A Smart Data Acquisition and Evaluation Method and System Based on Enterprise Environment

Abstract

The present application discloses an intelligent collection and evaluation method and system based on the enterprise environment, which obtains environmental element information by extracting environmental elements from enterprise environmental information; obtains transformation case information based on environmental element information; obtains transformation status and industry transformation demand factors based on transformation case information, and builds an evaluation model based on the transformation status and industry transformation demand factors corresponding to the transformation case information, collects enterprise information based on the information characteristics of the evaluation model training data, obtains enterprise collection information; inputs the enterprise collection information into the evaluation model for evaluation to obtain evaluation results; and determines transformation decision information based on the evaluation results. The intelligent evaluation of the collected enterprise information according to the model is achieved, thereby providing basic evaluation conditions for the digital transformation of the enterprise and realizing the technical effect of decision analysis. The basic evaluation conditions for the digital transformation of the enterprise are provided and the technical effect of decision analysis is realized.

Description

Technical Field

[0001] The present application relates to the field of digital transformation technology, and in particular to an intelligent collection and evaluation method and system based on an enterprise environment. Background Art

[0002] Entering the digital age, digitalization has penetrated into all walks of life. In order to cater to market development and keep pace with the times, many companies have made the corresponding choice of digital transformation. Digital transformation is based on digital conversion and digital upgrading, further touching the company's core business and adaptively transforming the business model. In the process of transformation, only when the company systematically redefines its business, including multi-directional redefinition of organizational activities, processes, business models and employee capabilities, should it also consider whether the characteristics of its own company are suitable for the direction of digital transformation, whether to proceed in all aspects or select a direction step by step. Don't blindly follow the trend, which sometimes backfires.

[0003] It is found that the above technology has at least the following technical problems:

[0004] The existing technology lacks transformation decision analysis based on enterprise characteristics and in line with the transformation factors of the overall environment. There is a technical problem that the transformation strategy does not match the enterprise status, resulting in transformation failure. Summary of the invention

[0005] The purpose of this application is to provide an intelligent collection and evaluation method and system based on the enterprise environment, in order to solve the technical problems in the prior art that there is a lack of transformation decision analysis based on enterprise characteristics that conforms to the transformation elements of the macro environment, and there is a technical problem that the transformation strategy does not match the enterprise status and causes the transformation to fail. It achieves the technical effect of intelligently evaluating the collected enterprise information according to the model, providing basic evaluation conditions for the digital transformation of the enterprise, and realizing decision analysis to improve the reliability of the transformation.

[0006] In view of the above problems, the embodiments of the present application provide an intelligent collection and evaluation method and system based on an enterprise environment.

[0007] In a first aspect, the present application provides an intelligent collection and evaluation method based on an enterprise environment, the method comprising: obtaining enterprise environment information based on enterprise information; extracting environmental elements from the enterprise environment information to obtain environmental element information; obtaining transformation case information based on the environmental element information; obtaining transformation status and industry transformation demand factors based on the transformation case information, and determining training data based on the transformation status and industry transformation demand factors corresponding to the transformation case information; constructing an evaluation model and training the evaluation model with the training data; based on the enterprise information, collecting enterprise information according to the information characteristics of the training data to obtain enterprise collection information; inputting the enterprise collection information into the evaluation model for evaluation to obtain evaluation results; and determining transformation decision information based on the evaluation results.

[0008] On the other hand, the present application also provides an intelligent collection and evaluation system based on an enterprise environment, which is used to execute the intelligent collection and evaluation method based on an enterprise environment as described in the first aspect, and the system includes:

[0009] A first obtaining unit, the first obtaining unit is used to obtain enterprise environment information according to the enterprise information;

[0010] A second obtaining unit, the second obtaining unit is used to extract environmental elements from the enterprise environmental information to obtain environmental element information;

[0011] A third obtaining unit, the third obtaining unit is used to obtain transformation case information based on the environmental factor information;

[0012] A first execution unit, the first execution unit is used to obtain a transformation state and an industry transformation demand factor according to the transformation case information, and determine training data based on the transformation state and the industry transformation demand factor corresponding to the transformation case information;

[0013] A second execution unit, the second execution unit is used to build an evaluation model and train the evaluation model through the training data;

[0014] A fourth obtaining unit, the fourth obtaining unit is used to collect enterprise information based on the enterprise information and according to the information characteristics of the training data to obtain enterprise collection information;

[0015] A fifth obtaining unit, the fifth obtaining unit is used to input the enterprise collected information into the evaluation model for evaluation to obtain an evaluation result;

[0016] A first determining unit, wherein the first determining unit is used to determine transformation decision information according to the evaluation result.

