Data asset assessment method, device, equipment, medium and product

Abstract

The invention discloses a data asset evaluation method and device, equipment, a medium and a product, and the method comprises the steps: generating a preset field list according to to-be-evaluated data asset information, and enabling the preset field list to comprise a plurality of preset fields; a first page is displayed, the first page comprises evaluation element index setting options and target operation relation setting options, and evaluation element indexes are obtained by selecting and setting a composite index type, an artificial index type or an automatic index type in advance; receiving a first input of an evaluation element index setting option; determining evaluation element index information in response to the first input; receiving a second input of a target operation relation setting option; in response to the second input, constructing an asset assessment model according to the assessment element index information; determining a model parameter value matched with the preset field in the asset evaluation model; and the asset evaluation model is operated to obtain the data asset value, so that the problem of low flexibility caused by model fixation is solved.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and in particular, relates to a data asset evaluation method, device, equipment, medium and product. Background Art

[0002] At present, there are many fixed asset valuation models in related fields, which support various calculation results, such as cost method and income method. However, users have different needs for different calculation methods, which are not limited to the commonly used and prescribed methods in the industry. Flexible and changeable calculation methods cannot be met; in addition, each addition to the existing fixed models requires rewriting the code, retesting and deploying, which takes a long time and is not flexible enough. Summary of the invention

[0003] The embodiments of the present application provide a data asset evaluation method, apparatus, device, medium and product, which are used to at least solve the problem that the fixed model in the related art cannot meet user needs and has low flexibility.

[0004] In a first aspect, an embodiment of the present application provides a data asset evaluation method, including:

[0005] Generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields;

[0006] Displaying a first page, the first page including an evaluation factor indicator setting option and a target operation relationship setting option, the evaluation factor indicator being obtained by selecting a composite indicator type, a manual indicator type, or an automatic indicator type and setting them in advance;

[0007] Receiving a first input of an option for setting an evaluation factor indicator;

[0008] In response to the first input, determining evaluation factor indicator information;

[0009] receiving a second input setting options for the target operation relationship;

[0010] In response to the second input, constructing an asset evaluation model according to the evaluation factor indicator information;

[0011] Determining a model parameter value that matches a preset field in the asset valuation model;

[0012] Run the asset evaluation model to obtain the value of data assets.

[0013] In a second aspect, an embodiment of the present application provides a data asset evaluation device, the device comprising:

[0014] A generating module, used to generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields;

[0015] A display module is used to display a first page, wherein the first page includes an evaluation factor indicator setting option and a target operation relationship setting option, wherein the evaluation factor indicator is obtained by selecting a composite indicator type, a manual indicator type or an automatic indicator type and setting them in advance;

[0016] A first receiving module, used for receiving a first input of the evaluation factor indicator setting option;

[0017] A first determining module, configured to determine evaluation factor indicator information in response to the first input;

[0018] A second receiving module, used for receiving a second input of setting options for the target operation relationship;

[0019] A construction module, configured to construct an asset evaluation model according to the evaluation factor indicator information in response to the second input;

[0020] A second determination module is used to determine a model parameter value matching a preset field in the asset evaluation model;

[0021] The operation module is used to run the asset evaluation model to obtain the value of data assets.

[0022] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the steps of the data asset evaluation method described in any one of the embodiments of the first aspect are implemented.

[0023] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the steps of the data asset evaluation method as described in any one of the embodiments of the first aspect are implemented.

[0024] In a fifth aspect, an embodiment of the present application provides a computer program product, which is stored in a storage medium and is executed by at least one processor to implement the steps of the data asset evaluation method provided in the first aspect of the embodiment of the present application.

[0025] The data asset valuation method, apparatus, equipment, medium and product of the embodiments of the present application allow users to flexibly select or input indicators related to the value of data assets through page operations, thereby realizing configuration of evaluation indicators based on user customization, and solving the problem of single evaluation indicators in related technologies; further, an asset valuation model is constructed according to the evaluation indicators, that is, a customized model is realized, which solves the problem of low flexibility caused by fixed models, and meets the evaluation needs of different users and data assets, thereby improving flexibility and diversity. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0027] Figure 1 It is a flowchart of a data asset evaluation method provided in an embodiment of the present application;

[0028] Figure 2 It is a flowchart of a method for determining composite indicator information provided in an embodiment of the present application;

[0029] Figure 3 It is a structural schematic diagram of a data asset evaluation device provided in an embodiment of the present application;

