Enterprise data display method and device, computer equipment, readable storage medium and program product
By screening and related enterprise managers' employment data and enterprise data, the problem of low efficiency and accuracy of enterprise data query in the existing technology is solved, and efficient and relevant enterprise data display is achieved.
Patent Information
- Application Number
- CN202411583965.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-07
- Publication Date
- 2025-02-11
AI Technical Summary
In the prior art, the enterprise data efficiency and accuracy required to query and evaluate enterprise managers is low, mainly due to the large size of enterprise data and the dispersed storage.
By obtaining the employment data of the target personnel, determine their employment time range in the target enterprise, obtain enterprise data from multiple data sources, filter out the data of the target enterprise within the employment time range, and establish an association between the data of the target enterprise and the target personnel. , and display the data on the preset page.
It achieves rapid integration and display of target enterprise data, improves the efficiency of data query, and ensures the relevance and timeliness of enterprise data used during evaluation.
Smart Images

Figure CN119415755A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data processing technology, and in particular to an enterprise data display method, device, computer equipment, computer-readable storage medium and computer program product. Background Art
[0002] Evaluation of personnel usually requires querying and analyzing multiple data. For example, in the approval process of financial services, it is necessary to query personnel's credit data, resource interaction records, etc. In the process of background investigation, it is necessary to query personnel's basic information, litigation information, etc.
[0003] When evaluating corporate managers, it is also necessary to comprehensively consider their overall influence on the company and the effectiveness of decision-making. However, due to the large volume of corporate data and its decentralized storage (for example, various types of data are usually stored in different platforms or systems), the efficiency and accuracy of querying the corporate data required to evaluate corporate managers in related technologies are low. Summary of the invention
[0004] Based on this, it is necessary to provide an enterprise data display method, device, computer equipment, computer-readable storage medium and computer program product to address the above technical problems, which can improve the efficiency and accuracy of enterprise data required for querying and evaluating enterprise managers.
[0005] In a first aspect, the present application provides a method for displaying enterprise data, comprising:
[0006] Obtaining the employment data of the target personnel, and determining the employment time range of the target personnel in the target enterprise based on the employment data;
[0007] Acquire enterprise data of the target enterprise from multiple data sources, and filter out target enterprise data within the tenure time range from the enterprise data, and establish a first association relationship between the target enterprise data and the target person;
[0008] In response to the evaluation request for the target person, based on the first association relationship, the target enterprise data is displayed on a preset page.
[0009] In one embodiment, the preset page includes a timeline component, and displaying the target enterprise data on the preset page includes:
[0010] Based on the employment time range, updating display data of the timeline component in the preset page;
[0011] After the target enterprise data is time-series processed, the target enterprise data is displayed in an adjacent area of the timeline component.
[0012] In one embodiment, the target person's employment data includes the target person's employment data in multiple target companies, and after displaying the target company data on the preset page, the following steps are included:
[0013] Based on the employment data, determining the employment status identifiers corresponding to the multiple target enterprises; the employment status identifiers include a resignation status identifier / an employment status identifier;
[0014] The position status identifiers corresponding to the multiple target enterprises are respectively displayed in adjacent areas of the business data of the multiple target enterprises.
[0015] In one embodiment, the enterprise data includes enterprise judicial data, and after acquiring the enterprise data of the target enterprise from multiple data sources, the method further includes:
[0016] Determining the occurrence time of a target event associated with the target enterprise based on the enterprise judicial data in the enterprise data;
[0017] In the case where the occurrence time falls within the employment period, a second association relationship is established between the target event and the target person; the second association relationship is used to display a description text of the target event on a preset page.
[0018] In one embodiment, the enterprise data includes enterprise resource data, and the target enterprise data within the tenure time range is selected from the enterprise data, and a first association relationship is established between the target enterprise data and the target person, and then the following steps are included:
[0019] Performing time domain analysis on the target enterprise data to obtain an analysis result of the impact of the target personnel on the target enterprise;
[0020] A third association relationship is established between the impact analysis result of the target enterprise and the target person; the third association relationship is used to display the impact analysis result of the target enterprise on a preset page.
[0021] In one embodiment, after acquiring the enterprise data of the target enterprise from multiple data sources, the method further includes:
[0022] The enterprise data is preprocessed; the preprocessing method at least includes: performing consistency verification on the enterprise data from different data sources.
