Data application scene evaluation method and device and storage medium

Abstract

The invention discloses a data application scene evaluation method and device and a storage medium, relates to the technical field of data application, is used for improving the accuracy of data application scene evaluation, and comprises the following steps: determining the business value of a to-be-evaluated data application scene according to first data; determining data utilization information of the to-be-evaluated data application scene according to the second data; and based on the business value of the to-be-evaluated data application scene and the data utilization information of the to-be-evaluated data application scene, determining an evaluation result of the market application value of the to-be-evaluated data application scene. The method and the device are applied to a data application scene evaluation process.

Description

Technical Field

[0001] This application relates to the technical field of data applications. Specifically, it relates to a method, device, and storage medium for evaluating data application scenarios. Background Art

[0002] With the rapid development of the digital economy, data elements have become a key factor in promoting the innovation of enterprise operation models and the improvement of efficiency. Data elements play a crucial role in the transformation and upgrading, innovation, and development of enterprises. Through data application scenarios as the direct entry point for data elements to empower enterprise operations, relevant business problems can be solved. For example, by obtaining communication data, customers with the intention of leaving the network can be predicted in a timely manner, the needs of users can be understood and solved, and the purpose of retaining users can be achieved, thus solving the business problem of user churn.

[0003] In related technologies, a single - dimension scoring method is often used to evaluate data application scenarios, resulting in inaccurate evaluation of data application scenarios. Therefore, how to improve the accuracy of evaluating data application scenarios is still a technical problem to be solved. Summary of the Invention

[0004] In view of this, this application proposes a method, device, and storage medium for evaluating data application scenarios, aiming to improve the accuracy of evaluating data application scenarios.

[0005] In a first aspect, a method for evaluating a data application scenario proposed by this application includes: determining the business value of the data application scenario to be evaluated according to first data; the first data includes at least one of the following: operation efficiency, risk control; the business value is used to represent the operation effect of the business; determining the data utilization information of the data application scenario to be evaluated according to second data; the second data includes at least one of the following: scenario attention, data satisfaction; the data utilization information is used to represent the usage of data; based on the business value of the data application scenario to be evaluated and the data utilization information of the data application scenario to be evaluated, determining the evaluation result of the market application value of the data application scenario to be evaluated.

[0006] Optionally, obtaining third data; the third data includes at least one of the following: financial value, customer value; determining the business value of the data application scenario to be evaluated according to the first data and the third data.

[0007] Optionally, determine the revenue enhancement indicator for the data application scenario to be evaluated based on the ratio of the revenue enhancement value of the data application scenario to be evaluated to the maximum revenue enhancement value in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; determine the cost savings indicator for the data application scenario to be evaluated based on the ratio of the cost reduction value of the data application scenario to be evaluated to the maximum cost reduction value in the set of data application scenarios; determine the return on investment indicator for the data application scenario to be evaluated based on the return on investment of the data application scenario to be evaluated; determine the financial value based on the revenue enhancement indicator, the cost savings indicator, and the return on investment indicator.

[0008] Optionally, determine the user expansion volume indicator for the data application scenario to be evaluated based on the ratio of the user expansion volume of the data application scenario to be evaluated to the maximum user expansion volume in the set of data application scenarios; the user expansion volume includes the increase in the number of networked users and the retention of off-net users; the set of data application scenarios includes the data application scenario to be evaluated; determine the network optimization realization perception improvement indicator for the data application scenario to be evaluated based on the improvement value of the excellent rate of network perception of the data application scenario to be evaluated; determine the service evaluation improvement indicator for the data application scenario to be evaluated based on the improvement value of the service evaluation satisfaction rate of the data application scenario to be evaluated; determine the personalized service penetration indicator for the data application scenario to be evaluated based on the improvement value of the penetration rate of the personalized package in the preset group of the data application scenario to be evaluated; determine the overall service coverage indicator for the data application scenario to be evaluated based on the improvement value of the overall service coverage rate of the data application scenario to be evaluated; determine the customer value based on the user expansion volume indicator, the network optimization realization perception improvement indicator, the service evaluation improvement indicator, the personalized service penetration indicator, and the overall service coverage indicator.

[0009] Optionally, determine the production resource utilization rate improvement indicator for the data application scenario to be evaluated based on the improvement value of the production resource utilization rate of the data application scenario to be evaluated; determine the management process optimization indicator for the data application scenario to be evaluated based on the ratio of the shortened process duration of the data application scenario to be evaluated to the maximum shortened process duration in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; determine the operational efficiency based on the production resource utilization rate improvement indicator and the management process optimization indicator.

[0010] Optionally, determine the risk warning accuracy indicator for the data application scenario to be evaluated based on the improvement value of the prediction accuracy of business risks of the data application scenario to be evaluated; determine the compliance loss reduction indicator for the data application scenario to be evaluated based on the ratio of the reduced fine loss value of the data application scenario to be evaluated to the maximum reduced fine loss value in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; determine the risk control based on the risk warning accuracy indicator and the compliance loss reduction indicator.

[0011] Optionally, determine the scenario usage frequency index of the data application scenario to be evaluated according to the ratio of the monthly usage frequency of the data application scenario to be evaluated to the maximum monthly usage frequency in the data application scenario set; determine the coverage index of the scenario to users of the data application scenario to be evaluated according to the ratio of the number of users of the data application scenario to be evaluated to the total number of users related to the business; determine the single-call data volume index of the data application scenario to be evaluated according to the ratio of the number of data entries called once in the data application scenario to be evaluated to the maximum number of data entries called once in the data application scenario set; determine the scenario attention degree according to the scenario usage frequency index, the coverage index of the scenario to users, and the single-call data volume index.

[0012] Optionally, determine the user satisfaction score index of the data application scenario to be evaluated according to the ratio of the average user satisfaction score of the data application scenario to be evaluated to the maximum average user satisfaction score in the data application scenario set; determine the complaint evaluation index of the data application scenario to be evaluated according to the ratio of the number of complaints of the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated; determine the manual correction evaluation index of the data application scenario to be evaluated according to the ratio of the number of times of manually correcting data in the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated; determine the data satisfaction according to the user satisfaction score index, the complaint evaluation index, and the manual correction evaluation index.

[0013] In a second aspect, an evaluation device for a data application scenario proposed by the present application includes: a processing unit; the processing unit is configured to determine the business value of the data application scenario to be evaluated according to first data; the first data includes at least one of the following: operation efficiency, risk control; the business value is used to represent the operation effect of the business; the processing unit is configured to determine the data utilization information of the data application scenario to be evaluated according to second data; the second data includes at least one of the following: scenario attention degree, data satisfaction; the data utilization information is used to represent the usage situation of the data; the processing unit is configured to determine the evaluation result of the market application value of the data application scenario to be evaluated based on the business value of the data application scenario to be evaluated and the data utilization information of the data application scenario to be evaluated.

[0014] Optionally, the evaluation device for the data application scenario further includes an acquisition unit, and the acquisition unit is configured to acquire third data; the third data includes at least one of the following: financial value, customer value; the processing unit is further configured to determine the business value of the data application scenario to be evaluated according to the first data and the third data.