[0017] In a third aspect, the present application also provides an intelligent collection and evaluation system based on an enterprise environment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the program.

[0018] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method described in any one of the first aspects is implemented.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By extracting the characteristics of environmental factors of enterprises, building an evaluation model according to their digital transformation status and the needs of the enterprise industry, and conducting intelligent evaluation of the collected enterprise information based on the model, basic evaluation conditions are provided for the digital transformation of enterprises, achieving the technical effect of decision-making analysis.

[0021] 2. By adding machine learning, the efficiency of computing and processing is improved, the accuracy of data results is improved, and the characteristics of the enterprise and the transformation requirements under the overall environment are accurately evaluated to ensure the technical effect of the transformation reliability.

[0022] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0024] Figure 1 A flowchart of an intelligent collection and evaluation method based on an enterprise environment according to an embodiment of the present application;

[0025] Figure 2 This is a structural diagram of an intelligent collection and evaluation system based on an enterprise environment according to an embodiment of the present application;

[0026] Figure 3 It is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of the present application.

[0027] Explanation of the reference numerals: first obtaining unit 11 , second obtaining unit 12 , first determining unit 13 , second determining unit 14 , third obtaining unit 15 , fourth obtaining unit 16 , third determining unit 17 , bus 300 , receiver 301 , processor 302 , transmitter 303 , memory 304 , bus interface 305 . DETAILED DESCRIPTION

[0028] The embodiments of the present application provide an intelligent collection and evaluation method and system based on the enterprise environment, thereby solving the technical problems in the prior art of lacking transformation decision analysis based on enterprise characteristics and in line with the transformation factors of the macro environment, and causing transformation failure due to the mismatch between the transformation strategy and the enterprise status.

[0029] Below, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0030] The overall idea of ​​the technical solution provided by this application is as follows:

[0031] Environmental factor information is obtained by extracting environmental factors from enterprise environmental information; based on the environmental factor information, transformation case information is obtained; the transformation status and industry transformation demand factors are analyzed, and an evaluation model is constructed based on the transformation status and industry transformation demand factors corresponding to the transformation case information, and enterprise information is collected according to the operational data requirement characteristics of the evaluation model to obtain enterprise collection information; the enterprise collection information is input into the evaluation model for evaluation to obtain evaluation results; and transformation decision information is determined based on the evaluation results. The intelligent evaluation of the collected enterprise information according to the model is achieved, thereby providing basic evaluation conditions for the digital transformation of the enterprise and achieving the technical effect of decision analysis.

[0032] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0033] Embodiment 1

[0034] Please see attached Figure 1 , the embodiment of the present application provides an intelligent collection and evaluation method based on an enterprise environment, the method comprising:

[0035] Step S100: Obtaining enterprise environment information according to enterprise information;

[0036] Furthermore, obtaining enterprise environmental information based on enterprise information includes: obtaining enterprise operating characteristics based on the enterprise information; determining environmental impact information based on the enterprise operating characteristics; and obtaining the enterprise environmental information based on the environmental impact information.

[0037] Specifically, enterprise information includes basic information such as the name, business address, business scope, registered capital, industry characteristics, etc. of the enterprise. The enterprise environmental information is matched and obtained according to the enterprise type, business address, business scope and other information in the enterprise information. First, the business characteristics of the enterprise are obtained by using the introduction of the basic information in the enterprise information. For example, it is chemical industry, textile industry, mechanical processing, food, etc. Each business type corresponds to different business characteristics, and the scope of environmental impact on the enterprise and the selection conditions of factors are also different. The environmental impact information is determined according to the business characteristics of the enterprise. For example, the food industry has different environmental impact factors such as policies, epidemic prevention requirements, health permits, weather and climate. The corresponding environmental impact information is determined based on different business characteristics of the enterprise. The environmental impact information mainly includes the impact of market environment, policy environment, and climate environment. The corresponding environmental impact information is determined using different business characteristics of the enterprise, and the impact information related to the enterprise environment is obtained in the determined environmental impact information, such as taking into account different regional policies. Enterprise environmental information is environmental information that has an impact on the enterprise.

