Enterprise digitalization management method and system

Abstract

The invention discloses an enterprise digital management method and system, and relates to the technical field of digital transformation, and the enterprise digital management method comprises the following steps: obtaining a current comprehensive progress value and a predicted comprehensive progress value according to a management request; analyzing the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold value, and generating a stage management result; if the stage management result is up to standard, generating transformation management information and sending the transformation management information; if the stage management result is substandard, analyzing each piece of transformation progress data, determining to-be-adjusted objects, and obtaining recommended reference data of each to-be-adjusted object; and generating transformation management information according to the stage management result and / or the to-be-adjusted objects and the recommended reference data of each to-be-adjusted object, and sending the transformation management information. According to the method and the device, the accuracy of enterprise digital transformation analysis can be improved, the to-be-adjusted object can be accurately determined from the plurality of management items, and adaptive reference data can be provided for the to-be-adjusted object.

Description

Technical Field

[0001] The present application relates to the field of digital transformation technology, and in particular to a management method and system for enterprise digitalization. Background Art

[0002] The management of enterprise digital transformation usually refers to the use of digital technology by enterprises to systematically change and optimize their business processes, organizational structures, business models, etc. in order to adapt to the development trends of the digital age, and to effectively plan, organize, coordinate and control this process.

[0003] The existing management methods for enterprise digital transformation have the following problems:

[0004] (1) It requires strong professional analytical skills. Therefore, it is impossible to achieve real-time, objective, and quantitative analysis and management of the digital capabilities of enterprises. It is not easy for enterprises with insufficient professional analytical skills to conduct real-time and accurate analysis and management of their transformation progress or maturity.

[0005] (2) It is impossible to accurately analyze the transformation progress data of each enterprise client according to the different enterprise categories and enterprise sizes, it is impossible to accurately determine the objects to be adjusted from multiple management items (that is, the stage management results of the enterprise client are management items that do not meet the standards), and it is also impossible to provide adaptive reference data for the objects to be adjusted so that the enterprise client can make corresponding adjustments and / or improvements to the specific enterprise digital transformation plan. Summary of the invention

[0006] The purpose of this application is to provide a management method and system for enterprise digitalization, which can improve the accuracy of enterprise digital transformation analysis, accurately determine the objects to be adjusted from multiple management items, and provide adaptive reference data for the objects to be adjusted, so that enterprise clients can make corresponding adjustments and / or improvements to the specific enterprise digital transformation plan.

[0007] To achieve the above object, the present application provides a management method for enterprise digitization, including the following steps: S1: Receive a management request, and obtain the current comprehensive progress value and the predicted comprehensive progress value according to the management request, where the management request at least includes: the request terminal code, the request terminal ID, the request time, a plurality of management items, and the transformation progress data corresponding to each management item; S2: Analyze the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold to generate a stage management result; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, the generated stage management result is qualified, and S4 is executed; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, the generated stage management result is unqualified, and S3 is executed; S3: Analyze each transformation progress data to determine the objects to be adjusted, and obtain the recommended reference data for each object to be adjusted; S4: Generate transformation management information according to the stage management result and / or the objects to be adjusted, and the recommended reference data for each object to be adjusted, and send it.

[0008] As above, among them, the sub-steps of obtaining the current comprehensive progress value and the predicted comprehensive progress value according to the management request are as follows: S11: Respond to the management request to access the enterprise information database, and determine the information data packet with the storage code consistent with the request terminal code as the target information data packet; S12: Obtain the compliance standard and the process influence weight corresponding to each management item in the management request from the transformation progress table of the target information data packet, and calculate the current comprehensive progress value according to the transformation progress data, the compliance standard, and the process influence weight corresponding to each management item; S13: Obtain the predicted comprehensive progress value according to the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request.