[0015] Optionally, the processing unit is further configured to determine the revenue enhancement metric for the data application scenario to be evaluated according to the ratio of the revenue enhancement value of the data application scenario to be evaluated to the maximum revenue enhancement value in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; the processing unit is further configured to determine the cost savings metric for the data application scenario to be evaluated according to the ratio of the cost reduction value of the data application scenario to be evaluated to the maximum cost reduction value in the set of data application scenarios; the processing unit is further configured to determine the return on investment metric for the data application scenario to be evaluated according to the return on investment of the data application scenario to be evaluated; the processing unit is further configured to determine the financial value according to the revenue enhancement metric, the cost savings metric, and the return on investment metric.

[0016] Optionally, the processing unit is further configured to: determine the user expansion metric for the data application scenario to be evaluated according to the ratio of the user expansion volume of the data application scenario to be evaluated to the maximum user expansion volume in the set of data application scenarios; the user expansion volume includes the increase in the number of networked users and the retention of churned users; the set of data application scenarios includes the data application scenario to be evaluated; determine the network optimization perception enhancement metric for the data application scenario to be evaluated according to the improvement value of the excellent network perception rate of the data application scenario to be evaluated; determine the service evaluation enhancement metric for the data application scenario to be evaluated according to the improvement value of the service evaluation satisfaction rate of the data application scenario to be evaluated; determine the personalized service penetration metric for the data application scenario to be evaluated according to the improvement value of the penetration rate of the personalized package in the preset group of the data application scenario to be evaluated; determine the overall service coverage metric for the data application scenario to be evaluated according to the improvement value of the overall service coverage rate of the data application scenario to be evaluated; determine the customer value according to the user expansion metric, the network optimization perception enhancement metric, the service evaluation enhancement metric, the personalized service penetration metric, and the overall service coverage metric.

[0017] Optionally, the processing unit is further configured to: determine the production resource utilization rate enhancement metric for the data application scenario to be evaluated according to the improvement value of the production resource utilization rate of the data application scenario to be evaluated; determine the management process optimization metric for the data application scenario to be evaluated according to the ratio of the process shortening duration of the data application scenario to be evaluated to the maximum process shortening duration in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; determine the operational efficiency according to the production resource utilization rate enhancement metric and the management process optimization metric.

[0018] Optionally, the processing unit is further configured to: determine a risk warning accuracy index for the data application scenario to be evaluated according to the improvement value of the business risk prediction accuracy of the data application scenario to be evaluated; determine a compliance loss reduction index for the data application scenario to be evaluated according to the ratio of the reduction value of the fine loss of the data application scenario to be evaluated to the maximum reduction value of the fine loss in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; determine risk control according to the risk warning accuracy index and the compliance loss reduction index.

[0019] Optionally, the processing unit is further configured to: determine a scenario usage frequency index for the data application scenario to be evaluated according to the ratio of the monthly usage frequency of the data application scenario to be evaluated to the maximum monthly usage frequency in the set of data application scenarios; determine a scenario coverage index for the users of the data application scenario to be evaluated according to the ratio of the number of users of the data application scenario to be evaluated to the total number of business-related users; determine a single-call data volume index for the data application scenario to be evaluated according to the ratio of the number of data entries called each time in the data application scenario to be evaluated to the maximum number of data entries called each time in the set of data application scenarios; determine scenario attention according to the scenario usage frequency index, the scenario coverage index for the users, and the single-call data volume index.

[0020] Optionally, the processing unit is further configured to: determine a user satisfaction score index for the data application scenario to be evaluated according to the ratio of the average value of the user satisfaction scores of the data application scenario to be evaluated to the maximum average value of the user satisfaction scores in the set of data application scenarios; determine a complaint evaluation index for the data application scenario to be evaluated according to the ratio of the number of complaints of the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated; determine an artificial correction evaluation index for the data application scenario to be evaluated according to the ratio of the number of times of manually corrected data of the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated; determine data satisfaction according to the user satisfaction score index, the complaint evaluation index, and the artificial correction evaluation index.

[0021] In a third aspect, an evaluation device for a data application scenario is provided, including 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 evaluation device for the data application scenario runs, the processor executes the computer execution instructions stored in the memory so that the evaluation device for the data application scenario executes the evaluation method for the data application scenario in the second aspect.

[0022] The evaluation device for this data application scenario can be a network device or a part of the network device, such as a chip system in the network device. The chip system is used to support the network device in implementing the functions involved in the first aspect and any of its possible implementation manners. For example, it obtains, determines, and sends the data and / or information involved in the evaluation method of the above data application scenario. The chip system includes chips and may also include other discrete devices or circuit structures.

[0023] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium includes computer-executable instructions. When the computer-executable instructions run on a computer, the computer is caused to execute the evaluation method of the data application scenario in the second aspect.

[0024] In a fifth aspect, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions run on the evaluation device for the data application scenario, the evaluation device for the data application scenario is caused to execute the evaluation method of the data application scenario in the second aspect as described above.

[0025] It should be noted that the above computer instructions can be stored in whole or in part on the computer-readable storage medium. Among them, the computer-readable storage medium can be packaged together with the processor of the evaluation device for the data application scenario or separately packaged from the processor of the evaluation device for the data application scenario. The embodiments of the present application do not make any limitations in this regard.

[0026] The descriptions of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in this application can refer to the detailed description of the first aspect.

[0027] In the embodiments of the present application, the name of the above evaluation device for the data application scenario does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear under other names. For example, the receiving unit may also be called a receiving module, a receiver, etc. As long as the functions of each device or functional module are similar to those of the present application and belong to the scope of the present application and its equivalent technologies.

[0028] In the embodiments of the present application, considering the impact of operational efficiency and risk control on the business value of the data application scenario, the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated according to operational efficiency and / or risk control. Considering the impact of subjective feelings and satisfaction with data on the data utilization information of the data application scenario, the data utilization information of the data application scenario to be evaluated is determined according to scenario attention and / or data satisfaction. In this way, the evaluation device for the data application scenario can generate an evaluation result of the market application value of the data application scenario to be evaluated based on multiple dimensions of business value and data utilization information, improving the accuracy of the evaluation of the data application scenario. Description of the Drawings

[0029] Upon reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of the present application. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0030] Figure 1 Schematic diagram of the architecture of an evaluation system for a data application scenario provided by an embodiment of the present application;

[0031] Figure 2 Schematic diagram of the structure of an evaluation device for a data application scenario provided by an embodiment of the present application;

[0032] Figure 3 Schematic diagram of the flowchart of an evaluation method for a data application scenario provided by an embodiment of the present application;

[0033] Figure 4 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0034] Figure 5 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0035] Figure 6 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0036] Figure 7 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0037] Figure 8 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0038] Figure 9 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0039] Figure 10 Schematic diagram of the flowchart of another evaluation method for a data application scenario provided by an embodiment of the present application;

[0040] Figure 11 Schematic diagram of the structure of another evaluation device for a data application scenario provided by an embodiment of the present application. Detailed implementation manners

[0041] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0042] In this article, the character " / " generally indicates an "or" relationship between the associated objects before and after. For example, A / B can be understood as A or B.

