Method and device for determining business environment, storage medium and electronic device

Abstract

The embodiment of the invention provides a business environment determination method and device, a storage medium and an electronic device, and the method comprises the steps: obtaining a target evaluation index of a target region under the condition of receiving a business environment evaluation instruction for the target region; the target evaluation index is input into a comprehensive network model, a first key factor included in the target evaluation index is obtained, the comprehensive network model comprises at least two screening sub-models, and the screening sub-models are used for screening out the first key factor from the target evaluation index; the first key factor is input into a target model, the business environment of the target area is determined through the target model, and the target model is obtained by training the initial model through the obtained historical key index and historical business environment. According to the invention, the problem of inaccurate evaluation of the business environment is solved, and the effect of improving the accuracy of evaluation of the business environment is achieved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of communications, and in particular, to a method, device, storage medium and electronic device for determining a business environment. Background Art

[0002] In the relevant technologies, the current evaluation methods for the business environment analyze each indicator separately and independently, lacking a comprehensive analysis of the relationship between indicators, making it difficult to fully grasp the pros and cons of the overall business environment. In addition, the data quality and difficulty of obtaining data in different regions vary, affecting the accuracy and reliability of the evaluation.

[0003] From this, we can see that there are technical problems in the relevant technology that lead to inaccurate assessment of the business environment.

[0004] In view of the above problems existing in the related technologies, no effective solutions have been proposed yet. Summary of the invention

[0005] Embodiments of the present invention provide a method, device, storage medium and electronic device for determining a business environment, so as to at least solve the problem of inaccurate assessment of the business environment existing in the related art.

[0006] According to one embodiment of the present invention, a method for determining a business environment is provided, comprising: upon receiving an instruction to evaluate the business environment of a target area, obtaining a target evaluation index for the target area; inputting the target evaluation index into a comprehensive network model to obtain a first key factor included in the target evaluation index, wherein the comprehensive network model comprises at least two screening sub-models, and the screening sub-model is used to screen out the first key factor from the target evaluation index; inputting the first key factor into a target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training an initial model with acquired historical key indicators and historical business environment.

[0007] In an exemplary embodiment, the target evaluation index is input into the comprehensive network model to obtain the first key factor included in the target evaluation index, which includes: inputting the target evaluation index into the first screening sub-model included in the comprehensive network model to obtain the second key factor, wherein the first screening sub-model includes a multivariate regression model; inputting the target evaluation index into the second screening sub-model included in the comprehensive network model to obtain the third key factor, wherein the second screening sub-model includes a factor analysis model; and determining the first key factor based on the second key factor and the third key factor.

[0008] In an exemplary embodiment, obtaining a target evaluation index for a target area includes: obtaining a first evaluation index for the target area through a big data model; performing data processing on the first evaluation index through a target technology to obtain a second evaluation index; and processing abnormal data included in the second evaluation index through a data processing model to obtain the target evaluation index.

[0009] In an exemplary embodiment, obtaining a target evaluation index of a target area includes: obtaining a third evaluation index of the target area; adjusting the third evaluation index based on a received index management instruction to obtain a fourth evaluation index; and determining the fourth evaluation index as the target evaluation index.

[0010] In an exemplary embodiment, after inputting the first key factor into the target model to determine the business environment of the target area through the target model, the method further includes: determining the business environment score; and performing an alarm operation when the business environment score is greater than or equal to a predetermined threshold.

[0011] In an exemplary embodiment, when the business environment score is greater than or equal to a predetermined threshold, the method further includes at least one of the following: issuing a target announcement, wherein the target announcement is used to announce that the business environment score of the target area is greater than or equal to the predetermined threshold, and the target announcement supports management through a target interface; generating and initiating a target task, wherein the target task is used to prompt a second person in charge of the target area to adjust the target evaluation index, wherein the target task includes an initiator and a recipient, the initiator includes a first person in charge, and the recipient includes the second person in charge, and the target task supports management of the first person in charge and the second person in charge through the target interface.

