CN112396550A - Construction management method of intelligent business inviting platform - Google Patents
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Abstract
The application provides a construction management method of an intelligent business inviting platform, which comprises the following steps: obtaining data related to intelligent solicitation; classifying and storing the data related to the intelligent recruiter; acquiring enterprise basic information of an intention enterprise; analyzing the enterprise basic information of the intention enterprise, and adding a level label to the intention enterprise according to the analysis result; storing the enterprise basic information of the intention enterprise in a corresponding intention enterprise database according to the level label; and performing integrated analysis on the data in each intention enterprise database to obtain an integrated analysis result. The intelligent business recruitment platform constructed and managed by the construction management method can acquire the enterprise basic information of the intention enterprise and perform integrated analysis on the enterprise basic information of the intention enterprise, is favorable for business recruitment management departments to configure and adjust the industrial structure and business recruitment targets according to the integrated analysis result, and is favorable for quick decision making in a park, so that the business recruitment efficiency is improved.
Description
Technical Field
The application relates to the technical field of intelligent business recruitment, in particular to a construction management method of an intelligent business recruitment platform.
Background
With the development of internet technology and the advent of the big data era, the concept of intelligent solicitation comes. Wisdom business recruitment is a new field of wisdom city application, and wisdom business recruitment has never left wisdom business recruitment platform, and industry garden etc. mostly passes through wisdom business recruitment platform and accomplishes the business recruitment work to the enterprise. Most of the existing intelligent business inviting platforms only provide business inviting related information for enterprises, but cannot acquire basic information of the intentional enterprises, so that information integration analysis can not be performed on the intentional enterprises, fast decision making of a park is not facilitated, and business inviting efficiency is influenced. Therefore, the present application provides a method for constructing and managing an intelligent soliciting platform to solve the above problems.
Disclosure of Invention
The application aims to solve the problems and provide a construction management method of an intelligent enrollment platform.
The application provides a construction management method of an intelligent business inviting platform, which comprises the following steps:
obtaining data related to intelligent solicitation;
classifying and storing the data related to the intelligent recruiter;
acquiring enterprise basic information of an intention enterprise;
analyzing the enterprise basic information of the intention enterprise, and adding a level label to the intention enterprise according to the analysis result;
storing the enterprise basic information of the intention enterprise in a corresponding intention enterprise database according to the level label;
and performing integrated analysis on the data in each intention enterprise database to obtain an integrated analysis result.
Preferably, the data related to the intelligent recruiter comprises recruiter information and campus three-dimensional information; the three-dimensional information of the garden comprises garden position information, plot information in the garden and enterprise distribution information in the garden; the business recruitment information comprises industry planning information, business recruitment policy information and enterprise enrollment guidance information; wherein the recruiter policy information comprises tax policy information, industry policy information, and talent policy information.
Preferably, the classified storage of the data related to the intelligent recruiter specifically includes:
carrying out duplicate removal processing on data related to the intelligent recruiter to obtain data subjected to duplicate removal processing;
removing the data after the duplicate removal processing to remove the data with incorrect data format or irregular coding in the data after the duplicate removal processing to obtain compliant data;
dividing the processed data related to the intelligent recruiter into two types, namely recruiter information data and park three-dimensional information data;
and storing the classified data to a corresponding data base of the tendering platform.
Preferably, the acquiring of the enterprise basic information of the intended enterprise specifically includes:
sending intention solicitation information to the enterprise logged in the intelligent tendering platform;
judging whether the enterprise has the current residence intention according to intention solicitation information fed back by the enterprise;
if the enterprise has the current residence intention, sending an enterprise basic information registration form to the enterprise to acquire enterprise basic information of the intention enterprise;
and if the enterprise does not have the current residence intention, sending an opinion feedback information table to the enterprise to acquire the opinion feedback information of the unintended enterprise.
Preferably, the enterprise basic information includes industry and commerce information, income tax information, financial information, intellectual property information, administrative penalty information and entrance expectation information.
Preferably, the analyzing the enterprise basic information of the intended enterprise and adding a level tag to the intended enterprise according to the analysis result specifically includes:
extracting information to be matched from enterprise basic information of an intention enterprise;
matching and analyzing the extracted information to be matched with preset information of the park commercial attraction;
and setting a matching level for the intention enterprise according to the matching analysis result, and adding a level label corresponding to the matching level for the intention enterprise.
Preferably, the matching levels set for the intended enterprise include three levels, a low matching level, a medium matching level and a high matching level, and accordingly, the level tags include a low matching level tag, a medium matching level tag and a high matching level tag.