[0043] The terms "first" and "second" in the specification of the present application are used to distinguish different objects, rather than to describe a specific order of the objects. For example, the first edge service node and the second edge service node are used to distinguish different edge service nodes, rather than to describe the characteristic order of the edge service nodes.

[0044] In addition, the terms "include" and "have" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes other steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0045] In addition, in the embodiments of the present application, words such as "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplarily" or "for example" in the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplarily" or "for example" is intended to present concepts in a specific manner.

[0046] With the rapid development of the digital economy, data elements have become the key factors driving the innovation of enterprise operation models and the improvement of efficiency. Data elements play a crucial role in the transformation and upgrading and innovative development of enterprises. By using data application scenarios as the direct entry point for data elements to empower enterprise operations, relevant business problems can be solved. For example, by obtaining communication data, customers with the intention of leaving the network can be predicted in a timely manner, the needs of users can be understood and solved, and the purpose of retaining users can be achieved, thus solving the business problem of user loss.

[0047] In the related art, a single-dimensional scoring method is often used to evaluate data application scenarios, resulting in inaccurate evaluation of data application scenarios. Therefore, how to improve the accuracy of evaluating data application scenarios is still a technical problem to be solved.

[0048] In the embodiments of the present application, considering the impact of operation efficiency and risk control on the business value of data application scenarios, the evaluation device for data application scenarios determines the business value of the data application scenarios to be evaluated according to operation efficiency and / or risk control. Considering the impact of subjective feelings and satisfaction with data on the data utilization information of data application scenarios, the data utilization information of the data application scenarios to be evaluated is determined according to scenario attention and / or data satisfaction. In this way, the evaluation device for data application scenarios can generate an evaluation result of the market application value of the data application scenarios to be evaluated based on multiple dimensions of business value and data utilization information, improving the accuracy of data application scenario evaluation.

[0049] Exemplarily, as Figure 1 shown, Figure 1 FIG. is a schematic structural diagram of an evaluation system for data application scenarios provided by an embodiment of the present application. The evaluation system for data application scenarios includes: a data collection device 101 and an evaluation device 102 for data application scenarios.

[0050] The evaluation device 102 for data application scenarios is configured to determine the business value of the data application scenarios to be evaluated according to first data; the first data includes at least one of the following: operation efficiency, risk control; the business value is used to characterize the operation effect of the business; determine the data utilization information of the data application scenarios to be evaluated according to second data; the second data includes at least one of the following: scenario attention, data satisfaction; the data utilization information is used to characterize the usage situation of the data; based on the business value of the data application scenarios to be evaluated and the data utilization information of the data application scenarios to be evaluated, determine an evaluation result of the market application value of the data application scenarios to be evaluated.

[0051] The data collection device 101 can obtain first data, second data, and third data.

[0052] Optionally, the physical device of the data collection device 101 is a terminal, and the physical device of the evaluation device 102 for data application scenarios is a server.

[0053] Optionally, the above terminal may be a device that provides voice and / or data connectivity to users, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem. The wireless terminal can communicate with one or more core networks via a radio access network (RAN). The wireless terminal can be a mobile terminal, such as a mobile phone (or a "cellular" phone) and a computer with a mobile terminal, or a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device, which exchange languages and / or data with the radio access network. For example, mobile phones, tablet computers, laptop computers, netbooks, personal digital assistants (PDAs).

[0054] Optionally, the above server may be one server in a server cluster (composed of multiple servers), or a chip in the server, or a system on a chip in the server, or may be implemented by a virtual machine (VM) deployed on a physical machine. The embodiments of the present application do not make any limitations in this regard.

[0055] The embodiments of the present application provide an evaluation device for a data application scenario, which is used to execute the evaluation system for the data application scenario provided by the embodiments of the present application. Figure 2 It is a schematic structural diagram of an evaluation device for a data application scenario provided by the embodiments of the present application. As Figure 2 shown, the evaluation device 200 for the data application scenario includes at least one processor 201, a communication line 202, and at least one communication interface 204, and may further include a memory 203. Among them, the processor 201, the memory 203, and the communication interface 204 can be connected through the communication line 202.

[0056] The processor 201 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. For example: one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs).

[0057] The communication line 202 may include a path for transmitting information between the above components.

[0058] The communication interface 204 is used to communicate with other devices or communication networks, and any transceiver-like device can be used, such as Ethernet, radio access network (RAN), WLAN, etc.

[0059] The memory 203 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to include or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0060] In a possible design, the memory 203 can exist independently of the processor 201, that is, the memory 203 can be a memory external to the processor 201. At this time, the memory 203 can be connected to the processor 201 through the communication line 202, used to store execution instructions or application program codes, and controlled by the processor 201 to execute, so as to implement the evaluation method of the data application scenario provided in the following embodiments of the present application. In another possible design, the memory 203 can also be integrated with the processor 201, that is, the memory 203 can be an internal memory of the processor 201. For example, this memory 203 is a cache and can be used to temporarily store some data and instruction information, etc.

[0061] As an implementable manner, the processor 201 can include one or more CPUs, such as Figure 2 CPU0 and CPU1 in Figure 2 . As another implementable manner, the evaluation device 200 for the data application scenario can include multiple processors, such as

[0062] the processor 201 and the processor 207 in Figure 3 . As yet another implementable manner, the evaluation device 200 for the data application scenario can further include an output device 205 and an input device 206. Figure 3 Shown as follows, the evaluation method of the data application scenario includes S301 - S303.

[0063] S301. The evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated according to the first data.

[0064] Among them, the first data includes at least one of the following: operation efficiency, risk control; the business value is used to characterize the operation effect of the business.

[0065] In a possible implementation manner, the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated according to the operation efficiency, the weight corresponding to the operation efficiency, the risk control, and the weight corresponding to the risk control.

[0066] Optionally, the weight corresponding to the operation efficiency is less than the weight corresponding to the risk control.

[0067] S302. The evaluation device for the data application scenario determines the data utilization information of the data application scenario to be evaluated according to the second data.

[0068] Among them, the second data includes at least one of the following: scenario attention degree, data satisfaction degree; the data utilization information is used to characterize the usage situation of the data.

[0069] In a possible implementation manner, the evaluation device for the data application scenario determines the data utilization information of the data application scenario to be evaluated according to the scenario attention degree, the weight corresponding to the scenario attention degree, the data satisfaction degree, and the weight corresponding to the data satisfaction degree.

[0070] Optionally, the weight corresponding to the scenario attention degree is greater than or equal to the weight corresponding to the data satisfaction degree.

[0071] S303. The evaluation device for the data application scenario determines the evaluation result of the market application value of the data application scenario to be evaluated based on the business value of the data application scenario to be evaluated and the data utilization information of the data application scenario to be evaluated.

[0072] Optionally, the evaluation result of the market application value of the data application scenario to be evaluated includes the business value rate and the data utilization rate.

