Business analysis method, device and electronic equipment

By obtaining and matching the business analysis requirements characteristics of the goal analysis tasks and the business analysis requirements characteristics of the historical analysis report, a clustering algorithm is used to determine the target indicator set, and a business analysis report is generated, which solves the problems of low efficiency of business analysis and inaccurate results in the existing technology, and achieves efficient and accurate business analysis.

CN114611850BActive Publication Date: 2025-04-04CHINA MOBILE GRP GUANGDONG CO LTD +1
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Patent Information

Application Number
CN202011395099.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-12-03
Publication Date
2025-04-04
Estimated Expiration
2040-12-03

AI Technical Summary

Technical Problem

In the prior art, business analysis efficiency and inaccurate analysis results are mainly due to the way of manually extracting indicator data that affects efficiency, and different business analysts have different understandings of requirements, resulting in the difference in the caliber of indicator data that affects the accuracy of results.

Method used

By obtaining the target analysis requirements characteristics of the pending business analysis tasks, and based on the business analysis requirements characteristics and analysis templates corresponding to the historical analysis reports in the historical analysis report library, a historical analysis report and goal analysis template matching the business analysis tasks are determined. Then, the clustering algorithm is used to cluster the metric set used in the matching historical analysis report to obtain the target metric set that matches the business analysis task. Finally, based on the target metric set and target analysis template, a business analysis report is generated.

Benefits of technology

It realizes automatic processing of business analysis tasks, improves processing efficiency and accuracy, reduces business analysis costs and labor costs, and efficiently supports business analysts' daily work such as data query, marketing tracking, customer insights, etc.

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Abstract

The present application discloses a business analysis method, device and electronic device to at least solve the problems of low business analysis efficiency and inaccurate analysis results existing in the related art. The method comprises: obtaining the target analysis requirement characteristics of the business analysis task to be processed; determining the historical analysis report and target analysis template matching the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis template corresponding to the historical analysis report in the preset historical analysis report library; performing cluster analysis on the indicator set used by the matching historical analysis report based on the set clustering algorithm, the target analysis requirement characteristics and the preset correspondence between the business characteristics of different businesses and the indicator set to obtain the target indicator set matching the business analysis task; generating the business analysis report of the business analysis task based on the target indicator set and the target analysis template.
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Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a business analysis method, device and electronic equipment. Background Art

[0002] With the continuous development of mobile communication technology, the IT (Information Technology) system is centralized and the big data platform capabilities are continuously improved. How to continuously and orderly analyze, supervise and guide the development of services across the entire network to meet users' needs for service diversity and high reliability has become a problem that operators need to solve.

[0003] In the related art, when conducting business analysis, business analysts usually need to manually extract the required indicator data from the basic data system that stores a large amount of indicator data for business analysis. However, the manual extraction method affects the efficiency of business analysis, and because different business analysts have different understandings of business analysis requirements, the caliber of the extracted indicator data varies, which in turn affects the accuracy of the business analysis results. Summary of the invention

[0004] The embodiments of the present application provide a business analysis method, device and electronic device to at least solve the problems of low business analysis efficiency and inaccurate analysis results existing in the related art.

[0005] In order to solve the above technical problems, the embodiments of the present application adopt the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a business analysis method, including:

[0007] Obtain target analysis requirement characteristics of the business analysis task to be processed;

[0008] Determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library;

[0009] Based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task;

[0010] A business analysis report for the business analysis task is generated based on the target indicator set and the target analysis template.

[0011] Optionally, based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in a preset historical analysis report library, determining the historical analysis report and the target analysis template that match the business analysis task includes:

[0012] Determine the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to each historical analysis report in the historical analysis report library;

[0013] Based on the similarity, selecting a historical analysis report matching the business analysis task from the historical analysis report library;

[0014] Based on the analysis template corresponding to the matched historical analysis report, a target analysis template matching the business analysis task is determined.

[0015] Optionally, based on a set clustering algorithm, the target analysis requirement characteristics, and a preset correspondence between business characteristics of different businesses and indicator sets, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task, including:

[0016] Based on a set clustering algorithm and a preset correspondence between business characteristics of different businesses and indicator sets, clustering the indicator sets used in the matched historical analysis report to obtain a plurality of indicator set clustering clusters and business characteristics corresponding to each indicator set clustering cluster;

[0017] Based on the business characteristics corresponding to each indicator cluster and the target analysis requirement characteristics, selecting a target indicator cluster matching the business analysis task from the multiple indicator clusters;

[0018] Based on the target indicator set clustering, a target indicator set matching the business analysis task is determined.