[0012] In an exemplary embodiment, obtaining the target evaluation index of the target area includes: establishing a connection with a third-party platform; obtaining a fourth evaluation index through the third-party platform; and determining the fourth evaluation index as an index included in the target evaluation index.

[0013] In an exemplary embodiment, inputting the first key factor into the target model to determine the business environment of the target area through the target model includes: using a trend analysis model to determine the business environment trend of the business environment area; and displaying the business environment trend on a display interface.

[0014] In an exemplary embodiment, the method also includes at least one of the following: analyzing the target demand with the highest frequency included in the received demands, and determining the analysis results corresponding to the target demand; managing the target projects indicated by the received project instructions, wherein the target projects include projects for determining the business environment of the area indicated in the project instructions; and managing indicator data associated with the target evaluation indicators.

[0015] According to another embodiment of the present invention, a device for determining a business environment is provided, comprising: an acquisition module, for acquiring a target evaluation index of a target area upon receiving an instruction to evaluate the business environment of the target area; a first input module, for inputting the target evaluation index into a comprehensive network model to obtain a first key factor included in the target evaluation index, wherein the comprehensive network model comprises at least two screening sub-models, and the screening sub-model is used to screen out the first key factor from the target evaluation index; a second input module, for inputting the first key factor into a target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training an initial model with acquired historical key indicators and historical business environment.

[0016] According to yet another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any one of the above method embodiments when running.

[0017] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0018] According to yet another embodiment of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0019] Through the present invention, when receiving an instruction to evaluate the business environment of a target area, the target evaluation index of the target area can be obtained, and the first key factor in the target evaluation index can be obtained by inputting the target evaluation index into a comprehensive network model containing at least two screening sub-models for training. Then the first key factor is input into the target model obtained by training the historical key indicators for training, and the business environment of the target area can be determined by the target model. Since it is possible to analyze according to all the target evaluation indicators of the target area, and then comprehensively analyze the influence relationship between different target evaluation indicators, the overall grasp of the development of the business environment can be achieved through the first key factor screened out. Therefore, the problem of inaccurate evaluation of the business environment in the related art can be solved, and the effect of improving the accuracy of evaluating the business environment can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a hardware structure block diagram of a mobile terminal according to a method for determining a business environment according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of a method for determining a business environment according to an embodiment of the present invention;

[0022] Figure 3 is an architecture diagram of a business analysis and management platform according to an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of task management of a normal supervision and verification module according to an embodiment of the present invention;

[0024] Figure 5 This is a schematic diagram of the management of responsible persons in the normal supervision and verification module according to an embodiment of the present invention. Figure 1 ;

[0025] Figure 6 This is a schematic diagram of the management of responsible persons in the normal supervision and verification module according to an embodiment of the present invention. Figure 2 ;

[0026] Figure 7 is a schematic diagram of early warning analysis according to an embodiment of the present invention;

[0027] Figure 8 is a schematic diagram of supporting materials according to an embodiment of the present invention;

[0028] Fig. 9 4 is a structural block diagram of a device for determining a business environment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and in combination with the embodiments.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0031] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal of a method for determining a business environment according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0032] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the business environment in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0033] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0034] In this embodiment, a method for determining a business environment is provided. Figure 2 is a flow chart of a method for determining a business environment according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0035] Step S202, upon receiving an instruction to evaluate the business environment of a target area, obtaining a target evaluation index of the target area;

[0036] Step S204, inputting the target evaluation index into the comprehensive network model to obtain the first key factor included in the target evaluation index, wherein the comprehensive network model includes at least two screening sub-models, and the screening sub-models are used to screen out the first key factor in the target evaluation index;

[0037] Step S206, inputting the first key factor into the target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training the initial model through the acquired historical key indicators and historical business environment.

