A digital evaluation method, device and storage medium

Abstract

A digital evaluation method, device and storage medium relate to the field of digital transformation, and are used to construct an evaluation tool for accurately evaluating the digital transformation capabilities of an enterprise. The method includes: multiple indicator information of an object to be evaluated under multiple evaluation dimensions can be obtained. Each evaluation dimension includes at least one indicator information. Then, based on the multiple indicator information, the digital transformation capability index under multiple evaluation dimensions can be determined. Then, based on the digital transformation capability index under multiple evaluation dimensions, the digital transformation stage to which the object to be evaluated belongs can be determined. This application can achieve accurate evaluation of digital transformation capabilities.

Description

Technical Field

[0001] The present application relates to the field of digital transformation, and in particular to a digital evaluation method, device and storage medium. Background Art

[0002] Digital transformation refers to the process of using new-generation digital technologies to link physical information in various aspects of an enterprise's business model, operations management, organizational management, etc. to form valuable digital assets.

[0003] However, the digital transformation process is a dynamic process of continuously optimizing resources. Therefore, how to build a convenient evaluation tool to analyze and regulate digital transformation capabilities according to the digital transformation stage of the enterprise is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present application provides a digital evaluation method, device and storage medium for constructing an evaluation tool for accurately evaluating the digital transformation capabilities of an enterprise.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions:

[0006] In the first aspect, a digital evaluation method is provided, which can obtain multiple indicator information of the object to be evaluated under multiple evaluation dimensions. Each evaluation dimension includes at least one indicator information. Then, the digital transformation capability index under multiple evaluation dimensions can be determined based on the multiple indicator information. Furthermore, the digital transformation stage to which the object to be evaluated belongs can be determined based on the digital transformation capability index under multiple evaluation dimensions.

[0007] Optionally, the evaluation dimension includes at least one first-level evaluation dimension; each first-level evaluation dimension includes at least one second-level evaluation dimension; each second-level evaluation dimension includes an indicator information; the method for determining the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information specifically includes: determining the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information, including: for each second-level evaluation dimension, performing a first operation to obtain the digital transformation capability index under each second-level evaluation dimension; the first operation is: determining the digital transformation capability index under a second-level evaluation dimension based on the indicator information and evaluation criteria under a second-level evaluation dimension; for each first-level evaluation dimension, performing a second operation to obtain the digital transformation capability index under each first-level evaluation dimension; the second operation As: determining the digital transformation capability index under a first-level evaluation dimension according to the digital transformation capability index under at least one second-level evaluation dimension in a first-level evaluation dimension, the weight of each second-level evaluation dimension in at least one second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under each second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under a first-level evaluation dimension and a preset algorithm; for each evaluation dimension, performing the third operation to obtain the digital transformation capability index under each evaluation dimension; the third operation is: determining the sum of the digital transformation capability index under at least one first-level evaluation dimension in an evaluation dimension as the digital transformation capability index under one evaluation dimension.

[0008] Optionally, when the indicator information is quantifiable information, the digital evaluation method also includes: determining the index range under each secondary evaluation dimension based on pre-acquired sample information, preset expected values ​​under each secondary evaluation dimension, and preset indicator thresholds under each secondary evaluation dimension; creating a first mapping relationship between the index range and the digital transformation capability index under each secondary evaluation dimension, and generating an evaluation standard including the first mapping relationship; the evaluation standard is used to determine the digital transformation capability index under at least one secondary evaluation dimension.

[0009] Optionally, the method for determining the index range under each secondary evaluation dimension based on pre-acquired sample information, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension specifically includes: when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold and the minimum value of the sample information is less than the preset indicator threshold, determining the index range based on the maximum value of the sample information and the minimum value of the sample information; when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is less than the preset indicator threshold, determining the index range based on the preset indicator threshold and the minimum value of the sample information; when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, determining the index range based on the preset indicator threshold and the maximum value of the sample information.

[0010] Optionally, the method for determining a digital transformation capability index under a secondary evaluation dimension based on indicator information and evaluation criteria under a secondary evaluation dimension specifically includes: determining, based on a first mapping relationship, an index interval to which the indicator information under a secondary evaluation dimension belongs, and mapping the digital transformation capability index mapped to the index interval to which the indicator information under a secondary evaluation dimension belongs as the digital transformation capability index under a secondary evaluation dimension.

[0011] Optionally, when the indicator information is non-quantifiable information, the evaluation criteria include: a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension; the method for determining the digital transformation capability index under a secondary evaluation dimension based on the indicator information and evaluation criteria under a secondary evaluation dimension specifically includes: determining the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension according to the second mapping relationship, and determining the digital transformation capability index mapped by the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension as the digital transformation capability index under a secondary evaluation dimension.

[0012] Optionally, the preset algorithm satisfies the following formula:

[0013]

[0014] in, is the digital transformation capability index under the i-th secondary evaluation dimension in a primary evaluation dimension; W i is the weight of the i-th secondary evaluation dimension in a primary evaluation dimension; is the highest index of the digital transformation capability index under the i-th secondary evaluation dimension; P 2 It is the highest index of the digital transformation capability index under a first-level evaluation dimension; A2 is the digital transformation capability index under a first-level evaluation dimension; i is a positive integer; n is the number of second-level evaluation dimensions in a first-level evaluation dimension; n is a positive integer.

[0015] Optionally, the method for determining the digital transformation stage to which the object to be evaluated belongs based on the digital transformation capability indexes under multiple evaluation dimensions specifically includes: determining the sum of the digital transformation capability indexes under multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated; determining the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs based on a third mapping relationship between the pre-created digital transformation capability index interval and the digital transformation stage, and determining the digital transformation stage mapped by the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs as the digital transformation stage to which the object to be evaluated belongs.

[0016] In a second aspect, a digital evaluation device is provided, including: an acquisition unit and a processing unit; the acquisition unit is used to acquire multiple indicator information of an object to be evaluated under multiple evaluation dimensions; each evaluation dimension includes at least one indicator information; the processing unit is used to determine the digital transformation capability index under multiple evaluation dimensions according to the multiple indicator information acquired by the acquisition unit; the processing unit is also used to determine the digital transformation stage to which the object to be evaluated belongs according to the digital transformation capability index under multiple evaluation dimensions.

[0017] Optionally, the evaluation dimension includes at least one first-level evaluation dimension; each first-level evaluation dimension includes at least one second-level evaluation dimension; each second-level evaluation dimension includes an indicator information; the processing unit is specifically used to: for each second-level evaluation dimension, perform a first operation to obtain a digital transformation capability index under each second-level evaluation dimension; the first operation is: according to the indicator information and evaluation criteria under a second-level evaluation dimension, determine the digital transformation capability index under a second-level evaluation dimension; for each first-level evaluation dimension, perform a second operation to obtain the digital transformation capability index under each first-level evaluation dimension; the second operation is: according to the indicator information and evaluation criteria under at least one second-level evaluation dimension in a first-level evaluation dimension The digital transformation capability index under a first-level evaluation dimension is determined by the digital transformation capability index, the weight of each second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under each second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under a first-level evaluation dimension and a preset algorithm; for each evaluation dimension, the third operation is performed to obtain the digital transformation capability index under each evaluation dimension; the third operation is: determining the sum of the digital transformation capability indices under at least one first-level evaluation dimension in an evaluation dimension as the digital transformation capability index under an evaluation dimension.

[0018] Optionally, when the indicator information is quantifiable information, the processing unit is also used to: determine the index range under each secondary evaluation dimension based on the sample information pre-acquired by the acquisition unit, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension; create a first mapping relationship between the index range and the digital transformation capability index under each secondary evaluation dimension, and generate an evaluation standard including the first mapping relationship; the evaluation standard is used to determine the digital transformation capability index under at least one secondary evaluation dimension.

[0019] Optionally, the processing unit is specifically used to: when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold and the minimum value of the sample information is less than the preset indicator threshold, determine the index interval according to the maximum value of the sample information and the minimum value of the sample information; when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is less than the preset indicator threshold, determine the index interval according to the preset indicator threshold and the minimum value of the sample information; when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, determine the index interval according to the preset indicator threshold and the maximum value of the sample information.

[0020] Optionally, the processing unit is specifically used to: determine the index interval to which the indicator information under a secondary evaluation dimension belongs according to the first mapping relationship, and determine the digital transformation capability index mapped by the index interval to which the indicator information under a secondary evaluation dimension belongs as the digital transformation capability index under a secondary evaluation dimension.

[0021] Optionally, when the indicator information is non-quantifiable information, the evaluation criteria include: a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension; a processing unit, specifically used to: determine the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension according to the second mapping relationship, and determine the digital transformation capability index mapped by the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension as the digital transformation capability index under a secondary evaluation dimension.

