Real estate industry-oriented enterprise management method, equipment and medium

Abstract

The invention discloses a real estate industry-oriented enterprise management method and device and a medium, and the method comprises the steps: obtaining the basic enterprise information of a real estate enterprise from a preset data source, processing the basic enterprise information, and obtaining a processed enterprise portrait data set; determining a plurality of analysis dimensions corresponding to the enterprise portrait data set, and analyzing the enterprise portrait data set based on analysis models corresponding to the analysis dimensions to obtain enterprise portraits formed by enterprise evaluation results corresponding to different analysis dimensions; according to the enterprise portrait, determining a target recommendation type of the real estate enterprise, generating a corresponding recommendation strategy for the target recommendation type, and recommending the recommendation strategy to the real estate enterprise; wherein the recommendation strategy comprises an investment management strategy, an operation strategy and a resource configuration strategy; and based on a preset risk early warning mechanism, carrying out risk detection on the basic enterprise information so as to carry out risk early warning on the real estate enterprise according to an obtained risk detection result.

Description

Technical Field

[0001] The present application relates to the technical field of data processing for management purposes, and specifically to an enterprise management method, equipment and medium for the real estate industry. Background Art

[0002] As an important part of the economy, the real estate market has a significant impact on the country's economic development and social stability. However, with the expansion of the market scale and the complexity of the market environment, its risk factors include market demand fluctuations, policy changes, the impact of economic cycles, and corporate management capabilities. At the same time, factors such as the management level, financial status, and market strategy of real estate companies themselves also have an important impact on the company's operating risks and market performance. These factors pose a severe test to the operating risks and market performance of real estate companies. Therefore, how to effectively identify, evaluate, and manage these risks has become a key issue that real estate companies need to solve in order to achieve sustainable development.

[0003] At present, real estate companies have made some progress in management, such as assisting decision-making through data collection and analysis. However, due to the limitations of data analysis, existing recommended strategies are often relatively general and lack precise guidance for the actual situation of specific companies. This not only reduces the effectiveness of the strategy, but also may increase the operating costs and risks of the company. In addition, many real estate companies have not yet established a complete risk warning mechanism and are unable to monitor and warn of risks in real time. This leads to companies often being in a passive position when facing risks and finding it difficult to take effective measures to prevent and respond. Summary of the invention In order to solve the above problems, this application proposes an enterprise management method for the real estate industry, including: Obtaining basic enterprise information of a real estate enterprise from a preset data source, and processing the basic enterprise information to obtain a processed enterprise portrait data set; Determine multiple analysis dimensions corresponding to the enterprise portrait data set, analyze the enterprise portrait data set based on the analysis model corresponding to the analysis dimensions, and obtain an enterprise portrait composed of enterprise evaluation results corresponding to different analysis dimensions; wherein the enterprise evaluation results include enterprise risks, market trends and enterprise competitiveness; According to the enterprise portrait, determine the target recommendation type of the real estate enterprise, generate a corresponding recommendation strategy for the target recommendation type, and recommend the recommendation strategy to the real estate enterprise; wherein the recommendation strategy includes an investment management strategy, an operating strategy, and a resource allocation strategy; Based on a preset risk warning mechanism, risk detection is performed on the basic enterprise information, so as to issue a risk warning to the real estate enterprise according to the obtained risk detection results.

[0004] In one implementation of the present application, based on the analysis model corresponding to the analysis dimension, the enterprise portrait data set is analyzed to obtain an enterprise portrait consisting of enterprise evaluation results corresponding to different analysis dimensions, specifically including: The analysis model includes a risk assessment model, a market trend prediction model and a competitiveness analysis model; Based on the risk assessment model, risk data corresponding to each risk factor is extracted from the enterprise portrait data set, and the risk probability corresponding to the risk factor is analyzed according to the risk data, and the correlation between different risk factors is analyzed to determine the designated risk factors with a correlation relationship; wherein the risk data includes credit risk data, market risk data and operating risk data; Based on the market trend prediction model, the market data in the enterprise portrait data set is trend analyzed by LSTM technology to obtain the market trend corresponding to the real estate industry; Based on the competitiveness analysis model, a competitiveness index corresponding to the evaluation of the enterprise competitiveness is determined, and through a preset evaluation method, according to the competitiveness index, the enterprise competitiveness score corresponding to the real estate enterprise is determined.