[0073] It should be noted that the evaluation device for the data application scenario divides the business value rate into three grades: A, B, and C. The A grade is greater than or equal to the first threshold, the B grade is less than the first threshold and greater than the second threshold, and the C grade is less than or equal to the second threshold. The evaluation device for the data application scenario divides the data utilization rate into three grades: a, b, and c. The a grade is greater than or equal to the third threshold, the b grade is less than the third threshold and greater than the fourth threshold, and the c grade is less than or equal to the fourth threshold.

[0074] Optionally, the first threshold is greater than 0.4 and less than 0.5, the second threshold is greater than 0.15 and less than 0.2, the third threshold is greater than 0.4 and less than 0.5, and the fourth threshold is greater than 0.1 and less than 0.2.

[0075] Exemplarily, as shown in Table 1, the evaluation results of the market application value of the data application scenario to be evaluated include nine categories: Aa, Ba, Ca, Ab, Bb, Cb, Ac, Bc, and Cc. The business value rate of the Aa category is greater than or equal to the first threshold, and the data utilization rate of the Aa category is greater than or equal to the third threshold; the business value rate of the Ba category is less than the first threshold and greater than the second threshold, and the data utilization rate of the Ba category is greater than or equal to the third threshold; the business value rate of the Ca category is less than or equal to the second threshold, and the data utilization rate of the Ca category is greater than or equal to the third threshold; the business value rate of the Ab category is greater than or equal to the first threshold, and the data utilization rate of the Ab category is less than the third threshold and greater than the fourth threshold; the business value rate of the Bb category is less than the first threshold and greater than the second threshold, and the data utilization rate of the Bb category is less than the third threshold and greater than the fourth threshold; the business value rate of the Cb category is less than or equal to the second threshold, and the data utilization rate of the Cb category is less than the third threshold and greater than the fourth threshold; the business value rate of the Ac category is greater than or equal to the first threshold, and the data utilization rate of the Ac category is less than or equal to the fourth threshold; the business value rate of the Bc category is less than the first threshold and greater than the second threshold, and the data utilization rate of the Bc category is less than or equal to the fourth threshold; the business value rate of the Cc category is less than or equal to the second threshold, and the data utilization rate of the Cc category is less than or equal to the fourth threshold.

[0076] Table 1. Market Application Value Categories of Data Application Scenarios

[0077]

[0078]

[0079] Optionally, after the evaluation device for the data application scenario determines the evaluation results of the market application value of the data application scenario to be evaluated, improvement measures are determined based on the evaluation results of the market application value of the data application scenario to be evaluated to improve the usage value of the data application scenario to be evaluated.

[0080] Exemplarily, in the case where the evaluation result of the market application value of the data application scenario to be evaluated is of class Aa or Ab, the data capabilities formed by the data application scenario to be evaluated can be encapsulated as standardized capabilities and provided on the enterprise intensive capabilities platform, and maximized promotion can be achieved through publicity to keep the data application efficiency at a high level. In the case where the evaluation result of the market application value of the data application scenario to be evaluated is of class Ac, focus on publicizing and promoting the data application scenario to be evaluated, mobilize the business department to strengthen promotion and use, and improve the data application efficiency. In the case where the evaluation result of the market application value of the data application scenario to be evaluated is of class Ba or Ca, optimize the data modeling scheme, regularly monitor the changes in the business value of the data application scenario to be evaluated, organize value improvement seminars, and further release the data value potential. In the case where the evaluation result of the market application value of the data application scenario to be evaluated is of class Bb, strengthen the publicity and promotion of the data application scenario to be evaluated and value improvement research, and observe the changes in the next evaluation indicators after improvement. In the case where the evaluation result of the market application value of the data application scenario to be evaluated is of class Bc, Cb, or Cc, invest resources cautiously, and jointly demonstrate the necessity of such data applications by the data development department and the business department.

[0081] The above solution brings at least the following beneficial effects: In the embodiments of the present application, considering the impact of operation efficiency and risk control on the business value of the data application scenario, the evaluation device of the data application scenario determines the business value of the data application scenario to be evaluated according to operation efficiency and / or risk control. Considering the impact of subjective feelings and satisfaction with data on the data utilization information of the data application scenario, the data utilization information of the data application scenario to be evaluated is determined according to scenario attention and / or data satisfaction. In this way, the evaluation device of the data application scenario can generate the evaluation result of the market application value of the data application scenario to be evaluated based on multiple dimensions of business value and data utilization information, improving the accuracy of the data application scenario evaluation.

[0082] In a possible implementation, in combination with Figure 3 , as Figure 4 shown, the process in which the evaluation device of the data application scenario determines the business value of the data application scenario to be evaluated according to the first data in S301 can be specifically implemented through the following S401 - S402.

[0083] S401. The evaluation device of the data application scenario obtains the third data.

[0084] Among them, the third data includes at least one of the following: financial value, customer value.

[0085] In a possible implementation, the evaluation device of the data application scenario obtains user communication data from the server and determines the third data based on the user communication data.

[0086] S402. The evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated based on the first data and the third data.

[0087] In a possible implementation, the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated based on the operation efficiency, the weight corresponding to the operation efficiency, the risk control, the weight corresponding to the risk control, the financial value, the weight corresponding to the financial value, the customer value, and the weight corresponding to the customer value.

[0088] Optionally, the weight corresponding to the operation efficiency is 0.2, the weight corresponding to the risk control is 0.25, the weight corresponding to the financial value is 0.3, and the weight corresponding to the customer value is 0.25.

[0089] The above solution has at least the following beneficial effects: In the embodiment of the present application, the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated based on the operation efficiency, the weight corresponding to the operation efficiency, the risk control, the weight corresponding to the risk control, the financial value, the weight corresponding to the financial value, the customer value, and the weight corresponding to the customer value. In this way, the business value of the data application scenario to be evaluated can be evaluated from multiple aspects, and the accuracy of evaluating the business value of the data application scenario to be evaluated can be improved.

[0090] In a possible implementation, in combination with Figure 4 , as Figure 5 shown, when the third data includes the financial value. The process of the evaluation device for the data application scenario obtaining the third data in S401 can be specifically implemented through the following S501 - S504.

[0091] S501. The evaluation device for the data application scenario determines the revenue improvement index of the data application scenario to be evaluated according to the ratio of the revenue improvement value of the data application scenario to be evaluated to the maximum revenue improvement value in the data application scenario set.

[0092] Among them, the data application scenario set includes the data application scenario to be evaluated.

[0093] Optionally, the evaluation device for the data application scenario obtains the revenue improvement value of each data application scenario in the data application scenario set.

[0094] It should be noted that the operator can start multiple different data application scenarios to form a data application scenario set to improve the work efficiency of the operator.

[0095] Optionally, the data application scenario set includes: the data application scenario for predicting customers with intention to leave the network, the data application scenario for network quality assessment, the data application scenario for package recommendation, and the data application scenario for service quality assessment.

[0096] S502. The evaluation device for data application scenarios determines the cost saving index of the data application scenario to be evaluated according to the ratio of the cost reduction value of the data application scenario to be evaluated to the maximum cost reduction value in the set of data application scenarios.