[0022] Optionally, the preset algorithm satisfies the following formula:

[0023]

[0024] in, is the digital transformation capability index under the i-th secondary evaluation dimension in a primary evaluation dimension; W i is the weight of the i-th secondary evaluation dimension in a primary evaluation dimension; is the highest index of the digital transformation capability index under the i-th secondary evaluation dimension; P 2 It is the highest index of the digital transformation capability index under a first-level evaluation dimension; A 2 is the digital transformation capability index under a first-level evaluation dimension; i is a positive integer; n is the number of second-level evaluation dimensions in a first-level evaluation dimension; n is a positive integer.

[0025] Optionally, the processing unit is specifically used to: determine the sum of the digital transformation capability indexes under multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated; determine the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs according to a third mapping relationship between the pre-created digital transformation capability index interval and the digital transformation stage, and determine the digital transformation stage mapped by the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs as the digital transformation stage to which the object to be evaluated belongs.

[0026] In a third aspect, a digital evaluation device is provided, comprising a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the digital evaluation device is running, the processor executes the computer execution instructions stored in the memory, so that the digital evaluation device executes the digital evaluation method described in the first aspect.

[0027] The digital evaluation device may be a network device, or a part of a network device, such as a chip system in the network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any possible implementation thereof, for example, to obtain, determine, and send the data and / or information involved in the above-mentioned digital evaluation method. The chip system includes a chip, and may also include other discrete devices or circuit structures.

[0028] In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium comprising computer execution instructions, and when the computer execution instructions are executed on a computer, the computer executes the digital evaluation method described in the first aspect.

[0029] In a fifth aspect, a computer program product is also provided. The computer program product includes computer instructions. When the computer instructions are executed on a digital evaluation device, the digital evaluation device executes the digital evaluation method as described in the first aspect above.

[0030] It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a first computer-readable storage medium. The first computer-readable storage medium may be packaged together with the processor of the digital evaluation device, or may be packaged separately from the processor of the digital evaluation device, which is not limited in the embodiments of the present application.

[0031] The description of the second, third, fourth and fifth aspects of the present application can refer to the detailed description of the first aspect; and the beneficial effects of the second, third, fourth and fifth aspects can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

[0032] In the embodiments of the present application, the name of the digital evaluation device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalent technologies.

[0033] These and other aspects of the present application will become more apparent from the following description.

[0034] The technical solution provided by this application brings at least the following beneficial effects:

[0035] Based on any of the above aspects, an embodiment of the present application provides a digital evaluation method, which can determine the digital transformation capability index under multiple evaluation dimensions based on the obtained multiple indicator information of the object to be evaluated under multiple evaluation dimensions. Then, the digital transformation stage to which the object to be evaluated belongs can be determined based on the digital transformation capability index under multiple evaluation dimensions. Since each of the multiple evaluation dimensions in the digital evaluation method provided by the present application includes at least one indicator information, it can comprehensively reflect the evaluation index of the digital transformation capability of the object to be evaluated in the digital transformation process, and realize the accurate evaluation of the digital transformation capability of the object to be evaluated, and then according to the digital transformation stage to which the enterprise belongs, it can realize the analysis and regulation of the digital transformation capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of the structure of a digital evaluation system provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of the structure of a digital evaluation device provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the hardware structure of a digital evaluation device provided in an embodiment of the present application;

[0039] Figure 4A schematic diagram of the hardware structure of another digital evaluation device provided in an embodiment of the present application;

[0040] Figure 5 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 1 ;

[0041] Figure 6 A schematic diagram of the evaluation dimensions for evaluating digital transformation capabilities provided for this application;

[0042] Figure 7 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 2 ;

[0043] Figure 8 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 3 ;

[0044] Fig. 9 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 4 ;

[0045] Fig.10 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 5 ;

[0046] Fig.11 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 6 ;

[0047] Fig.12 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 7 ;

[0048] Fig.13 A schematic diagram of a digital evaluation method provided in the present application embodiment Figure 8 ;

[0049] Fig.14 A schematic diagram of the structure of a digital evaluation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0051] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0052] In order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and order of execution.

[0053] As shown in the background technology, the digital transformation process is a dynamic process of continuously optimizing resources. Therefore, how to build a convenient evaluation tool to analyze and regulate digital transformation capabilities according to the digital transformation stage of the enterprise is a technical problem that needs to be solved urgently.

[0054] The embodiment of the present application provides a digital evaluation method, which can determine the digital transformation capability index under multiple evaluation dimensions based on the obtained multiple indicator information of the object to be evaluated under multiple evaluation dimensions. Then, the digital transformation stage to which the object to be evaluated belongs can be determined based on the digital transformation capability index under multiple evaluation dimensions. Since each of the multiple evaluation dimensions in the digital evaluation method provided by the present application includes at least one indicator information, it can comprehensively reflect the evaluation index of the digital transformation capability of the object to be evaluated in the digital transformation process, and realize the accurate evaluation of the digital transformation capability of the object to be evaluated, so that the enterprise can realize the analysis and regulation of the digital transformation capability according to the digital transformation stage to which it belongs.

[0055] The digital evaluation method is applicable to a digital evaluation system. Figure 1 Figure 2 shows a structure of the digital evaluation system. Figure 1 As shown, the digital evaluation system includes: an indicator information maintenance device 110 and a digital evaluation device 120.

[0056] In one embodiment, the digital evaluation device 120 may establish communication connections with multiple indicator information maintenance devices. For ease of understanding, the present application takes the communication connection between an indicator information maintenance device 110 and a digital evaluation device 120 as an example for explanation.

[0057] In one embodiment, the indicator information maintenance device 110 is used to store, update and maintain the indicator information of the object to be evaluated.

[0058] Optionally, the indicator information maintenance device 110 can be a server in a server cluster (consisting of multiple servers) running other evaluation systems, or a chip in the server, or a system on a chip in the server, or can be implemented by a virtual machine (VM) deployed on a physical machine, which is not limited in this embodiment of the present application.

[0059] In one embodiment, the digital evaluation device 120 is used to maintain the index information of the object to be evaluated acquired by the index information maintenance device 110 .

[0060] Optionally, the digital evaluation device 120 can be a server in a server cluster (consisting of multiple servers), or a chip in the server, or a system on a chip in the server, or can be implemented by a virtual machine deployed on a physical machine, which is not limited in the embodiments of the present application.

[0061] Optionally, the indicator information maintenance device 110 may be a functional module within the digital evaluation device 120 , or may be a server independently provided from the digital evaluation device 120 .

[0062] It is easy to understand that when the indicator information maintenance device 110 is a functional module in the digital evaluation device 120, the communication method between the indicator information maintenance device 110 and the digital evaluation device 120 is the communication between the internal modules of the digital evaluation device 120. In this case, the communication process between the two is the same as "the communication process between the indicator information maintenance device 110 and the digital evaluation device 120 when they are independent of each other".

[0063] For ease of understanding, the present application mainly uses an example in which the indicator information maintenance device 110 is independently configured from the digital evaluation device 120 .

[0064] In one embodiment, in combination Figure 1 ,like Figure 2 As shown, Figure 2 A structure of a digital evaluation device 120 is shown. The digital evaluation device 120 may include: an indicator information acquisition module 201, a comprehensive analysis module 202, a digital transformation capability index display module 203, and a portrait analysis module 204.

[0065] The indicator information acquisition module 201 is specifically used to acquire the indicator information and sample information of the object to be evaluated under multiple evaluation dimensions from the indicator information maintenance device 110 .

[0066] The comprehensive analysis module 202 is specifically used to analyze the indicator information obtained by the indicator information acquisition module 201 to obtain the digital transformation capability index of the object to be evaluated at each level of evaluation dimensions and the digital transformation stage to which the object to be evaluated belongs.

[0067] The digital transformation capability index display module 203 is used to display the digital transformation capability index of the object to be evaluated under various evaluation dimensions and the digital transformation stage to which the object to be evaluated belongs, obtained by the comprehensive analysis module 202 .

[0068] The portrait analysis module 204 is used to perform a portrait analysis on the digital transformation capability of the object to be evaluated based on the digital transformation capability index of the object to be evaluated at each level of evaluation dimensions obtained by the comprehensive analysis module 202, combined with the sample information obtained by the indicator information acquisition module 201, and display the analysis results of the object to be evaluated through bar charts, radar charts, etc.

[0069] Combination Figure 1 The index information maintenance device 110 and the digital evaluation device 120 in the digital evaluation system both include Figure 3 or Figure 4 The communication device shown in FIG. Figure 3 and Figure 4 Taking the communication device shown as an example, the hardware structure of the indicator information maintenance device 110 and the digital evaluation device 120 is introduced.

[0070] like Figure 3 , which is a schematic diagram of a hardware structure of a communication device provided in an embodiment of the present application. The communication device includes a processor 21, a memory 22, a communication interface 23, and a bus 24. The processor 21, the memory 22, and the communication interface 23 can be connected via a bus 24.