[0030] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0031] Reference numerals:

[0032] Data asset evaluation device 300, generating module 301, display module 302, first receiving module 303, first determining module 304, second receiving module 305, constructing module 306, second determining module 307, running module 308,

[0033] Electronic device 400 , processor 401 , memory 402 , communication interface 403 , bus 410 . DETAILED DESCRIPTION

[0034] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0035] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0036] At present, there are many fixed asset valuation models in related fields, which support various calculation results, such as cost method and income method. However, users have different needs for different calculation methods, which are not limited to the commonly used and prescribed methods in the industry. Flexible and changeable calculation methods cannot be met; in addition, each addition to the existing fixed models requires rewriting the code, retesting and deploying, which takes a long time and is not flexible enough.

[0037] In order to solve the problems of related technologies, the embodiments of the present application provide a data asset evaluation method, device, equipment, medium and product.

[0038] The data asset evaluation method provided in the embodiment of the present application is described in detail below through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0039] Figure 1 A flow chart of a data asset evaluation method 100 according to an embodiment of the present application is shown.

[0040] like Figure 1 As shown, the data asset evaluation method 100 may specifically include the following steps:

[0041] S101. Generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields;

[0042] S102, displaying a first page, wherein the first page includes an evaluation factor indicator setting option and a target operation relationship setting option, wherein the evaluation factor indicator is obtained by selecting a composite indicator type, a manual indicator type, or an automatic indicator type and setting the same in advance;

[0043] S103, receiving a first input of the evaluation factor indicator setting option;

[0044] S104, in response to the first input, determining evaluation factor indicator information;

[0045] S105, receiving a second input of setting options for the target operation relationship;

[0046] S106, in response to the second input, constructing an asset evaluation model according to the evaluation factor indicator information;

[0047] S107, determining a model parameter value matching a preset field in the asset evaluation model;

[0048] S108: Run the asset evaluation model to obtain the value of data assets.

[0049] As a result, users can flexibly select or input indicators related to the value of data assets through page operations, realizing user-defined configuration of evaluation indicators, and solving the problem of single evaluation indicators in related technologies; further, an asset evaluation model is constructed according to the evaluation indicators, that is, a customized model is realized, which solves the problem of low flexibility caused by fixed models, meets the evaluation needs of different users and data assets, and improves flexibility and diversity.

[0050] The specific implementation methods of the above steps are introduced below.

[0051] In some embodiments, in S101, the preset field list includes relevant fields and values ​​corresponding to the data asset information. Taking the quality inspection report as an example, the quality inspection report has a score and multiple values ​​to describe the asset.

[0052] It should be noted that, before S102, the evaluation factor indicators, namely, the composite indicator information, the automatic indicator information and the manual indicator information, are obtained by selecting the composite indicator type, the manual indicator type or the automatic indicator type and setting them.

[0053] For details, please refer to the specific implementation method of determining the composite indicator information. Figure 2 .

[0054] like Figure 2 As shown, the composite indicator information determination method 200 in the embodiment of the present application may include the following steps:

[0055] S201, displaying a second page, wherein the second page includes a plurality of indicator type identifiers, wherein the indicator types include a composite indicator type, a manual indicator type, and an automatic indicator type;

[0056] S202, receiving a third input of selecting a target indicator type identifier from a plurality of indicator type identifiers;

[0057] S203: when the target indicator type is a composite indicator type, in response to the third input, displaying an automatic indicator setting option, a manual indicator setting option, and an initial operation relationship setting option, wherein the automatic indicator setting option and the manual indicator setting option are both predetermined;

[0058] S204, receiving a fourth input for the automatic indicator setting option and a fifth input for the manual indicator setting option;

[0059] S205, determining automatic indicator information and manual indicator information in response to the fourth input and the fifth input;

[0060] S206, receiving a sixth input of setting options for the initial operation relationship;

[0061] S207: In response to the sixth input, determine composite indicator information according to the automatic indicator information and the manual indicator information.

[0062] In some optional embodiments, a specific implementation method for determining automatic indicator information may include: after receiving a third input for selecting a target indicator type identifier from multiple indicator type identifiers, when the target indicator type is an automatic indicator type, selecting a target preset field from several preset fields in a preset field list; and determining the target preset field as automatic indicator information.

[0063] In some optional embodiments, a specific implementation method for determining artificial indicator information may include: after receiving a third input for selecting a target indicator type identifier from multiple indicator type identifiers, if the target indicator type is a manual indicator type, displaying a target input area in response to the third input; receiving a seventh input to the target input area; and determining the artificial indicator information in response to the seventh input.