[0097] Exemplarily, the evaluation device for data application scenarios determines the cost reduction value of the data application scenario to be evaluated based on the difference between the cost of determining off - grid potential customers through telephone return visits and the cost of determining off - grid potential customers through the off - grid prediction data application scenario.

[0098] S503. The evaluation device for data application scenarios determines the investment return index of the data application scenario to be evaluated according to the return on investment of the data application scenario to be evaluated.

[0099] In a possible implementation, the evaluation device for data application scenarios obtains the return on investment of the data application scenario to be evaluated from the operator server.

[0100] It should be noted that the return on investment is the core indicator for measuring investment returns and is used to evaluate the profitability of investment projects. It intuitively reflects the investment efficiency by comparing investment returns with costs.

[0101] S504. The evaluation device for data application scenarios determines the financial value according to the revenue increase index, the cost saving index, and the investment return index.

[0102] In a possible implementation, the financial value is determined according to the revenue increase index, the weight of the revenue increase index, the cost saving index, the weight of the cost saving index, the investment return index, and the weight of the investment return index.

[0103] Optionally, the weight of the revenue increase index is 0.4, the weight of the cost saving index is 0.3, and the weight of the investment return index is 0.3.

[0104] The above - mentioned solution has at least the following beneficial effects: In the embodiments of the present application, during the process of determining the financial value, the evaluation device for data application scenarios fully considers the revenue increase index, the cost saving index, and the investment return index, so that the financial value can be analyzed more comprehensively.

[0105] In a possible implementation, in combination with Figure 4 , such as Figure 6 shown, when the third data includes customer value, the process of the evaluation device for data application scenarios obtaining the third data in S401 can be specifically implemented through the following S601 - S606.

[0106] S601. The data application scenario evaluation device determines a user expansion amount index of the data application scenario to be evaluated according to a ratio of the user expansion amount of the data application scenario to be evaluated to the maximum user expansion amount in the data application scenario set.

[0107] Among them, user expansion includes the increase in users joining the network and the retention of users leaving the network; the data application scenario set includes the data application scenarios to be evaluated.

[0108] It is understandable that the data application scenario evaluation device instructs the operator to start the data application scenario to be evaluated within a preset time period, and then determines the number of new users joining the operator's network and the number of retained users with the intention of leaving the network within the preset time period.

[0109] S602. The data application scenario evaluation device determines a network optimization realization perception improvement index of the data application scenario to be evaluated according to the network perception excellence rate improvement value of the data application scenario to be evaluated.

[0110] It should be explained that the network perceived excellence rate is a key indicator to measure user satisfaction with network service quality, reflecting the matching degree between network performance and user experience.

[0111] S603 : The data application scenario evaluation device determines a service evaluation improvement index of the data application scenario to be evaluated according to the service evaluation satisfaction rate improvement value of the data application scenario to be evaluated.

[0112] In one possible implementation, the evaluation device of the data application scenario obtains a first service evaluation satisfaction rate improvement value of the operator staff before and after the use of the data application scenario to be evaluated, and obtains a second service evaluation satisfaction rate improvement value of the communication service user before and after the use of the data application scenario to be evaluated, and determines the service evaluation improvement index of the data application scenario to be evaluated based on the first service evaluation satisfaction rate improvement value and the second service evaluation satisfaction rate improvement value.

[0113] S604. The data application scenario evaluation device determines a personalized service penetration index of the data application scenario to be evaluated according to the personalized package penetration rate improvement value of the data application scenario to be evaluated in a preset group.

[0114] In one possible implementation, a data application scenario evaluation device obtains a first penetration rate of a carrier's personalized package within a preset group before the data application scenario to be evaluated is used; and obtains a second penetration rate of the carrier's personalized package within the preset group after the data application scenario to be evaluated is used. Based on the difference between the second penetration rate and the first penetration rate, the data application scenario evaluation device determines an improvement in the personalized package penetration rate within the preset group for the data application scenario to be evaluated, thereby determining a personalized service penetration index for the data application scenario to be evaluated.

[0115] S605. The evaluation device for the data application scenario determines the overall service coverage metric of the data application scenario to be evaluated according to the increase value of the overall service coverage rate of the data application scenario to be evaluated.

[0116] In a possible implementation, the evaluation device for the data application scenario determines the overall service coverage rate according to the ratio of the population covered in the area to the total population covered in the area. The evaluation device for the data application scenario obtains the difference between the overall service coverage rates before and after using the data application scenario to be evaluated, and determines the overall service coverage metric of the data application scenario to be evaluated.

[0117] S606. The evaluation device for the data application scenario determines the customer value according to the user expansion volume metric, the perceived improvement metric for network optimization implementation, the service evaluation improvement metric, the personalized service penetration metric, and the overall service coverage metric.

[0118] In a possible implementation, the evaluation device for the data application scenario determines the customer value according to the user expansion volume metric, the weight of the user expansion volume metric, the perceived improvement metric for network optimization implementation, the weight of the perceived improvement metric for network optimization implementation, the service evaluation improvement metric, the weight of the service evaluation improvement metric, the personalized service penetration metric, the weight of the personalized service penetration metric, the overall service coverage metric, and the weight of the overall service coverage metric.

[0119] Optionally, the weight of the user expansion volume metric is 0.25, the weight of the perceived improvement metric for network optimization implementation is 0.15, the weight of the service evaluation improvement metric is 0.15, the weight of the personalized service penetration metric is 0.2, and the weight of the overall service coverage metric is 0.25.

[0120] The above solution has at least the following beneficial effects: In the embodiment of the present application, since the user expansion volume metric, the perceived improvement metric for network optimization implementation, the service evaluation improvement metric, the personalized service penetration metric, and the overall service coverage metric are important parameters for measuring customer value. Therefore, the evaluation device for the data application scenario of the present application can accurately determine the customer value according to the user expansion volume metric, the weight of the user expansion volume metric, the perceived improvement metric for network optimization implementation, the weight of the perceived improvement metric for network optimization implementation, the service evaluation improvement metric, the weight of the service evaluation improvement metric, the personalized service penetration metric, the weight of the personalized service penetration metric, the overall service coverage metric, and the weight of the overall service coverage metric.

[0121] In a possible implementation, in combination with Figure 3 , such as Figure 7As shown, before the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated based on the first data in S301, the evaluation device for the data application scenario determines the operation efficiency. The process by which the evaluation device for the data application scenario determines the operation efficiency can be specifically implemented through the following S701 - S703.

[0122] S701. The evaluation device for the data application scenario determines the production resource utilization rate improvement index for the data application scenario to be evaluated according to the production resource utilization rate improvement value of the data application scenario to be evaluated.

[0123] In a possible implementation, the evaluation device for the data application scenario obtains the production resource utilization rate improvement value of the data application scenario to be evaluated from the operator server.

[0124] S702. The evaluation device for the data application scenario determines the management process optimization index for the data application scenario to be evaluated according to the ratio of the process shortening duration of the data application scenario to be evaluated to the maximum process shortening duration in the data application scenario set.

[0125] Among them, the data application scenario set includes the data application scenario to be evaluated.

[0126] Optionally, the process includes at least one of the following: business process, project process, communication quality measurement process.