[0009] As described above, the sub-steps for obtaining the predicted comprehensive progress value based on the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request are as follows: S131: Obtain the current execution duration based on the initial execution time in the target information data packet and the request time in the management request, where the current execution duration = request time - initial execution time; S132: Generate a calculation serial number for the reference duration table corresponding to each management item in the target information data packet in a random order, and the calculation serial number of the reference duration table with a random order earlier is less than the calculation serial number of the reference duration table with a random order later; S133: Use the reference duration table with the smallest calculation serial number as the current reference duration table, and divide the current execution duration into N intervals to be calculated in ascending order of the duration codes in the current reference duration table, obtaining N intervals to be calculated, where one interval to be calculated corresponds to one duration code; the calculation duration interval of the interval to be calculated with a duration code of 1 is the same as the reference duration interval of the reference duration range with a duration code of 1, the calculation duration interval of the interval to be calculated with a duration code of 2 is the same as the reference duration interval of the reference duration range with a duration code of 2, the calculation duration interval of the interval to be calculated with a duration code of 3 is the same as the reference duration interval of the reference duration range with a duration code of 3,..., the calculation duration interval of the interval to be calculated with a duration code of N - 1 is the same as the reference duration interval of the reference duration range with a duration code of N - 1; the calculation duration interval of the interval to be calculated with a duration code of N is less than or equal to the reference duration interval of the reference duration range with a duration code of N; S134: Use the total number of calculation serial numbers to judge the calculation serial number of the current reference duration table. If the total number of calculation serial numbers is greater than the calculation serial number of the current reference duration table, then remove the calculation serial number of the current reference duration table and execute S133; if the total number of calculation serial numbers is equal to the calculation serial number of the current reference duration table, then remove the calculation serial number of the current reference duration table and execute S135; S135: Calculate the predicted comprehensive progress value using the unit process change value and the reference duration interval corresponding to the N reference duration ranges corresponding to the N intervals to be calculated for each management item.

[0010] As described above, where the expression for the current comprehensive progress value is: where Djdz is the current comprehensive progress value; η i is the process influence weight of the i-th management item; Sjdz i is the transformation progress data corresponding to the i-th management item; Bz i is the compliance standard corresponding to the i-th management item; i ∈ [1, I], and I is the total number of management items.

[0011] As described above, the sub-steps of analyzing each transformation progress data to determine the object to be adjusted and obtaining the recommended reference data for each object to be adjusted are as follows: S31: Analyze each transformation progress data by using the average progress value in the reference duration table of each management item in the target information data packet to obtain the actual difference, where the actual difference = average progress value - transformation progress data; S32: Use the progress allowable difference in the reference duration table of each management item in the target information data packet to judge the actual difference and generate an error judgment result. If the actual difference is less than or equal to the progress allowable difference, the generated error judgment result is qualified. If the actual difference is greater than the progress allowable difference, the generated error judgment result is unqualified; S33: Take the management item with the error judgment result of unqualified as the object to be adjusted, traverse the recommended database according to the object to be adjusted, and determine the recommended data with the management item consistent with the object to be adjusted as the initial recommended data; S34: Obtain the current enterprise information and extract the features of the current enterprise information to obtain the current category feature and the current scale feature; S35: Analyze the category feature reference set in each initial recommended data by using the current category feature to obtain the enterprise category correlation value; S36: Analyze the scale feature reference set in each initial recommended data by using the current scale feature to obtain the enterprise scale correlation value; S37: Use the enterprise category correlation value and the enterprise scale correlation value to screen the initial recommended data. If the enterprise category correlation value is within the category correlation range of the initial recommended data and the enterprise scale correlation value is within the scale correlation range of the initial recommended data, take the transformation sub-scheme of the management item in the initial recommended data as the recommended reference data, where the recommended reference data includes: various problems affecting the transformation efficiency of the management item and specific solutions to each problem affecting the transformation efficiency of the management item.

[0012] As described above, where the features of the current enterprise information are extracted by using a pre-trained feature extraction model to obtain the current category feature and the current scale feature.

[0013] As described above, where the enterprise category correlation value is obtained by analyzing the category feature reference set in each initial recommended data by using a pre-trained neural network or correlation analysis model with the current category feature.

[0014] As described above, where the enterprise scale correlation value is obtained by analyzing the scale feature reference set in each initial recommended data by using a pre-trained neural network or correlation analysis model with the current scale feature.

[0015] The present application also provides an enterprise digital management system, including: a plurality of enterprise clients and a digital transformation management center; wherein, the enterprise client: is used to send management requests; receive transformation management information; the digital transformation management center: is used to execute the above-mentioned enterprise digital management method.

[0016] As described above, wherein, the digital transformation management center at least includes: a first management unit, a second management unit, a third management unit and a storage unit; wherein, the first management unit: receives management requests, and obtains the current comprehensive progress value and the predicted comprehensive progress value according to the management requests; the second management unit: analyzes the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold to generate a stage management result; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, the generated stage management result is qualified; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, the generated stage management result is unqualified; the third management unit: if the stage management result is unqualified, analyzes each transformation progress data to determine the objects to be adjusted, and obtains the recommended reference data for each object to be adjusted; generates transformation management information according to the stage management result and / or the objects to be adjusted, and the recommended reference data for each object to be adjusted, and sends it; the storage unit: is used to store the enterprise information library and the recommended database.