[0071] The processor 21 is the control center of the communication device, which can be a processor or a general term for multiple processing elements. For example, the processor 21 can be a general-purpose central processing unit (CPU) or other general-purpose processors. Among them, the general-purpose processor can be a microprocessor or any conventional processor.

[0072] As an embodiment, the processor 21 may include one or more CPUs, such as Figure 3 CPU 0 and CPU 1 are shown in .

[0073] The memory 22 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0074] In a possible implementation, the memory 22 may exist independently of the processor 21, and the memory 22 may be connected to the processor 21 via a bus 24 to store instructions or program codes. When the processor 21 calls and executes the instructions or program codes stored in the memory 22, the digital evaluation method provided in the following embodiment of the present invention can be implemented.

[0075] In another possible implementation, the memory 22 may also be integrated with the processor 21 .

[0076] The communication interface 23 is used for the communication device to connect with other devices through a communication network, and the communication network may be Ethernet, wireless access network, wireless local area network (WLAN), etc. The communication interface 23 may include a receiving unit for receiving data and a sending unit for sending data.

[0077] The bus 24 may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0078] Figure 4 FIG. 2 shows another hardware structure of the communication device in the embodiment of the present invention. Figure 4 As shown, the communication device may include a processor 31 and a communication interface 32. The processor 31 is coupled to the communication interface 32.

[0079] The functions of the processor 31 may refer to the description of the processor 21. In addition, the processor 31 also has a storage function and can function as the memory 22 described above.

[0080] The communication interface 32 is used to provide data to the processor 31. The communication interface 32 may be an internal interface of the communication device, or an external interface of the communication device (equivalent to the communication interface 23).

[0081] It should be pointed out that Figure 3 (or Figure 4 ) does not constitute a limitation on the communication device, except Figure 3 (or Figure 4 ) In addition to the components shown in the figure, the communication device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0082] The digital evaluation method provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0083] Combination Figure 1 ,like Figure 5 As shown, Figure 5 A schematic diagram of a digital evaluation method provided for this application Figure 1 The digital evaluation method provided in the embodiment of the present application can be applied to Figure 1 The digital evaluation device 120 in the embodiment of the present invention. The digital evaluation method includes: S501-S503.

[0084] S501. A digital evaluation device obtains multiple indicator information of an object to be evaluated under multiple evaluation dimensions.

[0085] Each evaluation dimension includes at least one indicator information.

[0086] Optionally, each evaluation dimension may include at least one first-level evaluation dimension, each first-level evaluation dimension may include at least one second-level evaluation dimension, and each second-level evaluation dimension may include one indicator information.

[0087] For example, Figure 6 A schematic diagram of an evaluation dimension for evaluating digital transformation capabilities provided by the present application is shown.

[0088] When evaluating the digital transformation capabilities of the object to be evaluated, digital evaluation equipment can evaluate from multiple evaluation dimensions.

[0089] Among them, multiple evaluation dimensions may include but are not limited to the following five evaluation dimensions: digitalization of basic networks, digitalization of network capabilities, digitalization of network operations, digitalization of talent teams, and digitalization of R&D capabilities.

[0090] The digitization of basic networks can include but is not limited to the following two first-level evaluation dimensions: network software defined network (SDN) level and network cloud level.

[0091] The level of network SDNization may include but is not limited to the following secondary evaluation dimension: the network element SDN management rate.

[0092] The network element SDN management rate may include but is not limited to the following 1 indicator information: a first indicator value used to represent the network element SDN management rate of the object to be evaluated.

[0093] The network cloudification level may include but is not limited to the following secondary evaluation dimension: network element cloudification rate.

[0094] The network element cloudification rate may include but is not limited to the following 1 indicator information: a second indicator value used to represent the network element cloudification rate of the object to be evaluated.

[0095] The digitalization of network capabilities can include but is not limited to the following three first-level evaluation dimensions: network intelligence level, network resource visualization level, and network orchestration capability.

[0096] The network intelligence level may include but is not limited to the following three secondary evaluation dimensions: automatic inspection coverage rate, automatic service verification rate, and automatic fault diagnosis success rate.

[0097] The automatic inspection coverage rate may include but is not limited to the following 1 indicator information: a third indicator value used to represent the automatic inspection coverage rate of the object to be evaluated.

[0098] The automatic business verification rate may include but is not limited to the following 1 indicator information: a fourth indicator value used to represent the automatic business verification rate of the object to be evaluated.

[0099] The automatic fault diagnosis success rate may include, but is not limited to, the following 1 indicator information: a fifth indicator value used to represent the automatic fault diagnosis success rate of the object to be evaluated.

[0100] The level of network resource visualization may include but is not limited to the following three secondary evaluation dimensions: the accuracy of broadband port resource prediction, the success rate of automatic allocation of government and enterprise dual-line resources, and the accuracy of base station resource information.

[0101] The broadband port resource prediction accuracy may include but is not limited to the following 1 indicator information: a sixth indicator value used to represent the broadband port resource prediction accuracy of the object to be evaluated.

[0102] The success rate of automatic allocation of government and enterprise dual-line resources may include but is not limited to the following 1 indicator information: the seventh indicator value used to represent the success rate of automatic allocation of government and enterprise dual-line resources of the object to be evaluated.

[0103] The base station resource information accuracy rate may include but is not limited to the following 1 indicator information: an eighth indicator value used to represent the base station resource information accuracy rate of the object to be evaluated.

[0104] Network orchestration capabilities may include but are not limited to the following secondary evaluation dimension: business automatic orchestration level.

[0105] The service automatic orchestration level may include but is not limited to the following 1 indicator information: a first indicator feature used to represent the service automatic orchestration level of the object to be evaluated.

[0106] The digitalization of network operations can include but is not limited to the following four first-level evaluation dimensions: product innovation level, customer perception level, service provisioning efficiency, and fault handling efficiency.

[0107] The product innovation level may include but is not limited to the following two secondary evaluation dimensions: average time to marketing (TTM) of innovative products and annual revenue of innovative products.

[0108] The average launch cycle of innovative products may include but is not limited to the following 1 indicator information: a ninth indicator value used to represent the average launch cycle of innovative products of the object to be evaluated.

[0109] The annual income of innovative products may include but is not limited to the following 1 indicator information: the tenth indicator value used to represent the annual income of the innovative products of the object to be evaluated.

[0110] The customer perception level may include but is not limited to the following three secondary evaluation dimensions: the proportion of user problem location in the real-time experience evaluation of mobile network customers, the proportion of broadband users with accurate network quality perception location, and the online visibility rate of circuits for major customers.

[0111] The mobile network customer real-time experience evaluation user problem location ratio may include but is not limited to the following 1 indicator information: an eleventh indicator value used to represent the mobile network customer real-time experience evaluation user problem location ratio of the object to be evaluated.

[0112] The proportion of broadband users who perceive network quality and accurately locate users may include but is not limited to the following 1 indicator information: a twelfth indicator value used to represent the proportion of broadband users who perceive network quality and accurately locate users of the object to be evaluated.

[0113] The online visibility rate of the VIP customer circuit may include but is not limited to the following 1 indicator information: a thirteenth indicator value used to represent the online visibility rate of the VIP customer circuit of the object to be evaluated.

[0114] The service activation efficiency may include but is not limited to the following two secondary evaluation dimensions: the time limit for service activation for government and enterprise customers and the timeliness rate of service delivery for government and enterprise customers.

[0115] The time limit for activating services for government and enterprise customers may include but is not limited to the following 1 indicator information: the fourteenth indicator value used to represent the time limit for activating services for government and enterprise customers of the object to be evaluated.

[0116] The on-time delivery rate of government and enterprise customer services may include but is not limited to the following 1 indicator information: the fifteenth indicator value used to represent the on-time delivery rate of government and enterprise customer services of the object to be evaluated.

[0117] Fault handling efficiency may include but is not limited to the following two secondary evaluation dimensions: the 4-hour recovery rate for domestic cross-domain faults of government and enterprise customers and the accuracy rate of automatic fault dispatch.

[0118] The 4-hour timely recovery rate of domestic cross-domain failures for government and enterprise customers may include but is not limited to the following 1 indicator information: the sixteenth indicator value used to represent the 4-hour timely recovery rate of domestic cross-domain failures for government and enterprise customers of the evaluated object.

[0119] The accuracy rate of automatic fault dispatch may include but is not limited to the following 1 indicator information: a seventeenth indicator value used to represent the accuracy rate of automatic fault dispatch of the object to be evaluated.

[0120] The digitalization of the talent team can include but is not limited to the following two first-level evaluation dimensions: digital talent matching degree and digital talent certification level.

[0121] The digital talent matching degree may include but is not limited to the following two secondary evaluation dimensions: the completion rate of smart network engineer configuration and the completion rate of innovative engineer configuration.