[0005] In one implementation of the present application, the enterprise competitiveness score corresponding to the real estate enterprise is determined according to the competitiveness index by a preset evaluation method, specifically including: The evaluation methods include tomographic analysis method and multi-attribute decision-making method; Based on the hierarchical analysis method, multiple analysis levels are constructed for conducting competitiveness analysis on the real estate enterprise; wherein the analysis levels include a target level, a criterion level consisting of multiple competitiveness indicators, and a solution level consisting of indicator scores corresponding to the competitiveness indicators; Analyzing the enterprise competitiveness corresponding to the real estate enterprise through the multiple analysis levels to obtain a corresponding enterprise competitiveness score; Based on the multi-attribute decision-making method, determine the index scores of different real estate enterprises under each competitiveness index, and construct a decision matrix corresponding to the real estate enterprise according to the index scores; wherein the row attribute of the decision matrix is ​​the competitiveness index, the column attribute is the real estate enterprise, and each element represents the index score; Corresponding indicator weights are allocated to the competitiveness indicators, and weighted sums are performed on the indicator scores according to the indicator weights to obtain the enterprise competitiveness score corresponding to each real estate enterprise.

[0006] In one implementation of the present application, the enterprise competitiveness corresponding to the real estate enterprise is analyzed through the multiple analysis levels to obtain a corresponding enterprise competitiveness score, specifically including: For the multiple competitiveness indicators in the criterion layer, pairing and evaluating different competitiveness indicators to determine the relative importance scores between the different competitiveness indicators; According to the relative importance score, a judgment matrix is ​​constructed, and the characteristic vector corresponding to the competitiveness indicator is calculated according to the judgment matrix to obtain the indicator weight corresponding to each competitiveness indicator; wherein each element in the judgment matrix represents the relative importance score of the competitiveness indicator relative to another competitiveness indicator; The enterprise competitiveness score corresponding to the real estate enterprise is calculated according to the indicator weight and the indicator data in the solution layer.

[0007] In one implementation of the present application, determining the target recommendation type of the real estate enterprise according to the enterprise portrait specifically includes: The investment management strategy includes investment strategy and risk management strategy; According to the enterprise risk and the market trend, determining the target recommendation type required by the real estate enterprise as investment strategy recommendation or risk management strategy recommendation; Analyze the market trends and the competitiveness of the enterprises to determine whether they need to be optimized, and if so, determine the evaluation results of the designated enterprises that need to be optimized; According to the evaluation results of the designated enterprise, the target recommendation type corresponding to the real estate enterprise is determined; wherein the target recommendation types corresponding to the market trend and the enterprise competitiveness are business strategy recommendation and resource allocation strategy recommendation respectively.

[0008] In one implementation of the present application, generating a corresponding recommendation strategy for the target recommendation type specifically includes: In the case where the target recommendation type is the investment strategy recommendation or the risk management strategy recommendation, generating a candidate investment strategy or a candidate risk management strategy corresponding to the real estate enterprise, and screening the candidate investment strategy or the candidate risk management strategy to determine the investment strategy or risk management strategy corresponding to the real estate industry; In the case where the target recommendation type is the business strategy recommendation, generating a business strategy corresponding to the real estate enterprise according to the market trend and external market data; In the case where the target recommendation type is the resource allocation strategy recommendation, determining corresponding optimization targets and resource constraints according to the enterprise competitiveness score of the real estate enterprise; According to the optimization goal and the resource constraints, a linear programming model for realizing resource allocation is constructed, and based on the linear programming model, target decision variables are calculated to realize resource allocation for the real estate enterprise through the target decision variables.

[0009] In one implementation of the present application, the candidate investment strategies or the candidate risk management strategies are screened to determine the investment strategy or risk management strategy corresponding to the real estate industry, specifically including: For each candidate investment strategy or candidate risk management strategy, extract key information therein, obtain historical decision information of the real estate enterprise, and calculate the matching degree between the key information and the historical decision information; According to the matching degree, a corresponding investment strategy or risk management strategy is selected from the candidate investment strategies or the candidate risk management strategies.