[0023] In a second aspect, the present application also provides an enterprise data display device, including:
[0024] A time range determination module is used to obtain the employment data of the target personnel and determine the employment time range of the target personnel in the target enterprise based on the employment data;
[0025] An association relationship establishment module is used to obtain enterprise data of the target enterprise from multiple data sources, and filter out target enterprise data within the employment time range from the enterprise data, and establish a first association relationship between the target enterprise data and the target person;
[0026] A data display module is used to respond to an evaluation request for the target person and display the target enterprise data on a preset page based on the first association relationship.
[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above-described methods when executing the computer program.
[0028] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of any of the methods described above when executed by a processor.
[0029] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of any of the methods described above when executed by a processor.
[0030] The above-mentioned enterprise data display method, device, computer equipment, computer-readable storage medium and computer program product, by obtaining enterprise data from multiple data sources, ensure the comprehensiveness of enterprise data and avoid information bias caused by a single data source; by pre-screening target enterprise data related to the target personnel's tenure range from the obtained enterprise data, and establishing an association relationship between the target enterprise data and the target personnel, it is possible to respond to an evaluation request for the target personnel and quickly integrate and display the target enterprise data based on the association relationship, thereby improving the efficiency of data query and ensuring the relevance and timeliness of the enterprise data used in the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0032] FIG1 is an application environment diagram of an enterprise data display method in one embodiment;
[0033] FIG2 is a schematic diagram of a process flow of a method for displaying enterprise data in one embodiment;
[0034] FIG3 is a flowchart of steps for displaying target enterprise data on a preset page in one embodiment;
[0035] FIG4 is a schematic diagram of a process flow of a method for displaying enterprise data in another embodiment;
[0036] FIG5 is a flow chart of a method for displaying enterprise data in yet another embodiment;
[0037] FIG6 is a flow chart of a method for displaying enterprise data in yet another embodiment;
[0038] FIG7 is a structural block diagram of an enterprise data display device in one embodiment;
[0039] FIG. 8 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0040] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0041] The enterprise data display method provided in the embodiment of the present application can be applied to the application environment shown in Figure 1. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 can obtain the position data of the target personnel, and based on the position data, determine the time range of the target personnel in the target enterprise; obtain the enterprise data of the target enterprise from multiple data sources, and filter out the target enterprise data within the time range of the position from the enterprise data, and establish a first association relationship between the target enterprise data and the target personnel; in response to the evaluation request of the terminal 102 for the target personnel, based on the first association relationship, display the target enterprise data on a preset page. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head mounted device may be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.
[0042] In an exemplary embodiment, as shown in FIG2 , a method for displaying enterprise data is provided, which is described by taking the method applied to the server 104 in FIG1 as an example, and includes the following steps S202 to S206 . Among them:
[0043] Step S202, obtaining the position data of the target person, and determining the position time range of the target person in the target enterprise based on the position data.
[0044] Among them, the target personnel to be evaluated can be associated with the target enterprise. For example, the target personnel to be evaluated can be a director, supervisor or senior manager of the target enterprise. Exemplarily, the server 104 can obtain the target personnel's employment data from multiple data sources such as the enterprise's business registration information, enterprise announcements, and job change records. The target personnel's employment data may include the name, position, employment start time, and employment end time of the target enterprise. It is understandable that the target personnel can be associated with multiple target enterprises. The target personnel's employment time range in each target enterprise may be different. In a possible implementation, time series processing technology can be used to ensure the accuracy of each employment time range and avoid information conflicts or omissions.
[0045] Step S204, obtaining enterprise data of the target enterprise from multiple data sources, and filtering out target enterprise data within the tenure time range from the enterprise data, and establishing a first association relationship between the target enterprise data and the target personnel.
[0046] Among them, multiple data sources can be used to obtain enterprise data of multiple dimensions. For example, enterprise data includes but is not limited to enterprise judicial data, enterprise resource data, enterprise operation data (e.g., operation behavior data, operation status data), enterprise credit data (e.g., default records, credit ratings), etc.
[0047] Exemplarily, the enterprise data may correspond to time information, and the server 104 may filter out the target enterprise data from the enterprise data of each target enterprise according to the determined time range of the target personnel in each target enterprise, and establish a first association relationship between the target enterprise data and the target personnel.
[0048] Step S206: In response to the evaluation request for the target person, based on the first association relationship, the target enterprise data is displayed on a preset page.