[0122] The intelligent network engineer configuration completion rate may include but is not limited to the following 1 indicator information: an eighteenth indicator value used to represent the intelligent network engineer configuration completion rate of the object to be evaluated.

[0123] The innovative engineer configuration completion rate may include but is not limited to the following 1 indicator information: a nineteenth indicator value used to represent the innovative engineer configuration completion rate of the object to be evaluated.

[0124] The certification level of digital talents may include but is not limited to the following two secondary evaluation dimensions: the proportion of certified smart network engineer talents and the proportion of certified Internet technology (IT) / data technology (DT) talents.

[0125] The certified talent ratio of intelligent network engineers may include but is not limited to the following 1 indicator information: the twentieth indicator value used to represent the certified talent ratio of intelligent network engineers of the object to be evaluated.

[0126] The IT / DT talent certification ratio may include but is not limited to the following 1 indicator information: the 21st indicator value used to represent the IT / DT talent certification ratio of the object to be evaluated.

[0127] The digitalization of R&D capabilities can include but is not limited to the following first-level evaluation dimension: independent R&D level.

[0128] The level of independent research and development may include but is not limited to the following two secondary evaluation dimensions: the proportion of independent research and development investment and the proportion of independent research and development personnel.

[0129] The independent research and development investment ratio may include but is not limited to the following 1 indicator information: the 22nd indicator value used to represent the independent research and development investment ratio of the object to be evaluated.

[0130] The proportion of self-developed personnel may include but is not limited to the following 1 indicator information: the twenty-third indicator value used to represent the proportion of self-developed personnel of the object to be evaluated.

[0131] Optionally, the indicator information may be quantifiable information or non-quantifiable information.

[0132] Combination Figure 1 When the indicator information is quantifiable information, the method by which the digital evaluation device 120 obtains multiple indicator information of the object to be evaluated under multiple evaluation dimensions includes but is not limited to the following two methods, which are not limited in the embodiments of the present application.

[0133] Method 1: The digital evaluation device 120 may send a request message for obtaining the index information of the object to be evaluated to the index information maintenance device 110. In response to the request message, the index information maintenance device 110 may send the index information of the object to be evaluated to the digital evaluation device 120.

[0134] Method 2: When the stored index information of the object to be evaluated is updated, the index information maintenance device 110 can actively send the updated index information of the object to be evaluated to the digital evaluation device 120 .

[0135] When the indicator information is non-quantifiable information, the method for the digital evaluation device 120 to obtain multiple indicator information of the object to be evaluated under multiple evaluation dimensions may be: the digital evaluation device 120 may determine the pre-input non-quantifiable information of the object to be evaluated as the indicator information of the object to be evaluated.

[0136] S502. The digital evaluation device determines the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information.

[0137] Optionally, the method for the digital evaluation device to determine the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0138] Method 1: The digital evaluation device can determine the sum of at least one indicator information under each evaluation dimension as the digital transformation capability index under each evaluation dimension.

[0139] Method 2: The digital evaluation device can determine the digital transformation capability index under multiple evaluation dimensions mapped by multiple indicator information based on the mapping relationship between the indicator information under each evaluation dimension and the digital transformation capability index under each evaluation dimension that is created in advance.

[0140] Optionally, when each evaluation dimension includes at least one first-level evaluation dimension, each first-level evaluation dimension includes at least one second-level evaluation dimension, and each second-level evaluation dimension includes one indicator information, the method for the digital evaluation device to determine the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information may include: the digital evaluation device may determine the digital transformation capability index under multiple second-level evaluation dimensions based on multiple indicator information. Then, the digital evaluation device may determine the digital transformation capability index under multiple first-level evaluation dimensions based on the digital transformation capability index under multiple second-level evaluation dimensions. Subsequently, the digital evaluation device may determine the digital transformation capability index under multiple evaluation dimensions based on the digital transformation capability index under multiple first-level evaluation dimensions.

[0141] Optionally, the method for the digital evaluation device to determine the digital transformation capability index under multiple secondary evaluation dimensions based on multiple indicator information includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0142] Method 1: The digital evaluation device can determine the numerical value of an indicator information under each secondary evaluation dimension as the digital transformation capability index under each secondary evaluation dimension.

[0143] Method 2: The digital evaluation device can determine the digital transformation capability index under multiple secondary evaluation dimensions mapped by multiple indicator information based on the mapping relationship between the indicator information under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension that is created in advance.

[0144] Optionally, the method in which the digital evaluation device determines the digital transformation capability indexes under multiple first-level evaluation dimensions based on the digital transformation capability indexes under multiple second-level evaluation dimensions includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0145] Method 1: The digital evaluation device may determine the sum of the digital transformation capability index under at least one secondary evaluation dimension of each primary evaluation dimension as the digital transformation capability index under each primary evaluation dimension.

[0146] Method 2: The digital evaluation device can determine the digital transformation capability index under each first-level evaluation dimension as the sum of the products of the digital transformation capability index under each second-level evaluation dimension in at least one second-level evaluation dimension of each first-level evaluation dimension and the preset weight of the second-level evaluation dimension in the first-level evaluation dimension to which it belongs.

[0147] Optionally, the digital evaluation device determines the digital transformation capability index under multiple evaluation dimensions based on the digital transformation capability index under multiple first-level evaluation dimensions, and the method includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0148] Method 1: The digital evaluation device may determine the sum of the digital transformation capability index under at least one primary evaluation dimension of each evaluation dimension as the digital transformation capability index under each evaluation dimension.

[0149] Method 2: The digital evaluation device can determine the digital transformation capability index under each evaluation dimension as the sum of the products of the digital transformation capability index under each first-level evaluation dimension in at least one first-level evaluation dimension of each evaluation dimension and the preset weight of the first-level evaluation dimension in the evaluation dimension to which it belongs.

[0150] S503. The digital evaluation device determines the digital transformation stage to which the object to be evaluated belongs based on the digital transformation capability index under multiple evaluation dimensions.

[0151] Optionally, the method in which the digital evaluation device determines the digital transformation stage to which the object to be evaluated belongs according to the digital transformation capability index under multiple evaluation dimensions may include: the digital evaluation device may determine the digital transformation capability index of the object to be evaluated according to the digital transformation capability index under multiple evaluation dimensions. Then, the digital evaluation device may determine the digital transformation stage mapped by the digital transformation capability index of the object to be evaluated as the digital transformation stage to which the object to be evaluated belongs according to the mapping relationship between the digital transformation capability index and the digital transformation stage created in advance.

[0152] Optionally, the digital evaluation device may determine the digital transformation capability index of the object to be evaluated based on the digital transformation capability index under multiple evaluation dimensions, including but not limited to the following two methods, which are not limited to the embodiments of the present application.

[0153] Method 1: The digital evaluation device can determine the sum of the digital transformation capability indexes under multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated.

[0154] Method 2: The digital evaluation device can determine the digital transformation capability index of the object to be evaluated as the sum of the products of the digital transformation capability index under each evaluation dimension in multiple evaluation dimensions and the preset weight of the evaluation dimension.

[0155] The technical solution provided by the above embodiment brings at least the following beneficial effects: It can be seen from S501-S503 that the digital transformation capability index under multiple evaluation dimensions can be determined based on the multiple indicator information of the object to be evaluated under multiple evaluation dimensions. Then, the digital transformation stage to which the object to be evaluated belongs can be determined based on the digital transformation capability index under multiple evaluation dimensions. Since each of the multiple evaluation dimensions in the digital evaluation method provided in this application includes at least one indicator information, it can comprehensively reflect the evaluation indicators of the digital transformation capability of the object to be evaluated in the digital transformation process, and realize the accurate evaluation of the digital transformation capability of the object to be evaluated, so that the enterprise can realize the analysis and regulation of the digital transformation capability according to the digital transformation stage to which it belongs.

[0156] In an optional embodiment, the evaluation dimension includes at least one first-level evaluation dimension, each first-level evaluation dimension includes at least one second-level evaluation dimension, and each second-level evaluation dimension includes an indicator information. In this case, the digital evaluation device in S502 determines the digital transformation capability index under multiple evaluation dimensions. Figure 5 Based on the method embodiment shown, this embodiment provides a possible implementation method, such as Figure 7 As shown, Figure 7 A schematic diagram of a digital evaluation method provided for this application Figure 2 The method in S502 whereby the digital evaluation device determines the digital transformation capability index under multiple evaluation dimensions according to multiple indicator information specifically includes: S701-S703.

[0157] S701. The digital evaluation device performs the first operation for each secondary evaluation dimension to obtain a digital transformation capability index under each secondary evaluation dimension.

[0158] Among them, the first operation is: the digital evaluation device determines a digital transformation capability index under a secondary evaluation dimension based on indicator information and evaluation criteria under a secondary evaluation dimension.

[0159] Optionally, when the indicator information is quantifiable information, the evaluation criteria may include a first mapping relationship between the index interval under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension.