[0019] Optionally, determining a target indicator set matching the business analysis task based on the target indicator set clustering includes:

[0020] For each indicator set in the target indicator set cluster, based on the business value score of the business corresponding to the indicator set and the indicator value score of each indicator in the indicator set, selecting an indicator matching the business analysis task from the indicator set;

[0021] Based on the indicators selected from each indicator set in the target indicator set cluster, a target indicator set matching the business analysis task is generated.

[0022] Optionally, after generating a business analysis report of the business analysis task based on the target indicator set and the target analysis template, the method further includes:

[0023] Based on the target indicator set and the preset corresponding relationship, determining the business involved in the target indicator set and the number of indicators of the business involved cited in the business analysis report;

[0024] Based on the number of indicators of the business involved referenced by the target indicator set, the number of indicators in the indicator set corresponding to the business involved, and the number of indicators in the target indicator set, updating the business value score of the business involved, wherein the business value score of the business involved is determined based on the number of indicators in the indicator set corresponding to the business involved referenced by each historical analysis report in the historical analysis report library, the total number of indicators used, and the number of indicators in the indicator set corresponding to the business involved, and / or,

[0025] For each indicator in the indicator set corresponding to the business involved, the indicator value score of the indicator is updated based on the updated business value score of the business involved, the number of indicators in the indicator set corresponding to the business involved, and the total number of indicators used in each historical analysis report in the historical analysis report library.

[0026] Optionally, after generating a business analysis report of the business analysis task based on the target indicator set and the target analysis template, the method further includes:

[0027] Based on the business analysis report and the target analysis requirement characteristics, the historical analysis report library is updated.

[0028] Optionally, before generating a business analysis report of the business analysis task based on the target indicator set and the target analysis template, the method further includes:

[0029] Determining whether the target indicator set is stored in a business analysis system used to generate a business analysis report;

[0030] If the judgment result is no, the indicators in the target indicator set that are not stored in the business analysis system are extracted from the corresponding business basic system and stored in the business analysis system.

[0031] In a second aspect, an embodiment of the present application provides a service analysis device, including:

[0032] A demand feature acquisition module is used to acquire target analysis demand features of the business analysis task to be processed;

[0033] A first determination module is used to determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library;

[0034] A second determination module is used to perform cluster analysis on the indicator set used in the matched historical analysis report based on a set clustering algorithm, the target analysis requirement characteristics, and a preset correspondence between the business characteristics of different businesses and the indicator set, so as to obtain a target indicator set matching the business analysis task;

[0035] A report generation module is used to generate a business analysis report for the business analysis task based on the target indicator set and the target analysis template.

[0036] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0037] processor;

[0038] a memory for storing instructions executable by the processor;

[0039] The processor is configured to execute the instructions to implement the method described in the first aspect.

[0040] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the method described in the first aspect.

[0041] At least one of the above-mentioned technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: based on the target analysis requirement characteristics of the business analysis task to be processed and the business analysis requirement characteristics and analysis templates corresponding to the existing historical analysis reports, the historical analysis report and target analysis template that match the business analysis task are determined, which can provide analysis direction and ideas for business analysts; combined with the target analysis requirement characteristics and the business characteristics of different businesses and the preset correspondence between the business characteristics, a clustering algorithm is used to perform cluster analysis on the indicator set used by the matching historical analysis report to obtain the target indicator set that matches the business analysis task; finally, based on the target indicator set and the target analysis template, a business analysis report corresponding to the business analysis task is generated, and automatic processing of the business analysis task is realized. Compared with the method of manually adding indicator data in related technologies, the processing efficiency and accuracy of the business analysis task are improved, and it can also efficiently support the daily work of business analysts such as data query, marketing tracking, customer insights, etc., effectively alleviate the data acquisition pressure of the system support department, and reduce business analysis costs and labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0043] Figure 1 A schematic diagram of an application scenario involved in the business analysis method provided in an embodiment of the present application;

[0044] Figure 2 A flowchart of a business analysis method provided in an embodiment of the present application;

[0045] Figure 3 A flowchart of another business analysis method provided in an embodiment of the present application;

[0046] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0047] Figure 5 A schematic diagram of the structure of a business analysis device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0049] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0050] The business analysis method provided by one or more embodiments of the present application can be applied to Figure 1 In the scene shown. Figure 1 In the scenario, the scenario includes a business analysis system 1, multiple business basic data systems 2, and a scheduling system 3. Different business basic data systems 2 store indicator data of different fields respectively. For example, the different fields may include, but are not limited to, marketing field, product field, service field, customer field, resource field, accounting field, and network field. In order to effectively distinguish and organize the indicator data of different fields, different fields correspond to a business basic data system 2 for storing the indicator data of the field.