[0049] For example, in response to receiving the evaluation request for the target person sent by the terminal, the server 104 may integrate the screened target enterprise data according to the first association relationship and display it in a preset page. For example, the preset page may be an interactive interface for displaying a personal resume.
[0050] In the above-mentioned enterprise data display method, by acquiring enterprise data from multiple data sources, the comprehensiveness of enterprise data is ensured, and information bias caused by a single data source is avoided; by pre-screening target enterprise data related to the target personnel's tenure range from the acquired enterprise data, and establishing an association relationship between the target enterprise data and the target personnel, it is possible to respond to an evaluation request for the target personnel and quickly integrate and display the target enterprise data based on the association relationship, thereby improving the efficiency of data query and ensuring the relevance and timeliness of the enterprise data used in the evaluation.
[0051] In an exemplary embodiment, the preset page may include a timeline component, as shown in FIG3 , and the step of displaying the target enterprise data on the preset page may include:
[0052] Step A1, based on the tenure time range, updating the display data of the timeline component in the preset page;
[0053] Step A2: After performing time series processing on the target enterprise data, the target enterprise data is displayed in an adjacent area of the timeline component.
[0054] Among them, the preset page may include a timeline component and a display area for enterprise data adjacent to the timeline component. The timeline component can be used to display time information corresponding to the enterprise data. Exemplarily, the server 104 can convert the data of the tenure time range into a format suitable for display by the timeline component, and use the front-end framework to update the converted time data as the display data of the timeline component to the preset page. The target enterprise data can then be sorted and classified, and the target enterprise data can be associated with the timeline component using the front-end data binding technology. When the user clicks or scrolls to a certain time point on the timeline component, the adjacent area will display the enterprise data corresponding to the time point. Each display data of the timeline component (which can be a time point or a time period) can correspond to an information card, and each information card can contain enterprise data for the corresponding time.
[0055] In this embodiment, by displaying enterprise data based on the timeline, it is possible to quickly and clearly present the changes in enterprise data required for evaluating target personnel over time, thereby facilitating analysis of the role and influence of target personnel in enterprise development from a long-term perspective and achieving rapid evaluation of target personnel in the time dimension.
[0056] In an exemplary embodiment, the target person's employment data may include the target person's employment data in multiple target companies. As shown in FIG4 , the above-mentioned company data display method may further include:
[0057] Step S2071, based on the employment data, determine the employment status identifiers corresponding to multiple target enterprises; the employment status identifier includes a resignation status identifier / an employment status identifier.
[0058] Step S2072, displaying the position status identifiers corresponding to the multiple target enterprises in adjacent areas of the business data of the multiple target enterprises respectively.
[0059] Exemplarily, the server 104 can extract the target person's employment status information in each target enterprise from the target person's employment data, determine the target person's employment status in each target enterprise, and generate a corresponding employment status identifier for each target enterprise. The employment status identifier can be implemented based on a string enumeration or an icon. Optionally, the target enterprise can also correspond to an operating status identifier. The operating status identifier can include deregistered / not deregistered.
[0060] In this embodiment, by responding to the evaluation request for the target person and displaying the position status of the target person in each target enterprise, it is possible to facilitate the evaluation of the influence of the target person in different enterprises and achieve a rapid evaluation of the target person in the enterprise dimension.
[0061] In an exemplary embodiment, the enterprise data may include enterprise judicial data. As shown in FIG5 , the enterprise data display method may further include:
[0062] Step S2051, based on the enterprise judicial data in the enterprise data, determine the occurrence time of the target event associated with the target enterprise.
[0063] Among them, corporate judicial data includes but is not limited to judicial documents, execution public information, etc.
[0064] Step S2052, when the occurrence time falls within the employment time range, a second association relationship is established between the target event and the target person; the second association relationship is used to display the description text of the target event on a preset page.
[0065] Exemplarily, the server 104 can extract event information related to the target enterprise from the enterprise judicial data. For example, legal litigation events, administrative penalty events, compliance inspection events and their occurrence time, event type and event description, etc. Then the target person's tenure time range can be compared with the extracted event occurrence time to determine whether the event occurred during the target person's tenure. If the event occurrence time is within the target person's tenure time range, the event is determined as a target event, and a second association relationship is established between the target event and the target person. The server 104 can respond to the evaluation request for the target person and display the description text of the target event on a preset page based on the second association relationship.
[0066] In this embodiment, by responding to an evaluation request for a target person and displaying the legal events of the enterprise during the target person's tenure, it is possible to facilitate the evaluation of the legal risks that the target person brings to the enterprise.
