CN113283780A - Tax risk analysis system and method based on enterprise internal and external environment big data - Google Patents

Tax risk analysis system and method based on enterprise internal and external environment big data Download PDF

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CN113283780A
CN113283780A CN202110641783.1A CN202110641783A CN113283780A CN 113283780 A CN113283780 A CN 113283780A CN 202110641783 A CN202110641783 A CN 202110641783A CN 113283780 A CN113283780 A CN 113283780A
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韦志涵
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Sichuan Yunqi Zhihai Big Data Technology Research Institute LP
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Sichuan Yunqi Zhihai Big Data Technology Research Institute LP
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to the technical field of tax risk analysis, in particular to a tax risk analysis system and a method based on big data of internal and external environments of an enterprise, wherein the tax risk analysis system comprises: the enterprise basic information and internal environment data mining analysis module is used for analyzing the risk direction of the enterprise and analyzing whether the financial reports of the enterprise have risks according to the basic information and the financial annual reports of the enterprise; the enterprise external environment big data analysis module is used for analyzing the social environment and the political environment of the enterprise to determine the external environment risk of the enterprise; the enterprise information retention risk analysis module is used for analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information; a risk analysis module for registered places and operating places and a risk analysis module for goods and labor tax sources. The invention analyzes the enterprise by combining various tax risks in the actual production and operation of the enterprise to determine the potential tax risk of the enterprise, and has higher preparation rate and more comprehensive analysis.

Description

Tax risk analysis system and method based on enterprise internal and external environment big data
Technical Field
The invention relates to the technical field of tax risk analysis, in particular to a tax risk analysis system and method based on enterprise internal and external environment big data.
Background
The large data of the internal and external environments of the enterprise refers to a data set captured, managed and processed by a conventional software tool in the time range from establishment to the current time range of the enterprise, and has five characteristics of large data scale, rapid data circulation, various data types, low value density and high authenticity.
However, the significance of the enterprise big data is not to master the huge data information, but to perform specialized value-added information processing analysis on the meaningful data, and the data information related to the enterprise, such as enterprise architecture, management flow system, enterprise culture, enterprise basic public information, enterprise finance, enterprise personnel information, enterprise fixed assets and the like, is uniformly classified into enterprise internal environment data; external condition data related to the enterprise, such as national or regional policies, social public relations influence, technology front conditions, industry situation and competitive relationship, associated enterprises and personnel, information residue, official disputes, cultural customs, fund relationship network and the like, which affect the enterprise, are uniformly classified into external environment data of the enterprise.
The existing risk analysis method only predicts the risk of the company financial affairs from the aspects of the financial report and the repayment capacity of the enterprise, and the like, but the risk monitoring of the tax generation is always suddenly influenced by other factors except the financial affairs in the production and operation process of the actual enterprise, so that the risk is checked by the tax. Therefore, the existing risk analysis method is one-sided, and the tax risk of an enterprise cannot be found comprehensively.
Disclosure of Invention
In view of the above, it is necessary to provide a tax risk analysis system and method based on the big data of the internal and external environments of the enterprise.
The embodiment of the invention is realized in such a way that a tax risk analysis system based on big data of internal and external environments of an enterprise comprises:
the enterprise basic information and internal environment data mining analysis module is used for analyzing the risk direction of the enterprise and analyzing whether the financial reports of the enterprise have risks according to the basic information and the financial annual reports of the enterprise;
the enterprise external environment big data analysis module is used for analyzing the social environment and the political environment of the enterprise to determine the external environment risk of the enterprise;
the enterprise information retention risk analysis module is used for analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information;
the risk analysis module of the registered place and the operating place is used for analyzing whether the operating place of the enterprise has risks or not according to the enterprise registration address and the tax address; and
and the goods and labor tax sources risk analysis module is used for analyzing the financial and main business of the enterprise and the salary to determine the tax risk of the enterprise.
In one embodiment, the invention provides a tax risk analysis method based on enterprise internal and external environment big data, and the tax risk analysis method comprises the following steps:
analyzing the risk direction of the enterprise and whether the financial reports of the enterprise have risks or not according to the basic information and the financial annual reports of the enterprise;
analyzing the social environment and political environment of the enterprise to determine external environment risks of the enterprise;
analyzing the retention information of the enterprise to determine whether the enterprise has the risk of the retention information;
analyzing whether risks exist in the operating places of the enterprises according to the enterprise registration addresses and the tax addresses; and
the financial and major business, and payroll of the enterprise are analyzed to determine the tax risk of the enterprise.
