CN112487105A - Construction method of enterprise portrait - Google Patents
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Abstract
The application provides a construction method of an enterprise portrait, which comprises the following steps: acquiring data related to an enterprise portrait; preprocessing data related to the enterprise portrait to obtain preprocessed data; classifying the preprocessed data according to the enterprise portrait label policy table; storing the classified data to a corresponding enterprise information database; acquiring family relation identification data from each enterprise information database; the family relationship identification data comprises the identity information data of legal representatives, investors, financial responsible persons and tax payers of the enterprise; acquiring basic information data of related family enterprises according to the family relationship identification data, and establishing an enterprise family relationship database; and constructing the enterprise portrait according to the data in the enterprise family relationship database and the data in each enterprise information database. The method and the device solve the problem that the target enterprise cannot be found smoothly only by basic information in the prior art.
Description
Technical Field
The application relates to the technical field of internet, in particular to a construction method of an enterprise portrait.
Background
With the advent of the big data age, the concept of enterprise portrait became more and more. The enterprise portrait describes multi-dimensional enterprise information data and enterprise portrait, which is not only beneficial for the enterprises to know the conditions of the enterprises more clearly and more comprehensively, but also beneficial for government decision-making departments to gather and analyze the enterprises according to industries, regions and the like, thereby being convenient for knowing the current conditions of the industries and analyzing the regional economic conditions, and further adopting corresponding measures to promote economic development. Therefore, the construction of the enterprise portrait is particularly important. However, the enterprise image constructed by the conventional method can only reflect the basic information of the enterprise itself, and sometimes the target enterprise cannot be found successfully only by the basic information. Therefore, there is a need for a method for constructing an enterprise portrait to solve the above problems.
Disclosure of Invention
The present application aims to solve the above problems and provide a method for constructing an enterprise portrait.
The application provides a construction method of an enterprise portrait, which comprises the following steps:
acquiring data related to an enterprise portrait;
preprocessing the data related to the enterprise portrait to obtain preprocessed data;
classifying the preprocessed data according to an enterprise portrait label policy table;
storing the classified data to a corresponding enterprise information database;
acquiring family relation identification data from each enterprise information database; the family relationship identification data comprises the identity information data of legal representatives of the enterprise, investors, financial responsible persons and tax payers;
acquiring basic information data of related family enterprises according to the family relationship identification data, and establishing an enterprise family relationship database;
and constructing an enterprise portrait according to the data in the enterprise family relationship database and the data in each enterprise information database.
Preferably, the data relating to the representation of the enterprise comprises: unit basic information, equity structure, marketing information, national height information, practitioner condition, unit financial condition, intellectual property, unit scientific research activity, and government funded condition.
Preferably, the preprocessing the data related to the enterprise portrait to obtain the preprocessed data specifically includes:
carrying out deduplication processing on the data related to the enterprise portrait to obtain deduplicated data;
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;
and screening the compliance data according to the enterprise portrait label policy table to obtain preprocessed data.
Preferably, the enterprise portrait label policy table includes seven enterprise portrait dimensions, which are respectively an industry dimension, a time dimension, a belonging industry dimension, a high-level talent number dimension, an income scale dimension, a tax payment scale dimension, and a policy support dimension.
Preferably, the identity information data includes name, gender, age, academic calendar, certificate type and certificate number.
Preferably, the method for identifying the family relationship identity data includes the steps of obtaining basic information data of related family enterprises according to the family relationship identity identification data, and establishing an enterprise family relationship database, and specifically includes the following steps:
extracting enterprise location information from a related enterprise information database;
defining the retrieval range of the familial relation enterprises according to the enterprise position information;
searching related family enterprises in the retrieval range, and acquiring basic information data of the related family enterprises;
and establishing an enterprise family relation database according to the basic information data of the family enterprise.
Preferably, the basic information data of the family enterprise includes: enterprise name, enterprise type, enterprise age, and enterprise presence status.
Preferably, the constructing an enterprise portrait according to the data in the enterprise family relationship database and the data in each enterprise information database specifically includes:
extracting matched data from the enterprise family relationship database according to a preset enterprise portrait model, and processing the data to obtain relationship map data;
according to a preset enterprise portrait model, extracting the matched data from each enterprise information database one by one, and processing the data to obtain corresponding enterprise data;
and constructing an enterprise portrait according to the relation map data and the data of the enterprise.