[0051] During the business processing process, the interaction process between the above-mentioned business analysis system 1, the business basic data system 2 and the scheduling system 3 is described as follows: the scheduling system 3 extracts indicator data matching the analysis requirements from one or more business basic data systems 2 to the business analysis system 1 according to the analysis requirements of the business analysis task, and the business analysis system 1 executes the above-mentioned business analysis task based on these extracted indicator data and outputs the business analysis results.

[0052] Based on the above scenario, the embodiment of the present application provides a business analysis method, which can be applied to a business analysis system, such as Figure 1 In the business analysis system 1 shown, please refer to Figure 2 , the method comprises the following steps:

[0053] S22, obtaining target analysis requirement characteristics of the business analysis task to be processed.

[0054] The target analysis requirement feature refers to the feature used to describe the analysis requirement of the business analysis task to be processed. The target analysis requirement feature may specifically include text information used to describe the business analysis task to be processed. For example, if the business analysis task to be processed is to analyze the Mobaihe value-added service from the two aspects of business development and business quality, then the target analysis requirement feature includes: Mobaihe, value-added service, business development and business quality.

[0055] In actual applications, target analysis requirement characteristics can be obtained by identifying the business analysis task information input by the business analyst in the business analysis guide page.

[0056] S24, determining a historical analysis report and a target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library.

[0057] Among them, the historical analysis report library stores a large number of generated historical analysis reports, each of which is generated by using a corresponding analysis template based on the business analysis requirements and the business analysis results. In practical applications, according to the different business analysis tasks, the analysis templates in the embodiments of the present application can generally include but are not limited to the following types of templates: rotation analysis templates, comprehensive analysis templates, daily data analysis templates, etc.

[0058] Taking into account business analysis tasks with similar analysis requirements, the indicators and analysis templates usually used are relatively similar, and thus the analysis reports obtained are also relatively similar. Therefore, in an optional scheme, based on the target analysis requirement characteristics of the business analysis task to be processed and the business requirement characteristics of each historical analysis report, the historical analysis report and target analysis template that match the business analysis task to be processed can be determined, so that the business analysis task to be processed can be processed with reference to the matching analysis report and analysis template, thereby quickly obtaining the ideas and direction for executing the business analysis task and obtaining the corresponding business analysis report.

[0059] Specifically, if Figure 3 As shown, the above step S24 may include:

[0060] S241, determining the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to each historical analysis report in the historical analysis report library.

[0061] Optionally, the above similarity can be expressed using cosine similarity, as shown in the following formula (1).

[0062]

[0063] Among them, sim(C,R i ) represents the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to the i-th historical analysis report; C represents the target analysis requirement characteristics; R i Represents the business analysis requirement characteristics corresponding to the i-th historical analysis report.

[0064] Of course, it is understandable that the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to the historical analysis report can also be expressed by any other appropriate form of similarity in the art, and the embodiments of the present application do not specifically limit this.

[0065] S242, based on the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to each historical analysis report, select a historical analysis report matching the business analysis task from the historical analysis report library.

[0066] Optionally, each historical analysis report in the historical analysis report library can be sorted according to the corresponding similarity, and the historical analysis report matching the business analysis task can be selected from the historical analysis report library according to the sorting result. For example, the historical analysis reports with the highest similarity and the first preset number can be determined as the historical analysis reports matching the business analysis task. Among them, the first preset number can be customized according to the actual analysis needs. For example, the first preset number can be set to 10 or 1. The embodiment of the present application does not specifically limit the value of the first preset number.

[0067] Optionally, the historical analysis report whose similarity exceeds the first preset similarity threshold can also be determined as a historical analysis report matching the business analysis task. The first preset similarity threshold can be customized according to actual analysis requirements. For example, the first preset similarity threshold can be 80%. The embodiment of the present application does not specifically limit the value of the first preset similarity threshold.