In one embodiment, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the tax risk analysis method described above.
In one embodiment, the present invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when executed by a processor, causes the processor to execute the steps of the tax risk analysis method.
The tax risk analysis system provided by the embodiment of the invention performs reverse analysis by combining various tax risk conditions possibly generated in the actual operation of an enterprise, innovatively stands on the problem of seeing by the motion vision in the development of the enterprise, deeply excavates and processes the big data information of the internal and external environments of the enterprise from the big data information of the enterprise, performs full-dimensional comprehensive analysis by using the modules of enterprise information residue, the problems of residence and operation places of the enterprise, goods and tax sources, early-stage support policies and later-stage policy restrictions of the enterprise, social complaints, judicial disputes, risk association and the like, stands on the comprehensive angle of non-simple finance to predict the tax risk of the enterprise, and has innovative significance in the mode of classifying the data information into the internal and external environments.
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FIG. 1 is a block diagram of a tax risk analysis system based on big data of the internal and external environments of an enterprise, as provided in one embodiment;
FIG. 2 is a flow diagram of a tax risk analysis method based on big data of the internal and external environments of an enterprise, under an embodiment;
FIG. 3 is a logic diagram of a tax risk analysis method based on big data of internal and external environments of an enterprise according to an embodiment;
FIG. 4 is a block diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present disclosure.
Fig. 1 is a block diagram illustrating a tax risk analysis system based on big data of internal and external environments of an enterprise according to an embodiment, where the tax risk analysis system includes:
the enterprise basic information and internal environment data mining analysis module 100 is used for analyzing the risk direction of the enterprise and analyzing whether the financial reports of the enterprise have risks according to the basic information and the financial annual reports of the enterprise;
the enterprise external environment big data analysis module 200 is used for analyzing the social environment and political environment of the enterprise to determine the external environment risk of the enterprise;
the enterprise information retention risk analysis module 300 is used for analyzing the retention information of the enterprise to determine whether the enterprise has the risk of the retention information;
a risk analysis module 400 for the registered place and the operating place, which is used for analyzing whether the operating place of the enterprise has risks according to the enterprise registration address and the tax address; and
a risk analysis module 500 for the freight and labor tax sources, which is used for analyzing the financial and main business of the enterprise, and the salary to determine the tax risk of the enterprise.
In the embodiment of the present invention, the modules are connected to each other, and the analysis result of one module can be transmitted to other modules for the other modules to use as one of the basic data for analysis, that is, in the embodiment of the present invention, the modules can refer to each other. After data is input into the system, the data is transmitted among the modules, when the information comprises preset keywords of the module, the data is identified as analysis data of the module, the analysis data is processed and analyzed by utilizing preset calculation of the module to obtain a processing result based on analysis of the module, and the result can be transmitted to other modules for further analysis and processing. The method comprises multi-dimensional mining on the same data, so that the information implicit in the data can be fully mined, and the risk finding and early warning capabilities are improved.
The tax risk analysis system provided by the embodiment of the invention performs reverse analysis by combining various tax risk conditions possibly generated in the actual operation of an enterprise, innovatively stands on the problem of seeing by the motion vision in the development of the enterprise, deeply excavates and processes the big data information of the internal and external environments of the enterprise from the big data information of the enterprise, performs full-dimensional comprehensive analysis by using the modules of enterprise information residue, the problems of residence and operation places of the enterprise, goods and tax sources, early-stage support policies and later-stage policy restrictions of the enterprise, social complaints, judicial disputes, risk association and the like, stands on the comprehensive angle of non-simple finance to predict the tax risk of the enterprise, and has innovative significance in the mode of classifying the data information into the internal and external environments.
In one embodiment of the invention, the enterprise basic information and internal environment data mining analysis module comprises a basic information analysis unit and a financial annual report analysis unit;
the basic information analysis unit is used for determining the possible direction of the enterprise risk according to the basic information of the enterprise;
the financial annual report analysis unit is used for analyzing whether risks exist in financial reports of enterprises.