[0160] In this case, combined Figure 2 The method for the digital evaluation device 120 to determine the digital transformation capability index under a secondary evaluation dimension according to the indicator information and evaluation criteria under a secondary evaluation dimension may include: the comprehensive analysis module 202 in the digital evaluation device 120 determines the index interval to which the indicator information under a secondary evaluation dimension belongs according to the indicator information under a secondary evaluation dimension acquired by the indicator information acquisition module 201 from the indicator information maintenance device 110. Then, the comprehensive analysis module 202 determines the digital transformation capability index mapped to the index interval to which the indicator information under a secondary evaluation dimension belongs according to the first mapping relationship, and determines the digital transformation capability index as the digital transformation capability index under a secondary evaluation dimension.

[0161] Optionally, when the indicator information is non-quantifiable information, the evaluation criteria may include a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension.

[0162] In this case, combined Figure 2 The method for the digital evaluation device 120 to determine a digital transformation capability index under a secondary evaluation dimension according to the indicator information and evaluation criteria under a secondary evaluation dimension may include: the comprehensive analysis module 202 in the digital evaluation device 120 determines the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension according to the indicator information under a secondary evaluation dimension acquired by the indicator information acquisition module 201 from the indicator information maintenance device 110. Then, the comprehensive analysis module 202 determines the digital transformation capability index mapped to the indicator characteristics corresponding to the indicator information under a secondary evaluation dimension according to the second mapping relationship, and determines the digital transformation capability index as the digital transformation capability index under a secondary evaluation dimension.

[0163] Optional, combined Figure 2 After the comprehensive analysis module 202 in the digital evaluation device 120 performs the first operation on each secondary evaluation dimension to obtain the digital transformation capability index under each secondary evaluation dimension, the digital evaluation device 120 can display the digital transformation capability index under each secondary evaluation dimension through the digital transformation capability index display module 203. The digital evaluation device 120 can also perform a portrait analysis of the digital transformation capability of the evaluation object under each secondary evaluation dimension according to the digital transformation capability index under each secondary evaluation dimension through the portrait analysis module 204.

[0164] S702. The digital evaluation device performs the second operation for each first-level evaluation dimension to obtain a digital transformation capability index under each first-level evaluation dimension.

[0165] Among them, the second operation is: the digital evaluation device determines the digital transformation capability index under a first-level evaluation dimension based on the digital transformation capability index under at least one second-level evaluation dimension in a first-level evaluation dimension, the weight of each second-level evaluation dimension in at least one second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under each second-level evaluation dimension in a first-level evaluation dimension, the highest index of the digital transformation capability index under a first-level evaluation dimension and a preset algorithm.

[0166] Optionally, as shown in Table 1, Table 1 shows the weight of a secondary evaluation dimension in its corresponding primary evaluation dimension, which is not limited in this embodiment of the present application.

[0167] Table 1 The weight of a secondary evaluation dimension in its primary evaluation dimension

[0168]

[0169] Optionally, the preset algorithm may satisfy the following formula:

[0170]

[0171] in, is the digital transformation capability index under the i-th secondary evaluation dimension in a primary evaluation dimension; W i is the weight of the i-th secondary evaluation dimension in a primary evaluation dimension; is the highest index of the digital transformation capability index under the i-th secondary evaluation dimension; P 2 It is the highest index of the digital transformation capability index under a first-level evaluation dimension; A 2 is the digital transformation capability index under a first-level evaluation dimension; i is a positive integer; n is the number of second-level evaluation dimensions in a first-level evaluation dimension; n is a positive integer.

[0172] Optional, combined Figure 2 After the comprehensive analysis module 202 in the digital evaluation device 120 performs the second operation for each first-level evaluation dimension and obtains the digital transformation capability index under each first-level evaluation dimension, the digital evaluation device 120 can display the digital transformation capability index under each first-level evaluation dimension through the digital transformation capability index display module 203. The digital evaluation device 120 can also perform a portrait analysis of the digital transformation capability of the evaluation object under each first-level evaluation dimension according to the digital transformation capability index under each first-level evaluation dimension through the portrait analysis module 204.

[0173] S703. The digital evaluation device performs the third operation for each evaluation dimension to obtain a digital transformation capability index under each evaluation dimension.

[0174] Among them, the third operation is: the digital evaluation device determines the sum of the digital transformation capability index under at least one first-level evaluation dimension in one evaluation dimension as the digital transformation capability index under one evaluation dimension.

[0175] Optional, combined Figure 2 After the comprehensive analysis module 202 in the digital evaluation device 120 performs the third operation for each evaluation dimension to obtain the digital transformation capability index under each evaluation dimension, the digital evaluation device 120 can display the digital transformation capability index under each evaluation dimension through the digital transformation capability index display module 203. The digital evaluation device 120 can also perform a portrait analysis of the digital transformation capability of the evaluation object under each evaluation dimension according to the digital transformation capability index under each evaluation dimension through the portrait analysis module 204.

[0176] The technical solution provided by the above embodiment brings at least the following beneficial effects: It can be seen from S701-S703 that the digital evaluation device can obtain the digital transformation capability index under each secondary evaluation dimension by performing the first operation on each secondary evaluation dimension. Then, the digital evaluation device can obtain the digital transformation capability index under each primary evaluation dimension by performing the second operation on each primary evaluation dimension. Then, the digital evaluation device can continue to perform the third operation on each evaluation dimension to obtain the digital transformation capability index under each evaluation dimension. In this way, the digital evaluation device can obtain the digital transformation capability index of the object to be evaluated under each level of evaluation dimensions, thereby enabling the digital transformation capability of the object to be evaluated to be analyzed in a portrait manner under each level of evaluation dimensions, thereby achieving a comprehensive analysis of the digital transformation capability of the object to be evaluated.

[0177] In an optional embodiment, when the indicator information is quantifiable information, Figure 7 Based on the method embodiment shown, this embodiment provides a possible implementation method, such as Figure 8 As shown, Figure 8 A schematic diagram of a digital evaluation method provided for this application Figure 3 The digital evaluation method further includes: S801-S802.

[0178] S801. The digital evaluation device determines the index range under each secondary evaluation dimension according to the pre-acquired sample information, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension.

[0179] Optionally, the sample information is indicator information of other evaluation objects in the same industry field, or indicator information of other evaluation objects in the same region.

[0180] Optionally, when the preset expected value is greater than or equal to the preset indicator threshold, the digital evaluation device determines the index range under each secondary evaluation dimension based on the pre-acquired sample information, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension. The method includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0181] Method 1: The digital evaluation device can determine the value range of the sample information distribution that is greater than or equal to the preset index threshold, and evenly divide the value range into multiple index intervals.

[0182] Method 2: The digital evaluation device can determine the value range of the sample information distribution that is greater than or equal to the preset index threshold, and divide the value range into multiple index intervals with the same probability of occurrence of sample information.

[0183] Optionally, when the preset expected value is less than or equal to the preset indicator threshold, the digital evaluation device determines the index range under each secondary evaluation dimension based on the pre-acquired sample information, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension. The method includes but is not limited to the following two methods, which are not limited to the embodiments of the present application.

[0184] Method 1: The digital evaluation device can determine the value range of the sample information distribution that is less than or equal to the preset index threshold, and evenly divide the value range into multiple index intervals.

[0185] Method 2: The digital evaluation device can determine the value range of the sample information distribution that is less than or equal to the preset index threshold, and divide the value range into multiple index intervals with the same probability of occurrence of sample information.

[0186] S802. The digital evaluation device creates a first mapping relationship between the index interval and the digital transformation capability index under each secondary evaluation dimension, and generates an evaluation standard including the first mapping relationship.

[0187] Among them, the evaluation criteria are used to determine the digital transformation capability index under at least one secondary evaluation dimension.

[0188] Optionally, when a preset expected value is greater than or equal to a preset indicator threshold, the method for a digital evaluation device to create a first mapping relationship between an index interval and a digital transformation capability index under each secondary evaluation dimension includes: the digital evaluation device may map the index interval including the maximum value to the highest index of the digital transformation capability index under each secondary evaluation dimension, and other index intervals may reduce the mapped digital transformation capability index under the secondary evaluation dimension in sequence as the value decreases.

[0189] Optionally, when a preset expected value is less than or equal to a preset indicator threshold, the method for a digital evaluation device to create a first mapping relationship between an index interval and a digital transformation capability index under each secondary evaluation dimension includes: the digital evaluation device may map the index interval including the minimum value to the highest index of the digital transformation capability index under each secondary evaluation dimension, and other index intervals may reduce the mapped digital transformation capability index under the secondary evaluation dimension in sequence according to increasing values.