Preferably, the enterprise representation model comprises the following modules: the system comprises a relation map module, an industry chain module, a full life cycle service module, a key index module, a trend development module, a fund declaration information module, an enterprise service file module, an enterprise detail module, an enterprise appeal module, a policy matching module and an intellectual property matching module.
Preferably, the enterprise images can be displayed at a PC end and a mobile phone end.
Compared with the prior art, the beneficial effect of this application: the method for constructing the enterprise portrait can reflect the basic information of the enterprise, can also reflect the enterprise with the family relationship with the enterprise to form the family relationship map, is clear at a glance, and solves the problem that the target enterprise cannot be found smoothly only by the basic information in the prior art.
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FIG. 1 is a schematic flow chart illustrating a method for constructing an enterprise representation according to an embodiment of the present disclosure;
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 S600 in FIG. 1;
FIG. 4 is a flowchart illustrating an embodiment of step S700 in FIG. 1;
FIG. 5 is a schematic diagram of an enterprise representation model according to an embodiment of the present disclosure.
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.
Referring to fig. 1, the embodiment provides a method for constructing an enterprise representation, which can be applied to a server or a cloud platform for providing an enterprise representation. As shown in fig. 1, the method for constructing an enterprise portrait provided by the embodiment of the present invention includes:
s100, data related to the enterprise portrait is obtained.
The data related to the enterprise portrait can be acquired in various manners, for example, through some performed services, specifically, through enterprise fund declaration, government service acceptance, government approval and approving, system docking and other services; but also for example by some information platform, such as an enterprise credit information platform; data acquired through the business can also be compared with data acquired through the enterprise credit information platform to acquire more reliable data.
Preferably, the data relating to the representation of the enterprise comprises: unit basic information, equity structure, marketing information, national height information, practitioner condition, unit financial condition, intellectual property, unit scientific research activity, and government funded condition.
The basic information of the unit comprises the English full name of the enterprise, whether to be cancelled or not, the cancellation date, the company account number, the leader of the unit, the cadre of the unit, the scale of the enterprise, the certification date of the business license, the license validity period, the code of the business institution, the code of the business enterprise state, the code of the organization (unified social credit code), the state code of the taxpayer, the national tax registration certificate number, the code of the branch office of the tax administration in charge, the unit address, the contact telephone, the unit website, the electronic mailbox, the fax, the QQ of the enterprise, the area where the QQ is located, the street, the registration date, the approval date, the registration institution, the immigration time, the registration address, the registration fund, the currency type of the registration fund, the external fund proportion, the business term of the business term, the end date of the business term, the credit level, Industry code, major business industry, major business product, high tech field to which the product (service) belongs, industry situation, enterprise introduction/unit introduction and development planning, basic enterprise situation, basic account bank, branch, line code, bank account, bank credit rating, office location, production location, floor area, building area, office area, production room area, overseas marketing agency number/overseas marketing agency number, overseas research and development agency number, annual power consumption, annual water consumption, recent acquisition time, certificate number, industry classification, industry to which the product belongs, first acquisition time, rating, economic type, online acquisition time, administrative online acquisition time, tax person code mapping to government person, push to market, push to report unit, unique code, postal code, total agency internal code, business office, etc, The system comprises a main institution business license registration number, branches, branch marks, institution type codes, annual inspection dates, enterprise internal codes, real payment capital currency, administrative divisions, social honor, professional qualifications, company videos, meeting time, substitute brands, technical levels (international advanced, domestic advanced, provincial advanced and common levels), main production processes, autonomous brands, construction projects, economic data, scientific research capacity and the like.
The share right structure comprises main shareholder name, funding amount, funding mode, occupied proportion, shareholder information-name, shareholder information-funding proportion, shareholder information-payment funding, shareholder information-currency type and the like.
The listing information includes whether to go on the market, type of listing, stock exchange market, time to market, stock code/stock code, etc.
The national height information comprises the time of obtaining the national high and new technology enterprise for the first time, the certificate number of the current national high and new technology enterprise, the time of obtaining the Shenzhen city high and new technology enterprise for the first time, the certificate number of the current Shenzhen city high and new technology enterprise and the like.