In the embodiment of the invention, the basic condition of the enterprise can be known through the basic information of the enterprise, and a plurality of possibility directions can be preliminarily determined for risk factors generated by the enterprise. Through the annual financial report information, whether enterprise annual reports are falsified or concealed or not is observed, the real situation is concealed or the annual reports are missed, the contact capacity between the enterprise and a tax department, the registered address and the operating place are detected, and whether risks exist or not is determined.
In one embodiment of the invention, the enterprise external environment big data analysis module comprises a social environment analysis unit and a political environment analysis unit;
the social environment analysis unit is used for analyzing tax risks, legal disputes, social complaints, historical factors and popular culture of the associated enterprises and personnel to determine the social environment risks of the enterprises;
the political environment analysis unit is used for analyzing the regional support enterprise types and the regional industrial and commercial tax policies to determine the political environment risks of enterprises and public institutions.
In embodiments of the present invention, social environments include, but are not limited to, associated enterprise and personnel tax risks, legal disputes, social complaints, historical factors, customs culture; political environments include, but are not limited to, regional support business types, regional industry and commerce tax policy scenarios, and the like.
In the embodiment of the invention, the associated enterprise and the associated personnel are primarily a shareholder relationship chain, and whether all shareholders and staffs of the enterprise participate in shares or duties of other enterprises or have legal action disputes is analyzed and detected, so that whether the enterprise has associated enterprise risks can be judged. The associated enterprise risk potential may also exist for post personnel that the enterprise contacts the department of industry and commerce tax.
In the embodiment of the invention, the enterprise registration attribution area can be known through the enterprise basic information data, and each area mainly supports different industries, pillar industries and mainstream industries, and the problems of registration address selection can generate hidden risks on the initial growth and later development of the enterprise and the communication problem with local taxation.
In the embodiment of the invention, each regional industry and commerce tax policy has different attitudes and policy tightness degrees for enterprises in different industries, the processing modes and attitudes adopted by the intervention of supervision departments after the enterprises are complained by consumers or maliciously complained are also different according to regional conditions, and the popular culture and historical factors can influence regional enterprise types and need the enterprises to take precautions and take measures after regional analysis of the registered places.
In one embodiment of the invention, the enterprise information retention risk analysis module comprises an enterprise change information residue analysis unit, a business and industry liaison condition analysis unit, a tax clerk condition analysis unit and a registration place change history analysis unit;
the enterprise change information residual analysis unit analyzes change history and change information of an enterprise to determine whether high management or stock right change is risky;
the business liaison condition analysis unit and the tax affair tax clerk condition analysis unit are respectively used for analyzing the conditions of the business liaison and the tax affair tax clerk to determine whether the risk of losing contact exists;
the registration place change history analysis unit is used for analyzing whether the registration place change of the enterprise can cause tax risks.
In the embodiment of the invention, whether information residue exists in the high management or stock right change of the enterprise is known through the enterprise change history and the change information record. The residual shareholder change information can generate enterprise associated monitoring hidden danger of the shareholder; the residual stock right change information can generate tax stock right transfer risk monitoring and stamp tax risk monitoring; the residual change information of the registered place can cause inconsistency of the address information of the enterprise and the business registration and the tax registration, and tax monitoring risks are generated.
In the embodiment of the invention, the enterprise changes the information record of the industrial and commercial liaison member, so that whether the industrial and commercial supervision department can contact the enterprise and communicate the enterprise to carry out complaint processing and annual report work can be known, and residual information can generate the risk of loss of contact on supervision. The change record residue of the tax clerk can also cause the risk hidden trouble of losing connection for the tax bureau whether to contact the enterprise.
In one embodiment of the invention, the risk analysis module of the registration place and the operation place comprises a registration address analysis unit and an operation address analysis unit;
the registration address analysis unit is used for analyzing possible risks of the enterprise according to the registration address of the enterprise;
the business address analysis unit is used for analyzing possible risks of the enterprise according to the business address of the enterprise.
In the embodiment of the invention, the enterprise registration place information obtained through the enterprise basic information data can know whether other companies exist on the same registration place or not through big data, whether the registration place can be contacted, whether the registration place is consistent with the operation place or not, the risk that the abnormal situation of the registration place and the actual operation place can be checked by a supervision department due to the inconsistency, and the risk that tax affairs have false operation places of tax affairs of a plurality of companies or do not have operation places on the address through tax affair monitoring.