[0017] The beneficial effects achieved by the present application are as follows:

[0018] (1) The enterprise digital management method and system of the present application can realize real-time, objective and quantitative analysis and management of enterprise digital capabilities, which is convenient for enterprises with insufficient professional analysis skills to analyze and manage the real-time situation of their own transformation progress or maturity in real time and accurately.

[0019] (2) The enterprise digital management method and system of the present application can accurately analyze each transformation progress data of the enterprise client according to different enterprise categories and scales, improve the accuracy of enterprise digital transformation analysis, and thus accurately determine the objects to be adjusted (i.e., the management items with unqualified stage management results of the enterprise client) from multiple management items, and provide adapted reference data (i.e., recommended reference data) for the objects to be adjusted, so that the enterprise client can make corresponding adjustments and / or improvements to the specific enterprise digital transformation plan. Description of the Drawings

[0020] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0021] Figure 1 Structural schematic diagram of an embodiment of a management system for enterprise digitization;

[0022] Figure 2 Flowchart of an embodiment of a management method for enterprise digitization. Detailed implementation manners

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0024] As Figure 1 shown, the present application provides a management system for enterprise digitization, including: a plurality of enterprise clients 110 and a digital transformation management center 120.

[0025] Among them, the enterprise client 110: is used to send a management request; receive transformation management information.

[0026] The digital transformation management center 120: is used to execute the following management method for enterprise digitization.

[0027] Specifically, one enterprise corresponds to at least one enterprise client 110.

[0028] Furthermore, the digital transformation management center 120 at least includes: a first management unit, a second management unit, a third management unit, and a storage unit.

[0029] Among them, the first management unit: receives the management request and obtains the current comprehensive progress value and the predicted comprehensive progress value according to the management request.

[0030] The second management unit: analyzes the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold to generate a stage management result; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, the generated stage management result is qualified; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, the generated stage management result is unqualified.

[0031] The third management unit: If the stage management result is not up to standard, analyze each transformation progress data, determine the objects to be adjusted, and obtain the recommended reference data for each object to be adjusted; generate transformation management information based on the stage management result and / or the objects to be adjusted, as well as the recommended reference data for each object to be adjusted, and send it.

[0032] The storage unit: used to store the enterprise information library and the recommendation database.

[0033] Among them, the enterprise information library includes multiple information data packets; each information data packet includes: a storage code, an initial execution time, and a transformation progress table; the transformation progress table includes: multiple management items, and each management item corresponds to a compliance standard, a process impact weight, and a reference duration table; the reference duration table includes: multiple reference duration ranges, and one reference duration range corresponds to a duration code, a unit process change value, a reference duration interval, an average process value, and a progress allowance difference; the duration code of the reference duration range with a smaller duration mean is less than the duration code of the reference duration range with a larger duration mean.

[0034] Among them, the

[0035] Among them, the recommendation database includes multiple recommendation data, one recommendation data corresponds to one management item, and each recommendation data includes: a category feature reference set, a category association range, a scale feature reference set, a scale association range, and a management item transformation sub-scheme; the management item transformation sub-scheme includes: various problems affecting the transformation efficiency of this management item and specific solutions to solve each problem affecting the transformation efficiency of this management item.

[0036] Specifically, the compliance standard can be a national standard, an industry standard, or a preset standard obtained by reinforcement learning based on multiple sample data, and is used to judge whether the management item has fully achieved the digital transformation effect required by the enterprise. The compliance standard is the quantified value of the key quantified indicators for the progress and effect of the enterprise's digital capabilities to meet the transformation requirements preset.

[0037] The average process value is the average value of the quantified values of the key quantified indicators for the progress and effect of the enterprise's digital capabilities to meet the transformation requirements within this reference duration interval.

[0038] The progress allowance difference is the error value allowed between the quantified value of the actual progress and effect of the enterprise's digital capabilities to meet the transformation requirements and the average process value within this reference duration interval.

[0039] The category feature reference sets, category association ranges, scale feature reference sets, and scale association ranges of different recommended data are all different.

