in time and avoid time delay caused by manual operation; the big data can set rules for data extraction, realize comprehensive coverage of the heavy passenger relationship, and improve the efficiency and accuracy of the character relationship system; meanwhile, the heavy passenger relationship graph provides a clear and understandable display method, supports mixed dimension and single dimension display method, and can be switched at will, which greatly improves the readability of the character relationship; in addition, the heavy passenger relationship graph supports center node switching, so that the superior leader can view the relationship graph from the perspective of the current heavy passenger, extract data according to the permission of the current login user, and generate the relationship graph to prevent data leakage. Finally, the method can mark the type of relationship through the connection of the graph, display the business relationship between the heavy passenger and the customer, and the employee relationship between the heavy passenger and the heavy passenger; and provide summary data of various dimensions, which is clear and understandable; and can accurately display various relationships of the heavy passenger, which provides a basis for grasping the customer follow-up situation of the heavy passenger and mining potential customers.

[0108] The embodiment of the present application provides an electronic device, comprising a memory and a processor, the memory is used for storing a computer program, and the processor runs the computer program to make the electronic device execute the data display method in the embodiment 1 of the present application.

[0109] The embodiment of the present application provides a computer readable storage medium, which stores computer program instructions, and when the computer program instructions are read and run by a processor, the data display method in the embodiment 1 of the present application is executed.

[0110] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are only schematic, for example, the flowchart and block diagram in the drawings show the possible implementation architecture, function and operation of the device, method and computer program product according to the embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders from that shown in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for executing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0111] In addition, each functional module in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0112] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0113] The above is only an embodiment of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0114] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any skilled person in the art can easily think of changes or replacements within the technical range disclosed by the present application, which shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

[0115] It is to be noted that, as used in this specification and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to "a component" can include a combination of two or more components. Additionally, the terms "comprise," "comprises," and "comprising," or any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Furthermore, unless otherwise indicated herein, the terms "first," "second," "third," etc., are used herein merely as labels, and are not intended to impose ordinal import.

Claims

1. A data presentation method, characterized by, The method comprises the following steps: receiving a data display instruction input by a user, and determining a target population according to the data display instruction; obtaining a correlation data set of the target population; extracting heavy passenger user information and friend user information associated with the heavy passenger user information from the correlation data set according to a preset data processing rule; the heavy passenger user information is user information of a business representative or an agent, and the friend user information is user information of a heavy passenger client; constructing a heavy passenger relationship graph according to the heavy passenger user information and the friend user information; outputting the heavy passenger relationship graph; wherein the step of constructing the heavy passenger relationship graph according to the heavy passenger user information and the friend user information comprises: determining a business relationship between a heavy passenger and a friend, a heavy passenger relationship, and a friend relationship according to the heavy passenger user information and the friend user information; obtaining business relationship summary data corresponding to the business relationship, heavy passenger relationship summary data corresponding to the heavy passenger relationship, and friend relationship summary data corresponding to the friend relationship according to the correlation data set; constructing the heavy passenger relationship graph with the heavy passenger as a branch node and the friend as a leaf node according to the business relationship, the heavy passenger relationship, the friend relationship, the business relationship summary data, the heavy passenger relationship summary data, and the friend relationship summary data.

2. The data presentation method of claim 1, wherein, The step of obtaining the correlation data set of the target population comprises: determining a user access permission corresponding to the data display instruction; obtaining the correlation data set of the target population according to the user access permission.

3. The data presentation method of claim 1, wherein, The correlation data set at least includes transaction data associated with the target population, registration information associated with the target population, and user information associated with the target population.

4. The data presentation method of claim 1, wherein, The method further comprises: receiving a relationship dimension switching instruction input by the user for the heavy passenger relationship graph; when the relationship dimension switching instruction is a heavy passenger relationship only instruction, only the heavy passenger relationship and the heavy passenger relationship summary data in the heavy passenger relationship graph are output when the heavy passenger relationship graph is output; when the relationship dimension switching instruction is a friend relationship only instruction, only the friend relationship and the friend relationship summary data in the heavy passenger relationship graph are output when the heavy passenger relationship graph is output.

5. A data presentation device, characterized by The data display device comprises: a receiving unit configured to receive a data display instruction input by a user; a determining unit configured to determine a target population according to the data display instruction; an obtaining unit configured to obtain a correlation data set of the target population; an extracting unit configured to extract heavy passenger user information and friend user information associated with the heavy passenger user information from the correlation data set according to a preset data processing rule; the heavy passenger user information is user information of a business representative or an agent, and the friend user information is user information of a heavy passenger client; a constructing unit configured to construct a heavy passenger relationship graph according to the heavy passenger user information and the friend user information; an outputting unit configured to output the heavy passenger relationship graph; wherein the constructing unit comprises: a second determining subunit configured to determine a business relationship between a heavy passenger and a friend, a heavy passenger relationship, and a friend relationship according to the heavy passenger user information and the friend user information. A second obtaining sub-unit is configured to obtain service relationship summary data corresponding to the service relationship, heavy passenger relationship summary data corresponding to the heavy passenger relationship, and friend relationship summary data corresponding to the friend relationship according to the association data set; A constructing sub-unit is configured to construct a heavy passenger relationship graph with heavy passengers as branch nodes and friends as leaf nodes according to the service relationship, the heavy passenger relationship, the friend relationship, the service relationship summary data, the heavy passenger relationship summary data, and the friend relationship summary data.

6. The data presentation device of claim 5, wherein, The obtaining unit comprises: A first determining sub-unit is configured to determine user access authority corresponding to the data display instruction; A first obtaining sub-unit is configured to obtain an association data set of the target crowd according to the user access authority.

7. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory is configured to store a computer program, and the processor is configured to run the computer program to enable the electronic device to execute the data display method in any one of claims 1 to 4.

8. A readable storage medium, characterized by, The readable storage medium stores computer program instructions, and the computer program instructions are read and run by a processor to execute the data display method in any one of claims 1 to 4.

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