The personnel condition comprises legal representative name, legal representative contact number, legal representative scholarly, legal representative certificate type, legal representative certificate number, legal representative title, president name, total manager telephone, unit principal name, unit principal mobile telephone, main principal conditions of enterprise, unit contact name, unit contact number, unit contact scholarly, unit contact ID card number, unit contact electronic mailbox, unit contact fax, total personnel number, female staff number, resident family number, social security number, college graduate, foreign expert number, new development technician number, staff number above doctor scholarly, total structure of enterprise personnel-doctor and staff number ratio, The number of staff in the study of the master, the overall structure of the staff of the enterprise-the number of staff in the master, the number of staff in the study of the subject, the overall structure of the staff of the enterprise-the number of staff in the subject, the number of staff in the study below the subject, the high-level job title, the middle-level job title, the primary job title, the number of administrative staff, the number of marketing staff, the number of design staff in research and development, the number of manufacturing staff, the number of main staff-names, the number of main staff-positions, etc.
The unit financial condition comprises annual total value, industrial total value, high and new technology product output value, business income, main business income, high and new technology product (service) income, energy-saving and environment-friendly industrial income, export total amount, high and new technology product export amount, enterprise added value, high and new technology product added value, payable wages and benefits, fixed asset depreciation, sum of tax due to paying, enterprise income tax, personal income tax, value-added tax, business tax, other tax, actual preferential tax sum, income preferential tax, deduction amount of income tax due to research and payment, income tax due to national important support, income tax due to technical enterprise, income tax due to technical transfer, tax added value preferential discount, business tax preferential tax, other preferential tax, income, total amount, net profit, total amount of debt, fixed asset sum, fixed asset investment amount, scientific research investment total amount, income total amount, business profit and other profit, Industrial investment amount, industrial technical improvement investment amount, staff training annual investment cost, annual end net assets, general assets, owner equity sum, total sales amount, total profit, major revenue, major product yield, etc.
Intellectual property rights comprise number of patents owned, number of patents invented, number of registered design of integrated circuit layout, number of patents invented, number of patents designed for appearance, number of international patent applications PCT, number of patent grants accumulated, number of published publications accumulated, number of certificates registered design of integrated circuit layout accumulated, number of authorization invented, number of authorization designed for appearance, number of published papers accumulated, number of scientific and technological works accumulated, number of software works accumulated, number of platforms created in key laboratories, engineering centers (national level/provincial level/city level), number of IC layout version accumulated, number of registered trade accumulated, number of technical standards created for parameter compilation (international/national/industry), number of new plant products discovered accumulated, number of certificates acquired for new drugs (drugs, pesticides, veterinary drugs), number of scientific and technological awards (national level/provincial level/city level), Cumulative key laboratory number (country level/provincial level/city level), cumulative engineering center number (country level/provincial level/city level), cumulative project number (country level/provincial level/city level).
The unit scientific research activities comprise the total annual investment of the last-year scientific research expenses, the total annual investment of the previous-year scientific research expenses, the total annual investment growth rate of the scientific research expenses, the proportion of the last-year scientific research expenses to the total annual income, the proportion of the previous-year scientific research expenses to the total annual income, the percentage growth rate of the scientific research expenses to the total annual income, the number of the last-year scientific research staff, the number of the last-year academies, the number of the last-year thousand-people plans, the number of the last-year-ten-thousand-people plans, the number of the last-year-pearl river talent plans, the number of the last-year peacock plans, the number of the last-year-side-high people and above, the number of the last-year.
The obtained government subsidy conditions comprise the subsidy project names, project levels, project categories, subsidy departments, subsidy amount, subsidy time, whether matched support is obtained or not, support amount, support time, country project amount, accumulated national subsidy fund amount, provincial project amount, accumulated provincial fund amount, urban project amount, accumulated urban fund amount and the like.
The above description is only an example of the data related to the enterprise representation, and the data related to the enterprise representation includes, but should not be limited to, the above-mentioned example.
S200, preprocessing the data related to the enterprise portrait and acquiring the preprocessed data.
Referring to fig. 2, preferably, step S200 specifically includes:
s201, carrying out de-duplication processing on the data related to the enterprise portrait to obtain the de-duplicated data. The data related to the enterprise portrait acquired by different acquisition modes often has repetitive data, so that in order to reduce the time for processing the data in the later step and improve the efficiency of data processing, the repetitive data is firstly subjected to deduplication processing.