[0068] S243, determining a target analysis template matching the business analysis task based on the analysis template corresponding to the historical analysis report matching the business analysis task.

[0069] Optionally, when the number of historical analysis reports matching the business analysis task is one, the analysis template corresponding to the historical analysis report can be determined as the target analysis template; when the number of historical analysis reports matching the business analysis task is multiple, these multiple matching historical analysis reports can be displayed to business analysts, who can make a selection, and further determine the analysis template corresponding to the historical analysis report selected by the business analyst as the target analysis template.

[0070] S26, based on the set clustering algorithm, target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matching historical analysis report to obtain a target indicator set that matches the business analysis task to be processed.

[0071] In an embodiment of the present application, the business characteristics of a business are used to reflect the characteristics of the business, and specifically may include but are not limited to text information (such as keywords, etc.) used to describe the characteristics of the business. The indicator set corresponding to the business characteristics of the business is obtained by analyzing the business characteristics of the business and can be used to reflect at least one indicator of the business characteristics of the business. For each business, the business can be analyzed accordingly using the indicator set corresponding to the business characteristics of the business. For example, for a personal business, the indicator set corresponding to the business characteristics of the business may, for example, include but are not limited to one or more of the following indicators: user age, user age distribution information, user network age, user network age distribution information, user usage packages, and user usage package distribution information.

[0072] Furthermore, considering that the same type of services have certain commonalities, such as personal services, when analyzing the same type of services, the indicator sets used are relatively similar. Therefore, the correspondence between the service characteristics of different services and the indicator sets can be the correspondence between different types of services and the indicator sets. The preset correspondence between the service characteristics of different types of services and the indicator sets can be obtained by classifying and sorting all types of services in the entire network based on their service characteristics.

[0073] Specifically, the services of the entire network can be classified and sorted based on their service characteristics to obtain various types of services, that is, B = {B1, B2, ..., B m}, where B i represents the i-th type of business, m represents the number of business types, and each type of business includes attribute information such as business code, business name, business characteristics, business analysis value score, sub-category business code, etc. Among them, the attribute information of the i-th type of business is recorded as B i ={b1,b2,...,b n}, n represents the number of attributes contained in the attribute information. Next, for each type of service, the development of the entire network service can be analyzed based on the service characteristics of each service contained in this type of service, and the indicator set corresponding to this type of service can be extracted. Among them, the indicator set corresponding to the i-th type of service is recorded as B i = {I i1 ,I i2 ,...,I io}, o represents the number of indicator sets corresponding to the i-th business. In practical applications, the indicator set of each business can come from different fields, including but not limited to marketing domain, product domain, service domain, customer domain, resource domain, account domain, network domain, etc. Further, the attribute information of each type of business and the corresponding indicator set are merged, which is recorded as:

[0074]

[0075] Then B iIj =(b i ,...,b n ,I ij1 ,I ij2 ,...,I ijp ), thereby obtaining the preset correspondence between the business characteristics of different types of business and the indicator set.

[0076] It should be noted that, in actual applications, the preset correspondence between the above-mentioned different businesses and indicator sets can be pre-stored in the business analysis system, so that the business analysis system can directly read the preset correspondence locally to process the pending business analysis tasks.

[0077] In addition, the scheduling system can periodically query each business basic data system to see whether there are new businesses and their corresponding indicator sets or new indicator sets corresponding to existing businesses. If so, the new businesses and their corresponding indicator sets or new indicator sets corresponding to existing businesses are extracted from each business basic data system to the business analysis system to update the above-mentioned preset corresponding relationships, so as to provide accurate data support for the execution of subsequent business analysis tasks.

[0078] Since the business analysis demand characteristics corresponding to the historical analysis reports matching the business analysis tasks are similar to the target analysis demand characteristics, the indicator set used by the above-mentioned matching historical analysis reports has a certain reference value for the business analysis tasks to be processed. Therefore, the indicator set used by the historical analysis reports can be clustered according to the business characteristics, so that the indicator sets used by the corresponding historical analysis reports with similar business characteristics are "clustered" together. Then, based on the clustering results and the target analysis demand characteristics, the indicator set that meets the analysis requirements of the business analysis tasks to be processed is determined, that is, the target indicator set that matches the business analysis tasks.

[0079] It should be noted that the clustering algorithm in the embodiment of the present application can be any appropriate clustering algorithm, and specifically can include but is not limited to a combination of one or more of the following algorithms: Hierarchical Clustering, K-means Clustering, SOM Clustering, FCM Clustering. Preferably, the above clustering algorithm can adopt a hierarchical clustering algorithm.