[0038] Step S200: extracting environmental elements from the enterprise environmental information to obtain environmental element information;

[0039] Furthermore, the environmental element extraction of the enterprise environmental information to obtain the environmental element information includes: obtaining environmental element extraction requirements, wherein the environmental element extraction requirements include multiple requirements; obtaining a first environmental element extraction feature according to the environmental element extraction requirements; extracting environmental elements from the enterprise environmental information based on the first environmental element extraction feature to obtain a first enterprise environmental element; obtaining a second environmental element extraction feature according to the environmental element extraction requirements; extracting environmental elements from the enterprise environmental information based on the second environmental element extraction feature to obtain a second enterprise environmental element; and so on, performing environmental element extraction on each environmental element extraction feature in the environmental element extraction requirements to obtain a third enterprise environmental element, until the Nth enterprise environmental element, wherein N is a natural number, and the number of enterprise environmental elements corresponds to the number of environmental element extraction features in the environmental element extraction requirements; obtaining the environmental element information based on all enterprise environmental elements.

[0040] Specifically, there are many environmental factors in the enterprise environmental information. Corresponding extraction is performed for different environmental factors. The environmental factor extraction requirements are the requirements for the corresponding extraction settings for individual environmental factors in the large environment. The determination of specific environmental factor extraction requirements should also take into account the business characteristics of the enterprise to set the extraction requirements. There are multiple environmental factor extraction requirements, and the specific number matches the type in the enterprise environmental information, that is, each environmental impact information corresponds to its own extraction requirements. The first environmental factor extraction feature is the feature of the environmental impact information extracted according to the environmental impact information, which is used for extraction. According to the features of each information, feature traversal and comparison are performed, and the features that are successfully compared are extracted to obtain the enterprise environmental factors corresponding to the environmental impact information. The impact information in the enterprise environmental information is sequentially traversed and compared according to the respective element extraction features, and the matching features are determined to extract the environmental factors. The second environmental factor extraction feature, the third environmental factor extraction feature, and the Nth environmental factor extraction feature correspond to their respective impact information. According to their respective extraction features, the elements in the information are extracted to obtain the influencing factors for the digital transformation of the enterprise in the large environment where the enterprise is located in the environmental impact information.

[0041] Step S300: obtaining transformation case information based on the environmental factor information;

[0042] Step S400: obtaining a transformation state and industry transformation demand factors according to the transformation case information, and determining training data based on the transformation state and industry transformation demand factors corresponding to the transformation case information;

[0043] Furthermore, the obtaining of transformation status and industry transformation demand factors according to the transformation case information includes: obtaining transformation technology information and transformation enterprise characteristics according to the transformation case information; obtaining first feature information and second feature information based on the transformation enterprise characteristics, wherein the first feature information is enterprise feature information before enterprise transformation, the second feature information is enterprise feature information after enterprise transformation, and the first feature corresponds to the second feature; obtaining the transformation status according to the first feature information and the second feature information; obtaining a correlation set according to the transformation technology information and the transformation enterprise characteristics; sorting the correlation set according to the size of the correlation, and selecting the industry transformation demand factors.

[0044] Furthermore, the step of sorting the correlation set according to the size of the correlation and selecting the industry transformation demand factors includes: sorting the correlation set according to the size of the correlation to obtain a correlation sequence table, wherein the correlation sequence table includes the characteristics of the transformed enterprise and the correlation values ​​with the transformation technology information; obtaining a preset selection requirement based on the transformation technology information; selecting a preset number of correlation values ​​from the correlation sequence table based on the preset selection requirement, and determining the characteristics of the transformed enterprise according to the selected correlation; and determining the industry transformation demand factors based on the characteristics of the transformed enterprise.