[0064] That is to say, indicators are divided into three types: manual evaluation, automatic evaluation, and composite. In the process of creating indicators, for manual evaluation indicators, after creating the indicator, you need to manually fill in the value of the indicator when using the model. For example, if the indicator is set to R1, when the indicator is used later, when forming a formula, it is R1; for automatic indicators, you need to select a field. When using the model later, the corresponding field of the asset, such as the score value in the quality inspection report, is substituted into the indicator. For example, if the automatic evaluation indicator is set to R2, select the quality inspection report score.

[0065] In addition, as an optional embodiment, the preset field corresponding to the model parameter is queried in the preset field list to determine the model parameter value matching the preset field in the asset evaluation model.

[0066] In some optional embodiments, the method further includes: modifying the model parameter values ​​to obtain an updated asset valuation model.

[0067] In addition, the embodiment of the present application provides another data asset evaluation method. Specifically, the other data asset evaluation method may include the following steps: obtaining relevant fields and values ​​of the assets to be evaluated; configuring an asset evaluation model; using the model to evaluate the assets and obtain a result value, which is the value of the asset.

[0068] In specific implementation, the model design and configuration process includes: creating an empty model; creating indicators under the model, first creating the automatic indicator R1 (click to select S from the preset field) and the manual indicator R2; creating a composite indicator X13w under the model (the composite indicator X13w is defined here to mean "purchase cost_intangible assets_cumulative"), and configuring the composite indicator formula, for example, setting the formula to X13w=R1+R2; configuring the model P formula, for example, P=X13w+X11w, where X11w is another custom indicator "purchase price_intangible assets_cumulative".

[0069] In specific implementation, take the evaluation of asset "xxx year xxx" as an example, use the model to evaluate asset "xxx year xxx", jump to another page, this interface is used to fill in the value, specifically, fill in the value of the manual indicator, the value of the automatic indicator is to find the field corresponding to the asset from the preset field, and obtain the value. You can also manually modify the value of the automatic field here. In other words, substitute the calculation from the model formula to get a final evaluation value. For example, model P=X13w+X11w, find the formula of X13w, X13w=R1+R2, find the formula S of R1; find the corresponding field of the asset, substitute S, assume the value is 100, that is, S=100->R1=100, R2 is the manually filled value, assume the value is also 100, R2=100->X13w=R1+R2=100+100=200; assume X11W (another indicator, such as the quality inspection report score automatically brought in for the asset) is 90, then P=X13w+X11w=200+90=290.

[0070] In another embodiment, the model includes several layers, which are composed of formulas, including composite indicators, manual indicators, automatic indicators and operation relationships. Specifically, by receiving user input (for example, clicking on the symbol corresponding to the indicator and the operation relationship on the page), the corresponding indicator is selected and a formula is generated. Among them, the composite indicator is also composed of formulas, including manual indicators, automatic indicators and operation relationships, which is similar to the configuration method of the model formula and can be understood as a sub-formula of the model; the automatic indicator is also composed of a simple formula, which is to select several preset fields from the preset field list. The preset field is a field that exists in the system in advance. Clicking on the selection field on another page can directly obtain the existing value (such as the score value of the quality inspection report). For example, the automatic indicator is set to R1, and the preset quality inspection report score is S. Click S, that is, R1=S.

[0071] In this way, indicators can be added through the page, indicators obtain existing fields from the system, and composite indicators can be obtained by configuring formulas; further, the model can calculate the composite results of multiple indicators by configuring evaluation formulas; thus, when evaluating assets, corresponding data can be filled in according to different indicator types or existing results can be automatically obtained to calculate the final results. Flexible model configuration, custom fields, custom model calculation rules, and free configuration of calculation formulas are achieved, solving problems such as low flexibility caused by fixed models; and the use of custom models makes calculations transparent and results transparent, avoiding problems such as unclear calculations and user distrust.

[0072] It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] Based on the same technical concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a data asset evaluation device 300.

