Talent multi-dimensional analysis application system

Abstract

The invention relates to the technical field of talent management, and discloses a talent multi-dimensional analysis application system which comprises a data layer, a business logic layer and a presentation layer. Wherein the data layer is used for collecting and storing talent data; the business logic layer is connected with the presentation layer and the data layer, and is used for responding to a user service request transmitted by the presentation layer, processing the user service request under the cooperation of the data layer, and returning a processed result to the presentation layer; and the presentation layer is used for visually presenting the service information so as to interact with the user, and presenting the talent multi-dimensional analysis information after interaction. According to the method, technologies of big data, cloud computing, artificial intelligence and the like are utilized, comprehensive, accurate and timely analysis of talent data can be digitally realized, the data management efficiency is improved, the processing and analysis requirements of the talent data are met, and powerful support is provided for leader decision making of enterprises and talent data application of professional departments and grassroots units.

Description

Technical Field

[0001] The present invention relates to the technical field of talent management, and in particular to a talent multi-dimensional analysis application system. Background Art

[0002] In today's fast-changing and rapidly developing knowledge economy, talent has become the core resource that all kinds of enterprises value and rely on the most. Unfortunately, however, the old traditional talent management model generally over-relies on the cumbersome process of manual recording, the limitations of table statistics and the lag of document reports. These methods are not only inefficient in processing talent data and difficult to keep up with the pace of the times, but also difficult to ensure the comprehensiveness, accuracy and timeliness of in-depth analysis of talent information.

[0003] With the booming development of big data technology, the widespread application of cloud computing platforms and the continuous breakthroughs in the field of artificial intelligence, enterprises have an increasingly urgent and strong demand for the mining, processing and in-depth analysis of talent data. Therefore, under the current situation, enterprises are in urgent need of a more efficient and intelligent talent management method to adapt to and lead the trend of this era of change.

[0004] The above information is presented as background information only to assist with understanding the present disclosure and no determination or admission is made as to whether any of the above may be used as prior art with respect to the present disclosure. Summary of the invention

[0005] The present invention provides a talent multi-dimensional analysis application system to solve the problems existing in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A talent multi-dimensional analysis application system includes a data layer, a business logic layer and a presentation layer; wherein:

[0008] The data layer is used to collect and store talent data;

[0009] The business logic layer is connected to the presentation layer and the data layer, and is used to respond to user service requests from the presentation layer, process the user service requests with the cooperation of the data layer, and return the processed results to the presentation layer;

[0010] The presentation layer is used to visually display service information to interact with users, and to display multi-dimensional talent analysis information after the interaction.

[0011] Furthermore, in the talent multi-dimensional analysis application system, the data layer includes a data extraction module, a data conversion module, a data loading module and a MySQL database;

[0012] The data extraction module is used to collect original talent data from various data sources;

[0013] The data conversion module is used to convert talent data in different formats into a unified format;

[0014] The data loading module is used to load the talent data after the conversion into the MySQL database based on the correspondence between the data source and the target configured in advance in the MySQL database.

[0015] Furthermore, in the talent multi-dimensional analysis application system, the business logic layer adopts the Spring Boot 2+MyBatis architecture.

[0016] Furthermore, in the talent multi-dimensional analysis application system, the business logic layer includes a data management module, a data analysis module and a user management module;

[0017] The data management module includes a data update submodule, a data backup submodule and a data recovery submodule;

[0018] The data analysis module includes a talent core indicator analysis submodule, a talent label analysis submodule and a certification statistics analysis submodule;

[0019] The user management module includes an account management submodule and a permission management submodule.

[0020] Furthermore, in the talent multi-dimensional analysis application system, the talent core indicator analysis submodule is used to analyze the talent core indicators in multiple dimensions;

[0021] The talent tag analysis submodule is used to analyze talent tags in multiple dimensions;

[0022] The certificate holding statistics analysis submodule is used to receive and review certificate holding declarations and perform certificate holding statistics analysis.