S202, removing the data after the duplicate removal processing, and removing the data with incorrect data format or irregular coding in the data after the duplicate removal processing to obtain compliant data. Compared with the original data, the data after the deduplication processing only eliminates repeated components, and inevitably has some data with illegal and incorrect data formats or irregular coding, and the existence of the data will influence the data processing in the following steps, so that the standard data needs to be eliminated, the compliant data is obtained, and the data quality is improved.
And S203, screening the compliance data according to the enterprise portrait label policy table to obtain preprocessed data.
Preferably, the enterprise portrait label policy table includes seven enterprise portrait dimensions, which are respectively an industry dimension, a time dimension, a belonging industry dimension, a high-level talent number dimension, an income scale dimension, a tax payment scale dimension, and a policy support dimension.
And S300, classifying the preprocessed data according to the enterprise portrait label policy table.
Specifically, the preprocessed data is analyzed according to the aspects of national height, tax, personnel structure, output value, scale, intellectual property, research and development investment and the like, and then classified according to an industry dimension, a time dimension, an affiliated industry dimension, a high-level talent number dimension, an earning scale dimension, a tax payment scale dimension and a policy support dimension. In addition, the contents of the policy declaration condition, the output value increase rate, the key indexes, the tax increase rate, the fund use condition and the like can be further analyzed; when all aspects of the enterprise have good data and good development tendency, the enterprise can be marked and classified into an enterprise cultivation library, and the government supports the important points of the enterprise; when the development trend of a business is poor, the business can be marked and classified into a business early warning library, and the government monitors the important trend of the business.
And S400, storing the classified data to a corresponding enterprise information database.
The enterprise portrait system generally comprises a plurality of enterprise information databases, wherein an enterprise portrait model is generally preset firstly before an enterprise portrait is constructed, the plurality of enterprise information databases are established according to the preset enterprise portrait model, and the step stores classified data into the corresponding enterprise information databases established in advance. The predetermined enterprise graphic model is received in step S700 in detail, and therefore, the detailed description is omitted here.
S500, acquiring family relation identification data from each enterprise information database; the family relation identification data comprises identity information data of legal representatives of the enterprise, investors, financial responsible persons and tax payers.
Preferably, the identity information data includes name, gender, age, academic calendar, certificate type and certificate number.
S600, acquiring basic information data of related family enterprises according to the family relationship identification data, and establishing an enterprise family relationship database.
Referring to fig. 3, preferably, step S600 specifically includes:
s601, enterprise position information is extracted from the related enterprise information database.
And S602, defining the retrieval range of the familial relation enterprises according to the enterprise position information. Generally, the retrieval range is set to the city level, i.e., the city-wide range of the current geographic location of the enterprise.
S603, searching related family enterprises in the retrieval range, and acquiring basic information data of the related family enterprises.
Preferably, the basic information data of the family enterprise includes: enterprise name, enterprise type, enterprise age, and enterprise presence status.
And S604, establishing an enterprise family relation database according to the basic information data of the family enterprise.
S700, constructing an enterprise portrait according to the data in the enterprise family relationship database and the data in each enterprise information database.
Referring to fig. 4, preferably, step S700 specifically includes:
and S701, extracting matched data from the enterprise family relationship database according to a preset enterprise portrait model, and processing the data to obtain relationship map data.
S702, according to a preset enterprise portrait model, extracting the matched data from each enterprise information database one by one, and processing the data to obtain corresponding enterprise data.
Referring to FIG. 5, preferably, the enterprise representation model includes the following modules: the system comprises a relation map module, an industry chain module, a full life cycle service module, a key index module, a trend development module, a fund declaration information module, an enterprise service file module, an enterprise detail module, an enterprise appeal module, a policy matching module and an intellectual property matching module.
The corresponding enterprise-owned data described in this step refers to data that matches modules other than the relationship graph module.
And S703, constructing an enterprise portrait according to the relationship map data and the data of the enterprise.
Preferably, the enterprise images can be displayed at a PC end and a mobile phone end.
Specifically, an inquiry port adaptation module can be arranged, and comprises a module adapted to a PC (personal computer) end and a module adapted to a mobile phone end, so that the enterprise portrait constructed by the method provided by the application can be well displayed on the PC end, and is convenient for a user to watch on the mobile phone end.