[0080] S28, generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template.

[0081] Specifically, the corresponding business analysis tasks can be performed based on the target indicator set to obtain business analysis results, and further based on the business analysis results and the target analysis template, a business analysis report of the business analysis task can be generated for reference and analysis by business analysts.

[0082] Among them, the business analysis report may include the business analysis results of the business analysis task, or may also include risk warnings and optimization suggestions for the business involved, so as to provide data basis and guidance suggestions for the quality and integrated development of related businesses.

[0083] Through the business analysis method provided in the embodiment of the present application, based on the target analysis requirement characteristics of the business analysis task to be processed and the business analysis requirement characteristics and analysis templates corresponding to the existing historical analysis reports, the historical analysis report and target analysis template that match the business analysis task are determined, which can provide business analysts with analysis direction and ideas; combined with the target analysis requirement characteristics and the business characteristics of different businesses and the preset correspondence between the business characteristics, a clustering algorithm is used to perform cluster analysis on the indicator set used in the matching historical analysis report to obtain the target indicator set that matches the business analysis task; finally, based on the target indicator set and the target analysis template, a business analysis report corresponding to the business analysis task is generated, which realizes automatic processing of the business analysis task. Compared with the method of manually adding indicator data in related technologies, the processing efficiency and accuracy of the business analysis task are improved, and it can also efficiently support the daily work of business analysts such as data query, marketing tracking, customer insight, etc., effectively alleviate the data acquisition pressure of the system support department, and reduce business analysis costs and labor costs.

[0084] In order to enable those skilled in the art to better understand the business analysis method provided in the above-mentioned embodiment of the present application, each step of the business analysis method provided in the embodiment of the present application is described in detail below.

[0085] For the above step S26, in an optional solution, as Figure 3 As shown, the above step S26 may include:

[0086] S261, based on the set clustering algorithm and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster the indicator set used in the matching historical analysis report to obtain multiple indicator set clusters and the business characteristics corresponding to each indicator set cluster.

[0087] Each indicator set cluster may contain one or more indicator sets, and the indicator sets in the same indicator set cluster have similar business characteristics.

[0088] S262, based on the business characteristics and target analysis requirement characteristics corresponding to each indicator cluster, select a target indicator cluster that matches the business analysis task from multiple indicator clusters.

[0089] More specifically, for each indicator clustering cluster, the similarity between the business characteristics corresponding to the indicator clustering cluster and the target analysis requirement characteristics can be calculated, and then, according to the similarity corresponding to each indicator clustering cluster, the target indicator clustering cluster matching the business analysis task is selected from all indicator clustering clusters. It should be noted that the similarity between the business characteristics corresponding to the indicator clustering cluster and the target analysis requirement characteristics can be calculated in a similar manner as the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to the historical analysis report in the above step S241, which will not be repeated here.

[0090] When selecting the above target indicator clustering cluster from all indicator clustering clusters, optionally, all indicator clustering clusters can be sorted according to the corresponding similarity size, and the target indicator clustering cluster matching the business analysis task can be selected from them according to the sorting result. For example, the indicator clustering cluster with the highest similarity and the second preset number can be determined as the target indicator clustering cluster matching the business analysis task. Among them, the preset number can be customized according to the actual analysis requirements. For example, the second preset number can be set to 1, and the embodiment of the present application does not specifically limit the value of the second preset number.

[0091] Optionally, the historical analysis report whose similarity exceeds the second preset similarity threshold can also be determined as a historical analysis report matching the business analysis task. The second preset similarity threshold can be customized according to actual analysis requirements. For example, the second preset similarity threshold can be 80%. The embodiment of the present application does not specifically limit the value of the second preset similarity threshold.

[0092] S263, based on the target indicator set clustering, determine the target indicator set that matches the business analysis task.

[0093] Optionally, the indicator set included in the target indicator set cluster may be determined as the target indicator set matching the business analysis task.

[0094] Optionally, the indicator sets in the target indicator set cluster may be output and displayed to the business analyst, who may select the indicator set selected by the business analyst and then determine the indicator set selected by the business analyst as the target indicator set matching the business analysis task.