[0074] like Figure 3 As shown, the data asset evaluation device 300 includes:

[0075] A generating module 301 is used to generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields;

[0076] Display module 302, used to display a first page, the first page includes evaluation factor index setting options and target operation relationship setting options, the evaluation factor index is obtained by selecting a composite index type, a manual index type or an automatic index type and setting them in advance;

[0077] A first receiving module 303 is used to receive a first input of the evaluation factor indicator setting option;

[0078] A first determination module 304, configured to determine evaluation factor indicator information in response to the first input;

[0079] A second receiving module 305 is used to receive a second input of setting options for the target operation relationship;

[0080] A construction module 306 is used to construct an asset evaluation model according to the evaluation factor indicator information in response to the second input;

[0081] The second determination module 307 is used to determine the model parameter value matching the preset field in the asset evaluation model;

[0082] The operation module 308 is used to run the asset evaluation model to obtain the data asset value.

[0083] In some embodiments, the second determination module 307 is specifically configured to query the preset field corresponding to the model parameter in the preset field list.

[0084] In some embodiments, the data asset evaluation device 300 further includes an update module ( Figure 3 ), which is used to modify the model parameter values ​​to obtain an updated asset valuation model.

[0085] In some embodiments, the data asset evaluation device 300 further includes a composite indicator information determination module ( Figure 3 Specifically, the composite index information determination module includes the following units:

[0086] A first display unit is used to display a second page, wherein the second page includes a plurality of indicator type identifiers, wherein the indicator types include a composite indicator type, a manual indicator type, and an automatic indicator type;

[0087] A first receiving unit, configured to receive a third input of selecting a target indicator type identifier from a plurality of indicator type identifiers;

[0088] a second display unit, for displaying, in response to the third input, an automatic indicator setting option, a manual indicator setting option, and an initial operation relationship setting option when the target indicator type is a composite indicator type, wherein the automatic indicator setting option and the manual indicator setting option are both predetermined;

[0089] A second receiving unit, configured to receive a fourth input for the automatic indicator setting option and a fifth input for the manual indicator setting option;

[0090] A first determining unit, configured to determine automatic indicator information and manual indicator information in response to the fourth input and the fifth input;

[0091] A third receiving unit, configured to receive a sixth input of setting options for the initial operation relationship;

[0092] The second determining unit is used to determine composite indicator information according to the automatic indicator information and the manual indicator information in response to the sixth input.

[0093] In some embodiments, the data asset evaluation device 300 further includes an automatic indicator information determination module ( Figure 3 (not shown) is used to select a target preset field from several preset fields in a preset field list when the target indicator type is an automatic indicator type; and determine the target preset field as automatic indicator information.

[0094] In some embodiments, the data asset evaluation device 300 further includes an artificial indicator information determination module ( Figure 3 (not shown) is used for displaying a target input area in response to the third input when the target indicator type is a manual indicator type; receiving a seventh input to the target input area; and determining manual indicator information in response to the seventh input.

[0095] It should be noted that, for the convenience of description, the above device is described in various modules according to their functions. Of course, when implementing this application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0096] The device of the above embodiment is used to implement the corresponding data asset evaluation method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0097] Based on the same technical concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides an electronic device.

[0098] Figure 4 A more specific schematic diagram of the hardware structure of an electronic device provided by this embodiment is shown.

[0099] The electronic device 400 may include a processor 401 and a memory 402 storing computer program instructions.

[0100] Specifically, the processor 401 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0101] Memory 402 may include a large capacity memory for data or instructions. By way of example and not limitation, memory 402 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, memory 402 may include a removable or non-removable (or fixed) medium. In appropriate cases, memory 402 may be inside or outside of an integrated gateway disaster recovery device. In a specific embodiment, memory 402 is a non-volatile solid-state memory.

[0102] In certain embodiments, the memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, typically, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to one aspect of the present application.

[0103] The processor 401 implements any one of the data asset evaluation methods in the above embodiments by reading and executing computer program instructions stored in the memory 402 .

[0104] In some examples, the electronic device 400 may further include a communication interface 403 and a bus 410. Figure 4 As shown, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 and communicate with each other.

[0105] The communication interface 403 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0106] Bus 410 includes hardware, software or both, and the components of online data flow billing equipment are coupled to each other. For example, but not limitation, bus 410 may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 410 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0107] Exemplarily, the electronic device 400 may be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA).

[0108] Based on the same technical concept, corresponding to any of the above-mentioned embodiments, the present application also provides a non-transitory computer-readable storage medium. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any of the data asset evaluation methods in the above-mentioned embodiments is implemented. Examples of computer-readable storage media include non-transitory computer-readable storage media, such as portable disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, etc.