[0040] As Figure 2 shown, this application provides a management method for enterprise digitization, including the following steps:

[0041] S1: Receive a management request, and obtain the current comprehensive progress value and the predicted comprehensive progress value according to the management request. Among them, the management request at least includes: the request terminal code, the request terminal ID, the request time, multiple management items, and the transformation progress data corresponding to each management item.

[0042] Specifically, one enterprise client corresponds to one request terminal code, and each request terminal code is different.

[0043] The request terminal ID is the ID of the enterprise client that sends the management request.

[0044] The request time is the time when the enterprise client sends the management request, and it is also the current execution duration of the enterprise client for executing the enterprise digitization transformation plan.

[0045] The management item is a key quantitative indicator in multiple evaluation dimensions that can reflect the progress and effect of evaluating the digitization ability of an enterprise. One key quantitative indicator corresponds to one compliance standard.

[0046] The transformation progress data is the actual quantitative value of the key quantitative indicators in multiple evaluation dimensions that can reflect the progress and effect of evaluating the digitization ability of an enterprise obtained at the request time.

[0047] Further, the sub-steps for obtaining the current comprehensive progress value and the predicted comprehensive progress value according to the management request are as follows:

[0048] S11: In response to the management request, access the enterprise information database, and determine the information data packet with the storage code consistent with the request terminal code as the target information data packet.

[0049] S12: Obtain the compliance standard and the process impact weight corresponding to each management item in the management request from the transformation process table of the target information data packet, and calculate the current comprehensive progress value according to the transformation progress data, compliance standard, and process impact weight corresponding to each management item.

[0050] Specifically, the multiple management items in the management request correspond one-to-one with the multiple management items in the transformation process table.

[0051] Further, the expression of the current comprehensive progress value is:

[0052]

[0053] Among them, Djdz is the current comprehensive progress value; ηi is the process impact weight of the i-th management item; Sjdz i is the transformation progress data corresponding to the i-th management item; Bz i is the compliance standard corresponding to the i-th management item; i ∈ [1, I], where I is the total number of management items.

[0054] Specifically, the specific value of the process impact weight of the management item is set according to the actual situation.

[0055] S13: Obtain the predicted comprehensive progress value according to the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request.

[0056] Furthermore, the sub-steps for obtaining the predicted comprehensive progress value according to the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request are as follows:

[0057] S131: Obtain the current execution duration according to the initial execution time in the target information data packet and the request time in the management request, where the current execution duration = request time - initial execution time.

[0058] Specifically, the initial execution time is the time when the enterprise client starts to execute the enterprise digital transformation plan, that is: the time when the enterprise client starts to carry out digital transformation.

[0059] S132: Generate a calculation serial number for the reference duration table corresponding to each management item in the target information data packet in a random order, and the calculation serial number of the reference duration table with a random order in the front is less than the calculation serial number of the reference duration table with a random order in the back.

[0060] S133: Take the reference duration table with the smallest calculation serial number as the current reference duration table, and divide the current execution duration into intervals in ascending order of the duration codes in the current reference duration table to obtain N intervals to be calculated, where one interval to be calculated corresponds to one duration code; the calculation duration interval of the interval to be calculated with duration code 1 is the same as the reference duration interval of the reference duration range with duration code 1, the calculation duration interval of the interval to be calculated with duration code 2 is the same as the reference duration interval of the reference duration range with duration code 2, the calculation duration interval of the interval to be calculated with duration code 3 is the same as the reference duration interval of the reference duration range with duration code 3,..., the calculation duration interval of the interval to be calculated with duration code N - 1 is the same as the reference duration interval of the reference duration range with duration code N - 1; the calculation duration interval of the interval to be calculated with duration code N is less than or equal to the reference duration interval of the reference duration range with duration code N.

[0061] S134: Use the total number of calculation sequence numbers to judge the calculation sequence number of the current reference duration table. If the total number of calculation sequence numbers is greater than the calculation sequence number of the current reference duration table, then eliminate the calculation sequence number of the current reference duration table and execute S133; if the total number of calculation sequence numbers is equal to the calculation sequence number of the current reference duration table, then eliminate the calculation sequence number of the current reference duration table and execute S135.

[0062] S135: Calculate the predicted comprehensive progress value by using the unit process change value and the reference duration interval corresponding to the N reference duration ranges corresponding to the N to-be-calculated intervals of each management item.