The concrete presentation modes of the constructed enterprise images can be tables, histograms, curve graphs and the like, and the presentation contents correspond to the enterprise image models in fig. 2 one to one, specifically:
1) relationship map module
The module is used for combing the complicated and complicated relationships between enterprises and other enterprises, between enterprises and stockholders and between stockholders and other companies to form the relationship map of the enterprises, and can be presented in a divergent relationship map mode.
2) Industrial chain module
The module forms the upstream and downstream industry chain relation of an enterprise according to the incidence relation of the product of the enterprise, the product supplier of the enterprise and the client of the enterprise, the specific presentation form is an industry chain map, and a user can obtain the relation by inputting enterprise keywords, enterprise names, unified credit codes or enterprise legal persons and the like when using the module.
3) Full life cycle service module
The module is used for displaying service projects sent by an enterprise in the whole life cycle, and can be presented in a form of a table, and a user can inquire the service projects matched with the enterprise by inputting enterprise keywords, enterprise names, unified credit codes or enterprise legal people high management and the like when using the module, wherein the service projects comprise the serviced projects, services required by the enterprise at present and the like.
4) Key index module
The module comprises six key indexes which are respectively as follows: social integrity, management, growth, tax risks, anomalies, and economic contributions. The social integrity index is an objective evaluation on information in the enterprise integrity aspect; the operation index comprehensively reflects the operation condition of the enterprise within a certain time through a plurality of data such as export sales volume change and the like; the growth index comprehensively reflects the survival ability and the development speed of the enterprise within a certain time by integrating multiple data such as human resource growth rate, high and new technology qualification recognition and the like; the tax risk index labels potential tax risks existing in the enterprise according to the aspects of enterprise information perfection degree, transaction authenticity and the like; the abnormal index reflects the abnormal condition of the enterprise in the operation process; the economic contribution index reflects the influence of enterprises on economic development trend in a certain economic area or a certain industry range.
5) Trend development module
The module acquires the operation data of the enterprise in about 5 years by connecting relevant systems such as national tax, statistical bureau and the like, forms enterprise tax development trend, enterprise output value and growth rate, enterprise import and export amount report forms and the like through data cleaning and data analysis, and can be presented in the form of a histogram. The module supports trend prediction through the operation data of the enterprise in the last 5 years, and predicts the development condition of the enterprise in the last 1 year.
6) Capital declaration information module
The module acquires enterprise fund declaration data for analysis by butting a fund declaration system, and forms a diagram of the amount of money dialed and the policy declaration quantity acquired by the enterprise in 5 years. And the user is supported to inquire the enterprise declaration policy record according to the policy type and the declaration time, and the declaration details are supported to be checked.
7) Enterprise service file module
The module acquires and files data serving enterprises by a government, a street office, a community and the like through docking a business system to form an enterprise service archive, which can be presented in a form of a table and specifically comprises a service title, service time, government feedback and the like.
8) Enterprise detail module
The module is mainly used for displaying industrial and commercial information, risk information, operation information, knowledge products, marketing information, public opinion information, family maps of enterprises, investment of dialysis enterprises, invested data and operational relations of the enterprises. When the system is used, a user can quickly inquire by inputting enterprise keywords, enterprise names, unified social credit codes or enterprise legal people high management and the like.
9) Enterprise appeal module
The module acquires enterprise appeal information by butting an enterprise appeal reporting system, classifies, files, statistically analyzes and the like the enterprise appeal according to the category, time, state and the like, and finally presents the enterprise appeal information in a pie chart.
10) Policy matching module
The module classifies and counts the policies matched with the enterprise by interfacing with the enterprise policy matching information, wherein the policies comprise matching policies, declared policies, reportable policies and the like.
11) Intellectual property matching module
The module is presented in a table form; when in use, a user inquires about patent related information through searching enterprises, patents and expert names. Related patents and enterprises can be matched through keywords, and the innovation of the enterprises is mined through the intellectual property and copyright output.
Preferably, the final presentation of the enterprise representation can also comprise a clothes enterprise seating map, so that the geographic position of the enterprise can be accurately positioned, and detailed information can be displayed. When an enterprise is searched, the geographical position of the enterprise can be quickly displayed on a city map by only one taxpayer identification number or other key information, and the operation and development conditions of the enterprise are displayed. Moreover, the map also supports multiple search modes, can visually display the distribution conditions of enterprises of different industries and scales, is convenient for tax staff to know the geographical layout of enterprises on the upstream and downstream of an industrial chain, and can find some enterprises with unreasonable positions or abnormal operation cost in time.