[0190] The technical solution provided by the above embodiment brings at least the following beneficial effects: It can be seen from S801-S802 that the digital evaluation device can determine the index interval under each secondary evaluation dimension based on the pre-acquired sample information, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension. Then, the digital evaluation device can create a first mapping relationship between the index interval and the digital transformation capability index under each secondary evaluation dimension, and generate an evaluation standard including the first mapping relationship. In this way, the digital evaluation device can generate an evaluation standard for the object to be evaluated based on the sample information corresponding to the object to be evaluated, the expected value and the preset indicator threshold, so that the digital evaluation device can analyze the quantifiable index information of the object to be evaluated in a targeted manner according to the evaluation standard, thereby improving the accuracy of the digital transformation capability evaluation of the object to be evaluated.

[0191] In an optional embodiment, in S801, the digital evaluation device determines the index interval under each secondary evaluation dimension. Figure 8 Based on the method embodiment shown, this embodiment provides a possible implementation method, such as Fig. 9 As shown, Fig. 9 A schematic diagram of a digital evaluation method provided for this application Figure 4 In S801, the method in which the digital evaluation device determines the index interval under each secondary evaluation dimension according to the pre-acquired sample information, the preset expected value under each secondary evaluation dimension and the preset indicator threshold under each secondary evaluation dimension specifically includes: S901-S903.

[0192] S901. When the preset expected value is greater than or equal to the preset indicator threshold and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold and the minimum value of the sample information is less than the preset indicator threshold, the digital evaluation device determines the index range based on the maximum value of the sample information and the minimum value of the sample information.

[0193] Optionally, when the preset expected value is greater than or equal to the preset index threshold, and the maximum value of the sample information is greater than or equal to the preset index threshold, the digital evaluation device determines the index interval based on the maximum value of the sample information, the minimum value of the sample information and the first end value algorithm of the preset index interval.

[0194] Optionally, as shown in Table 2, Table 2 shows a first end value algorithm, which is not limited in the embodiment of the present application.

[0195] Table 2 First end value algorithm

[0196]

[0197]

[0198] Among them, I min is the minimum value of sample information, I max is the maximum value of the sample information, Δ is the difference between the maximum value of the sample information and the minimum value of the sample information, that is, Δ = I max -I min .

[0199] Optionally, when the preset expected value is less than or equal to the preset index threshold, and the minimum value of the sample information is less than the preset index threshold, the digital evaluation device determines the index interval based on the maximum value of the sample information, the minimum value of the sample information and the second end value algorithm of the preset index interval.

[0200] Optionally, as shown in Table 3, Table 3 shows a second end value algorithm, which is not limited in the embodiment of the present application.

[0201] Table 3 Second end value algorithm

[0202]

[0203] Among them, I min is the minimum value of sample information, I max is the maximum value of the sample information, Δ is the difference between the maximum value of the sample information and the minimum value of the sample information, that is, Δ = I max -I min .

[0204] S902: When the preset expected value is greater than or equal to the preset indicator threshold and the maximum value of the sample information is less than the preset indicator threshold, the digital evaluation device determines the index interval according to the preset indicator threshold and the minimum value of the sample information.

[0205] Optionally, when the preset expected value is greater than or equal to the preset index threshold and the maximum value of the sample information is less than the preset index threshold, the digital evaluation device determines the index interval based on the preset index threshold, the minimum value of the sample information and the third end value algorithm of the preset index interval.

[0206] Optionally, as shown in Table 4, Table 4 shows a third end value algorithm, which is not limited in the embodiments of the present application.

[0207] Table 4 Third end value algorithm

[0208]

[0209] Among them, I min is the minimum value of sample information, I target is the preset index threshold, Δ is the difference between the preset index threshold and the minimum value of the sample information, that is, Δ=I target -I min .

[0210] S903: When the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, the digital evaluation device determines the index interval according to the preset indicator threshold and the maximum value of the sample information.

[0211] Optionally, when the preset expected value is less than or equal to the preset index threshold and the minimum value of the sample information is greater than or equal to the preset index threshold, the digital evaluation device determines the index interval based on the preset index threshold, the maximum value of the sample information and the fourth end value algorithm of the preset index interval.

[0212] Optionally, as shown in Table 5, Table 5 shows a fourth end value algorithm, which is not limited in the embodiment of the present application.

[0213] Table 5 Fourth end value algorithm

[0214]

[0215] Among them, I max is the maximum value of sample information, I target is the preset index threshold, Δ is the difference between the maximum value of the sample information and the preset index threshold, that is, Δ=I ma -I target .

[0216] The technical solution provided by the above embodiment brings at least the following beneficial effects: As can be seen from S901-S903, the digital evaluation device can determine the division method of the index interval under each secondary evaluation dimension in multiple situations according to the pre-acquired sample information, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension. In this way, the digital evaluation device can realize the dynamic adjustment of the index interval under each secondary evaluation dimension, so that the index interval under each secondary evaluation dimension is more targeted, and the accuracy of the evaluation of the digital transformation capability of the evaluation object is improved.

[0217] In an optional embodiment, in S701, the digital evaluation device determines the digital transformation capability index under each secondary evaluation dimension. Figure 8 Based on the method embodiment shown, this embodiment provides a possible implementation method, such as Fig.10 As shown, Fig.10 A schematic diagram of a digital evaluation method provided for this application Figure 5 The method in S701 whereby the digital evaluation device determines a digital transformation capability index under a secondary evaluation dimension according to indicator information and evaluation criteria under a secondary evaluation dimension specifically includes: S1001.

[0218] S1001. The digital evaluation device determines, based on the first mapping relationship, an index interval to which indicator information under a secondary evaluation dimension belongs, and determines the digital transformation capability index mapped to the index interval to which indicator information under a secondary evaluation dimension belongs as a digital transformation capability index under a secondary evaluation dimension.

[0219] The technical solution provided by the above embodiment brings at least the following beneficial effects: As can be seen from S1001, the digital evaluation device can determine the digital transformation capability index mapped to the index interval to which the indicator information under a secondary evaluation dimension belongs as the digital transformation capability index under a secondary evaluation dimension. In this way, when the indicator information is quantifiable information, the digital evaluation device can determine the digital transformation capability index under multiple secondary evaluation dimensions based on the obtained multiple indicator information of the object to be evaluated.

[0220] In an optional embodiment, when the indicator information is non-quantifiable information, the evaluation criteria include: a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension. In this case, in S701, the digital evaluation device determines the digital transformation capability index under each secondary evaluation dimension. Figure 7 Based on the method embodiment shown, this embodiment provides a possible implementation method, such as Fig.11 As shown, Fig.11A schematic diagram of a digital evaluation method provided for this application Figure 6 The method in S701 whereby the digital evaluation device determines a digital transformation capability index under a secondary evaluation dimension according to indicator information and evaluation criteria under a secondary evaluation dimension specifically includes: S1101.

[0221] S1101. The digital evaluation device determines, based on the second mapping relationship, an indicator feature corresponding to the indicator information under a secondary evaluation dimension, and determines the digital transformation capability index mapped by the indicator feature corresponding to the indicator information under a secondary evaluation dimension as the digital transformation capability index under a secondary evaluation dimension.

[0222] Optionally, when the secondary evaluation dimension is the level of automatic business orchestration, the indicator characteristics include: end-to-end automatic orchestration of the entire network, cross-network and cross-domain orchestration, single-network cross-domain orchestration, single-network single-domain orchestration, orchestration conditions are available but not yet implemented, and orchestration conditions are not available.

[0223] Optionally, as shown in Table 6, Table 6 shows a second mapping relationship.

[0224] Table 6 Second mapping relationship

[0225] Indicator characteristics Digital transformation capability index under the secondary evaluation dimension End-to-end automatic orchestration across the entire network 5 Cross-network and cross-domain orchestration 4 Single network cross-domain orchestration 3 Single network single domain orchestration 2 The conditions for orchestration are met but not yet implemented 1 No arrangement conditions 0

[0226] The technical solution provided by the above embodiment brings at least the following beneficial effects: As can be seen from S1101, the digital evaluation device can determine the digital transformation capability index mapped to the index interval to which the indicator information under a secondary evaluation dimension belongs as the digital transformation capability index under a secondary evaluation dimension. In this way, when the indicator information is quantifiable information, the digital evaluation device can determine the digital transformation capability index under multiple secondary evaluation dimensions based on the obtained multiple indicator information of the object to be evaluated.

[0227] In an optional embodiment, in S503, the digital evaluation device determines the digital transformation stage to which the object to be evaluated belongs. Figure 5-Figure 11 Based on any of the method embodiments shown, this embodiment provides a possible implementation method, such as Fig.12 As shown, Fig.12 A schematic diagram of a digital evaluation method provided for this application Figure 7 The method in S503 in which the digital evaluation device determines the digital transformation stage to which the object to be evaluated belongs according to the digital transformation capability index under multiple evaluation dimensions specifically includes: S1201-S1202.

[0228] S1201. The digital evaluation device determines the sum of the digital transformation capability indexes under multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated.