[0023] Furthermore, in the talent multi-dimensional analysis application system, the talent core indicators include technical skill job evaluation certification, professional title level, skill level and expert level.

[0024] Furthermore, in the talent multi-dimensional analysis application system, the talent tags include job sequence, job category, job work experience, job work years and special talents.

[0025] Furthermore, in the talent multi-dimensional analysis application system, the certificate statistical analysis includes monthly analysis of technical skill position certificate matching, analysis of skilled personnel certificate employment rate, expert position and professional matching analysis, and high-skilled talent ratio analysis.

[0026] Furthermore, in the talent multi-dimensional analysis application system, the presentation layer is implemented using JSP+Bootstrap, and JQuerytAjax is used as an interactive plug-in.

[0027] Furthermore, in the talent multi-dimensional analysis application system, the presentation layer includes a data visualization display module and a human-computer interaction module.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention provides a talent multi-dimensional analysis application system, which utilizes technologies such as big data, cloud computing, and artificial intelligence to digitally realize comprehensive, accurate, and timely analysis of talent data, thereby improving data management efficiency, meeting the needs for processing and analyzing talent data, and providing strong support for the talent data application of corporate leadership decision-making, professional departments, and grassroots units.

[0030] The present invention has other features and advantages, which will be apparent from or will be described in detail in the accompanying drawings and the following detailed description incorporated herein, which together serve to explain the specific principles of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 This is a functional module diagram of a talent multi-dimensional analysis application system provided by an embodiment of the present invention;

[0033] Figure 2 is a functional module diagram of a data management module provided by an embodiment of the present invention;

[0034] Figure 3 is a functional module schematic diagram of a data analysis module provided by an embodiment of the present invention;

[0035] Figure 4 It is a functional module diagram of a user management module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0037] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0038] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0039] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that three relationships may exist, for example, A and / or B, which means: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" logical relationship.

[0040] In the present application, terms such as “first” and “second” are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship of quantity, priority or sequence between these entities or operations.

[0041] Without further limitations, in this application, the words "include", "comprises", "has" or other similar expressions used in the sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those limited elements, but also other elements not explicitly listed, or also include elements inherent to such process, method or product.

[0042] In this application, expressions such as "greater than", "less than", "exceed" and the like are understood to exclude the number itself; expressions such as "above", "below", "within" and the like are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means more than two (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups", "multiple times", etc., unless otherwise clearly and specifically limited.

[0043] In the description of the embodiments of the present application, space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the referred device or component must have a specific position, a specific orientation, or be constructed or operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0044] Unless otherwise expressly specified or limited, in the description of the embodiments of the present application, the terms such as "install", "connect", "connect", "fix", "set", etc. used should be understood in a broad sense. For example, the "connection" can be a fixed connection, a detachable connection, or an integrated setting; it can be a mechanical connection, an electrical connection, or a communication connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For technicians in the technical field to which the present application belongs, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0045] In view of the defects of the above-mentioned prior art, the applicant, based on many years of rich practical experience and professional knowledge in this field, and in conjunction with the application of theory, actively conducts research and innovation in the hope of creating a technology that can solve the defects of the prior art. After continuous research and design, and after repeated trial production and improvement, the present invention with real practical value was finally created.

[0046] Please refer to Figure 1 The embodiment of the present invention provides a talent multi-dimensional analysis application system, including a data layer, a business logic layer and a presentation layer; wherein,

[0047] The data layer is used to collect and store talent data, providing a solid data foundation for the system;

[0048] The business logic layer, as a bridge connecting the data layer and the presentation layer, plays a vital role in responding to user service requests from the presentation layer, processing the user service requests based on the data support provided by the data layer, and returning the processed results to the presentation layer;

[0049] The presentation layer is a direct interface for users to interact with the system. It is used to display service information in an intuitive and visual way to interact with users, and to display multi-dimensional talent analysis information after the interaction, providing users with rich information references.