The method for constructing the enterprise portrait provided by the embodiment of the application can reflect the basic information of the enterprise, and can also reflect the enterprise with the family relation with the enterprise to form the family relation map, the interpersonal context is clear, and the problem that the target enterprise cannot be found smoothly only by the basic information in the prior art is solved. The enterprise portrait constructed by the method can clearly and completely present an enterprise family relationship map on a corresponding enterprise portrait platform, enterprises with certain association relations such as the same legal representative, a common sponsor, a same financial responsible person or a tax holder are placed in an interface by utilizing the identity information of the legal representatives, the investors, the financial responsible persons and the tax holders of the enterprises within a certain range, the relations are complied, and the enterprise relation network can fully harvest the eye, so that the enterprise is not difficult to find the enterprises or the people.
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 (10)
1. A method for constructing an enterprise portrait, the method comprising:
acquiring data related to an enterprise portrait;
preprocessing the data related to the enterprise portrait to obtain preprocessed data;
classifying the preprocessed data according to an enterprise portrait label policy table;
storing the classified data to a corresponding enterprise information database;
acquiring family relation identification data from each enterprise information database; the family relationship identification data comprises the identity information data of legal representatives of the enterprise, investors, financial responsible persons and tax payers;
acquiring basic information data of related family enterprises according to the family relationship identification data, and establishing an enterprise family relationship database;
and constructing an enterprise portrait according to the data in the enterprise family relationship database and the data in each enterprise information database.
2. A method of constructing an enterprise representation as claimed in claim 1, wherein said data relating to an enterprise representation comprises: unit basic information, equity structure, marketing information, national height information, practitioner condition, unit financial condition, intellectual property, unit scientific research activity, and government funded condition.
3. The method for constructing an enterprise representation as claimed in claim 1, wherein the pre-processing the data related to the enterprise representation to obtain the pre-processed data comprises:
carrying out deduplication processing on the data related to the enterprise portrait to obtain deduplicated data;
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;
and screening the compliance data according to the enterprise portrait label policy table to obtain preprocessed data.
4. The method of claim 1, wherein the enterprise representation tag policy table comprises seven enterprise representation dimensions, namely an industry dimension, a time dimension, a belonging industry dimension, a high-level talent dimension, a revenue scale dimension, a tax scale dimension, and a policy support dimension.
5. A method of constructing an enterprise representation as claimed in claim 1, wherein said identity data includes name, gender, age, academic calendar, certificate type and certificate number.
6. The method for constructing an enterprise portrait according to claim 1, wherein the steps of obtaining basic information data of related family enterprises according to the family relationship identification data, and establishing an enterprise family relationship database specifically include:
extracting enterprise location information from a related enterprise information database;
defining the retrieval range of the familial relation enterprises according to the enterprise position information;
searching related family enterprises in the retrieval range, and acquiring basic information data of the related family enterprises;
and establishing an enterprise family relation database according to the basic information data of the family enterprise.
7. The method for constructing an enterprise representation as claimed in claim 6, wherein the basic information data of the family enterprise comprises: enterprise name, enterprise type, enterprise age, and enterprise presence status.
8. The method for constructing an enterprise representation according to claim 1, wherein constructing an enterprise representation based on the data in the enterprise family database and the data in each of the enterprise information databases comprises:
extracting matched data from the enterprise family relationship database according to a preset enterprise portrait model, and processing the data to obtain relationship map data;
according to a preset enterprise portrait model, extracting the matched data from each enterprise information database one by one, and processing the data to obtain corresponding enterprise data;
and constructing an enterprise portrait according to the relation map data and the data of the enterprise.
9. The method of constructing an enterprise representation of claim 8, wherein said enterprise representation model comprises the following modules: the system comprises a relation map module, an industry chain module, a full life cycle service module, a key index module, a trend development module, a fund declaration information module, an enterprise service file module, an enterprise detail module, an enterprise appeal module, a policy matching module and an intellectual property matching module.
10. The method for constructing an enterprise representation as claimed in claim 1, wherein the enterprise representation can be displayed on a PC side and a mobile phone side.
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