[0045] Specifically, under the environmental factor information corresponding to the enterprise, what are the conditions required for digital transformation? The transformation cases of other enterprises with the same environmental factor information are analyzed to obtain the transformation conditions required therein. The required conditions for digital transformation under the current environment are studied to understand whether the enterprise has the basic conditions for transformation. Specifically analyze the conditions of the transformation case, use the digital transformation status in the transformation case and the transformation demand factors of the enterprise industry to build an evaluation model, collect enterprise data according to the data requirements required by the model, and use the collected enterprise data to perform intelligent evaluation through the evaluation model to provide basic evaluation conditions for the digital transformation of the enterprise, so as to understand whether it has the requirements for transformation. The evaluation model is a neural network model obtained through training and convergence of training data. The training process is a machine learning process. The correlation between the data of the transformation enterprise characteristics, transformation technology information, and the results after transformation in the transformation case is used for learning, and the mathematical logical relationship between them is fitted. The model is trained and converged through a large amount of training data, so that the evaluation model can extract and determine the logical relationship between the data in the transformation case. In this way, by inputting data with the same attributes and characteristics as the training data, the evaluation model can give an evaluation result of whether the transformation requirements are met. The embodiment of the present application uses the transformation state, industry transformation demand factors and corresponding transformation results as a set of training data. The transformation state is based on the characteristics of the transformed enterprise in the transformation case, analyzes each transformation matching feature, compares the data before and after the transformation, and judges whether the matching features after the transformation have reached the preset requirements of the transformation. The first feature information and the second feature information are data of two periods of the same enterprise characteristics. The first feature information is the enterprise feature information before the enterprise transformation, and the second feature information is the enterprise feature information after the enterprise transformation. The transformation state of the transformed enterprise is evaluated according to the changes in the enterprise characteristics before and after the transformation. For multiple enterprise feature information, the data before and after the transformation are analyzed respectively, and the state comparison results of the features are averaged, or weights are assigned according to the importance of the enterprise characteristics to the development of the enterprise, so as to calculate the final overall transformation state result. The industry transformation demand factors are evaluated according to which characteristics of the enterprise are most closely combined with the transformation technology information. Since digital transformation relies on strong technical support or new technical support in addition to the characteristics of the enterprise, technical support information also plays an important role in the transformation of the enterprise.According to the closeness between the enterprise's own development and operating characteristics and the technology that the transformation relies on, that is, the correlation, the industry transformation demand factors are judged. The number of features to be selected is determined according to the characteristics of the enterprise. At the same time, it is also necessary to combine the transformation requirements of the enterprise that currently needs to be transformed. For example, if the current enterprise needs to transform one of the projects, and this project has a greater impact on it. The key factors, then the preset selection requirement is set to a. In this way, according to the value of the correlation between the enterprise characteristics and the transformation technology information, they are sorted from large to small, and the first a features are selected as the industry transformation demand factors. According to the requirements of analysis and processing, each case in the transformation case is analyzed and processed in turn to obtain the transformation status and industry transformation demand factors of each case, and the transformation status and industry transformation demand factors of each case are used as training data.

[0046] Step S500: constructing an evaluation model, and training the evaluation model using the training data;

[0047] Specifically, the transformation status and industry transformation demand factors of each case are used as training data to train the evaluation model. Each set of training data includes the transformation status and industry transformation demand factors and the identification results that identify the degree of compliance between the enterprise characteristics and the requirements of the macro-environment transformation. The neural network model learns the relationship between the data in the training data and outputs the operation results. The output evaluation results are compared with the identification information in the training data. If the output evaluation results are different from the identification results of the training data, the training continues until the evaluation model outputs the same identification information from the evaluation results and the training data, and meets certain convergence requirements. The evaluation model training is then terminated. At this time, the evaluation model has the transformation status and industry transformation demand factors corresponding to the input, and outputs the evaluation results that match them. Its accuracy has been verified and can achieve high accuracy, thereby improving the speed of calculation processing, providing a basic guarantee for conducting basic enterprise evaluations and reliable decision-making analysis.

[0048] Step S600: Based on the enterprise information, enterprise information is collected according to the information characteristics of the training data to obtain enterprise collection information;

[0049] Step S700: inputting the enterprise collected information into the evaluation model for evaluation to obtain evaluation results;

[0050] Specifically, the information features of the training data in this application are the transformation status and industry transformation demand factors. Based on the computational processing requirements of the transformation status and industry transformation demand factors, the data features that need to be collected are obtained. Based on the enterprise information that currently needs to be evaluated, only targeted data collection is performed to obtain features that match the transformation status and industry transformation demand factors. The transformation status and industry transformation demand factors are determined through computational processing and input into the trained evaluation model to output the evaluation results. The evaluation results include the degree of match between the current enterprise characteristics and the requirements of the macro-environment transformation.

[0051] Step S800: Determine transformation decision information according to the evaluation result.

[0052] Furthermore, determining the transformation decision information based on the evaluation result includes: judging whether the evaluation result meets a preset threshold; when the threshold is met, determining enterprise acquisition transformation characteristics based on the evaluation result; and determining the transformation decision information based on the enterprise acquisition transformation characteristics.

[0053] Furthermore, after judging whether the evaluation result meets the preset threshold, the method further includes: when the evaluation result does not meet the preset threshold, determining enterprise characteristics that do not meet the requirements based on the evaluation result; based on the enterprise characteristics that do not meet the requirements, obtaining relevant influencing factors based on the enterprise information; determining a perfecting plan based on the relevant influencing factors; and determining the transformation decision information based on the perfecting plan.