[0067] In an exemplary embodiment, the enterprise data may include enterprise resource data. As shown in FIG6 , the enterprise data display method may further include:
[0068] Step S2053, performing time domain analysis on the target enterprise data to obtain the analysis results of the impact of the target personnel on the target enterprise.
[0069] Step S2054, establishing a third association relationship between the impact analysis result of the target enterprise and the target personnel; the third association relationship is used to display the impact analysis result of the target enterprise on a preset page.
[0070] Exemplarily, the server 104 can filter out the target enterprise resource data within the tenure time range from the enterprise resource data, perform time domain analysis on the target enterprise resource data, and obtain the impact analysis result of the target personnel on the target enterprise. The server 104 can respond to the evaluation request for the target personnel and display the impact analysis result of the target enterprise on a preset page based on the third association relationship. The enterprise resource data includes but is not limited to financial statements, tax records, etc. The impact analysis result can include positive results / negative results.
[0071] In one possible implementation, the method of performing time domain analysis on target enterprise data may include: performing time series analysis on the screened target enterprise resource data, calculating changes in key resource indicators (e.g., revenue growth rate, profit margin, return on net assets, etc.) or changing trends in resource data.
[0072] Optionally, the results of the analysis of the impact of the target personnel on the target enterprise may be determined in combination with the business behaviors related to the target personnel (eg, investment behaviors, marketing behaviors, etc.).
[0073] In this embodiment, by responding to an evaluation request for a target person and displaying the quantitative data analysis results, it is possible to facilitate the evaluation of changes in the resources of the enterprise during the employment of the target person.
[0074] In an exemplary embodiment, the enterprise data display method may further include:
[0075] Step B, preprocessing the enterprise data; the preprocessing method at least includes: performing consistency check on the enterprise data from different data sources.
[0076] For example, the server 104 may use a data cleaning and matching algorithm to merge enterprise data from different data sources and import the cleaned data into a unified data warehouse. Standardization rules may be predefined on the server 104. Standardization rules may be used to ensure consistency of enterprise data from different data sources in terms of format, unit, timestamp, etc.
[0077] Optionally, the preprocessing method may also include: identifying and processing missing values and outliers to ensure the integrity and accuracy of the data.
[0078] In this embodiment, by performing consistency check on enterprise data, the analysis efficiency and accuracy of enterprise data from multiple data sources can be improved.
[0079] To sum up, in the above-mentioned enterprise data display method, by obtaining enterprise data from multiple data sources, the comprehensiveness of enterprise data is ensured, and information bias caused by a single data source is avoided; by pre-screening target enterprise data related to the target personnel's tenure range from the obtained enterprise data, and establishing an association relationship between the target enterprise data and the target personnel, it is possible to respond to an evaluation request for the target personnel and quickly integrate and display the target enterprise data based on the association relationship, thereby improving the efficiency of data query and ensuring the relevance and timeliness of the enterprise data used in the evaluation.
[0080] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0081] Based on the same inventive concept, the embodiment of the present application also provides an enterprise data display device for implementing the enterprise data display method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more enterprise data display device embodiments provided below can refer to the limitations of the enterprise data display method above, and will not be repeated here.
[0082] In an exemplary embodiment, as shown in FIG. 7 , an enterprise data display device 300 is provided, comprising: a time range determination module 301 , an association relationship establishment module 302 and a data display module 303 , wherein:
[0083] The time range determination module 301 is used to obtain the employment data of the target personnel and determine the employment time range of the target personnel in the target enterprise based on the employment data.
[0084] The association relationship establishment module 302 is used to obtain enterprise data of the target enterprise from multiple data sources, and filter out the target enterprise data within the tenure time range from the enterprise data to establish a first association relationship between the target enterprise data and the target person.
[0085] The data display module 303 is used to display the target enterprise data on a preset page based on the first association relationship in response to the evaluation request for the target person.
[0086] In one embodiment, the preset page may include a timeline component, and the data display module 303 is further used to:
[0087] Update the display data of the timeline component in the preset page based on the service time range;
[0088] After the target enterprise data is time-series processed, the target enterprise data is displayed in an adjacent area of the timeline component.
[0089] In one embodiment, the target person's employment data may include the target person's employment data in multiple target companies. The data display module 303 is further used to:
[0090] Based on the employment data, determine the employment status identification corresponding to multiple target enterprises; the employment status identification includes the resignation status identification / the employment status identification;
[0091] The position status identifiers corresponding to the multiple target enterprises are displayed in adjacent areas of the business data of the multiple target enterprises.