[0038] In the above embodiment, the business environment can be understood as the sum of various conditions and factors faced by enterprises in the process of establishing and operating in the target area. A healthy, fair and transparent business environment plays an irreplaceable role in stimulating the vitality of enterprises and promoting economic growth. A good business environment can promote economic development and improve the competitiveness of enterprises. The target evaluation indicators can be understood as indicators used to evaluate the business environment of the target area, which can include starting a business, obtaining a building permit, obtaining electricity, registering property, obtaining credit, protecting minority investors, paying taxes, cross-border trade, enforcing contracts and handling bankruptcy.

[0039] In the above embodiment, when receiving an evaluation of the business environment of the target area, the target evaluation index of the target area is input into the comprehensive network model for analysis, and the key factors in the target evaluation index can be determined. Among them, the comprehensive network model can be understood as a mathematical model, which can quantitatively and qualitatively analyze the degree of influence of each target evaluation index on the business environment, and the target evaluation index with a higher degree of influence can be determined as a key factor (i.e., the above-mentioned first key factor). The target model can be understood as a mathematical model obtained by training the key indicators in the historical indicators of the target area (i.e., the above-mentioned historical key indicators) and the business environment of the historical evaluation (i.e., the above-mentioned historical business environment). The key factors of the target evaluation index are input into the target model, and the current business environment of the target area can be determined based on the target model. Combined with the mathematical model, data from different sources, such as statistical data of relevant institutions, business data of enterprises, and market research data, can be more effectively integrated, so that a more comprehensive business environment assessment can be provided.

[0040] Through the present invention, when receiving an instruction to evaluate the business environment of a target area, the target evaluation index of the target area can be obtained, and the first key factor in the target evaluation index can be obtained by inputting the target evaluation index into a comprehensive network model containing at least two screening sub-models for training. Then the first key factor is input into the target model obtained by training the historical key indicators for training, and the business environment of the target area can be determined by the target model. Since it is possible to analyze according to all the target evaluation indicators of the target area, and then comprehensively analyze the influence relationship between different target evaluation indicators, the overall grasp of the development of the business environment can be achieved through the first key factor screened out. Therefore, the problem of inaccurate evaluation of the business environment in the related art can be solved, and the effect of improving the accuracy of evaluating the business environment can be achieved.

[0041] Optionally, the execution subject of the above steps may be a processor, a terminal, or a server, but is not limited thereto.

[0042] In an exemplary embodiment, the target evaluation index is input into the comprehensive network model to obtain the first key factor included in the target evaluation index, which includes: inputting the target evaluation index into the first screening sub-model included in the comprehensive network model to obtain the second key factor, wherein the first screening sub-model includes a multivariate regression model; inputting the target evaluation index into the second screening sub-model included in the comprehensive network model to obtain the third key factor, wherein the second screening sub-model includes a factor analysis model; and determining the first key factor based on the second key factor and the third key factor.

[0043] In the above embodiment, the comprehensive network model may include multiple screening sub-models, such as regression model and factor analysis model. Among them, the regression model can be understood as analyzing the influence of the independent variable on the dependent variable by establishing the relationship between the dependent variable and the independent variable, that is, the regression model can be used to analyze the influence of the target evaluation index on the business environment, so as to determine which target evaluation index (i.e., the second key factor) is the key factor affecting the business environment; the factor analysis model can be understood as a data dimensionality reduction technology, which can extract the main factors affecting the business environment (i.e., the third key factor) from a large number of target evaluation indicators, and can improve the scientificity and objectivity of the evaluation while simplifying the evaluation system.

[0044] In the above embodiment, the union of the second key factor and the third key factor can be determined as the first key factor, and the second key factor and the third key factor can be further screened. For example, the impact score of the evaluation indicator in the second key factor and the third key factor can be determined, and the evaluation indicator with an impact score greater than a preset threshold can be determined as the first key factor; the impact scores of the evaluation indicators in the second key factor and the third key factor can also be sorted, and the evaluation indicators with topN impact scores can be screened out, and the topN evaluation indicators can be determined as the first key factor. Among them, the preset threshold can be determined according to the business goals set by different enterprises, and can be 80 points or 90 points, but not limited to this. TopN can be the top10 indicators before sorting, or the top20 indicators before sorting, but not limited to this.