[0010] In one implementation of the present application, based on the risk assessment model, risk data corresponding to each risk factor is extracted from the enterprise portrait data set, and the risk probability corresponding to the risk factor is analyzed according to the risk data, and the correlation between different risk factors is analyzed to determine the designated risk factor with a correlation relationship. The method further includes: When the enterprise portrait dataset changes, the prediction parameters of the risk assessment model are incrementally updated through incremental learning.

[0011] The embodiment of the present application provides an enterprise management device for the real estate industry, the device comprising: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an enterprise management method for the real estate industry as described in any of the above items.

[0012] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows: A business management method for the real estate industry as described in any of the above items.

[0013] The enterprise management method for the real estate industry proposed in this application can bring the following beneficial effects: By processing the basic information of enterprises, building a multi-dimensional enterprise portrait, and generating accurate recommendation strategies based on the portrait, the effectiveness and pertinence of the strategy are significantly improved, and the operating costs and risks of enterprises are reduced. At the same time, the introduction of a preset risk warning mechanism realizes real-time monitoring and warning of risks, enabling real estate enterprises to actively respond to risks and enhance their risk resistance. It promotes the intelligent and refined management of real estate enterprises and provides enterprises with more scientific and efficient decision-making support. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 A flowchart of an enterprise management method for the real estate industry provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of an enterprise management device for the real estate industry provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0016] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0017] like Figure 1 As shown, an enterprise management method for the real estate industry provided by an embodiment of the present application includes: S101: Obtain basic enterprise information of a real estate enterprise from a preset data source, process the basic enterprise information, and obtain a processed enterprise portrait data set.

[0018] In the real estate industry, in order to fully understand and grasp the operating status, market position and potential risks of enterprises, it is first necessary to obtain the basic enterprise information of real estate enterprises from the preset data source. Data sources include but are not limited to internal enterprise systems (such as ERP, CRM systems), public databases (such as enterprise credit information disclosure systems, industrial and commercial registration information), industry reports, market research data, and diversified channels such as social media. Basic enterprise information includes multi-dimensional data such as basic enterprise information, financial data, operating data, market research data, policies and regulations, credit records, competitor information and market dynamics. After obtaining basic enterprise information, the captured data needs to be cleaned, including removing duplicate data, filling missing values, standardizing data formats, etc. At the same time, data cleaning tools, data interpolation algorithms and outlier detection are used to deal with data quality issues. For the cleaned data, data association analysis is used to merge data from different sources to construct a comprehensive enterprise portrait data set. The enterprise portrait data set not only contains the basic information and key features of real estate enterprises, but also reveals the deep-seated laws and potential risks behind enterprise operations through data analysis and mining. Based on this data set, further multi-dimensional analysis, risk assessment and strategy recommendation can be carried out to provide strong support for the decision-making of real estate companies.

[0019] S102: Determine multiple analysis dimensions corresponding to the enterprise portrait data set, analyze the enterprise portrait data set based on the analysis model corresponding to the analysis dimensions, and obtain an enterprise portrait composed of enterprise evaluation results corresponding to different analysis dimensions; wherein the enterprise evaluation results include enterprise risks, market trends and enterprise competitiveness.

[0020] After determining the real estate enterprise portrait data set, in order to comprehensively evaluate the status of real estate enterprises, it is necessary to clarify multiple analysis dimensions and build corresponding analysis models based on these dimensions to deeply analyze the enterprise portrait data set. The analysis dimensions include the following aspects, namely enterprise risk, market trend adaptability and enterprise competitiveness. For each analysis dimension, a corresponding analysis model needs to be built to quantitatively evaluate the relevant information in the enterprise portrait data set. These models may include statistical models, machine learning models or expert systems, depending on the nature of the data and the complexity of the analysis. For example, when evaluating enterprise risk, a risk assessment model can be used to evaluate the enterprise's risk factors and risk probabilities; when evaluating market trend adaptability, time series analysis or regression analysis can be used to predict the enterprise's market share and sales growth rate; when evaluating enterprise competitiveness, a competitiveness analysis model can be used to quantify the enterprise's competitiveness. Based on different analysis models and enterprise portrait data sets, the enterprise data is deeply analyzed to obtain enterprise evaluation results corresponding to different analysis dimensions. These evaluation results will constitute a multi-dimensional portrait of the enterprise, fully displaying the enterprise's operating status, market position and potential risks.