[0229] Optional, combined Figure 2 After the comprehensive analysis module 202 in the digital evaluation device 120 determines the digital transformation capability index of the object to be evaluated as the sum of the digital transformation capability indexes under multiple evaluation dimensions, the digital evaluation device 120 can display the digital transformation capability index of the object to be evaluated through the digital transformation capability index display module 203. The digital evaluation device 120 can also perform a portrait analysis on the digital transformation capability of the object to be evaluated according to the digital transformation capability index of the object to be evaluated through the portrait analysis module 204.

[0230] S1202. The digital evaluation device determines the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs based on a pre-created third mapping relationship between the digital transformation capability index interval and the digital transformation stage, and determines the digital transformation stage to which the digital transformation capability index of the object to be evaluated is mapped as the digital transformation stage to which the object to be evaluated belongs.

[0231] Optionally, as shown in Table 7, Table 7 shows a third mapping relationship.

[0232] Table 7 The third mapping relationship

[0233] Digital Transformation Capability Index Range Digital transformation stage [80，100] Leadership Stage [60，80) Leading stage [40，60) Attack stage [20，40) Development Stage [0，20) Getting Started

[0234] Optional, combined Figure 2 After the comprehensive analysis module 202 in the digital evaluation device 120 determines the digital transformation stage of the object to be evaluated, the digital evaluation device 120 can display the digital transformation stage of the object to be evaluated through the digital transformation capability index display module 203. The digital evaluation device 120 can also perform a portrait analysis of the digital transformation capability of the object to be evaluated according to the digital transformation stage of the object to be evaluated through the portrait analysis module 204.

[0235] The technical solution provided by the above embodiment brings at least the following beneficial effects: From S1201-S1202, it can be seen that the digital evaluation device can determine the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs, and the digital transformation stage mapped to the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs is determined as the digital transformation stage to which the object to be evaluated belongs. In this way, the digital evaluation device can determine the digital transformation stage to which the object to be evaluated belongs, and then can realize the analysis and regulation of digital transformation capabilities according to the digital transformation stage to which the enterprise belongs.

[0236] Combine the following Fig.13 , this embodiment is described. Fig.13A schematic diagram of a digital evaluation method provided for this application Figure 8 The digital evaluation method further includes: S1301-S1305.

[0237] S1301. A digital evaluation device determines multiple evaluation dimensions.

[0238] Each evaluation dimension includes at least one first-level evaluation dimension, and each first-level evaluation dimension includes at least one second-level evaluation dimension.

[0239] S1302. The digital evaluation device determines an operation method for determining a digital transformation capability index under multiple evaluation dimensions based on indicator information.

[0240] Among them, the operation method includes: a first operation for determining the digital transformation capability index under the secondary evaluation dimension according to indicator information, a second operation for determining the digital transformation capability index under the primary evaluation dimension according to the digital transformation capability index under the secondary evaluation dimension, and a third operation for determining the digital transformation capability index under the evaluation dimension according to the digital transformation capability index under the primary evaluation dimension.

[0241] S1303: The digital evaluation device obtains multiple indicator information of the object to be evaluated under multiple evaluation dimensions.

[0242] S1304. The digital evaluation device determines the digital transformation capability index under multiple evaluation dimensions based on multiple indicator information and operation methods.

[0243] S1305. The digital evaluation device displays the digital transformation capability index under multiple evaluation dimensions, and performs a portrait analysis on the digital transformation capability of the evaluation object based on the digital transformation capability index under multiple evaluation dimensions.

[0244] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0245] The embodiment of the present application can divide the digital evaluation device into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0246] like Fig.14 The figure is a schematic diagram of the structure of a digital evaluation device provided in an embodiment of the present application. The digital evaluation device can be used to perform Figure 5 , Figure 7 , Figure 8 , Fig. 9 , Fig.10 , Fig.11 , Fig.12 or Fig.13 The digital evaluation method shown. Fig.14 The digital evaluation device shown includes: an acquisition unit 1401 and a processing unit 1402 .

[0247] The acquisition unit 1401 is used to acquire multiple indicator information of the object to be evaluated under multiple evaluation dimensions. Figure 5 , the acquisition unit 1401 is used to execute S501.

[0248] The processing unit 1402 is used to determine the digital transformation capability index under multiple evaluation dimensions according to the multiple indicator information obtained by the obtaining unit 1401. Figure 5 , the processing unit 1402 is used to execute S502.

[0249] The processing unit 1402 is further configured to determine the digital transformation stage to which the object to be evaluated belongs according to the digital transformation capability index under multiple evaluation dimensions. Figure 5 , the processing unit 1402 is used to execute S503.

[0250] Optionally, the processing unit 1402 is specifically configured to: perform a first operation for each secondary evaluation dimension to obtain a digital transformation capability index under each secondary evaluation dimension; perform a second operation for each primary evaluation dimension to obtain a digital transformation capability index under each primary evaluation dimension; perform a third operation for each evaluation dimension to obtain a digital transformation capability index under each evaluation dimension. Figure 7 , the processing unit 1402 is used to execute S701-S703.

[0251] Optionally, the processing unit 1402 is further configured to: determine the index interval under each secondary evaluation dimension according to the sample information pre-acquired by the acquisition unit 1401, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension; create a first mapping relationship between the index interval and the digital transformation capability index under each secondary evaluation dimension, and generate an evaluation standard including the first mapping relationship. Figure 8 , the processing unit 1402 is used to execute S801-S802.

[0252] Optionally, the processing unit 1402 is specifically used to: when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is less than the preset indicator threshold, determine the index interval according to the maximum value of the sample information and the minimum value of the sample information; when the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is less than the preset indicator threshold, determine the index interval according to the preset indicator threshold and the minimum value of the sample information; when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, determine the index interval according to the preset indicator threshold and the maximum value of the sample information. For example, in combination Fig. 9 , the processing unit 1402 is used to execute S901-S903.

[0253] Optionally, the processing unit 1402 is specifically configured to: determine, according to the first mapping relationship, the index interval to which the indicator information under a secondary evaluation dimension belongs, and determine the digital transformation capability index mapped to the index interval to which the indicator information under a secondary evaluation dimension belongs as the digital transformation capability index under a secondary evaluation dimension. Fig.10 , processing unit 1402 is used to execute S1001.

[0254] Optionally, the processing unit 1402 is specifically configured to: determine, according to the second mapping relationship, an indicator feature corresponding to the indicator information under a secondary evaluation dimension, and determine the digital transformation capability index mapped by the indicator feature corresponding to the indicator information under a secondary evaluation dimension as the digital transformation capability index under a secondary evaluation dimension. Fig.11 , the processing unit 1402 is used to execute S1101.

[0255] Optionally, processing unit 1402 is specifically used to: determine the sum of the digital transformation capability indexes under multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated; determine the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs according to a third mapping relationship between the pre-created digital transformation capability index interval and the digital transformation stage, and determine the digital transformation stage mapped to the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs as the digital transformation stage to which the object to be evaluated belongs. For example, in combination Fig.12 , the processing unit 1402 is used to execute S1201-S1202.

[0256] An embodiment of the present application also provides a computer-readable storage medium, which includes computer-executable instructions. When the computer-executable instructions are executed on a computer, the computer executes the digital evaluation method provided in the above embodiment.

[0257] The embodiment of the present application also provides a computer program, which can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program can implement the digital evaluation method provided in the above embodiment.

[0258] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the present invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented using software, the functions may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer-readable storage media and communication media, wherein communication media include any media that facilitates the transmission of a computer program from one place to another. The storage medium may be any available medium that a general or special-purpose computer can access.

[0259] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0260] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may be a physical unit or multiple physical units, that is, it may be located in one place, or it may be distributed in multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0261] In addition, each functional unit in each embodiment of the present invention can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the usual technology or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a disk, or an optical disk.

[0262] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A digital evaluation method, characterized in that: include: Acquire multiple indicator information of the object to be evaluated under multiple evaluation dimensions; each evaluation dimension includes at least one indicator information; the evaluation dimension includes at least one first-level evaluation dimension; each first-level evaluation dimension includes at least one second-level evaluation dimension; each second-level evaluation dimension includes one indicator information; For each of the secondary evaluation dimensions, a first operation is performed to obtain a digital transformation capability index under each of the secondary evaluation dimensions; the first operation is: determining a digital transformation capability index under one of the secondary evaluation dimensions according to indicator information and evaluation criteria under one of the secondary evaluation dimensions; For each of the first-level evaluation dimensions, a second operation is performed to obtain a digital transformation capability index under each of the first-level evaluation dimensions; the second operation is: according to the digital transformation capability index under at least one second-level evaluation dimension in a first-level evaluation dimension, the weight of each second-level evaluation dimension in at least one second-level evaluation dimension in the first-level evaluation dimension, the highest index of the digital transformation capability index under each second-level evaluation dimension in the first-level evaluation dimension, the highest index of the digital transformation capability index under the first-level evaluation dimension and a preset algorithm, determine the digital transformation capability index under the first-level evaluation dimension; For each of the evaluation dimensions, a third operation is performed to obtain a digital transformation capability index under each of the evaluation dimensions; the third operation is: determining the sum of the digital transformation capability index under at least one primary evaluation dimension in one evaluation dimension as the digital transformation capability index under the one evaluation dimension; According to the digital transformation capability indexes under the multiple evaluation dimensions, the digital transformation stage to which the object to be evaluated belongs is determined.