[0095] In a more preferred solution, the target indicator set matching the business analysis task can be determined by combining the business value score of the business corresponding to each indicator set in the target indicator set cluster and the indicator value score of each indicator in each indicator set. Specifically, for each indicator set in the target indicator set cluster, based on the business value score of the business corresponding to the indicator set and the indicator value score of each indicator in the indicator set, an indicator matching the business analysis task is selected from the indicator set, and then based on the indicators selected from each indicator set in the target indicator set cluster, a target indicator set matching the business analysis task is generated.

[0096] More specifically, for each indicator in the indicator set, a weighted sum can be performed according to the business value score corresponding to the indicator set and the indicator value score of the indicator to obtain a comprehensive score of the indicator, and then a third preset number of indicators with top comprehensive scores or indicators with comprehensive scores exceeding a preset score are selected from the indicator set. Furthermore, the indicators selected from each indicator set in the target indicator set cluster can be combined to obtain the above target indicator set.

[0097] Among them, the third preset number and the preset score can be customized according to actual needs. For example, the third preset number can be set to 50.

[0098] Among them, the business value score of the business is used to reflect the situation that the indicator set corresponding to the business is cited by the existing historical analysis reports. The higher the business value score of the business, the more frequently the indicator set corresponding to the business is cited by the existing historical analysis reports, and thus the greater the use value of the indicator set corresponding to the business. Specifically, the business value score of the business can be determined based on the number of indicators of the business cited by each historical analysis report in the historical analysis report library, the total number of indicators used by each historical analysis report, and the number of indicators in the indicator set corresponding to the business. More specifically, the business value score of the business can be determined by the following formula (2).

[0099]

[0100] Among them, b iv represents the business value score of the i-th business; N represents the number of historical analysis reports stored in the historical analysis report library; p j Indicates the number of indicators in the indicator set corresponding to the ith business referenced by the jth historical analysis report; q j represents the total number of indicators used in the jth historical analysis report; P iIndicates the number of indicators in the indicator set corresponding to the i-th business.

[0101] The indicator value score of each indicator in the indicator set is used to reflect the situation in which each indicator is cited by the existing historical analysis reports. The higher the indicator value score of the indicator, the more frequently the indicator is cited by the existing historical analysis reports, and thus the greater the use value of the indicator. Specifically, the indicator value score of each indicator in the indicator set can be determined based on the business value score of the business corresponding to the indicator set, the number of indicators of the business cited by each historical analysis report in the historical analysis report library, and the number of indicators in the indicator set. More specifically, the indicator value score of each indicator in the indicator set can be determined by the following formula (3).

[0102]

[0103] Among them, I imv I represents the indicator value score of the mth indicator in the indicator set corresponding to the i-th business; im ∈j means that the j-th historical analysis report refers to the m-th indicator.

[0104] It can be understood that through the above scheme, since the historical analysis report matching the business analysis task has similar analysis requirements as the business analysis task, the indicator set used by the matching historical analysis report has a certain reference value for the business analysis task. The indicator set used by the matching historical analysis report is clustered according to the business characteristics corresponding to the indicator set, so that the indicator sets with similar corresponding business characteristics are clustered together to obtain multiple indicator set clusters, and then the target indicator set matching the business analysis task is determined based on the business characteristics corresponding to each indicator set cluster and the target analysis requirement characteristics corresponding to the business analysis task, so that the selected target indicator set is more in line with the analysis requirements of the business analysis task, and then the analysis results obtained by executing the business analysis task based on these indicator sets are more accurate.

[0105] In addition, in the above-mentioned more preferred scheme, the business value score of the business corresponding to each indicator set and the indicator value score of each indicator included are comprehensively considered to determine the target indicator set that matches the business analysis task. Since the business value score of the business can reflect the situation where the indicator set corresponding to the business is cited by the existing historical analysis reports, and the indicator value score of a single indicator can reflect the situation where a single indicator is cited by the existing historical analysis reports, the target indicator set obtained by combining the two can better meet the analysis requirements of the business analysis task and further improve the accuracy of the analysis results of the business analysis task.

[0106] Furthermore, in order to provide more accurate data support for other subsequent business analysis tasks, in another embodiment of the present application, after the above step S28, the above business analysis method may also include updating the business value score of the business involved in the business analysis task and the indicator value score of each indicator in the indicator set corresponding to the business. Specifically, based on the preset correspondence between the target indicator set and the business characteristics and indicator sets of the above different businesses, the business involved in the target indicator set and the number of indicators of the business referenced by the generated business analysis report can be determined; further, based on the number of indicators of the business referenced by the target indicator set, the number of indicators in the indicator set corresponding to the business, and the number of indicators in the target indicator set, the business value score of the business is updated; for each indicator in the indicator set corresponding to the business, the indicator value score of the indicator is updated based on the updated business value score of the business, the number of indicators in the indicator set corresponding to the business, and the total number of indicators used by each historical analysis report in the historical analysis report library.