[0021] In one embodiment, based on the risk assessment model, risk data corresponding to each risk factor is extracted from the enterprise portrait data set. Risk data can be divided into three types: credit risk data, market risk data, and operating risk data. Among them, credit risk data includes financial statements (such as balance sheets, income statements), credit ratings, debt records, etc., market risk data includes market dynamics (such as housing price fluctuations), market share, economic indicators (such as interest rates, GDP growth rates), etc., and operating risk data includes enterprise operation data (such as sales, business growth rate), competitive environment, business model, etc. According to the above risk data, the risk probability corresponding to the risk factor can be analyzed by regression prediction, and the correlation between different risk factors can be analyzed by calculating the Pearson correlation coefficient to determine the specified risk factors with a correlation. For example, there is a correlation between the financial health status of an enterprise and market risk. When conducting enterprise risk assessment, these related risk factors can be selected for comprehensive analysis to improve the comprehensiveness and accuracy of the analysis results. In addition, by calculating the basic statistics of risk data, such as mean, median, standard deviation, etc., it can help enterprises to more comprehensively grasp the distribution of enterprise risk data and understand the current risk status as a whole. It should be noted that as the enterprise portrait data set changes, such as changes in financial data and market information, the risk assessment model can incrementally update the model's prediction parameters based on incremental learning to reflect the latest market and enterprise conditions and improve the applicability of the model.

[0022] Based on the market trend prediction model, market data is extracted from the enterprise portrait data set, such as historical sales data, market share changes, industry reports, etc. The above market data is trend analyzed through LSTM technology to obtain the corresponding market trends of the real estate industry.

[0023] Based on the competitiveness analysis model, determine the competitiveness indicators corresponding to the evaluation of corporate competitiveness, such as market share, product quality, brand influence, customer satisfaction, innovation ability, etc. Then, through the preset evaluation methods, including hierarchical analysis method and multi-attribute decision-making model, determine the corresponding corporate competitiveness score of the real estate enterprise according to the competitiveness indicators. The competitiveness score can reflect the relative position and competitive advantage of the enterprise in the industry.

[0024] Specifically, based on the hierarchical analysis method, multiple analysis levels are constructed for analyzing the competitiveness of real estate enterprises. The analysis levels include a target level for determining the analysis target (enterprise competitiveness assessment), a criterion level consisting of multiple competitiveness indicators, and a solution level consisting of indicator scores corresponding to the competitiveness indicators. Through multiple analysis levels, the corresponding enterprise competitiveness of real estate enterprises is analyzed to obtain the corresponding enterprise competitiveness score.

[0025] Among them, when conducting enterprise competitiveness analysis, it is necessary to pair and evaluate different competitiveness indicators for multiple competitiveness indicators in the criterion layer to determine the relative importance scores between different competitiveness indicators. The relative importance score can be conducted by using a preset quantitative scoring standard through expert consultation, questionnaire survey or group discussion. When comparing, a 1-9 scale is used to indicate the importance of one indicator relative to another. According to the relative importance score, a judgment matrix is ​​constructed, and the elements of the judgment matrix represent the relative importance score of competitiveness indicator i relative to competitiveness indicator j. Next, the maximum eigenvalue root of the judgment matrix A and its corresponding eigenvector need to be calculated. After the eigenvector is normalized, the indicator weight corresponding to each competitiveness indicator can be obtained. Finally, according to the calculated indicator weight and the indicator data in the scheme layer (that is, the score of each enterprise on each competitiveness indicator), the competitiveness score of the real estate enterprise is calculated by weighted summation.

[0026] Based on the multi-attribute decision-making method, determine the index scores of different real estate companies under each competitiveness index. The index score can be a grade score based on expert opinions. According to the index score, construct the decision matrix corresponding to the real estate enterprise. The row attribute of the decision matrix is ​​the competitiveness index, the column attribute is the real estate enterprise, and each element represents the index score. Assign a corresponding index weight to each competitiveness index, and perform a weighted summation of the index scores according to the index weight to obtain the enterprise competitiveness score corresponding to each real estate enterprise.