[0092] In one embodiment, the enterprise data may include enterprise judicial data, and the association relationship establishment module 302 is further used to:
[0093] Determine the occurrence time of a target event associated with the target enterprise based on the enterprise judicial data in the enterprise data;
[0094] When the occurrence time falls within the employment period, a second association relationship is established between the target event and the target person; the second association relationship is used to display a description text of the target event on a preset page.
[0095] In one embodiment, the enterprise data may include enterprise resource data, and the association relationship establishment module 302 is further used to:
[0096] Conduct time domain analysis on target enterprise data to obtain the impact analysis results of target personnel on target enterprises;
[0097] A third association relationship is established between the impact analysis results of the target enterprise and the target personnel; the third association relationship is used to display the impact analysis results of the target enterprise on a preset page.
[0098] In one embodiment, the association relationship establishing module 302 is further used to:
[0099] Preprocessing the enterprise data; the preprocessing method at least includes: performing consistency verification on the enterprise data from different data sources.
[0100] Each module in the above-mentioned enterprise data display device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.
[0101] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG8. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for displaying enterprise data is implemented.
[0102] Those skilled in the art will understand that the structure shown in FIG. 8 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.
[0103] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above methods when executing the computer program.
[0104] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above methods are implemented.
[0105] In one embodiment, a computer program product is provided, including a computer program, which implements the steps of the above methods when executed by a processor.
[0106] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0107] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0108] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0109] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A method for displaying enterprise data, characterized in that: The method comprises: Obtaining the employment data of the target personnel, and determining the employment time range of the target personnel in the target enterprise based on the employment data; Acquire enterprise data of the target enterprise from multiple data sources, and filter out target enterprise data within the tenure time range from the enterprise data, and establish a first association relationship between the target enterprise data and the target person; In response to the evaluation request for the target person, based on the first association relationship, the target enterprise data is displayed on a preset page.
2. The method according to claim 1, characterized in that The preset page includes a timeline component, and the displaying of the target enterprise data on the preset page includes: Based on the employment time range, updating display data of the timeline component in the preset page; After the target enterprise data is time-series processed, the target enterprise data is displayed in an adjacent area of the timeline component.
3. The method according to claim 1, characterized in that The target person's employment data includes the target person's employment data in multiple target companies. After displaying the target company data on the preset page, the following steps are included: Based on the employment data, determining the employment status identifiers corresponding to the multiple target enterprises; the employment status identifiers include a resignation status identifier / an employment status identifier; The position status identifiers corresponding to the multiple target enterprises are respectively displayed in adjacent areas of the business data of the multiple target enterprises.
4. The method according to claim 1, characterized in that: The enterprise data includes enterprise judicial data, and after acquiring the enterprise data of the target enterprise from multiple data sources, the following steps are included: Determining the occurrence time of a target event associated with the target enterprise based on the enterprise judicial data in the enterprise data; In the case where the occurrence time falls within the employment period, a second association relationship is established between the target event and the target person; the second association relationship is used to display a description text of the target event on a preset page.
5. The method according to claim 1, characterized in that: The enterprise data includes enterprise resource data, and the target enterprise data within the tenure time range is selected from the enterprise data, and a first association relationship between the target enterprise data and the target person is established, and then the following steps are included: Performing time domain analysis on the target enterprise data to obtain an analysis result of the impact of the target personnel on the target enterprise; A third association relationship is established between the impact analysis result of the target enterprise and the target person; the third association relationship is used to display the impact analysis result of the target enterprise on a preset page.
6. The method according to claim 1, characterized in that After acquiring the enterprise data of the target enterprise from multiple data sources, the method further includes: The enterprise data is preprocessed; the preprocessing method at least includes: performing consistency verification on the enterprise data from different data sources.
7. An enterprise data display device, characterized in that: The device comprises: A time range determination module is used to obtain the employment data of the target personnel and determine the employment time range of the target personnel in the target enterprise based on the employment data; An association relationship establishment module is used to obtain enterprise data of the target enterprise from multiple data sources, and filter out target enterprise data within the employment time range from the enterprise data, and establish a first association relationship between the target enterprise data and the target person; A data display module is used to respond to an evaluation request for the target person and display the target enterprise data on a preset page based on the first association relationship.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.