[0045] In an exemplary embodiment, obtaining a target evaluation index for a target area includes: obtaining a first evaluation index for the target area through a big data model; performing data processing on the first evaluation index through a target technology to obtain a second evaluation index; and processing abnormal data included in the second evaluation index through a data processing model to obtain the target evaluation index.

[0046] In the above embodiment, a large amount of data can be obtained from various channels through a big data model, for example: data disclosed by relevant institutions, business data of enterprises, time survey data, etc., to improve the comprehensiveness and accuracy of the data. By screening a large amount of data, multiple first evaluation indicators of the target area can be obtained. Computer technology (i.e., the above target technology) can be used to process the data in the first evaluation indicator. Since the acquired data usually has problems of incompleteness and inconsistency, the abnormal data included in the second evaluation indicator can be processed through a data processing model to improve the data quality. Among them, the data processing model can be used for data cleaning and preprocessing, which can include missing values, outliers, data standardization, etc.

[0047] In an exemplary embodiment, obtaining a target evaluation index of a target area includes: obtaining a third evaluation index of the target area; adjusting the third evaluation index based on a received index management instruction to obtain a fourth evaluation index; and determining the fourth evaluation index as the target evaluation index.

[0048] In the above embodiment, the evaluation index in the target area can also be adjusted. Figure 3 is a diagram of the business analysis and management platform architecture according to an embodiment of the present invention. Figure 3 As shown, the indicator analysis and detection module can analyze various evaluation indicators and indicator details of different target areas. When receiving the indicator management instruction to adjust the third evaluation indicator, the third evaluation indicator can be added, deleted, modified, and checked. The indicator system can also be set and managed, and the adjusted fourth evaluation indicator can be determined as the target evaluation indicator.

[0049] In an exemplary embodiment, after inputting the first key factor into the target model to determine the business environment of the target area through the target model, the method further includes: determining the business environment score; and performing an alarm operation when the business environment score is greater than or equal to a predetermined threshold.

[0050] In the above embodiment, the indicator analysis detection module can also score the business environment of the target area through the target model. When the business environment score is greater than or equal to the predetermined threshold, the warning state is updated and the alarm operation can be performed, wherein the target model can be a multi-criteria decision analysis model (MCDA, Multi-Criteria Decision Analysis), which can be understood as a method of conducting decision analysis by integrating multiple indicators, that is, the influence of each indicator can be comprehensively considered to obtain a more comprehensive evaluation result. The preset threshold can be determined according to the business goals set by different enterprises, which can be 60 points, 65 points, or 70 points, etc., but is not limited to this.

[0051] In an exemplary embodiment, when the business environment score is greater than or equal to a predetermined threshold, the method further includes at least one of the following: issuing a target announcement, wherein the target announcement is used to announce that the business environment score of the target area is greater than or equal to the predetermined threshold, and the target announcement supports management through a target interface; generating and initiating a target task, wherein the target task is used to prompt a second person in charge of the target area to adjust the target evaluation index, wherein the target task includes an initiator and a recipient, the initiator includes a first person in charge, and the recipient includes the second person in charge, and the target task supports management of the first person in charge and the second person in charge through the target interface.