[0127] S703. The evaluation device for the data application scenario determines the operation efficiency according to the production resource utilization rate improvement index and the management process optimization index.

[0128] In a possible implementation, the evaluation device for the data application scenario determines the operation efficiency according to the production resource utilization rate improvement index, the weight of the production resource utilization rate improvement index, the management process optimization index, and the weight of the management process optimization index.

[0129] Optionally, the weight of the production resource utilization rate improvement index is 0.4, and the weight of the management process optimization index is 0.6.

[0130] The above solution has at least the following beneficial effects: In the embodiment of the present application, considering that the production resource utilization rate improvement index and the management process optimization index are important parameters for measuring operation efficiency, the evaluation device for the data application scenario can accurately determine the operation efficiency according to the production resource utilization rate improvement index, the weight of the production resource utilization rate improvement index, the management process optimization index, and the weight of the management process optimization index.

[0131] In a possible implementation, combined with Figure 3 , such as Figure 8As shown, before the evaluation device for the data application scenario determines the business value of the data application scenario to be evaluated based on the first data in S301, the evaluation device for the data application scenario determines risk control. The process by which the evaluation device for the data application scenario determines risk control can be specifically implemented through the following S801 - S803.

[0132] S801. The evaluation device for the data application scenario determines the risk warning accuracy index of the data application scenario to be evaluated according to the improvement value of the business risk prediction accuracy rate of the data application scenario to be evaluated.

[0133] It should be noted that business risk prediction is to identify potential risks that may affect the achievement of the enterprise's strategic goals through systematic analysis of the internal and external environments, and evaluate their occurrence probabilities and impact degrees to provide a basis for decision-making.

[0134] Optionally, the evaluation device for the data application scenario can determine the business risk prediction accuracy rate based on the number of accurate business risk predictions and the total number of business risk predictions; and determine the improvement value of the business risk prediction accuracy rate based on the difference in the business risk prediction accuracy rate before and after using the data application scenario to be evaluated.

[0135] S802. The evaluation device for the data application scenario determines the compliance loss reduction index of the data application scenario to be evaluated according to the ratio of the fine loss reduction value of the data application scenario to be evaluated to the maximum fine loss reduction value in the data application scenario set.

[0136] Among them, the data application scenario set includes the data application scenario to be evaluated.

[0137] S803. The evaluation device for the data application scenario determines risk control according to the risk warning accuracy index and the compliance loss reduction index.

[0138] In a possible implementation manner, the evaluation device for the data application scenario determines risk control according to the risk warning accuracy index, the weight of the risk warning accuracy index, the compliance loss reduction index, and the weight of the compliance loss reduction index.

[0139] Optionally, the weight of the risk warning accuracy index is 0.6, and the weight of the compliance loss reduction index is 0.4.

[0140] The above solution has at least the following beneficial effects: In the embodiments of the present application, considering that the risk warning accuracy index and the compliance loss reduction index are important parameters for measuring risk control, the weights of the risk warning accuracy index and the compliance loss reduction index can determine the contribution degrees of each index in risk control. The evaluation device for the data application scenario can accurately determine risk control according to the risk warning accuracy index, the weight of the risk warning accuracy index, the compliance loss reduction index, and the weight of the compliance loss reduction index.

[0141] In a possible implementation, in combination with Figure 3 , such as Figure 9 shown, before the evaluation device of the data application scenario determines the data utilization information of the data application scenario to be evaluated according to the second data in S302, the evaluation device of the data application scenario determines the scenario attention degree. The process by which the evaluation device of the data application scenario determines the scenario attention degree can be specifically implemented through the following S901 - S904.

[0142] S901. The evaluation device of the data application scenario determines the scenario usage frequency index of the data application scenario to be evaluated according to the ratio of the monthly usage frequency of the data application scenario to be evaluated to the maximum monthly usage frequency in the data application scenario set.

[0143] S902. The evaluation device of the data application scenario determines the user coverage index of the data application scenario to be evaluated according to the ratio of the number of users of the data application scenario to be evaluated to the total number of business - related users.

[0144] It should be explained that the number of users of the data application scenario to be evaluated is used to represent the number of users affected by the data application scenario to be evaluated. For example, in determining the off - grid intention user scenario, the number of users verified by the evaluation device of the data application scenario is the number of users of the off - grid intention user scenario.

[0145] S903. The evaluation device of the data application scenario determines the single - call data volume index of the data application scenario to be evaluated according to the ratio of the number of data entries called once for the data application scenario to be evaluated to the maximum number of data entries called once in the data application scenario set.

[0146] S904. The evaluation device of the data application scenario determines the scenario attention degree according to the scenario usage frequency index, the user coverage index of the scenario, and the single - call data volume index.

[0147] In a possible implementation, the evaluation device of the data application scenario determines the scenario attention degree according to the scenario usage frequency index, the weight corresponding to the scenario usage frequency index, the user coverage index of the scenario, the weight corresponding to the user coverage index of the scenario, the single - call data volume index, and the weight corresponding to the single - call data volume index.

[0148] Optionally, the weight corresponding to the scenario usage frequency index is 0.4, the weight corresponding to the user coverage index of the scenario is 0.4, and the weight corresponding to the single - call data volume index is 0.2.

[0149] The above solution brings at least the following beneficial effects: In the embodiments of the present application, the evaluation device for the data application scenario can quickly and accurately determine the scenario attention degree according to the scenario usage frequency index, the coverage degree index of the scenario for users, and the single call data volume index. Furthermore, based on the scenario attention degree, the evaluation result of the market application value of the data application scenario to be evaluated is determined.

[0150] In a possible implementation manner, in combination with Figure 3 , such as Figure 10 shown, before the evaluation device for the data application scenario determines the data utilization information of the data application scenario to be evaluated according to the second data in S302, the evaluation device for the data application scenario determines the data satisfaction degree. The process by which the evaluation device for the data application scenario determines the data satisfaction degree can be specifically implemented through the following S1001 - S1004.

[0151] S1001: The evaluation device for the data application scenario determines the user satisfaction score index of the data application scenario to be evaluated according to the ratio of the average value of the user satisfaction scores of the data application scenario to be evaluated to the average value of the maximum user satisfaction scores in the data application scenario set.

[0152] In a possible implementation manner, after the evaluation device for the data application scenario uses the data application scenario to be evaluated, it obtains the user satisfaction scores; based on the user satisfaction scores, it determines the average value of the user satisfaction scores, and further determines the user satisfaction score index of the data application scenario to be evaluated according to the ratio of the average value of the user satisfaction scores of the data application scenario to be evaluated to the average value of the maximum user satisfaction scores in the data application scenario set.

[0153] S1002: The evaluation device for the data application scenario determines the complaint evaluation index of the data application scenario to be evaluated according to the ratio of the number of complaints of the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated.

[0154] It should be noted that the evaluation device for the data application scenario can consult the customer complaint records stored by the operator, and based on the customer complaint records stored by the operator, determine the number of complaints of the data application scenario to be evaluated.

[0155] S1003: The evaluation device for the data application scenario determines the manual correction evaluation index of the data application scenario to be evaluated according to the ratio of the number of times of manually corrected data of the data application scenario to be evaluated to the total number of uses of the data application scenario to be evaluated.