[0050] This embodiment deeply integrates cutting-edge technologies such as big data, cloud computing, and artificial intelligence, achieving comprehensive coverage, accurate analysis, and real-time updates of talent data, significantly improving the efficiency and quality of data management. This innovation not only fully meets the urgent needs of enterprises for in-depth processing and analysis of talent data, but also provides scientific and reliable data support for high-level decision-making, professional department operations, and talent management at the grassroots level. It is an important tool for promoting the implementation and optimization of corporate talent strategies.

[0051] Please refer again Figure 1 In one implementation of this embodiment, the data layer is further refined to include the following key components: a data extraction module, a data conversion module, a data loading module and a MySQL database.

[0052] The data extraction module focuses on collecting original, unprocessed talent data from a wide range of data sources, ensuring the comprehensiveness and diversity of the data.

[0053] The data conversion module is responsible for converting all types of talent data collected, regardless of their original format, into a standard format that the system can recognize and process. This step is the key to data integration, which ensures the accuracy and consistency of the data and lays a solid foundation for subsequent data analysis.

[0054] The data loading module efficiently loads the talent data after format conversion into the database based on the mapping relationship between the data source and the target set in advance in the MySQL database. This process not only realizes the storage of data, but also ensures the accessibility and queryability of the data, providing the necessary data support for the business logic layer.

[0055] In summary, through a series of processes including data extraction, conversion and loading, the data layer of this embodiment can effectively integrate and manage complex talent data from different channels, providing reliable data guarantee for subsequent multi-dimensional analysis and application.

[0056] Please refer again Figure 1In one implementation of this embodiment, the business logic layer adopts an advanced architecture system combining Spring Boot 2 and MyBatis.

[0057] Spring Boot 2, as a lightweight Java framework, greatly simplifies the development process of enterprise applications with its "convention over configuration" concept. It provides a wealth of built-in features, such as automatic configuration, independent operation, monitoring, and externalized configuration, allowing developers to focus on the implementation of business logic without paying too much attention to the underlying configuration and dependency management.

[0058] MyBatis is an excellent persistence layer framework that supports customized SQL, stored procedures, and advanced mapping. MyBatis maps objects to records in the database through XML or annotations, implementing the object-relational mapping (ORM) function. This mapping relationship enables developers to operate the database in an object-oriented manner, greatly improving development efficiency and code maintainability.

[0059] Combining Spring Boot 2 with MyBatis not only makes full use of the convenience of Spring Boot and the flexibility of MyBatis, but also realizes the efficient and stable operation of the business logic layer. This architecture system can quickly respond to user service requests from the presentation layer, efficiently process the data resources provided by the data layer, and accurately return the processing results to the presentation layer, thus providing users with a smooth and efficient service experience.

[0060] Please refer again Figure 1 , and combined with reference Figure 2-4 In one implementation of this embodiment, the business logic layer includes a data management module, a data analysis module and a user management module;

[0061] The data management module includes a data update submodule, a data backup submodule and a data recovery submodule;

[0062] The data analysis module includes a talent core indicator analysis submodule, a talent label analysis submodule and a certification statistics analysis submodule;

[0063] The user management module includes an account management submodule and a permission management submodule.

[0064] It should be noted that the data update submodule is responsible for monitoring changes in talent data in the data layer to ensure that the data in the business logic layer is always up to date. This includes functions such as real-time synchronization of data, incremental updates, and full updates.

[0065] Data backup submodule: Regularly back up the data in the MySQL database to prevent data loss or damage. The backup data can be stored in a local disk, cloud storage, or other secure and reliable storage media.

[0066] Data recovery submodule: In case of data loss or damage, use backup data for rapid recovery to ensure system continuity and stability.

[0067] User management module:

[0068] Account management submodule: responsible for operations such as creation, modification, deletion and password management of user accounts to ensure the security and availability of user accounts.