[0052] In the above embodiment, continue to refer to Figure 3 When the business environment score is greater than or equal to a predetermined threshold, the normal supervision and verification module can issue a target announcement and manage the announcement content to announce that the current business environment score is greater than or equal to the predetermined threshold. Figure 4 is a schematic diagram of task management of a normal supervision and verification module according to an embodiment of the present invention, Figure 5 This is a schematic diagram of the management of responsible persons in the normal supervision and verification module according to an embodiment of the present invention. Figure 1 , Figure 6 This is a schematic diagram of the management of responsible persons in the normal supervision and verification module according to an embodiment of the present invention. Figure 2 ,like Figure 4-6 As shown, the supervision tasks (i.e. the above-mentioned target tasks) triggered by the alarm operation can also be managed. The task start and end processes are: supervision-urging-reply-approval-verification-completion. The initiator (i.e. the above-mentioned first person in charge) and the recipient (i.e. the above-mentioned second person in charge) can communicate online to effectively reach the adjustment of the target evaluation indicators. When the task is completed, it can also support the management of the first person in charge and the second person in charge.

[0053] In the above embodiment, the score of the target evaluation indicator can also be monitored. When the target evaluation indicator reaches the threshold, an alarm operation will be executed, and an indicator modification supervision reminder can also be performed (the system sends a notification message). Figure 7 is a schematic diagram of early warning analysis according to an embodiment of the present invention, such as Figure 7 As shown, the relevant responsible agencies of the indicator will also be notified by SMS or email. Different target evaluation indicators correspond to one or more relevant responsible agencies. You can click the "Notify" button to automatically generate an early warning notification and send it to the corresponding relevant responsible agencies. You can filter the indicators that have been warned. After clicking the Supervision button, the system will directly send SMS or email notifications to the relevant responsible agencies corresponding to the indicator.

[0054] In an exemplary embodiment, obtaining the target evaluation index of the target area includes: establishing a connection with a third-party platform; obtaining a fourth evaluation index through the third-party platform; and determining the fourth evaluation index as an index included in the target evaluation index.

[0055] In the above embodiment, see Figure 3 The market subject monitoring module can also be connected to the associated module (i.e. the third-party platform mentioned above) to determine the received third-party data (i.e. the fourth evaluation indicator) as the indicator included in the target evaluation indicator. In addition, the fourth evaluation indicator can also be used to analyze the growth rate of market subjects, the number of industry types, the proportion, and the comprehensive analysis (i.e. the subject overview in the figure), and can also query relevant data by month, quarter, and year (i.e. the same-month and month-on-month analysis in the figure).

[0056] In an exemplary embodiment, inputting the first key factor into the target model to determine the business environment of the target area through the target model includes: using a trend analysis model to determine the business environment trend of the business environment area; and displaying the business environment trend on a display interface.

[0057] In the above embodiment, a machine learning model (i.e., the above trend analysis model) can be used to analyze a large amount of historical data to predict the development trend of the future business environment. The development trend of the business environment can also be displayed on the display interface so that relevant technical personnel can make optimization suggestions. Among them, the machine learning model can handle complex nonlinear relationships and make more accurate predictions and classifications. For example: a classification algorithm can be used to predict whether an enterprise can complete registration within the specified time; a clustering algorithm can be used to perform cluster analysis on the business environment of different target areas.

[0058] In an exemplary embodiment, the method also includes at least one of the following: analyzing the target demand with the highest frequency included in the received demands, and determining the analysis results corresponding to the target demand; managing the target projects indicated by the received project instructions, wherein the target projects include projects for determining the business environment of the area indicated in the project instructions; and managing indicator data associated with the target evaluation indicators.

[0059] In the above embodiment, continue to refer to Figure 3 The business demands perception platform can count the received business demands and display the theme of each business demand. It can analyze the target demands with the highest frequency to obtain the corresponding analysis results and provide feedback. It can also manage all business demands according to the keywords of the business demands. In this embodiment, the business-specific analysis platform can classify the target evaluation indicators into projects, manage special projects when receiving project instructions, and display and analyze the project list. In this embodiment, the material supporting verification module can connect with relevant institutions to manage the supporting materials (i.e., the above-mentioned indicator data) of relevant institutions at all levels. Figure 8 is a schematic diagram of supporting materials according to an embodiment of the present invention, such as Figure 8 As shown, it also supports functions such as query, viewing, and adding of supporting materials. Among them, supporting materials can be understood as the terms, matter guidelines, system screenshots, and database screenshots of business-related institutions. Providing supporting materials and verifying them is an important part of the assessment of the business environment. Through intelligent policy matching and supporting material management functions, the efficiency of supporting and filling in indicators can be improved, and supporting materials can be uniformly managed and learned to achieve smooth completion of filling.