[0027] S103: Determine the target recommendation type of the real estate enterprise based on the enterprise portrait, generate a corresponding recommendation strategy for the target recommendation type, and recommend the recommendation strategy to the real estate enterprise; wherein the recommendation strategy includes investment management strategy, operating strategy and resource allocation strategy.

[0028] After conducting risk assessment, market trend analysis and competitiveness analysis on real estate enterprises based on enterprise portraits, it is necessary to further determine the target recommendation type and generate corresponding recommendation strategies. The recommendation strategy aims to help real estate enterprises optimize their investment management, operations and resource allocation to enhance their overall competitiveness and market position, including investment management strategy, operation strategy and resource allocation strategy.

[0029] In one embodiment, the investment management strategy includes investment strategy and risk management strategy. It combines enterprise risks and market trends to analyze the types, degrees and possible impacts of risks currently faced by the enterprise. At the same time, it combines market trends (such as policy changes, industry cycles, competitive landscape, etc.) to determine whether the real estate enterprise needs to focus on investment strategy recommendations or risk management strategy recommendations. If the market trend is positive and the enterprise's risks are controllable, it may be more inclined to recommend investment strategies. If market uncertainty increases or the enterprise faces greater risks, it may focus more on risk management strategy recommendations.

[0030] Analyze market trends and corporate competitiveness, and determine whether the current real estate company needs to be optimized based on the future development direction of the market and the company's competitive position in the industry. If the company's performance in the market is poor or there are obvious shortcomings, it needs to be optimized. At this time, it is necessary to determine the evaluation results of the designated company to be optimized, and then determine the target recommendation type corresponding to the real estate company based on the evaluation results of the designated company. Among them, the target recommendation types corresponding to market trends and corporate competitiveness are business strategy recommendations and resource allocation strategy recommendations, respectively.

[0031] After determining the target recommendation type corresponding to the enterprise, it is necessary to generate the corresponding recommendation strategy in a targeted manner to provide personalized management suggestions for the enterprise. When the target recommendation type is investment strategy recommendation or risk management strategy recommendation, the candidate investment strategy or candidate risk management strategy corresponding to the real estate enterprise is generated. The recommended strategy needs to take into account user preferences and needs. Therefore, it is also necessary to screen the candidate investment strategy or candidate risk management strategy to determine the investment strategy or risk management strategy corresponding to the real estate industry.

[0032] Specifically, for each candidate investment strategy or candidate risk management strategy, extract the key information. Taking the investment strategy as an example, the key information may be information such as the type of investment product, risk level and expected return. Obtain the historical decision information of the real estate enterprise, which can be obtained through the enterprise's internal database, archives or relevant reports. Compare the key information with the historical decision information, and calculate the matching degree between the key information and the historical decision information. According to the matching degree, select the corresponding investment strategy or risk management strategy from the candidate investment strategy or candidate risk management strategy. Generally speaking, strategies with higher matching degrees are more likely to be suitable for the actual situation and needs of the enterprise. If the matching degrees of multiple strategies are similar and high, other factors (such as market trends, corporate strategic goals, etc.) can be further considered to make the final selection. By calculating the matching degree between the candidate strategies and the historical decision information of the enterprise, it is possible to more accurately identify which strategies are most in line with the decision preferences of the enterprise, which helps to ensure that the selected strategies are close to the actual needs of the enterprise, thereby improving the effectiveness of the strategy and the success rate of implementation.

[0033] When the target recommendation type is business strategy recommendation, the integrated strategy generator can be used to generate corresponding business strategies for real estate companies based on market trends and external market data, providing companies with suggestions on market expansion, product adjustments, etc.

[0034] When the target recommendation type is resource allocation strategy recommendation, the corresponding optimization target and resource constraint conditions are determined according to the enterprise competitiveness score of the real estate enterprise. For example, the optimization target can be minimizing profits, minimizing costs, etc., and the resource constraint conditions can be capital restrictions, production capacity, personnel quotas, etc. According to the optimization target and resource constraint conditions, a linear programming model for realizing resource allocation is constructed. Based on the linear programming model, the target decision variables are calculated to realize the resource allocation of the real estate enterprise through the target decision variables. Reasonable resource allocation can effectively improve the competitiveness of the enterprise in the market.