[0109] Based on the same technical concept, corresponding to any of the above-mentioned embodiments, the present application also provides a computer program product, which includes computer program instructions. In some embodiments, the computer program instructions can be executed by one or more processors of a computer so that the computer and / or the processor execute the data asset evaluation method. Corresponding to the execution subject corresponding to each step in each embodiment of the data asset evaluation method, the processor that executes the corresponding step can belong to the corresponding execution subject.

[0110] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0111] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0112] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0113] The above reference is according to the method of the embodiment of the present application, the flow chart of the device (system) and the computer program product and / or the block diagram described various aspects of the present application.It should be understood that each square box in the flow chart and / or the block diagram and the combination of each square box in the flow chart and / or the block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the realization of the function / action specified in one or more square boxes of the flow chart and / or the block diagram.Such a processor can be but is not limited to a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit.It can also be understood that each square box in the block diagram and / or the flow chart and the combination of the square boxes in the block diagram and / or the flow chart can also be realized by the dedicated hardware that performs the specified function or action, or can be realized by the combination of dedicated hardware and computer instructions.

[0114] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A data asset evaluation method, characterized in that: include: Generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields; Displaying a first page, the first page including an evaluation factor indicator setting option and a target operation relationship setting option, the evaluation factor indicator being obtained by selecting a composite indicator type, a manual indicator type, or an automatic indicator type and setting them in advance; Receiving a first input of an option for setting an evaluation factor indicator; In response to the first input, determining evaluation factor indicator information; receiving a second input setting options for the target operation relationship; In response to the second input, constructing an asset evaluation model according to the evaluation factor indicator information; Determining a model parameter value that matches a preset field in the asset valuation model; Run the asset evaluation model to obtain the value of data assets.

2. The method according to claim 1, characterized in that Before displaying the first page, the method further includes: Displaying a second page, wherein the second page includes a plurality of indicator type identifiers, wherein the indicator types include a composite indicator type, a manual indicator type, and an automatic indicator type; receiving a third input of selecting a target indicator type identifier from a plurality of indicator type identifiers; In the case where the target indicator type is a composite indicator type, in response to the third input, an automatic indicator setting option, a manual indicator setting option and an initial operation relationship setting option are displayed, and the automatic indicator setting option and the manual indicator setting option are both predetermined; receiving a fourth input for the automatic indicator setting option and a fifth input for the manual indicator setting option; In response to the fourth input and the fifth input, determining automatic indicator information and manual indicator information; receiving a sixth input for setting options for the initial operation relationship; In response to the sixth input, composite indicator information is determined according to the automatic indicator information and the manual indicator information.

3. The method according to claim 2, characterized in that After receiving a third input of selecting a target indicator type identifier from a plurality of indicator type identifiers, the method further includes: In the case where the target indicator type is an automatic indicator type, selecting a target preset field from a plurality of preset fields in a preset field list; The target preset field is determined as automatic indicator information.

4. The method according to claim 2, characterized in that: After receiving a third input of selecting a target indicator type identifier from a plurality of indicator type identifiers, the method further includes: In a case where the target indicator type is a manual indicator type, in response to the third input, displaying a target input area; receiving a seventh input to the target input area; In response to the seventh input, manual indicator information is determined.

5. The method according to claim 1, characterized in that Determining a model parameter value that matches a preset field in the asset evaluation model includes: The preset field list is searched for a preset field corresponding to the model parameter.

6. The method according to claim 1, characterized in that The method further comprises: The model parameter values ​​are modified to obtain an updated asset valuation model.

7. A data asset evaluation device, characterized in that: The device comprises: A generating module, used to generate a preset field list according to the data asset information to be evaluated, wherein the preset field list includes a plurality of preset fields; A display module is used to display a first page, wherein the first page includes an evaluation factor indicator setting option and a target operation relationship setting option, wherein the evaluation factor indicator is obtained by selecting a composite indicator type, a manual indicator type or an automatic indicator type and setting them in advance; A first receiving module, used for receiving a first input of the evaluation factor indicator setting option; A first determining module, configured to determine evaluation factor indicator information in response to the first input; A second receiving module, used for receiving a second input of setting options for the target operation relationship; A construction module, configured to construct an asset evaluation model according to the evaluation factor indicator information in response to the second input; A second determination module is used to determine a model parameter value matching a preset field in the asset evaluation model; The operation module is used to run the asset evaluation model to obtain the value of data assets.

8. An electronic device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; when the processor calls the computer program instructions, the data asset evaluation method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are called by the processor, the data asset evaluation method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the data asset evaluation method as described in any one of claims 1 to 6.

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