[0063] Furthermore, the expression of the predicted comprehensive progress value is:

[0064]

[0065] Among them, Yjdz is the predicted comprehensive progress value; η i is the process influence weight of the i-th management item; Bz i is the compliance standard corresponding to the i-th management item; i ∈ [1, I], where I is the total number of management items; is the reference duration interval corresponding to the reference duration range with duration code n of the i-th management item; is the unit process change value corresponding to the reference duration range with duration code n of the i-th management item, n ∈ [1, N - 1], and N is the total number of to-be-calculated intervals; is the calculation duration interval of the to-be-calculated interval with duration code N of the i-th management item; is the unit process change value corresponding to the reference duration range with duration code N of the i-th management item.

[0066] Specifically, the unit process change value is a quantitative value that reflects the process change generated within a unit time.

[0067] S2: Analyze the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold to generate a stage management result; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, then the generated stage management result is compliant and execute S4; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, then the generated stage management result is non-compliant and execute S3.

[0068] Specifically, the preset progress error threshold is set according to the actual situation and is used to represent the maximum allowable error value between the actual digital transformation progress and the predicted digital transformation progress. If the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the preset progress difference, it means that the digital transformation progress completed by the enterprise client in the transformation stage corresponding to the current execution duration does not meet the phased average requirement. If the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the preset progress difference, it means that the digital transformation progress completed by the enterprise client in the transformation stage corresponding to the current execution duration meets the phased average requirement.

[0069] The smaller the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value, the higher the digital transformation rate of the enterprise in this transformation stage.

[0070] S3: Analyze each transformation progress data, determine the objects to be adjusted, and obtain the recommended reference data for each object to be adjusted.

[0071] Furthermore, the sub-steps of analyzing each transformation progress data, determining the objects to be adjusted, and obtaining the recommended reference data for each object to be adjusted are as follows:

[0072] S31: Analyze each transformation progress data respectively using the average progress value in the reference duration table of each management item of the target information data packet to obtain the actual difference, where the actual difference = average progress value - transformation progress data.

[0073] S32: Use the progress allowable difference in the reference duration table of each management item of the target information data packet to judge the actual difference and generate an error judgment result. If the actual difference is less than or equal to the progress allowable difference, the generated error judgment result is qualified; if the actual difference is greater than the progress allowable difference, the generated error judgment result is unqualified.

[0074] S33: Take the management items with unqualified error judgment results as the objects to be adjusted, traverse the recommended database according to the objects to be adjusted, and determine the recommended data with the same management item as the object to be adjusted as the initial recommended data.

[0075] S34: Obtain the current enterprise information, extract the features of the current enterprise information, and obtain the current category features and current scale features.

[0076] Specifically, the current enterprise information is the real-time information of the enterprise client that sends the management request. The digital transformation management center sends an acquisition instruction to the enterprise client. The enterprise client receives and executes the acquisition instruction, obtains the current enterprise information, and sends the current enterprise information to the digital transformation management center.

[0077] The current category feature is the key feature characterizing the current category to which the enterprise belongs.

[0078] The current scale feature is the key feature characterizing the current actual scale of the enterprise.

[0079] Furthermore, the current enterprise information is subjected to feature extraction through a pre-trained feature extraction model to obtain the current category feature and the current scale feature.

[0080] S35: Analyze the category feature reference set in each initial recommendation data by using the current category feature to obtain the enterprise category correlation value.

[0081] Specifically, a pre-trained neural network or correlation analysis model is used to analyze the category feature reference set in each initial recommendation data by using the current category feature to obtain the enterprise category correlation value. The larger the enterprise category correlation value, the higher the correlation degree between the current category feature and the category feature reference set in the initial recommendation data.

[0082] S36: Analyze the scale feature reference set in each initial recommendation data by using the current scale feature to obtain the enterprise scale correlation value.

[0083] Specifically, a pre-trained neural network or correlation analysis model is used to analyze the scale feature reference set in each initial recommendation data by using the current scale feature to obtain the enterprise scale correlation value. The larger the enterprise scale correlation value, the higher the correlation degree between the current scale feature and the scale feature reference set in the initial recommendation data.

[0084] S37: Screen the initial recommendation data by using the enterprise category correlation value and the enterprise scale correlation value. If the enterprise category correlation value is within the category correlation range of the initial recommendation data and the enterprise scale correlation value is within the scale correlation range of the initial recommendation data, then use the transformation sub-scheme of the management item in the initial recommendation data as the recommended reference data, where the recommended reference data includes: various problems affecting the transformation efficiency of the management item and specific solutions to solve each problem affecting the transformation efficiency of the management item.