[0035] S104: Based on a preset risk warning mechanism, risk detection is performed on basic enterprise information to issue risk warnings to real estate enterprises based on the obtained risk detection results.

[0036] The embodiment of the present application can monitor enterprise and market data in real time based on a preset risk warning mechanism, conduct real-time risk monitoring of basic enterprise information, thereby identifying potential risks in the enterprise, and generate warning notifications to issue risk warnings to corresponding real estate enterprises.

[0037] Specifically, the risk early warning mechanism needs to clarify the various types of risks that real estate companies may face, such as market risk, credit risk, operational risk, legal risk, etc. Quantitatively evaluate each risk to determine its likelihood of occurrence and potential impact, and set a series of early warning indicators based on the risk assessment results. Set a reasonable threshold for each early warning indicator, and trigger an early warning when the indicator value exceeds or falls below the threshold. By establishing and effectively applying a preset risk early warning mechanism, real estate companies can identify and respond to potential risks more promptly and accurately, and ensure the company's stable operation and sustainable development.

[0038] The above are embodiments of the method proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0039] Figure 2 This is a schematic diagram of the structure of an enterprise management device for the real estate industry provided in an embodiment of the present application. Figure 2 As shown, including: at least one processor; and, at least one processor is communicatively connected to a memory; wherein, The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute any one of the above enterprise management methods for the real estate industry.

[0040] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows: A business management method for the real estate industry as in any of the above.

[0041] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0042] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0043] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0044] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0045] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0046] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0047] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0048] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0049] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0050] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0051] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A business management method for the real estate industry, characterized in that: The method comprises: Obtaining basic enterprise information of a real estate enterprise from a preset data source, and processing the basic enterprise information to obtain a processed enterprise portrait data set; Determine multiple analysis dimensions corresponding to the enterprise portrait data set, analyze the enterprise portrait data set based on the analysis model corresponding to the analysis dimensions, and obtain an enterprise portrait composed of enterprise evaluation results corresponding to different analysis dimensions; wherein the enterprise evaluation results include enterprise risks, market trends and enterprise competitiveness; According to the enterprise portrait, determine the target recommendation type of the real estate enterprise, generate a corresponding recommendation strategy for the target recommendation type, and recommend the recommendation strategy to the real estate enterprise; wherein the recommendation strategy includes an investment management strategy, an operating strategy, and a resource allocation strategy; Based on a preset risk warning mechanism, risk detection is performed on the basic enterprise information, so as to issue a risk warning to the real estate enterprise according to the obtained risk detection results.

2. The enterprise management method for the real estate industry according to claim 1, characterized in that: Based on the analysis model corresponding to the analysis dimension, the enterprise portrait data set is analyzed to obtain an enterprise portrait composed of enterprise evaluation results corresponding to different analysis dimensions, specifically including: The analysis model includes a risk assessment model, a market trend prediction model and a competitiveness analysis model; Based on the risk assessment model, risk data corresponding to each risk factor is extracted from the enterprise portrait data set, and the risk probability corresponding to the risk factor is analyzed according to the risk data, and the correlation between different risk factors is analyzed to determine the designated risk factors with a correlation relationship; wherein the risk data includes credit risk data, market risk data and operating risk data; Based on the market trend prediction model, the market data in the enterprise portrait data set is trend analyzed by LSTM technology to obtain the market trend corresponding to the real estate industry; Based on the competitiveness analysis model, a competitiveness index corresponding to the evaluation of the enterprise competitiveness is determined, and through a preset evaluation method, according to the competitiveness index, the enterprise competitiveness score corresponding to the real estate enterprise is determined.

3. The enterprise management method for the real estate industry according to claim 2, characterized in that: By means of a preset evaluation method, according to the competitiveness index, the enterprise competitiveness score corresponding to the real estate enterprise is determined, specifically including: The evaluation methods include tomographic analysis method and multi-attribute decision-making method; Based on the hierarchical analysis method, multiple analysis levels are constructed for conducting competitiveness analysis on the real estate enterprise; wherein the analysis levels include a target level, a criterion level consisting of multiple competitiveness indicators, and a solution level consisting of indicator scores corresponding to the competitiveness indicators; Analyzing the enterprise competitiveness corresponding to the real estate enterprise through the multiple analysis levels to obtain a corresponding enterprise competitiveness score; Based on the multi-attribute decision-making method, determine the index scores of different real estate enterprises under each competitiveness index, and construct a decision matrix corresponding to the real estate enterprise according to the index scores; wherein the row attribute of the decision matrix is ​​the competitiveness index, the column attribute is the real estate enterprise, and each element represents the index score; Corresponding indicator weights are allocated to the competitiveness indicators, and weighted sums are performed on the indicator scores according to the indicator weights to obtain the enterprise competitiveness score corresponding to each real estate enterprise.