[0060] In an exemplary embodiment, the business analysis and management platform can convert the relevant data obtained through the crawler system and the business system into target evaluation indicators of business data through the ledger center module, forming a multi-dimensional analysis of the business environment. Among them, the relevant data may include user data, public network data, ledger data, business data, etc. Through the data application matrix such as comprehensive overview, business analysis, business research and judgment, early warning supervision, appeal perception, business screen, etc., the business environment can be evaluated in all aspects. The real-time business monitoring module can display the target evaluation data in all directions, and the business early warning and judgment module can also conduct research and judgment settings on the target evaluation data, and perform forecast analysis and display based on the ever-changing business environment. The business environment is crucial to the growth and economic development of enterprises. The methods for evaluating and optimizing the business environment are constantly developing, and the combination of computer technology and mathematical models has become one of the most effective means at present. Compared with the method that relies solely on computer technology, the method that combines computer technology with mathematical models has obvious advantages in data processing, analysis capabilities, prediction accuracy and decision support. Compared with relying solely on computer technology, this combined method can process and analyze data more efficiently, improve prediction accuracy, and enhance decision support.

[0061] In the above embodiments, pure computer technology is more about processing and storing data, while combined with mathematical models, causal analysis can be performed to reveal the mutual influence between various factors in the business environment. In addition, mathematical models such as machine learning algorithms can identify complex patterns and trends in data, and can make more accurate predictions and classifications. The business environment is a complex system that changes dynamically. There are complex nonlinear relationships between many factors in the business environment, which are difficult to accurately handle by relying solely on computer technology. Computer technology combined with mathematical models can build dynamic system models, simulate the changing process of the business environment, and improve the accuracy of predictions. Mathematical models can help simulate and analyze different scenarios and evaluate the potential impact of different policy measures. For example, support vector machines and neural networks can better handle these nonlinear relationships and improve the accuracy of predictions. In addition, computer technology combined with mathematical models can optimize the system and provide scientific optimization suggestions for policy makers. Computer technology can also visualize the results of complex data analysis to help decision makers intuitively understand the current situation and changing trends of the business environment. Dynamic visualization tools can monitor changes in the business environment in real time, capture abnormal situations in a timely manner, and provide early warning information. Among them, mathematical models such as the analytic hierarchy process (AHP) can help decision makers determine the priority of optimization measures, allocate resources reasonably, and improve the effectiveness of policy implementation. The most intuitive effect of the improvement of the business environment is to increase the growth rate of market entities, especially the actual number of enterprises can be clearly seen to increase significantly; market entity monitoring can include the distribution of different types of market entities, statistical analysis of market entities according to industrial structure, checking the year-on-year and month-on-month growth rates of market entities, and real-time monitoring of the number of market entities, registered capital, and the number of bankruptcy entities. The business analysis and management platform can display the proportion of different types of enterprises (domestic enterprises, foreign-invested enterprises, private enterprises, farmers' cooperatives and individual businesses, etc.), the distribution statistics of the three industries (primary industry, secondary industry and tertiary industry), the capital proportion (the total registered capital of private enterprises, individual businesses and farmers' cooperatives), the data of newly registered enterprises, and the proportion of online processing and windows, etc. It can also display the comparison chart of the number of enterprise establishment processes in different regions, the comparison chart of enterprise establishment cost control, the comparison chart of enterprise establishment index, the time consumption analysis and the convenience evaluation comparison chart. It can also display the cost control amount, link monitoring, construction quality control growth rate, power supply reliability and electricity price transparency index, time consumption analysis and convenience evaluation in different regions.