[0156] It should be noted that the evaluation device for the data application scenario obtains the number of times of manually corrected data of the data application scenario to be evaluated through the operator server.

[0157] S1004. The evaluation device for the data application scenario determines the data satisfaction according to the user satisfaction scoring index, the complaint evaluation index, and the manual correction evaluation index.

[0158] In a possible implementation, the evaluation device for the data application scenario determines the data satisfaction according to the user satisfaction scoring index, the weight of the user satisfaction scoring index, the complaint evaluation index, the weight of the complaint evaluation index, the manual correction evaluation index, and the weight of the manual correction evaluation index.

[0159] Optionally, the weight of the user satisfaction scoring index is 0.5, the weight of the complaint evaluation index is 0.3, and the weight of the manual correction evaluation index is 0.2.

[0160] The above solution has at least the following beneficial effects: In the embodiment of the present application, the evaluation device for the data application scenario determines the data satisfaction according to the user satisfaction scoring index, the complaint evaluation index, and the manual correction evaluation index. Furthermore, based on the data satisfaction, the evaluation result of the market application value of the data application scenario to be evaluated is determined.

[0161] In the embodiment of the present application, the evaluation device for the data application scenario can be divided into functional modules or functional units according to the above method examples. For example, each functional module or functional unit can be corresponding 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 or functional units. Among them, the division of modules or units in the embodiment of the present application is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0162] Exemplarily, as Figure 11 shown, it is a possible structural schematic diagram of an evaluation device for a data application scenario involved in the embodiment of the present application. The evaluation device for the data application scenario includes: a processing unit 1101 and an acquisition unit 1102.

[0163] The processing unit 1101 is configured to determine the business value of the data application scenario to be evaluated according to the first data; the first data includes at least one of the following: operation efficiency, risk control; the business value is used to represent the operation effect of the business; the processing unit 1101 is configured to determine the data utilization information of the data application scenario to be evaluated according to the second data; the second data includes at least one of the following: scenario attention, data satisfaction; the data utilization information is used to represent the usage of the data; the processing unit 1101 is configured to determine the evaluation result of the market application value of the data application scenario to be evaluated based on the business value of the data application scenario to be evaluated and the data utilization information of the data application scenario to be evaluated.

[0164] Optionally, the evaluation device for the data application scenario further includes an acquisition unit 1102. The acquisition unit 1102 is configured to acquire third data. The third data includes at least one of the following: financial value, customer value. The processing unit 1101 is further configured to determine the business value of the data application scenario to be evaluated according to the first data and the third data.

[0165] Optionally, the processing unit 1101 is further configured to: determine the revenue increase index of the data application scenario to be evaluated according to the ratio of the revenue increase value of the data application scenario to be evaluated to the maximum revenue increase value in the data application scenario set. The data application scenario set includes the data application scenario to be evaluated. The processing unit 1101 is further configured to determine the cost saving index of the data application scenario to be evaluated according to the ratio of the cost reduction value of the data application scenario to be evaluated to the maximum cost reduction value in the data application scenario set. The processing unit 1101 is further configured to determine the return on investment index of the data application scenario to be evaluated according to the return on investment of the data application scenario to be evaluated. The processing unit 1101 is further configured to determine the financial value according to the revenue increase index, the cost saving index, and the return on investment index.

[0166] Optionally, the processing unit 1101 is further configured to: determine the user expansion index of the data application scenario to be evaluated according to the ratio of the user expansion volume of the data application scenario to be evaluated to the maximum user expansion volume in the data application scenario set. The user expansion volume includes the increase in the number of networked users and the retention of off-network users. The data application scenario set includes the data application scenario to be evaluated. Determine the network optimization perception improvement index of the data application scenario to be evaluated according to the improvement value of the excellent rate of network perception of the data application scenario to be evaluated. Determine the service evaluation improvement index of the data application scenario to be evaluated according to the improvement value of the service evaluation satisfaction rate of the data application scenario to be evaluated. Determine the personalized service penetration index of the data application scenario to be evaluated according to the improvement value of the penetration rate of the personalized package in the preset group of the data application scenario to be evaluated. Determine the overall service coverage index of the data application scenario to be evaluated according to the improvement value of the overall service coverage rate of the data application scenario to be evaluated. Determine the customer value according to the user expansion index, the network optimization perception improvement index, the service evaluation improvement index, the personalized service penetration index, and the overall service coverage index.

[0167] Optionally, the processing unit 1101 is further configured to: determine the production resource utilization improvement index of the data application scenario to be evaluated according to the improvement value of the production resource utilization rate of the data application scenario to be evaluated. Determine the management process optimization index of the data application scenario to be evaluated according to the ratio of the process shortening duration of the data application scenario to be evaluated to the maximum process shortening duration in the data application scenario set. The data application scenario set includes the data application scenario to be evaluated. Determine the operation efficiency according to the production resource utilization improvement index and the management process optimization index.

[0168] Optionally, the processing unit 1101 is further configured to: determine a risk warning accuracy index for the data application scenario to be evaluated according to the improvement value of the business risk prediction accuracy of the data application scenario to be evaluated; determine a compliance loss reduction index for the data application scenario to be evaluated according to the ratio of the reduction value of the fine loss of the data application scenario to be evaluated to the maximum reduction value of the fine loss in the data application scenario set; the data application scenario set includes the data application scenario to be evaluated; determine risk control according to the risk warning accuracy index and the compliance loss reduction index.

[0169] Optionally, the processing unit 1101 is further configured to: determine a scenario usage frequency index for the data application scenario to be evaluated according to the ratio of the monthly usage frequency of the data application scenario to be evaluated to the maximum monthly usage frequency in the data application scenario set; determine a user coverage index for the data application scenario to be evaluated according to the ratio of the number of users of the data application scenario to be evaluated to the total number of business-related users; determine a single-call data volume index for the data application scenario to be evaluated according to the ratio of the number of data entries called each time in the data application scenario to be evaluated to the maximum number of data entries called each time in the data application scenario set; determine scenario attention according to the scenario usage frequency index, the user coverage index for the scenario, and the single-call data volume index.

[0170] Optionally, the processing unit 1101 is further configured to: determine a user satisfaction score index for the data application scenario to be evaluated according to the ratio of the average value of the user satisfaction scores of the data application scenario to be evaluated to the maximum average value of the user satisfaction scores in the data application scenario set; determine a complaint evaluation index for the data application scenario to be evaluated according to the ratio of the number of complaints in the data application scenario to be evaluated to the total number of usage times of the data application scenario to be evaluated; determine a manual correction evaluation index for the data application scenario to be evaluated according to the ratio of the number of times of manually corrected data in the data application scenario to be evaluated to the total number of usage times of the data application scenario to be evaluated; determine data satisfaction according to the user satisfaction score index, the complaint evaluation index, and the manual correction evaluation index.

[0171] The embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is configured to run a computer program or instruction to implement the evaluation method of the data application scenario in the above method embodiment.