4. The enterprise management method for the real estate industry according to claim 3, characterized in that: Through the multiple analysis levels, the enterprise competitiveness corresponding to the real estate enterprise is analyzed to obtain a corresponding enterprise competitiveness score, specifically including: For the multiple competitiveness indicators in the criterion layer, pairing and evaluating different competitiveness indicators to determine the relative importance scores between the different competitiveness indicators; According to the relative importance score, a judgment matrix is ​​constructed, and the characteristic vector corresponding to the competitiveness indicator is calculated according to the judgment matrix to obtain the indicator weight corresponding to each competitiveness indicator; wherein each element in the judgment matrix represents the relative importance score of the competitiveness indicator relative to another competitiveness indicator; The enterprise competitiveness score corresponding to the real estate enterprise is calculated according to the indicator weight and the indicator data in the solution layer.

5. The enterprise management method for the real estate industry according to claim 1, characterized in that: According to the enterprise portrait, the target recommendation type of the real estate enterprise is determined, including: The investment management strategy includes investment strategy and risk management strategy; According to the enterprise risk and the market trend, determining the target recommendation type required by the real estate enterprise as investment strategy recommendation or risk management strategy recommendation; Analyze the market trends and the competitiveness of the enterprises to determine whether they need to be optimized, and if so, determine the evaluation results of the designated enterprises that need to be optimized; According to the evaluation results of the designated enterprise, the target recommendation type corresponding to the real estate enterprise is determined; wherein the target recommendation types corresponding to the market trend and the enterprise competitiveness are business strategy recommendation and resource allocation strategy recommendation respectively.

6. The enterprise management method for the real estate industry according to claim 5, characterized in that: Generate a corresponding recommendation strategy for the target recommendation type, specifically including: In the case where the target recommendation type is the investment strategy recommendation or the risk management strategy recommendation, generating a candidate investment strategy or a candidate risk management strategy corresponding to the real estate enterprise, and screening the candidate investment strategy or the candidate risk management strategy to determine the investment strategy or risk management strategy corresponding to the real estate industry; In the case where the target recommendation type is the business strategy recommendation, generating a business strategy corresponding to the real estate enterprise according to the market trend and external market data; In the case where the target recommendation type is the resource allocation strategy recommendation, determining corresponding optimization targets and resource constraints according to the enterprise competitiveness score of the real estate enterprise; According to the optimization goal and the resource constraints, a linear programming model for realizing resource allocation is constructed, and based on the linear programming model, target decision variables are calculated to realize resource allocation for the real estate enterprise through the target decision variables.

7. The enterprise management method for the real estate industry according to claim 6, characterized in that: The candidate investment strategies or the candidate risk management strategies are screened to determine the investment strategy or risk management strategy corresponding to the real estate industry, specifically including: For each candidate investment strategy or candidate risk management strategy, extract key information therein, obtain historical decision information of the real estate enterprise, and calculate the matching degree between the key information and the historical decision information; According to the matching degree, a corresponding investment strategy or risk management strategy is selected from the candidate investment strategies or the candidate risk management strategies.

8. The enterprise management method for the real estate industry according to claim 2, characterized in that: Based on the risk assessment model, risk data corresponding to each risk factor is extracted from the enterprise portrait data set, and according to the risk data, the risk probability corresponding to the risk factor is analyzed, and the correlation between different risk factors is analyzed to determine the designated risk factors with a correlation relationship. The method further includes: When the enterprise portrait dataset changes, the prediction parameters of the risk assessment model are incrementally updated through incremental learning.

9. An enterprise management device for the real estate industry, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an enterprise management method for the real estate industry as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: An enterprise management method for the real estate industry as described in any one of claims 1 to 8.

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