Compared with the prior art, the beneficial effect of this application: the intelligent business inviting platform constructed and managed by the construction management method of the intelligent business inviting platform can provide business inviting related information for enterprises, can acquire enterprise basic information of the intention enterprises according to the intention of the enterprises, and performs integrated analysis on the enterprise basic information of the intention enterprises, and business inviting management departments can scientifically, reasonably and efficiently configure and adjust industrial structures and business inviting targets according to integrated analysis results, so that rapid decision making in a park is facilitated, and the business inviting efficiency is improved.
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Fig. 1 is a schematic flowchart illustrating a method for building and managing an intelligent solicitation platform according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating an embodiment of step S200 shown in FIG. 1;
FIG. 3 is a flowchart illustrating an implementation of step S300 in FIG. 1;
fig. 4 is a flowchart illustrating an implementation of step S400 in fig. 1.
Detailed Description
The following detailed description of the present application is given for the purpose of enabling those skilled in the art to better understand the technical solutions of the present application, and the description in this section is only exemplary and explanatory, and should not be taken as limiting the scope of the present application in any way.
The present embodiment provides a method for building and managing an intelligent recruiter platform, as shown in fig. 1, which is a schematic flow chart of the method for building and managing the intelligent recruiter platform, and the method for building and managing the intelligent recruiter platform includes:
and S100, acquiring data related to the intelligent recruiter.
The data related to the intelligent recruiter comprises recruiter information and park three-dimensional information; the three-dimensional information of the garden comprises garden position information, plot information in the garden and enterprise distribution information in the garden; the business recruitment information comprises industry planning information, business recruitment policy information and enterprise enrollment guidance information; the recruiting policy is mainly used for showing relevant policies to the recruited enterprise, and the recruiting policy information comprises tax policy information, industry policy information and talent policy information.
S200, classified storage is carried out on the data related to the intelligent recruiter.
Referring to fig. 2, preferably, step S200 specifically includes:
s201, carrying out duplicate removal processing on data related to intelligent solicitation to obtain data subjected to duplicate removal processing;
s202, removing the data subjected to the duplicate removal processing, and removing data with an incorrect data format or irregular coding in the data subjected to the duplicate removal processing to obtain compliant data;
s203, dividing the processed data related to the intelligent recruiter into two types, namely the recruiter information data and the garden three-dimensional information data;
and S204, storing the classified data to a corresponding data base of the recruiter platform.
And building corresponding modules of the intelligent business inviting platform according to the business inviting platform database, wherein the modules are a three-dimensional display module and a business inviting information module respectively. The information data contained in the three-dimensional display module and the recruiting information module can be updated and displayed on the intelligent recruiting platform in real time.
The soliciter information module mainly provides the release and management of the soliciter information. Meanwhile, the module can also provide information management of the recruiter projects and investors in different stages, and can provide functions of mobile terminal recruiting and on-line customer service. The mobile terminal soliciter can send the soliciter information to the preset target mobile client in real time, and the on-line customer service function can solve the question of the client in real time or in a message mode.
Such as: the investment cost is a relatively concerned content of an enterprise, and mainly comprises information of water and gas prices (domestic water, industrial and commercial water, special industrial water, civil natural gas, industrial and commercial natural gas and industrial steam), reference land prices (business and industry), sale electricity prices (domestic electricity, general industrial and commercial electricity, large-scale industrial electricity and agricultural production electricity) and the like, and the information can be displayed in a chart form.
And the three-dimensional display module displays the three-dimensional information of the park. The three-dimensional information of the garden comprises garden position information, plot information in the garden, enterprise distribution information in the garden and the like.
The three-dimensional display module mainly provides general introduction of the park and can display the whole scene and various tenderers in an enlarging, reducing, rotating and roaming manner and in different viewing angles and different browsing manners. The carrier can also be used for inquiring detailed information of the carrier, statistics of existing resident enterprises of the carrier, inquiry of distribution conditions of enterprises on each floor, inquiry of the existing idle area of the carrier and the like. The module can also provide a plot query function, can query the detailed information of the proposed plot, and is convenient for investors to know the relevant information in advance. Meanwhile, the park space information can be acquired through system docking, information input and other modes, the park space information comprises information such as the area of a park rented place, a rent range, a park address and matched resource facilities around the place, the park places are classified according to the park area size and the rent range, and park information of different area levels and different rent levels is displayed in a classified mode.