2. The digital evaluation method according to claim 1, characterized in that: When the indicator information is quantifiable information, the digital evaluation method further includes: Determine the index range under each secondary evaluation dimension according to the pre-acquired sample information, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension; Create a first mapping relationship between the index range and the digital transformation capability index under each secondary evaluation dimension, and generate an evaluation standard including the first mapping relationship; the evaluation standard is used to determine the digital transformation capability index under at least one secondary evaluation dimension.

3. The digital evaluation method according to claim 2, characterized in that: Determining the index range under each secondary evaluation dimension according to the pre-acquired sample information, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension includes: When the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is less than the preset indicator threshold, the index interval is determined according to the maximum value of the sample information and the minimum value of the sample information; When the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is less than the preset indicator threshold, determining the index interval according to the preset indicator threshold and the minimum value of the sample information; When the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, the index interval is determined according to the preset indicator threshold and the maximum value of the sample information.

4. The digital evaluation method according to claim 2, characterized in that: Determining the digital transformation capability index under one of the secondary evaluation dimensions according to the indicator information and evaluation criteria under one of the secondary evaluation dimensions includes: According to the first mapping relationship, determine the index interval to which the indicator information under the one secondary evaluation dimension belongs, and determine the digital transformation capability index mapped to the index interval to which the indicator information under the one secondary evaluation dimension belongs as the digital transformation capability index under the one secondary evaluation dimension.

5. The digital evaluation method according to claim 1, characterized in that: When the indicator information is non-quantifiable information, the evaluation criteria include: a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension; Determining the digital transformation capability index under one of the secondary evaluation dimensions according to the indicator information and evaluation criteria under one of the secondary evaluation dimensions includes: According to the second mapping relationship, determine the indicator characteristics corresponding to the indicator information under the one secondary evaluation dimension, and determine the digital transformation capability index mapped by the indicator characteristics corresponding to the indicator information under the one secondary evaluation dimension as the digital transformation capability index under the one secondary evaluation dimension.

6. The digital evaluation method according to claim 1, characterized in that: The preset algorithm satisfies the following formula: in, is the digital transformation capability index under the i-th secondary evaluation dimension in the first-level evaluation dimension; W i is the weight of the i-th secondary evaluation dimension in the one primary evaluation dimension; is the highest index of the digital transformation capability index under the i-th secondary evaluation dimension; P2 is the highest index of the digital transformation capability index under the one first-level evaluation dimension; A2 is the digital transformation capability index under the one first-level evaluation dimension; i is a positive integer; n is the number of secondary evaluation dimensions in the one first-level evaluation dimension; n is a positive integer.

7. The digital evaluation method according to any one of claims 1 to 6, characterized in that: Determining the digital transformation stage to which the object to be evaluated belongs according to the digital transformation capability indexes under the multiple evaluation dimensions includes: Determining the sum of the digital transformation capability indexes under the multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated; According to the third mapping relationship between the pre-created digital transformation capability index interval and the digital transformation stage, the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs is determined, and the digital transformation stage mapped to the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs is determined as the digital transformation stage to which the object to be evaluated belongs.

8. A digital evaluation device, characterized in that: include: Acquisition unit and processing unit; The acquisition unit is used to acquire multiple indicator information of the object to be evaluated under multiple evaluation dimensions; each evaluation dimension includes at least one indicator information; the evaluation dimension includes at least one first-level evaluation dimension; each first-level evaluation dimension includes at least one second-level evaluation dimension; each second-level evaluation dimension includes one indicator information; The processing unit is specifically used for: For each of the secondary evaluation dimensions, a first operation is performed to obtain a digital transformation capability index under each of the secondary evaluation dimensions; the first operation is: determining a digital transformation capability index under one of the secondary evaluation dimensions according to indicator information and evaluation criteria under one of the secondary evaluation dimensions; For each of the first-level evaluation dimensions, a second operation is performed to obtain a digital transformation capability index under each of the first-level evaluation dimensions; the second operation is: according to the digital transformation capability index under at least one second-level evaluation dimension in a first-level evaluation dimension, the weight of each second-level evaluation dimension in at least one second-level evaluation dimension in the first-level evaluation dimension, the highest index of the digital transformation capability index under each second-level evaluation dimension in the first-level evaluation dimension, the highest index of the digital transformation capability index under the first-level evaluation dimension and a preset algorithm, determine the digital transformation capability index under the first-level evaluation dimension; For each of the evaluation dimensions, a third operation is performed to obtain a digital transformation capability index under each of the evaluation dimensions; the third operation is: determining the sum of the digital transformation capability index under at least one primary evaluation dimension in one evaluation dimension as the digital transformation capability index under the one evaluation dimension; The processing unit is further used to determine the digital transformation stage to which the object to be evaluated belongs based on the digital transformation capability index under the multiple evaluation dimensions.

9. The digital evaluation device according to claim 8, characterized in that: When the indicator information is quantifiable information, the processing unit is further configured to: Determine the index interval under each secondary evaluation dimension according to the sample information pre-acquired by the acquisition unit, the preset expected value under each secondary evaluation dimension, and the preset indicator threshold under each secondary evaluation dimension; Create a first mapping relationship between the index range and the digital transformation capability index under each secondary evaluation dimension, and generate an evaluation standard including the first mapping relationship; the evaluation standard is used to determine the digital transformation capability index under at least one secondary evaluation dimension.

10. The digital evaluation device according to claim 9, characterized in that: The processing unit is specifically used for: When the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is greater than or equal to the preset indicator threshold, or when the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is less than the preset indicator threshold, the index interval is determined according to the maximum value of the sample information and the minimum value of the sample information; When the preset expected value is greater than or equal to the preset indicator threshold, and the maximum value of the sample information is less than the preset indicator threshold, determining the index interval according to the preset indicator threshold and the minimum value of the sample information; When the preset expected value is less than or equal to the preset indicator threshold, and the minimum value of the sample information is greater than or equal to the preset indicator threshold, the index interval is determined according to the preset indicator threshold and the maximum value of the sample information.

11. The digital evaluation device according to claim 9, characterized in that: The processing unit is specifically used for: According to the first mapping relationship, determine the index interval to which the indicator information under the one secondary evaluation dimension belongs, and determine the digital transformation capability index mapped to the index interval to which the indicator information under the one secondary evaluation dimension belongs as the digital transformation capability index under the one secondary evaluation dimension.

12. The digital evaluation device according to claim 8, characterized in that: When the indicator information is non-quantifiable information, the evaluation criteria include: a second mapping relationship between the indicator characteristics under each secondary evaluation dimension and the digital transformation capability index under each secondary evaluation dimension; The processing unit is specifically used for: According to the second mapping relationship, determine the indicator characteristics corresponding to the indicator information under the one secondary evaluation dimension, and determine the digital transformation capability index mapped by the indicator characteristics corresponding to the indicator information under the one secondary evaluation dimension as the digital transformation capability index under the one secondary evaluation dimension.

13. The digital evaluation device according to claim 8, characterized in that: The preset algorithm satisfies the following formula: in, is the digital transformation capability index under the i-th secondary evaluation dimension in the first-level evaluation dimension; W i is the weight of the i-th secondary evaluation dimension in the one primary evaluation dimension; is the highest index of the digital transformation capability index under the i-th secondary evaluation dimension; P2 is the highest index of the digital transformation capability index under the one first-level evaluation dimension; A2 is the digital transformation capability index under the one first-level evaluation dimension; i is a positive integer; n is the number of secondary evaluation dimensions in the one first-level evaluation dimension; n is a positive integer.

14. The digital evaluation device according to any one of claims 8 to 13, characterized in that: The processing unit is specifically used for: Determining the sum of the digital transformation capability indexes under the multiple evaluation dimensions as the digital transformation capability index of the object to be evaluated; According to the third mapping relationship between the pre-created digital transformation capability index interval and the digital transformation stage, the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs is determined, and the digital transformation stage mapped to the digital transformation capability index interval to which the digital transformation capability index of the object to be evaluated belongs is determined as the digital transformation stage to which the object to be evaluated belongs.

15. A digital evaluation device, characterized in that: It includes a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the digital evaluation device is running, the processor executes the computer execution instructions stored in the memory, so that the digital evaluation device executes the digital evaluation method as described in any one of claims 1-7.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is enabled to execute the digital evaluation method according to any one of claims 1 to 7.

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