[0069] Permission management submodule: Assign corresponding system permissions to users based on their roles and responsibilities to ensure that users can only access and operate data and functions within their permissions, thereby ensuring the security and stability of the system.

[0070] The core function of the talent core indicator analysis submodule is to conduct a comprehensive and multi-angle analysis of the core indicators of talents. Specifically, these core indicators cover multiple dimensions such as technical skill post evaluation and certification status, professional title level classification, skill level evaluation, and expert level classification. Through in-depth analysis of these indicators, we can more accurately grasp the skill level, professional ability, and development potential of corporate talents, and provide strong data support for the company's talent strategy planning.

[0071] The talent label analysis submodule focuses on the detailed analysis of talent labels. Talent labels, as an intuitive reflection of talent characteristics, capabilities, experience, etc., are of various types, including but not limited to job sequence division, job category attribution, job work experience review, job work years statistics, and special talent identification. Through in-depth analysis of these labels, we can more clearly understand the composition characteristics, professional distribution, and advantageous areas of corporate talents, and provide scientific guidance for corporate job allocation, talent training, and career development.

[0072] The certification statistics and analysis submodule is mainly responsible for receiving and reviewing certification applications, and conducting statistical analysis of certification status on this basis. The work content of this module is extensive and in-depth, and its analysis dimensions include but are not limited to monthly analysis of technical skill position certification matching, analysis of skilled personnel certification employment rate, expert position and professional matching analysis, and high-skilled talent ratio analysis. Through statistical analysis of these data, it is possible to more accurately evaluate the certification status, professional skill level, and job matching of corporate talents, providing reliable data support for corporate qualification certification, project bidding, and talent training.

[0073] To sum up, through the collaborative work of the data management module, the data analysis module and the user management module, the business logic layer of this embodiment can efficiently process user service requests, provide accurate and timely data analysis and decision support, and provide strong technical support for the enterprise's talent management and development.

[0074] In one implementation of this embodiment, a combination of JSP (JavaServer Pages) and Bootstrap is used to construct the presentation layer, and an Ajax plug-in of JQuery is introduced to enhance the interactive experience between the user and the system.

[0075] JSP, as a dynamic web page technology standard, has powerful data presentation capabilities and seamless integration with Java technology, making it easy to achieve dynamic data display and interaction. Through JSP, data processed by the business logic layer can be presented to users in a variety of forms, such as tables, charts, lists, etc., greatly improving the readability and comprehensibility of data.

[0076] Bootstrap is an open source front-end framework that provides a complete set of HTML, CSS and JS tools for developing responsive layouts and mobile device-first WEB projects. By introducing Bootstrap, you can quickly build a beautiful, concise and easy-to-use user interface while ensuring that the interface can display well on different devices and screen sizes.

[0077] The Ajax plug-in of JQuery is an important bridge for users to interact with the system. Its asynchronous communication capability enables users to exchange and update data with the server without refreshing the entire page. This not only improves the user's operating experience, but also greatly improves the system's response speed and operating efficiency.

[0078] In summary, by using JSP+Bootstrap to implement the presentation layer and supplemented by JQuery's Ajax plug-in, this implementation example successfully builds a user interface that is both beautiful and practical, and has efficient interactive capabilities, providing users with a smooth and convenient operating experience.

[0079] Please refer again Figure 1 In one implementation of this embodiment, the presentation layer includes a data visualization display module and a human-computer interaction module.

[0080] It should be noted that the data visualization display module is dedicated to presenting the talent data processed by the business logic layer to users in an intuitive and vivid form. By using a variety of visualization methods such as charts, graphics, animations, etc., it can effectively convey the inherent laws and trends of the data, help users quickly capture key information, and improve the efficiency and accuracy of data interpretation. Whether it is the dynamic changes of core talent indicators, the distribution of talent labels, or the detailed results of certification statistics, they will all be presented clearly and intuitively in this module.