[0054] Specifically, according to the evaluation results, determine whether the characteristics of the current enterprise match the factors required for digital transformation under the general environment. The higher the evaluation result, the more it meets the requirements of transformation. Determine whether the evaluation results meet the preset threshold. The preset threshold is specifically set according to the requirements of decision analysis. The preferred value is 70-90%. If the threshold is set to 80%, then those above 80% are suitable for transformation. Those below need to be carefully considered. For enterprises with multiple projects that need to be transformed, they can be evaluated separately. According to the evaluation results, determine which enterprise characteristics meet the requirements, and make specific transformation plans for the enterprise characteristics. For those whose evaluation results do not meet the preset threshold, specific optimization can also be carried out for the unsatisfied enterprise characteristics to determine whether the current enterprise can achieve optimization and improvement for the characteristics. If targeted improvements can be made, it can continuously approach the requirements of the transformation of the general environment. Through the analysis of the specific characteristics of the enterprise and the transformation requirements, provide basic evaluation conditions for the digital transformation of the enterprise, realize effective decision analysis, improve the reliability of the digital transformation of the enterprise, and avoid blindly following the trend to transform and cause transformation failure and damage the technical effects of the enterprise. This solves the technical problem that the existing technology lacks transformation decision analysis based on enterprise characteristics and conforms to the transformation factors of the macro environment, and the transformation fails due to the mismatch between the transformation strategy and the enterprise status.

[0055] In summary, the embodiments of the present application have the following technical effects:

[0056] 1. By extracting the characteristics of environmental factors of enterprises, building an evaluation model according to their digital transformation status and the needs of the enterprise industry, and conducting intelligent evaluation of the collected enterprise information based on the model, basic evaluation conditions are provided for the digital transformation of enterprises, achieving the technical effect of decision-making analysis.

[0057] 2. By adding machine learning, the efficiency of computing and processing is improved, the accuracy of data results is improved, and the characteristics of the enterprise and the transformation requirements under the overall environment are accurately evaluated to ensure the technical effect of the transformation reliability.

[0058] Embodiment 2

[0059] Based on the same inventive concept as the intelligent collection and evaluation method based on the enterprise environment in the aforementioned embodiment, the present invention also provides an intelligent collection and evaluation system based on the enterprise environment, please refer to the attached Figure 2 , the system comprising:

[0060] A first obtaining unit 11, wherein the first obtaining unit 11 is used to obtain enterprise environment information according to enterprise information;

[0061] A second obtaining unit 12, the second obtaining unit 12 is used to extract environmental elements from the enterprise environmental information to obtain environmental element information;

[0062] A third obtaining unit 13, the third obtaining unit 13 is used to obtain transformation case information based on the environmental factor information;

[0063] A first execution unit 14, the first execution unit 14 is used to obtain a transformation state and industry transformation demand factors according to the transformation case information, and determine training data based on the transformation state and industry transformation demand factors corresponding to the transformation case information;

[0064] A second execution unit 15, the second execution unit 15 constructs an evaluation model and trains the evaluation model through the training data;

[0065] A fourth obtaining unit 16, the fourth obtaining unit 16 is used to collect enterprise information based on the enterprise information and according to the information characteristics of the training data to obtain enterprise collection information;

[0066] A fifth obtaining unit 17, the fifth obtaining unit 17 is used to input the enterprise collection information into the evaluation model for evaluation to obtain an evaluation result;

[0067] The first determining unit 18 is used to determine transformation decision information according to the evaluation result.

[0068] Furthermore, the system also includes:

[0069] A sixth obtaining unit, the sixth obtaining unit being used to obtain enterprise operation characteristics according to the enterprise information;

[0070] a second determining unit, the second determining unit being used to determine environmental impact information based on the business characteristics of the enterprise;

[0071] A seventh obtaining unit, wherein the seventh obtaining unit is used to obtain the enterprise environmental information according to the environmental impact information.