[0062] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0063] In this embodiment, a device for determining a business environment is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0064] Fig. 9 is a structural block diagram of a device for determining a business environment according to an embodiment of the present invention, such as Fig. 9 As shown, the device comprises:

[0065] An acquisition module 902 is used to acquire a target evaluation index of a target area upon receiving an instruction to evaluate the business environment of the target area;

[0066] A first input module 904 is used to input the target evaluation index into the comprehensive network model to obtain a first key factor included in the target evaluation index, wherein the comprehensive network model includes at least two screening sub-models, and the screening sub-model is used to screen out the first key factor in the target evaluation index;

[0067] The second input module 906 is used to input the first key factor into the target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training the initial model through the acquired historical key indicators and historical business environment.

[0068] In an exemplary embodiment, the first input module 904 can input the target evaluation index into the comprehensive network model to obtain the first key factor included in the target evaluation index in the following manner: input the target evaluation index into the first screening sub-model included in the comprehensive network model to obtain the second key factor, wherein the first screening sub-model includes a multivariate regression model; input the target evaluation index into the second screening sub-model included in the comprehensive network model to obtain the third key factor, wherein the second screening sub-model includes a factor analysis model; determine the first key factor based on the second key factor and the third key factor.

[0069] In an exemplary embodiment, the acquisition module 902 can obtain the target evaluation index of the target area in the following manner: obtain the first evaluation index of the target area through a big data model; perform data processing on the first evaluation index through a target technology to obtain a second evaluation index; process the abnormal data included in the second evaluation index through a data processing model to obtain the target evaluation index.

[0070] In an exemplary embodiment, the acquisition module 902 can obtain the target evaluation indicator of the target area in the following manner: obtain a third evaluation indicator of the target area; adjust the third evaluation indicator based on the received indicator management instruction to obtain a fourth evaluation indicator; and determine the fourth evaluation indicator as the target evaluation indicator.

[0071] In an exemplary embodiment, the device can be used to, after inputting the first key factor into the target model to determine the business environment of the target area through the target model: determine the business environment score; and perform an alarm operation when the business environment score is greater than or equal to a predetermined threshold.

[0072] In an exemplary embodiment, the device can also implement at least one of the following when the business environment score is greater than or equal to a predetermined threshold: publish a target announcement, wherein the target announcement is used to announce that the business environment score of the target area is greater than or equal to the predetermined threshold, and the target announcement supports management through the target interface; generate and initiate a target task, wherein the target task is used to prompt the second person in charge of the target area to adjust the target evaluation index, wherein the target task includes an initiator and a recipient, the initiator includes a first person in charge, and the recipient includes the second person in charge, and the target task supports management of the first person in charge and the second person in charge through the target interface.

[0073] In an exemplary embodiment, the acquisition module 902 can acquire the target evaluation index of the target area in the following manner: establish a connection with a third-party platform; acquire a fourth evaluation index through the third-party platform; and determine the fourth evaluation index as an index included in the target evaluation index.

[0074] In an exemplary embodiment, the second input module 906 can input the first key factor into the target model in the following manner to determine the business environment of the target area through the target model: determine the business environment trend of the business environment area using a trend analysis model; and display the business environment trend on a display interface.

[0075] In an exemplary embodiment, the device can also be used for at least one of the following: analyzing the target demand with the highest frequency included in the received demands, and determining the analysis result corresponding to the target demand; managing the target project indicated by the received project instruction, wherein the target project includes a project for determining the business environment of the area indicated in the project instruction; managing the indicator data associated with the target evaluation indicator.

[0076] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0077] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0078] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0079] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0080] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0081] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the steps of the method in each embodiment of the present application when the computer program is executed by a processor.