In one embodiment of the invention, the risk analysis module for the goods and labor tax sources comprises a tax type and operation range analysis unit, a sales situation analysis unit and a payroll analysis unit;
the tax type and operation range analysis unit is used for analyzing operation items of the enterprise to determine whether the enterprise has tax risks;
the sales condition analysis unit is used for analyzing the production and sales conditions of the enterprise to determine whether the enterprise has tax risks;
the payroll analysis unit is used for analyzing the payroll of the enterprise to determine whether the enterprise has tax risks.
In the embodiment of the invention, by understanding and analyzing the financial condition and the main business of the enterprise, whether the business of the enterprise is in the business range and the tax covering item, whether the incoming cost is consistent with the invoice of the sale item, and whether the risk of missing tax risk monitoring, even the monitoring and checking risk of false invoice can be generated can be judged. The risk of salary tax generated by an enterprise is caused by the fact that the salary cannot be reasonably disposed according to tax requirements, and mainly has the following reasons:
(1) the payroll staff reports complaints by the virtual or multiple reports.
(2) The high salary staff does not purchase social security for a long time, and the staff reports complaints or is monitored and chased by tax affairs.
(3) The enterprise is in a state of no salary payment release for a long time.
(4) The long-term payroll amounts of the employees are completely the same and have suspicion.
(5) Too many wage personnel and long-term tax loss.
(6) The employee salary treatment in the special industry is not matched with the quotation.
(7) The staff is numerous, but the cash is used for a long time and a large amount to issue wages, and the wages are not issued by a bank.
By analyzing the payroll, the possible risks can be found, and the risk prompt function is achieved.
In an embodiment of the present invention, the orchestration module is connected to each module, and is configured to obtain an analysis result of each module and determine a tax risk score and a tax risk dimension distribution according to a preset weight.
In the embodiment of the invention, the overall module can determine the score distribution of the comprehensive risk coefficient of the enterprise in each module direction, so that the risk distribution of the enterprise is displayed from multiple dimensions, the total risk score of the enterprise is determined, and the transverse comparison is convenient.
As shown in fig. 2, an embodiment of the present invention further provides a tax risk analysis method based on big data of internal and external environments of an enterprise, where the tax risk analysis method includes steps S202 to S210:
step S202, analyzing the risk direction of the enterprise and analyzing whether the financial annual report of the enterprise has risks according to the basic information and the financial annual report of the enterprise;
step S204, analyzing the social environment and political environment of the enterprise to determine the external environment risk of the enterprise;
step S206, analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information;
step S208, analyzing whether the operating place of the enterprise has risks or not according to the enterprise registration address and the tax address; and
step S210, the financial and main business of the enterprise and the salary are analyzed to determine the tax risk of the enterprise.
In the embodiments of the present invention, for the specific explanation of the above steps, reference is made to any one or a combination of multiple foregoing embodiments of the present invention, and details of the embodiments of the present invention are not repeated herein.
As shown in fig. 3, in the embodiment of the present invention, from the name of the enterprise, big data mining analysis is performed on the basic information of the enterprise according to the description of the internal operating environment of the enterprise and the financial statement, and the analyzed structure is used for risk analysis of the residence and the operating place of the enterprise, risk analysis of annual report information, and big data analysis of the external operating environment of the enterprise. And determining the legal disputes associated with the enterprises according to the internal business environment condition description of the enterprises. And performing external operation environment big data analysis on the enterprise according to the determined legal dispute, the risk analysis result of the enterprise residence and the operation place and the basic enterprise information big data mining analysis result, wherein the external operation environment big data of the enterprise comprises information in various aspects such as enterprise information residue, regional industrial and commercial tax conditions, regional support enterprise types, social complaints, tax risk analysis of related enterprises and staff, industrial and commercial tax contact capacity analysis and the like. According to the financial statement and annual report information risk analysis result, tax business conditions, sale item conditions, wage conditions and the like can be obtained, the contents and the results obtained by the big data analysis of the external business environment of the enterprise are comprehensively processed to obtain enterprise tax risk analysis conclusion, and the conclusion can be given in a report form.