[0107] More specifically, the business value score of the business can be updated by the following formula (4).

[0108]

[0109] Among them, b iv-new represents the updated business value score of the ith business; p represents the number of indicators in the indicator set corresponding to the ith business referenced in the generated business analysis report; q represents the total number of indicators used in the generated business analysis report.

[0110] The indicator value score of each indicator in the indicator set corresponding to the business can be updated by the following formula (5).

[0111]

[0112] Among them, I imv-new Represents the updated indicator value score of the mth indicator in the indicator set corresponding to the i-th business.

[0113] It can be understood that after generating a business analysis report for a business analysis task, the business value scores of the businesses involved in the business analysis report and the indicator value scores of each indicator in the corresponding indicator set are updated, thereby forming an analysis closed loop and providing more accurate data support for subsequent other business analysis tasks.

[0114] Furthermore, in order to provide more accurate data support for other subsequent business analysis tasks, in another embodiment of the present application, after the above step S28, the above business analysis method may further include: updating the historical analysis report library based on the generated business analysis report and target analysis requirement characteristics. Thus, the business analysis report can be used to provide reference for other subsequent business analysis tasks with the same analysis requirements.

[0115] Furthermore, considering that during the business analysis process, the indicator data required for business analysis are usually stored in different business basic data systems in a dispersed manner, each time a business analysis task is performed, especially a new business analysis task, it is necessary to search and extract the corresponding indicator data from the corresponding business basic data system, which will take up a certain amount of time, thereby affecting the execution efficiency of the entire business analysis task. In view of this, in another embodiment of the present application, before the above-mentioned step S28, the above-mentioned business analysis method may also include: determining whether the target indicator set is stored in the business analysis system; if the judgment result is no, the indicators in the target indicator set that are not stored in the business analysis system are extracted from the corresponding business indicator system and stored in the business analysis system, thereby, the business analysis system can directly read the target indicator set from the local to execute the business analysis task without waiting for searching and retrieving from each business basic data system, thereby shortening the processing time of the business analysis task and improving the processing efficiency of the business analysis task.

[0116] It should be noted that, in specific implementation, the above process can be triggered by the scheduling system (such as Figure 1 The scheduling system 3) shown is completed.

[0117] Secondly, in order to ensure the processing efficiency of business analysis tasks, the scheduling system can periodically check whether the business system stores the corresponding indicator set for each business. If the judgment result is no, the indicators in the indicator set corresponding to each business that are not stored in the business system are extracted from the corresponding business basic data system and stored in the business analysis system. In addition, the scheduling system can be configured to provide asynchronous execution capabilities with each business basic data system to meet the data scheduling and operation capabilities of large quantities and long execution times.

[0118] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0119] Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 4At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required for other services.

[0120] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0121] The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0122] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a business analysis device at the logical level. The processor executes the program stored in the memory and is specifically used to perform the following operations:

[0123] Obtain target analysis requirement characteristics of the business analysis task to be processed;

[0124] Determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library;

[0125] Based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task;

[0126] A business analysis report for the business analysis task is generated based on the target indicator set and the target analysis template.

[0127] The above application Figure 2 The method performed by the business analysis device disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in software form. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0128] The electronic device may also perform Figure 2 The method is implemented by the business analysis device. Figure 2 , Figure 3 The functions of the illustrated embodiment will not be described in detail in the embodiments of the present application.

[0129] Of course, in addition to software implementation methods, the electronic device of the present application does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc. That is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0130] The embodiment of the present application also provides a computer-readable storage medium, which stores one or more programs, wherein the one or more programs include instructions, which, when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to execute Figure 2 The method of the embodiment shown is specifically used to perform the following operations:

[0131] Obtain target analysis requirement characteristics of the business analysis task to be processed;

[0132] Determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library;

[0133] Based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task;

[0134] A business analysis report for the business analysis task is generated based on the target indicator set and the target analysis template.