[0081] The human-computer interaction module focuses on building a bridge between users and the system, ensuring that users can interact with the system conveniently. By designing a friendly user interface and a smooth interaction process, it provides users with a wealth of operation options and feedback mechanisms. Users can easily query, filter, and export the required data, or initiate new data analysis and processing requests by clicking, dragging, and inputting. At the same time, the system will intelligently adjust the display content and interaction methods according to the user's operations and behaviors to provide a more personalized and considerate service experience.

[0082] In summary, through the collaborative work of the data visualization display module and the human-computer interaction module, the presentation layer of this implementation example successfully realizes the intuitive display of data and convenient interaction with users, providing users with an efficient and pleasant usage experience.

[0083] Although the terms application layer, data layer, etc. are used more frequently in this application, the possibility of using other terms is not excluded. These terms are used only to more conveniently describe and explain the essence of the present invention; interpreting them as any additional restrictions is contrary to the spirit of the present invention.

[0084] The embodiment of the present invention provides a talent multi-dimensional analysis application system, which utilizes technologies such as big data, cloud computing, and artificial intelligence to digitally realize comprehensive, accurate, and timely analysis of talent data, thereby improving data management efficiency, meeting the needs for processing and analyzing talent data, and providing strong support for the talent data application of corporate leadership decision-making, professional departments, and grassroots units.

[0085] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concept of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A talent multi-dimensional analysis application system, characterized in that: It includes data layer, business logic layer and presentation layer; among them, The data layer is used to collect and store talent data; The business logic layer is connected to the presentation layer and the data layer, and is used to respond to user service requests from the presentation layer, process the user service requests with the cooperation of the data layer, and return the processed results to the presentation layer; The presentation layer is used to visually display service information to interact with users, and to display multi-dimensional talent analysis information after the interaction.

2. The talent multi-dimensional analysis application system according to claim 1, characterized in that: The data layer includes a data extraction module, a data conversion module, a data loading module and a MySQL database; The data extraction module is used to collect original talent data from various data sources; The data conversion module is used to convert talent data in different formats into a unified format; The data loading module is used to load the talent data after the conversion into the MySQL database based on the correspondence between the data source and the target configured in advance in the MySQL database.

3. The talent multi-dimensional analysis application system according to claim 1 is characterized in that: The business logic layer adopts Spring Boot 2+MyBatis architecture.

4. The talent multi-dimensional analysis application system according to claim 1, characterized in that: The business logic layer includes a data management module, a data analysis module and a user management module; The data management module includes a data update submodule, a data backup submodule and a data recovery submodule; The data analysis module includes a talent core indicator analysis submodule, a talent label analysis submodule and a certification statistics analysis submodule; The user management module includes an account management submodule and a permission management submodule.

5. The talent multi-dimensional analysis application system according to claim 4 is characterized in that: The talent core indicator analysis submodule is used to analyze the talent core indicators in multiple dimensions; The talent tag analysis submodule is used to analyze talent tags in multiple dimensions; The certificate holding statistics analysis submodule is used to receive and review certificate holding declarations and perform certificate holding statistics analysis.

6. The talent multi-dimensional analysis application system according to claim 5, characterized in that: The core talent indicators include technical skill job evaluation certification, professional title level, skill level and expert level.

7. The talent multi-dimensional analysis application system according to claim 5, characterized in that: The talent labels include job sequence, job category, job work experience, job work years and special talents.

8. The talent multi-dimensional analysis application system according to claim 5, characterized in that: The certification statistical analysis includes monthly analysis of certification matching for technical and skilled positions, analysis of the certification employment rate for skilled personnel, analysis of matching between expert positions and professions, and analysis of the proportion of highly skilled talents.

9. The talent multi-dimensional analysis application system according to claim 1, characterized in that: The presentation layer is implemented using JSP+Bootstrap, with JQuerytAjax as an interactive plug-in.

10. The talent multi-dimensional analysis application system according to claim 1, characterized in that: The presentation layer includes a data visualization display module and a human-computer interaction module.

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