[0085] S4: Generate transformation management information according to the stage management result and / or the object to be adjusted, and the recommended reference data of each object to be adjusted, and send it.

[0086] Specifically, the digital transformation management center generates transformation management information according to the stage management result and / or the object to be adjusted, and the recommended reference data of each object to be adjusted, and sends it to the enterprise client.

[0087] The beneficial effects achieved by this application are as follows:

[0088] (1) The enterprise digital management method and system of the present application can realize real-time, objective, and quantitative analysis and management of enterprise digital capabilities, facilitating enterprises with insufficient professional analysis skills to analyze and manage the real-time situation of their own transformation progress or maturity in real time and accurately.

[0089] (2) The enterprise digital management method and system of the present application can accurately analyze each transformation progress data of the enterprise client according to different enterprise categories and scales, improve the accuracy of enterprise digital transformation analysis, and thus accurately determine the object to be adjusted (i.e., the management item with a non-compliant stage management result for the enterprise client) from multiple management items, and provide adapted reference data (i.e., recommended reference data) for the object to be adjusted, so that the enterprise client can make corresponding adjustments and / or improvements to the specific enterprise digital transformation plan.

[0090] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concept. Therefore, the protection scope of the present application is intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application. Obviously, those skilled in the art can make various changes and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the protection of the present application and its equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A management method for enterprise digitization, characterized in that, It includes the following steps: S1: Receive a management request, and obtain the current comprehensive progress value and the predicted comprehensive progress value according to the management request. The management request at least includes: the requester code, the requester ID, the request time, multiple management items, and the transformation progress data corresponding to each management item; S2: Analyze the predicted comprehensive progress value and the current comprehensive progress value by using a preset progress error threshold to generate a stage management result. If the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, the generated stage management result is qualified, and S4 is executed; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, the generated stage management result is unqualified, and S3 is executed; S3: Analyze each transformation progress data to determine the objects to be adjusted, and obtain the recommended reference data for each object to be adjusted; S4: Generate transformation management information according to the stage management result and / or the objects to be adjusted, and the recommended reference data for each object to be adjusted, and send it.

2. The management method for enterprise digitization according to claim 1, wherein, The sub-steps for obtaining the current comprehensive progress value and the predicted comprehensive progress value according to the management request are as follows: S11: Respond to the management request to access the enterprise information database, and determine the information data packet with the storage code consistent with the requester code as the target information data packet; S12: Obtain the compliance standard and the process impact weight corresponding to each management item in the management request from the transformation process table of the target information data packet, and calculate the current comprehensive progress value according to the transformation progress data, the compliance standard, and the process impact weight corresponding to each management item; S13: Obtain the predicted comprehensive progress value according to the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request.

3. The management method for enterprise digitization according to claim 2, wherein, The sub-steps for obtaining the predicted comprehensive progress value according to the initial execution time in the target information data packet, the reference duration table corresponding to each management item, and the request time in the management request are as follows: S131: Obtain the current execution duration according to the initial execution time in the target information data packet and the request time in the management request, where the current execution duration = request time - initial execution time; S132: Generate a calculation serial number for the reference duration table corresponding to each management item in the target information data packet in a random order. The calculation serial number of the reference duration table with a random order in the front is less than the calculation serial number of the reference duration table with a random order in the back; S133: Take the reference duration table with the smallest calculation serial number as the current reference duration table, divide the current execution duration into intervals in ascending order of the duration codes in the current reference duration table to obtain N intervals to be calculated, where one interval to be calculated corresponds to one duration code; the calculation duration interval of the interval to be calculated with duration code 1 is the same as the reference duration interval of the reference duration range with duration code 1, the calculation duration interval of the interval to be calculated with duration code 2 is the same as the reference duration interval of the reference duration range with duration code 2, the calculation duration interval of the interval to be calculated with duration code 3 is the same as the reference duration interval of the reference duration range with duration code 3, ……, the calculation duration interval of the interval to be calculated with duration code N-1 is the same as the reference duration interval of the reference duration range with duration code N-1; the calculation duration interval of the interval to be calculated with duration code N is less than or equal to the reference duration interval of the reference duration range with duration code N; S134: Use the total number of calculation serial numbers to judge the calculation serial number of the current reference duration table. If the total number of calculation serial numbers is greater than the calculation serial number of the current reference duration table, then delete the calculation serial number of the current reference duration table and execute S133; if the total number of calculation serial numbers is equal to the calculation serial number of the current reference duration table, then delete the calculation serial number of the current reference duration table and execute S135; S135: Calculate the predicted comprehensive progress value by using the unit process change value and the reference duration interval corresponding to the N reference duration ranges corresponding to the N intervals to be calculated for each management item.