FIG. 4 is a diagram illustrating an internal structure of a computer device in one embodiment. As shown in fig. 4, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to implement the tax risk analysis method provided by the embodiment of the present invention. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to execute the tax risk analysis method provided by the embodiment of the present invention. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
step S202, analyzing the risk direction of the enterprise and analyzing whether the financial annual report of the enterprise has risks according to the basic information and the financial annual report of the enterprise;
step S204, analyzing the social environment and political environment of the enterprise to determine the external environment risk of the enterprise;
step S206, analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information;
step S208, analyzing whether the operating place of the enterprise has risks or not according to the enterprise registration address and the tax address; and
step S210, the financial and main business of the enterprise and the salary are analyzed to determine the tax risk of the enterprise.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
step S202, analyzing the risk direction of the enterprise and analyzing whether the financial annual report of the enterprise has risks according to the basic information and the financial annual report of the enterprise;
step S204, analyzing the social environment and political environment of the enterprise to determine the external environment risk of the enterprise;
step S206, analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information;
step S208, analyzing whether the operating place of the enterprise has risks or not according to the enterprise registration address and the tax address; and
step S210, the financial and main business of the enterprise and the salary are analyzed to determine the tax risk of the enterprise.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (8)

1. The tax risk analysis system based on the big data of the internal and external environments of the enterprise is characterized by comprising the following steps:
the enterprise basic information and internal environment data mining analysis module is used for analyzing the risk direction of the enterprise and analyzing whether the financial reports of the enterprise have risks according to the basic information and the financial annual reports of the enterprise;
the enterprise external environment big data analysis module is used for analyzing the social environment and the political environment of the enterprise to determine the external environment risk of the enterprise;
the enterprise information retention risk analysis module is used for analyzing the retained information of the enterprise to determine whether the enterprise has a risk of retaining the information;
the risk analysis module of the registered place and the operating place is used for analyzing whether the operating place of the enterprise has risks or not according to the enterprise registration address and the tax address; and
and the goods and labor tax sources risk analysis module is used for analyzing the financial and main business of the enterprise and the salary to determine the tax risk of the enterprise.
2. A tax risk analysis system according to claim 1, wherein the enterprise basic information and internal environment data mining and analyzing module comprises a basic information analyzing unit and a financial annual report analyzing unit;
the basic information analysis unit is used for determining the possible direction of the enterprise risk according to the basic information of the enterprise;
the financial annual report analysis unit is used for analyzing whether risks exist in financial reports of enterprises.
3. A tax risk analysis system based on big data of internal and external environments of an enterprise according to claim 1, wherein the big data of external environments of an enterprise analysis module comprises a social environment analysis unit and a political environment analysis unit;
the social environment analysis unit is used for analyzing tax risks, legal disputes, social complaints, historical factors and popular culture of the associated enterprises and personnel to determine the social environment risks of the enterprises;
the political environment analysis unit is used for analyzing the regional support enterprise types and the regional industrial and commercial tax policies to determine the political environment risks of enterprises and public institutions.
4. A tax risk analysis system based on big data of internal and external environments of an enterprise according to claim 1, wherein the enterprise information retention risk analysis module comprises an enterprise change information residue analysis unit, a business and industry liaison condition analysis unit, a tax clerk condition analysis unit and a registration place change history analysis unit;
the enterprise change information residual analysis unit analyzes change history and change information of an enterprise to determine whether high management or stock right change is risky;
the business liaison condition analysis unit and the tax affair tax clerk condition analysis unit are respectively used for analyzing the conditions of the business liaison and the tax affair tax clerk to determine whether the risk of losing contact exists;
the registration place change history analysis unit is used for analyzing whether the registration place change of the enterprise can cause tax risks.
5. A tax risk analysis system according to claim 1, wherein the risk analysis module of the registration place and the business place comprises a registration address analysis unit and a business address analysis unit;
the registration address analysis unit is used for analyzing possible risks of the enterprise according to the registration address of the enterprise;
the business address analysis unit is used for analyzing possible risks of the enterprise according to the business address of the enterprise.
6. A tax risk analysis system according to claim 1, wherein the goods and labor tax sources risk analysis module comprises a tax and business scope analysis unit, a sales situation analysis unit and a payroll analysis unit;
the tax type and operation range analysis unit is used for analyzing operation items of the enterprise to determine whether the enterprise has tax risks;
the sales condition analysis unit is used for analyzing the production and sales conditions of the enterprise to determine whether the enterprise has tax risks;
the payroll analysis unit is used for analyzing the payroll of the enterprise to determine whether the enterprise has tax risks.