[0082] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0083] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0084] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for determining a business environment, characterized in that: include: Upon receiving an instruction to conduct a business environment assessment on a target area, obtaining target assessment indicators for the target area; Inputting the target evaluation index into a comprehensive network model to obtain a first key factor included in the target evaluation index, wherein the comprehensive network model includes at least two screening sub-models, and the screening sub-models are used to screen out the first key factor in the target evaluation index; The first key factor is input into a target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training an initial model through obtaining historical key indicators and historical business environment.

2. The method according to claim 1, characterized in that The target evaluation index is input into the comprehensive network model, and the first key factor included in the target evaluation index includes: Inputting the target evaluation index into a first screening sub-model included in the comprehensive network model to obtain a second key factor, wherein the first screening sub-model includes a multivariate regression model; Inputting the target evaluation index into a second screening sub-model included in the comprehensive network model to obtain a third key factor, wherein the second screening sub-model includes a factor analysis model; The first key factor is determined based on the second key factor and the third key factor.

3. The method according to claim 1, characterized in that The target evaluation indicators for obtaining the target area include: Acquire a first evaluation index of the target area through a big data model; Performing data processing on the first evaluation indicator by using a target technology to obtain a second evaluation indicator; The abnormal data included in the second evaluation index is processed by a data processing model to obtain the target evaluation index.

4. The method according to claim 1, characterized in that The target evaluation indicators for obtaining the target area include: Acquire a third evaluation index of the target area; Adjusting the third evaluation indicator based on the received indicator management instruction to obtain a fourth evaluation indicator; The fourth evaluation index is determined as the target evaluation index.

5. The method according to claim 1, characterized in that After inputting the first key factor into the target model to determine the business environment of the target area through the target model, the method further includes: determining said Doing Business score; When the business environment score is greater than or equal to a predetermined threshold, an alarm operation is performed.

6. The method according to claim 5, characterized in that When the business environment score is greater than or equal to a predetermined threshold, the method further includes at least one of the following: Publishing a target announcement, wherein the target announcement is used to announce that the business environment score of the target area is greater than or equal to the predetermined threshold, and the target announcement supports management through the target interface; Generate and initiate a target task, wherein the target task is used to prompt the second person in charge of the target area to adjust the target evaluation index, wherein the target task includes an initiator and a receiver, the initiator includes a first person in charge, and the receiver includes the second person in charge, and the target task supports management of the first person in charge and the second person in charge through the target interface.

7. The method according to claim 1, characterized in that The target evaluation indicators for obtaining the target area include: Establish connections with third-party platforms; Acquire a fourth evaluation indicator through the third-party platform; The fourth evaluation index is determined as an index included in the target evaluation index.

8. The method according to claim 1, characterized in that: Inputting the first key factor into a target model to determine the business environment of the target area through the target model includes: Determining business environment trends in the business environment area using a trend analysis model; The business environment trends are displayed on a display interface.

9. The method according to claim 1, characterized in that: The method further comprises at least one of the following: Analyze the target demand with the highest frequency among the received demands, and determine the analysis result corresponding to the target demand; Managing the target projects indicated by the received project instructions, wherein the target projects include projects for determining the business environment of the area indicated in the project instructions; Managing indicator data associated with the target evaluation indicator.

10. A device for determining a business environment, characterized in that: include: An acquisition module, configured to acquire target evaluation indicators of a target area upon receiving an instruction to evaluate the business environment of the target area; A first input module, used for inputting the target evaluation index into a comprehensive network model to obtain a first key factor included in the target evaluation index, wherein the comprehensive network model includes at least two screening sub-models, and the screening sub-models are used for screening out the first key factor in the target evaluation index; The second input module is used to input the first key factor into the target model to determine the business environment of the target area through the target model, wherein the target model is obtained by training the initial model through the acquired historical key indicators and historical business environment.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 9 when executed.

12. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 9.

13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method described in any one of claims 1 to 9 are implemented.

Images