4. The management method for enterprise digitization according to claim 2, characterized in that, The expression of the current comprehensive progress value is: Among them, Djdz is the current comprehensive progress value; η i is the process impact weight of the i-th management item; Sjdz i is the transformation progress data corresponding to the i-th management item; Bz i is the compliance standard corresponding to the i-th management item; i ∈ [1, I], where I is the total number of management items.

5. The management method for enterprise digitization according to claim 3, characterized in that, The sub-steps of analyzing each transformation progress data to determine the object to be adjusted and obtaining the recommended reference data for each object to be adjusted are as follows: S31: Analyze each transformation progress data by using the average process value in the reference duration table of each management item in the target information data packet to obtain the actual difference, where the actual difference = average process value - transformation progress data; S32: Judge the actual difference by using the progress allowable difference in the reference duration table of each management item in the target information data packet to generate an error judgment result. If the actual difference is less than or equal to the progress allowable difference, the generated error judgment result is qualified; if the actual difference is greater than the progress allowable difference, the generated error judgment result is unqualified; S33: Take the management item with the error judgment result of unqualified as the object to be adjusted, traverse the recommended database according to the object to be adjusted, and determine the recommended data with the management item consistent with the object to be adjusted as the initial recommended data; S34: Obtain the current enterprise information and extract the features of the current enterprise information to obtain the current category feature and the current scale feature; S35: Analyze the category feature reference set in each initial recommended data by using the current category feature to obtain the enterprise category correlation value; S36: Analyze the scale feature reference set in each initial recommended data by using the current scale feature to obtain the enterprise scale correlation value; S37: Filter the initial recommended data using the enterprise category correlation value and the enterprise scale correlation value. If the enterprise category correlation value is within the category correlation range of the initial recommended data and the enterprise scale correlation value is within the scale correlation range of the initial recommended data, then use the transformation sub-scheme of the management item in the initial recommended data as the recommended reference data. Among them, the recommended reference data includes: various problems affecting the transformation efficiency of the management item and specific solutions to each problem affecting the transformation efficiency of the management item.

6. The management method for enterprise digitization according to claim 5, characterized in that, Extract features from the current enterprise information through a pre-trained feature extraction model to obtain the current category features and the current scale features.

7. The management method for enterprise digitization according to claim 5, characterized in that, Analyze the category feature reference set in each initial recommended data using the current category features through a pre-trained neural network or correlation analysis model to obtain the enterprise category correlation value.

8. The management method for enterprise digitization according to claim 5, characterized in that, Analyze the scale feature reference set in each initial recommended data using the current scale features through a pre-trained neural network or correlation analysis model to obtain the enterprise scale correlation value.

9. A management system for enterprise digitization, characterized in that, Include: Multiple enterprise clients and a digital transformation management center; Among them, the enterprise client: used to send management requests; receive transformation management information; The digital transformation management center: used to execute the enterprise digital management method described in any one of claims 1-8.

10. The enterprise digital management system according to claim 9, characterized in that, The digital transformation management center at least includes: a first management unit, a second management unit, a third management unit, and a storage unit; Among them, the first management unit: receives management requests and obtains the current comprehensive progress value and the predicted comprehensive progress value according to the management requests; The second management unit: analyzes the predicted comprehensive progress value and the current comprehensive progress value using a preset progress error threshold to generate a stage management result; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is less than or equal to the progress error threshold, the generated stage management result is qualified; if the progress difference obtained by subtracting the current comprehensive progress value from the predicted comprehensive progress value is greater than the progress error threshold, the generated stage management result is unqualified; The third management unit: if the stage management result is unqualified, then analyze each transformation progress data to determine the objects to be adjusted and obtain the recommended reference data for each object to be adjusted; generate transformation management information according to the stage management result and / or the objects to be adjusted, and the recommended reference data for each object to be adjusted, and send it; The storage unit: used to store the enterprise information library and the recommendation database.

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