[0072] Furthermore, the system also includes:

[0073] An eighth obtaining unit, the eighth obtaining unit is used to obtain an environmental factor extraction requirement, wherein the environmental factor extraction requirement includes a plurality of requirements;

[0074] A ninth obtaining unit, the ninth obtaining unit being used to obtain a first environmental element extraction feature according to the environmental element extraction requirement;

[0075] a tenth obtaining unit, configured to extract environmental elements from the enterprise environmental information based on the first environmental element extraction feature to obtain a first enterprise environmental element;

[0076] an eleventh obtaining unit, the eleventh obtaining unit being used to obtain a second environmental factor extraction feature according to the environmental factor extraction requirement;

[0077] a twelfth obtaining unit, the twelfth obtaining unit being configured to extract environmental elements from the enterprise environmental information based on the second environmental element extraction feature to obtain a second enterprise environmental element;

[0078] a third execution unit, the third execution unit being used to perform environmental element extraction on each environmental element extraction feature in the environmental element extraction requirement, and obtain a third enterprise environmental element, until the Nth enterprise environmental element, where N is a natural number, and the number of enterprise environmental elements corresponds to the number of environmental element extraction features in the environmental element extraction requirement;

[0079] The thirteenth obtaining unit is used to obtain the environmental factor information according to all enterprise environmental factors.

[0080] Furthermore, the system also includes:

[0081] A fourteenth obtaining unit, the fourteenth obtaining unit is used to obtain transformation technology information and transformation enterprise characteristics according to the transformation case information;

[0082] A fifteenth obtaining unit, the fifteenth obtaining unit is used to obtain first characteristic information and second characteristic information based on the characteristics of the transformed enterprise, wherein the first characteristic information is the enterprise characteristic information before the enterprise transformation, the second characteristic information is the enterprise characteristic information after the enterprise transformation, and the first characteristic corresponds to the second characteristic;

[0083] a sixteenth obtaining unit, the sixteenth obtaining unit being configured to obtain the transformation state according to the first characteristic information and the second characteristic information;

[0084] A seventeenth obtaining unit, the seventeenth obtaining unit is used to obtain a relevance set according to the transformation technology information and the transformation enterprise characteristics;

[0085] The first selection unit is used to sort the correlation set according to the size of the correlation and select the industry transformation demand factor.

[0086] Furthermore, the system also includes:

[0087] An eighteenth obtaining unit, the eighteenth obtaining unit is used to sort the relevance set according to the magnitude of the relevance, and obtain a relevance sequence table, wherein the relevance sequence table includes the relevance values ​​of the transformation enterprise characteristics and the transformation technology information;

[0088] A nineteenth obtaining unit, the nineteenth obtaining unit is used to obtain a preset selection requirement according to the transformation technology information;

[0089] A fourth execution unit, the fourth execution unit is used to select a preset number of correlation values ​​from the correlation sequence table based on the preset selection requirement, and determine the characteristics of the transformed enterprise according to the selected correlation;

[0090] A third determining unit is used to determine the industry transformation demand factors according to the characteristics of the transformed enterprise.

[0091] Furthermore, the system also includes:

[0092] A first judgment unit, the first judgment unit is used to judge whether the evaluation result meets a preset threshold;

[0093] A fourth determining unit, the fourth determining unit is used to determine the enterprise acquisition transformation characteristics according to the evaluation result when the conditions are met;

[0094] A fifth determining unit, the fifth determining unit is used to determine the transformation decision information according to the transformation characteristics collected by the enterprise.

[0095] Furthermore, the system also includes:

[0096] a sixth determining unit, configured to determine, when the evaluation result does not meet a preset threshold, that the enterprise characteristics do not meet the requirements according to the evaluation result;

[0097] a twentieth obtaining unit, the twentieth obtaining unit being used to obtain relevant influencing factors according to the enterprise information based on the characteristics of the enterprise that does not meet the requirements;

[0098] A seventh determining unit, the seventh determining unit is used to determine a perfecting plan according to the relevant influencing factors;

[0099] An eighth determining unit, the eighth determining unit is used to determine the transformation decision information based on the improvement plan.

[0100] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences between the expected embodiments. Figure 1 The intelligent collection and evaluation method based on the enterprise environment and the specific examples in the first embodiment are also applicable to the intelligent collection and evaluation system based on the enterprise environment in this embodiment. Through the above detailed description of the intelligent collection and evaluation method based on the enterprise environment, those skilled in the art can clearly know the intelligent collection and evaluation system based on the enterprise environment in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0101] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0102] Exemplary Electronic Devices

[0103] Reference below Figure 3 To describe the electronic device of the embodiment of the present application.

[0104] Figure 3 The figure shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

[0105] Based on the inventive concept of an intelligent collection and evaluation method based on an enterprise environment in the aforementioned embodiment, the present invention also provides an intelligent collection and evaluation system based on an enterprise environment, on which a computer program is stored, and when the program is executed by a processor, the steps of any method of the intelligent collection and evaluation method based on an enterprise environment described above are implemented.