In addition, based on the park data resources, the energy consumption data of the parks in the area can be acquired in real time, and the park energy consumption values including water energy, electric energy and total energy consumption are dynamically displayed for users in real time. The energy consumption data of the park can be statistically analyzed according to multiple dimensions such as time dimension, water energy, electric energy, total energy consumption and the like. The relevant information of actual employment personnel of enterprises in the garden can be obtained by butting relevant department information such as a city office, a city housing public accumulation fund and the like; the environmental protection data of enterprises can be acquired by butting a relevant system of an environmental protection bureau, the enterprise address is matched with the garden address, the environmental protection condition of the whole garden is analyzed, a threshold value is set, and if the environmental protection frequency does not reach the standard exceeds the threshold value, the system sends an early warning notice to the garden; the system can also acquire enterprise safety production data by butting a municipal safety supervision bureau, match the enterprise address with the garden address, analyze the safety production condition of the whole garden, set a threshold value, and send out an early warning notice to the garden if the unqualified times of safety production exceeds the threshold value.
In addition, a basic operation module can be set up for the intelligent recruiter platform, and the basic operation module mainly provides common functions in recruiter management in the form of a tool bar, and comprises the functions of rapid navigation, vacant house query, resident enterprise query, illumination simulation and the like.
S300, acquiring enterprise basic information of the intention enterprise.
A specific analysis decision module is built for the intelligent business inviting platform so as to achieve the aims of acquiring the basic information of the enterprise with the intention and performing information integration analysis on the enterprise with the intention. The analysis decision module is provided with a corresponding analysis decision database.
Referring to fig. 3, preferably, step S300 specifically includes:
s301, sending intention solicitation information to the enterprise.
When the intelligent business soliciting platform for enterprise browsing is detected, the analysis and decision module sends opinion solicitation information to the enterprise, and particularly can be realized in a popup mode, if the enterprise has an intention, the popup can select an agreement to indicate that the enterprise currently has the intention of residing, and if the enterprise selects a rejection, the enterprise currently does not have the intention of residing.
S302, judging whether the enterprise currently has the parking intention according to the intention solicitation information fed back by the enterprise.
And S303, if the enterprise currently has the residence intention, sending an enterprise basic information registration form to the enterprise to acquire enterprise basic information of the intention enterprise.
When the enterprise currently has the resident intention, an enterprise basic information registration form is sent to the enterprise, and the intention enterprise fills the basic information of the intention enterprise on the blank enterprise basic information registration form. The enterprise basic information comprises industrial and commercial information, income value tax information, financial information, intellectual property information, administrative penalty information and entrance expectation information. The enterprise basic information registration table is stored in an analysis decision database corresponding to the analysis decision module.
S304, if the enterprise does not have the intention to be resident currently, sending an opinion feedback information table to the enterprise to acquire opinion feedback information of the unintended enterprise.
The opinion feedback information table contains reasons why the unintended business is unwilling to stay, opinion suggestions to the campus recruiter, and the like.
S400, analyzing the enterprise basic information of the intention enterprise, and adding a level label to the intention enterprise according to the analysis result.
Referring to fig. 4, preferably, step S400 specifically includes:
s401, extracting information to be matched from the enterprise basic information of the intention enterprise.
The information to be matched at least comprises financial information, income value tax information and parking expectation information.
S402, the analysis decision module performs matching analysis on the extracted information to be matched and preset information of the park commercial attraction.
The preset information of the park recruitment is information set in advance by the park recruitment, and comprises requirements on finance, income value, tax and the like of a target enterprise. The step is used for comparing and analyzing the extracted information to be matched with preset information of the park commercial attraction.
And S403, setting a matching level for the intention enterprise according to the matching analysis result, and adding a level label corresponding to the matching level for the intention enterprise.
In this embodiment, the matching levels set for the intended enterprise include three levels, namely, a low matching level, a medium matching level, and a high matching level, and accordingly, the level tags include a low matching level tag, a medium matching level tag, and a high matching level tag.
For example, when the matching degree of each item of information of the intended enterprise with preset information of a campus sponsor is high, and the matching degree of the expected information of the intended enterprise with the parking conditions that can be actually provided by the campus is high, the intended enterprise is set to a high matching level.
And S500, storing the enterprise basic information of the intention enterprise in a corresponding intention enterprise database according to the level tag.
The intention enterprise database comprises three sub-databases corresponding to the level tags, and the three sub-databases are respectively used for storing enterprise basic information of the intention enterprise having the corresponding level tags.
S600, integrating and analyzing the data in the intention enterprise database to obtain an integrated analysis result.
The integrated analysis process comprises the analysis of the quantity of the intention enterprises in each sub-database in the intention enterprise database, for example, when the number of the enterprises in the sub-database corresponding to the tags with high matching level is too small and the number of the enterprises in the sub-database corresponding to the tags with low matching level is too large, the analysis and decision module gives a suggestion for adjusting the preset information of the district recruitment business, so that the management department of the recruitment business can scientifically, reasonably and efficiently configure and adjust the industrial structure and the goal of the recruitment business, and the quick decision of the district is facilitated, thereby being beneficial to improving the efficiency of the recruitment business.