[0172] The embodiment of the present application provides a computer program product containing instructions, which when running on a computer, causes the computer to execute the evaluation method of the data application scenario in the above method embodiment.

[0173] Among them, a computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). In an embodiment of the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0174] Since the apparatuses, devices, computer-readable storage media, and computer program products in the embodiments of the present invention can be applied to the above method, the technical effects that can be obtained therefrom can also refer to the method embodiments above, and will not be elaborated herein in the embodiments of the present application.

[0175] The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An evaluation method for data application scenarios, characterized in that Including: Determine the business value of the application scenario of the data to be evaluated according to the first data; the first data includes at least one of the following: operation efficiency, risk control; The business value is used to characterize the operation effect of the business; Determine the data utilization information of the application scenario of the data to be evaluated according to the second data; the second data includes at least one of the following: scenario attention, data satisfaction; the data utilization information is used to characterize the usage of the data; Based on the business value of the application scenario of the data to be evaluated and the data utilization information of the application scenario of the data to be evaluated, determine the evaluation result of the market application value of the application scenario of the data to be evaluated.

2. The method according to claim 1, wherein The determining the business value of the application scenario of the data to be evaluated according to the first data includes: Obtain the third data; the third data includes at least one of the following: financial value, customer value; Determine the business value of the application scenario of the data to be evaluated according to the first data and the third data.

3. The method according to claim 2, wherein When the third data includes the financial value, the obtaining the third data includes: Determine the revenue increase index of the application scenario of the data to be evaluated according to the ratio of the revenue increase value of the application scenario of the data to be evaluated to the maximum revenue increase value in the set of data application scenarios; the set of data application scenarios includes the application scenario of the data to be evaluated; Determine the cost saving index of the application scenario of the data to be evaluated according to the ratio of the cost reduction value of the application scenario of the data to be evaluated to the maximum cost reduction value in the set of data application scenarios; Determine the investment return index of the application scenario of the data to be evaluated according to the return on investment of the application scenario of the data to be evaluated; Determine the financial value according to the revenue increase index, the cost saving index and the investment return index.

4. The method according to claim 2, wherein When the third data includes the customer value, the obtaining the third data includes: Determine the user expansion volume index of the application scenario of the data to be evaluated according to the ratio of the user expansion volume of the application scenario of the data to be evaluated to the maximum user expansion volume in the set of data application scenarios; the user expansion volume includes the increase in the number of networked users and the retention of off-net users; the set of data application scenarios includes the application scenario of the data to be evaluated; Determine the network optimization realization perception improvement index of the application scenario of the data to be evaluated according to the improvement value of the excellent rate of network perception of the application scenario of the data to be evaluated; Determine the service evaluation improvement index of the application scenario of the data to be evaluated according to the improvement value of the service evaluation satisfaction rate of the application scenario of the data to be evaluated; Determine the personalized service penetration index of the application scenario of the data to be evaluated according to the improvement value of the penetration rate of the personalized package in the preset group of the application scenario of the data to be evaluated; Determine the overall service coverage index of the application scenario of the data to be evaluated according to the improvement value of the overall service coverage rate of the application scenario of the data to be evaluated; Determine the customer value according to the user expansion volume index, the network optimization realization perception improvement index, the service evaluation improvement index, the personalized service penetration index and the overall service coverage index.

5. The method according to claim 1, wherein Before determining the business value of the data application scenario to be evaluated based on the first data, the method further includes: Determining a production resource utilization improvement index for the data application scenario to be evaluated according to the production resource utilization improvement value of the data application scenario to be evaluated; Determining a management process optimization index for the data application scenario to be evaluated according to the ratio of the process shortening duration of the data application scenario to be evaluated to the maximum process shortening duration in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; Determining the operation efficiency according to the production resource utilization improvement index and the management process optimization index; 6. The method according to claim 1, wherein Before determining the business value of the data application scenario to be evaluated based on the first data, the method further includes: Determining a risk warning accuracy index for the data application scenario to be evaluated according to the business risk prediction accuracy improvement value of the data application scenario to be evaluated; Determining a compliance loss reduction index for the data application scenario to be evaluated according to the ratio of the fine loss reduction value of the data application scenario to be evaluated to the maximum fine loss reduction value in the set of data application scenarios; the set of data application scenarios includes the data application scenario to be evaluated; Determining the risk control according to the risk warning accuracy index and the compliance loss reduction index; 7. The method according to any one of claims 1 to 6, characterized in that, When the second data includes the scenario attention degree, before determining the data utilization information of the data application scenario to be evaluated based on the second data, the method further includes: Determining a scenario usage frequency index for the data application scenario to be evaluated according to the ratio of the monthly usage frequency of the data application scenario to be evaluated to the maximum monthly usage frequency in the set of data application scenarios; Determining a user coverage index for the data application scenario to be evaluated according to the ratio of the number of users of the data application scenario to be evaluated to the total number of business-related users; Determining a single-call data volume index for the data application scenario to be evaluated according to the ratio of the number of data entries called each time in the data application scenario to be evaluated to the maximum number of data entries called each time in the set of data application scenarios; Determining the scenario attention degree according to the scenario usage frequency index, the user coverage index for the scenario, and the single-call data volume index; 8. The method according to any one of claims 1-6, characterized in that Before determining the data utilization information of the data application scenario to be evaluated based on the second data, the method further includes: Determining a user satisfaction score index for the data application scenario to be evaluated according to the ratio of the average user satisfaction score of the data application scenario to be evaluated to the maximum average user satisfaction score in the set of data application scenarios; Determining a complaint evaluation index for the data application scenario to be evaluated according to the ratio of the number of complaints of the data application scenario to be evaluated to the total number of times of use of the data application scenario to be evaluated; Determining an artificial correction evaluation index for the data application scenario to be evaluated according to the ratio of the number of times of manually corrected data of the data application scenario to be evaluated to the total number of times of use of the data application scenario to be evaluated; Determine the data satisfaction degree according to the user satisfaction rating index, the complaint evaluation index, and the manual correction evaluation index.

9. An evaluation device for a data application scenario, characterized in that, The evaluation device for the data application scenario includes: a processing unit; The processing unit is configured to determine the business value of the data application scenario to be evaluated according to first data; the first data includes at least one of the following: operation efficiency, risk control; the business value is used to characterize the operation effect of the business. The processing unit is configured to determine the data utilization information of the data application scenario to be evaluated according to second data; the second data includes at least one of the following: scenario attention degree, data satisfaction degree; the data utilization information is used to characterize the usage situation of the data. The processing unit is configured to determine an evaluation result of the market application value of the data application scenario to be evaluated based on the business value of the data application scenario to be evaluated and the data utilization information of the data application scenario to be evaluated.

10. An evaluation device for a data application scenario, characterized in that, including: a processor and a memory; wherein, the memory is used to store computer execution instructions, and when the evaluation device for the data application scenario runs, the processor executes the computer execution instructions stored in the memory, so that the evaluation device for the data application scenario executes the evaluation method for the data application scenario according to any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes instructions, and when the instructions are executed by the evaluation device for the data application scenario, the computer executes the evaluation method for the data application scenario according to any one of claims 1-8.

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