[0106] Among them, Figure 3 In the embodiment of the present invention, a bus architecture (represented by bus 300) is shown, which may include any number of interconnected buses and bridges, and bus 300 links various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, which provides a unit for communicating with various other devices over a transmission medium.

[0107] The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 when performing operations.

[0108] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0109] The present application provides an intelligent collection and evaluation method and system based on the enterprise environment, which obtains enterprise environment information according to enterprise information; extracts environmental elements from the enterprise environment information to obtain environmental element information; obtains transformation case information based on the environmental element information; obtains transformation status and industry transformation demand factors according to the transformation case information, and determines training data based on the transformation status and industry transformation demand factors corresponding to the transformation case information; constructs an evaluation model and trains the evaluation model through the training data; collects enterprise information based on the enterprise information and the information characteristics of the training data to obtain enterprise collection information; inputs the enterprise collection information into the evaluation model for evaluation to obtain evaluation results; and determines transformation decision information based on the evaluation results. The method achieves the technical effect of intelligently evaluating the collected enterprise information according to the model, providing basic evaluation conditions for the digital transformation of the enterprise, realizing decision analysis, and determining the transformation plan through effective decision analysis to improve the reliability of the transformation. This solves the technical problem that the prior art lacks transformation decision analysis that conforms to the macro-environment transformation elements based on enterprise characteristics, and there is a transformation strategy that does not match the enterprise status and causes transformation failure.

[0110] This solves the technical problems in the existing technology of lacking transformation decision analysis based on enterprise characteristics and in line with the transformation factors of the macro-environment, and causing transformation failure due to the mismatch between the transformation strategy and the enterprise status.

[0111] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices, or computer program products. Therefore, the present application may adopt a complete software embodiment, a complete hardware embodiment, or a combination of software and hardware embodiments. In addition, the present application is in the form of a computer program product that can be implemented on one or more computer-usable storage media containing computer-usable program codes. The computer-usable storage medium includes, but is not limited to, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), disk storage, compact disc read-only memories (CD-ROM), optical memories, etc.

[0112] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks 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 system that specifies the functions of a box or multiple boxes.

[0113] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0114] 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 Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they understand the basic creative concepts.

[0115] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the same technology of the present invention, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent collection and evaluation method based on an enterprise environment, characterized in that: The method comprises: Obtain enterprise environmental information based on enterprise information; Extracting environmental elements from the enterprise environmental information to obtain environmental element information; Based on the environmental factor information, obtaining transformation case information; According to the transformation case information, a transformation state and industry transformation demand factors are obtained, and training data is determined based on the transformation state and industry transformation demand factors corresponding to the transformation case information; Constructing an evaluation model, and training the evaluation model using the training data; Based on the enterprise information, collect enterprise information according to the information characteristics of the training data to obtain enterprise collection information; Inputting the enterprise collected information into the evaluation model for evaluation to obtain evaluation results; Determining transformation decision information based on the evaluation results; The transformation status and industry transformation demand factors are obtained based on the transformation case information, including: Based on the transformation case information, obtain transformation technology information and transformation enterprise characteristics; Based on the characteristics of the transformed enterprise, first characteristic information and second characteristic information are obtained, wherein the first characteristic information is the characteristic information of the enterprise before the transformation, the second characteristic information is the characteristic information of the enterprise after the transformation, and the first characteristic corresponds to the second characteristic; Obtaining the transformation state according to the first characteristic information and the second characteristic information; Obtaining a correlation set according to the transformation technology information and the transformation enterprise characteristics; The correlation sets are sorted according to the magnitude of the correlations, and the industry transformation demand factors are selected; The step of sorting the correlation set according to the magnitude of the correlation and selecting the industry transformation demand factor includes: The relevance sets are sorted according to the magnitude of the relevance to obtain a relevance sequence table, wherein the relevance sequence table includes the relevance values ​​of the transformation enterprise characteristics and the transformation technology information; Obtaining preset selection requirements based on the transformation technology information; Selecting a preset number of correlation values ​​from the correlation sequence table based on the preset selection requirements, and determining the characteristics of the transformed enterprise according to the selected correlations; Determine the industry transformation demand factors based on the characteristics of the transformed enterprise.

2. The method according to claim 1, characterized in that The step of obtaining enterprise environment information based on enterprise information includes: Obtaining business characteristics of the enterprise based on the enterprise information; Determine environmental impact information based on the business characteristics of the enterprise; The enterprise environmental information is obtained according to the environmental impact information.