The intelligent business recruitment platform is constructed and managed, besides relevant business recruitment information can be provided for enterprises, enterprise basic information of the enterprise can be obtained according to enterprise intentions, the enterprise basic information of the enterprise intentions can be integrated and analyzed, and business recruitment management departments can scientifically, reasonably and efficiently configure and adjust industrial structures and business recruitment targets according to integrated and analyzed results, so that rapid decision making of gardens is facilitated, and improvement of business recruitment efficiency is facilitated.
The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. The foregoing is only a preferred embodiment of the present application, and it should be noted that there are no specific structures which are objectively limitless due to the limited character expressions, and it will be apparent to those skilled in the art that a plurality of modifications, decorations or changes can be made without departing from the principle of the present invention, and the technical features mentioned above can be combined in a suitable manner; such modifications, variations, combinations, or adaptations of the invention in other instances, which may or may not be practiced, are intended to be within the scope of the present application.
Claims (7)
1. A construction management method of an intelligent recruiter platform is characterized by comprising the following steps:
obtaining data related to intelligent solicitation;
classifying and storing the data related to the intelligent recruiter;
acquiring enterprise basic information of an intention enterprise;
analyzing the enterprise basic information of the intention enterprise, and adding a level label to the intention enterprise according to the analysis result;
storing the enterprise basic information of the intention enterprise in a corresponding intention enterprise database according to the level label;
and performing integrated analysis on the data in each intention enterprise database to obtain an integrated analysis result.
2. The intelligent recruiter platform of claim 1, wherein the data related to the intelligent recruiter comprises recruiter information and campus three-dimensional information; the three-dimensional information of the garden comprises garden position information, plot information in the garden and enterprise distribution information in the garden; the business recruitment information comprises industry planning information, business recruitment policy information and enterprise enrollment guidance information; wherein the recruiter policy information comprises tax policy information, industry policy information, and talent policy information.
3. The method for building and managing the intelligent recruiter platform according to claim 1, wherein the classifying and storing the data related to the intelligent recruiter comprises:
carrying out duplicate removal processing on data related to the intelligent recruiter to obtain data subjected to duplicate removal processing;
removing the data after the duplicate removal processing to remove the data with incorrect data format or irregular coding in the data after the duplicate removal processing to obtain compliant data;
dividing the processed data related to the intelligent recruiter into two types, namely recruiter information data and park three-dimensional information data;
and storing the classified data to a corresponding data base of the tendering platform.
4. The method for building and managing an intelligent recruiter platform according to claim 1, wherein the step of obtaining enterprise basic information of an intended enterprise comprises:
sending intention solicitation information to the enterprise;
judging whether the enterprise has the current residence intention according to intention solicitation information fed back by the enterprise;
if the enterprise has the current residence intention, sending an enterprise basic information registration form to the enterprise to acquire enterprise basic information of the intention enterprise;
and if the enterprise does not have the current residence intention, sending an opinion feedback information table to the enterprise to acquire the opinion feedback information of the unintended enterprise.
5. The intelligent business platform of claim 1, wherein the enterprise basic information includes industry and commerce information, income value tax information, financial information, intellectual property information, administrative penalty information and entrance expectation information.
6. The method for building and managing an intelligent recruiter platform according to claim 1, wherein analyzing the basic enterprise information of the intended enterprise and adding a level label to the intended enterprise according to the analysis result comprises:
extracting information to be matched from enterprise basic information of an intention enterprise;
matching and analyzing the extracted information to be matched with preset information of the park commercial attraction;
and setting a matching level for the intention enterprise according to the matching analysis result, and adding a level label corresponding to the matching level for the intention enterprise.
7. The intelligent recruiter platform of claim 6, wherein the matching levels set for the interested enterprise comprise three levels, namely a low matching level, a medium matching level and a high matching level, and the level tags comprise a low matching level tag, a medium matching level tag and a high matching level tag.
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| CN113822364A (en) * | 2021-09-28 | 2021-12-21 | 北京沃东天骏信息技术有限公司 | Data processing method and device and storage medium |
| CN115761059A (en) * | 2022-12-14 | 2023-03-07 | 浙江中博信息工程有限公司 | BIM-based park space management system |
| CN116383511A (en) * | 2023-05-29 | 2023-07-04 | 四川邕合科技有限公司 | Method, system, terminal and medium for recommending campus recruits based on industry chain analysis |
| CN116777512A (en) * | 2023-04-04 | 2023-09-19 | 深圳市明源云科技有限公司 | Park site selection method and device, electronic equipment and readable storage medium |
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