7. A tax risk analysis system according to claim 1, wherein the orchestration module is connected to each module, and is configured to obtain the analysis result of each module and determine the tax risk score and the tax risk dimension distribution according to the preset weight.
8. A tax risk analysis method based on enterprise internal and external environment big data is characterized by comprising the following steps:
analyzing the risk direction of the enterprise and whether the financial reports of the enterprise have risks or not according to the basic information and the financial annual reports of the enterprise;
analyzing the social environment and political environment of the enterprise to determine external environment risks of the enterprise;
analyzing the retention information of the enterprise to determine whether the enterprise has the risk of the retention information;
analyzing whether risks exist in the operating places of the enterprises according to the enterprise registration addresses and the tax addresses; and
the financial and major business, and payroll of the enterprise are analyzed to determine the tax risk of the enterprise.
CN202110641783.1A 2021-06-09 2021-06-09 Tax risk analysis system and method based on enterprise internal and external environment big data Pending CN113283780A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115205005A (en) * 2022-07-18 2022-10-18 北京合盛众泰管理咨询服务有限公司 Tax information analysis system and method based on big data

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103116860A (en) * 2013-01-15 2013-05-22 广东源恒软件科技有限公司 Enterprise tax file management platform
KR20160125601A (en) * 2015-04-21 2016-11-01 주식회사 더존다스 System and method for examining tax risk
CN107301596A (en) * 2017-07-24 2017-10-27 北京三正科技股份有限公司 A kind of tax big data method for digging and device drawn a portrait based on taxpayer
CN108647818A (en) * 2018-05-08 2018-10-12 山东浪潮通软信息科技有限公司 A kind of method and device of prediction enterprise concerning taxes risk
CN109377050A (en) * 2018-10-24 2019-02-22 江苏税软软件科技有限公司 One kind being based on risk analysis and AI artificial intelligence model risk analysis method
CN111027832A (en) * 2019-11-28 2020-04-17 卓尔智联(武汉)研究院有限公司 Tax risk determination method, apparatus and storage medium
CN111210323A (en) * 2019-12-26 2020-05-29 大象慧云信息技术有限公司 Enterprise tax risk monitoring method and system
CN111222968A (en) * 2019-12-26 2020-06-02 大象慧云信息技术有限公司 Enterprise tax risk management and control method and system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103116860A (en) * 2013-01-15 2013-05-22 广东源恒软件科技有限公司 Enterprise tax file management platform
KR20160125601A (en) * 2015-04-21 2016-11-01 주식회사 더존다스 System and method for examining tax risk
CN107301596A (en) * 2017-07-24 2017-10-27 北京三正科技股份有限公司 A kind of tax big data method for digging and device drawn a portrait based on taxpayer
CN108647818A (en) * 2018-05-08 2018-10-12 山东浪潮通软信息科技有限公司 A kind of method and device of prediction enterprise concerning taxes risk
CN109377050A (en) * 2018-10-24 2019-02-22 江苏税软软件科技有限公司 One kind being based on risk analysis and AI artificial intelligence model risk analysis method
CN111027832A (en) * 2019-11-28 2020-04-17 卓尔智联(武汉)研究院有限公司 Tax risk determination method, apparatus and storage medium
CN111210323A (en) * 2019-12-26 2020-05-29 大象慧云信息技术有限公司 Enterprise tax risk monitoring method and system
CN111222968A (en) * 2019-12-26 2020-06-02 大象慧云信息技术有限公司 Enterprise tax risk management and control method and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
万法通课堂: "企业如何识别税务风险以及税务防控", pages 1 - 3, Retrieved from the Internet <URL:https://mp.weixin.qq.com/s/HgftsGw8Sdlq6nyBauFM2A> *
咸淡哥郑泳梁: "整理:税务风险产生的原因及种类", pages 1 - 3, Retrieved from the Internet <URL:https://mp.weixin.qq.com/s/EU2t2M3o67754MGp8hGr8w> *
正誉财税: "税务风险的特性及产生原因", pages 1 - 3, Retrieved from the Internet <URL:https://mp.weixin.qq.com/s/8I_suNjVzwJ1Aat_c_bKVQ> *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115205005A (en) * 2022-07-18 2022-10-18 北京合盛众泰管理咨询服务有限公司 Tax information analysis system and method based on big data

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