3. The method according to claim 1, characterized in that The step of extracting environmental elements from the enterprise environmental information to obtain environmental element information includes: Obtaining environmental factor extraction requirements, wherein the environmental factor extraction requirements include multiple requirements; According to the environmental factor extraction requirement, obtaining a first environmental factor extraction feature; Extracting environmental elements from the enterprise environmental information based on the first environmental element extraction feature to obtain a first enterprise environmental element; According to the environmental factor extraction requirement, obtaining a second environmental factor extraction feature; Extracting environmental elements from the enterprise environmental information based on the second environmental element extraction feature to obtain a second enterprise environmental element; Similarly, environmental element extraction is performed on each environmental element extraction feature in the environmental element extraction requirement to obtain the third enterprise environmental element, until the Nth enterprise environmental element, where N is a natural number, and the number of enterprise environmental elements corresponds to the number of environmental element extraction features in the environmental element extraction requirement; According to all enterprise environmental factors, the environmental factor information is obtained.

4. The method according to claim 1, characterized in that Determining transformation decision information according to the evaluation results includes: Determining whether the evaluation result meets a preset threshold; When the conditions are met, the enterprise acquisition transformation characteristics are determined based on the evaluation results; The transformation decision information is determined according to the transformation characteristics collected by the enterprise.

5. The method according to claim 4, characterized in that After determining whether the evaluation result meets the preset threshold, the method includes: When the evaluation result does not meet the preset threshold, determining that the enterprise characteristics do not meet the requirements according to the evaluation result; Based on the characteristics of the enterprises that do not meet the requirements, relevant influencing factors are obtained according to the enterprise information; Determine a complete solution based on the relevant influencing factors; Based on the improvement plan, the transformation decision information is determined.

6. An intelligent collection and evaluation system based on an enterprise environment, characterized in that: The system comprises: A first obtaining unit, the first obtaining unit is used to obtain enterprise environment information according to the enterprise information; A second obtaining unit, the second obtaining unit is used to extract environmental elements from the enterprise environmental information to obtain environmental element information; A third obtaining unit, the third obtaining unit is used to obtain transformation case information based on the environmental factor information; A first execution unit, the first execution unit is used to obtain a transformation state and an industry transformation demand factor according to the transformation case information, and determine training data based on the transformation state and the industry transformation demand factor corresponding to the transformation case information; A second execution unit, the second execution unit is used to build an evaluation model and train the evaluation model through the training data; A fourth obtaining unit, the fourth obtaining unit is used to collect enterprise information based on the enterprise information and according to the information characteristics of the training data to obtain enterprise collection information; A fifth obtaining unit, the fifth obtaining unit is used to input the enterprise collected information into the evaluation model for evaluation to obtain an evaluation result; A first determining unit, the first determining unit is used to determine transformation decision information according to the evaluation result; A fourteenth obtaining unit, the fourteenth obtaining unit is used to obtain transformation technology information and transformation enterprise characteristics according to the transformation case information; A fifteenth obtaining unit, the fifteenth obtaining unit is used to obtain first characteristic information and second characteristic information based on the characteristics of the transformed enterprise, wherein the first characteristic information is the enterprise characteristic information before the enterprise transformation, the second characteristic information is the enterprise characteristic information after the enterprise transformation, and the first characteristic corresponds to the second characteristic; a sixteenth obtaining unit, the sixteenth obtaining unit being configured to obtain the transformation state according to the first characteristic information and the second characteristic information; A seventeenth obtaining unit, the seventeenth obtaining unit is used to obtain a relevance set according to the transformation technology information and the transformation enterprise characteristics; A first selection unit, the first selection unit is used to sort the correlation set according to the size of the correlation, and select the industry transformation demand factor; An eighteenth obtaining unit, the eighteenth obtaining unit is used to sort the relevance set according to the magnitude of the relevance to obtain a relevance sequence table, wherein the relevance sequence table includes the relevance values ​​of the transformation enterprise characteristics and the transformation technology information; A nineteenth obtaining unit, the nineteenth obtaining unit is used to obtain a preset selection requirement according to the transformation technology information; A fourth execution unit, the fourth execution unit is used to select a preset number of correlation values ​​from the correlation sequence table based on the preset selection requirement, and determine the characteristics of the transformed enterprise according to the selected correlation; A third determining unit is used to determine the industry transformation demand factors according to the characteristics of the transformed enterprise.

7. An intelligent collection and evaluation system based on an enterprise environment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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