[0135] Figure 5 This is a schematic diagram of the structure of a business analysis device according to an embodiment of the present application. Figure 5 In a software implementation, the business analysis device 500 may include:

[0136] The demand feature acquisition module 510 is used to acquire the target analysis demand features of the business analysis task to be processed;

[0137] A first determination module 520 is used to determine a historical analysis report and a target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library;

[0138] The second determination module 530 is used to perform cluster analysis on the indicator set used in the matched historical analysis report based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, so as to obtain a target indicator set matching the business analysis task;

[0139] The report generation module 540 is used to generate a business analysis report of the business analysis task based on the target indicator set and the target analysis template.

[0140] Optionally, the first determining module is specifically configured to:

[0141] Determine the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to each historical analysis report in the historical analysis report library;

[0142] Based on the similarity, selecting a historical analysis report matching the business analysis task from the historical analysis report library;

[0143] Based on the analysis template corresponding to the matched historical analysis report, a target analysis template matching the business analysis task is determined.

[0144] Optionally, the first determining module is specifically configured to:

[0145] Based on a set clustering algorithm and a preset correspondence between business characteristics of different businesses and indicator sets, clustering the indicator sets used in the matched historical analysis report to obtain a plurality of indicator set clustering clusters and business characteristics corresponding to each indicator set clustering cluster;

[0146] Based on the business characteristics corresponding to each indicator cluster and the target analysis requirement characteristics, selecting a target indicator cluster matching the business analysis task from the multiple indicator clusters;

[0147] Based on the target indicator set clustering, a target indicator set matching the business analysis task is determined.

[0148] Optionally, the first determining module is specifically configured to:

[0149] For each indicator set in the target indicator set cluster, based on the business value score of the business corresponding to the indicator set and the indicator value score of each indicator in the indicator set, selecting an indicator matching the business analysis task from the indicator set;

[0150] Based on the indicators selected from each indicator set in the target indicator set cluster, a target indicator set matching the business analysis task is generated.

[0151] Optionally, the device further includes a third determination module and a first updating module;

[0152] The report generation module is further configured to trigger the third determination module after generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template;

[0153] The third determination module is used to determine the business involved in the target indicator set and the number of indicators of the business involved in the business analysis report based on the target indicator set and the preset corresponding relationship;

[0154] The first updating module is used to update the business value score of the business involved based on the number of indicators of the business involved referenced by the target indicator set, the number of indicators in the indicator set corresponding to the business involved, and the number of indicators in the target indicator set, wherein the business value score of the business involved is determined based on the number of indicators in the indicator set corresponding to the business involved referenced by each historical analysis report in the historical analysis report library, the total number of indicators used, and the number of indicators in the indicator set corresponding to the business involved, and / or, for each indicator in the indicator set corresponding to the business involved, the indicator value score of the indicator is updated based on the updated business value score of the business involved, the number of indicators in the indicator set corresponding to the business involved, and the total number of indicators used by each historical analysis report in the historical analysis report library.

[0155] Optionally, the device further includes a second updating module;

[0156] The report generation module is further configured to trigger the second updating module after generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template;

[0157] The second updating module is used to update the historical analysis report library based on the business analysis report and the target analysis requirement characteristics.

[0158] Optionally, the device further comprises:

[0159] A judgment module, used for judging whether the target indicator set is stored in the business analysis system used for generating the business analysis report before the report generation module generates the business analysis report of the business analysis task;

[0160] The extraction module is used to extract the indicators in the target indicator set that are not stored in the business analysis system from the corresponding business basic system and store them in the business analysis system if the judgment result is no.

[0161] In short, the above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0162] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0163] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0164] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0165] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

Claims

1. A business analysis method, characterized in that: include: Obtain target analysis requirement characteristics of the business analysis task to be processed; Determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library; Based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task; Generate a business analysis report for the business analysis task based on the target indicator set and the target analysis template; Based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task, including: Based on a set clustering algorithm and a preset correspondence between business characteristics of different businesses and indicator sets, clustering the indicator sets used in the matched historical analysis report to obtain a plurality of indicator set clustering clusters and business characteristics corresponding to each indicator set clustering cluster; Based on the business characteristics corresponding to each indicator cluster and the target analysis requirement characteristics, selecting a target indicator cluster matching the business analysis task from the multiple indicator clusters; Based on the target indicator set clustering, determining a target indicator set matching the business analysis task; The determining, based on the target indicator set clustering, a target indicator set matching the business analysis task comprises: For each indicator set in the target indicator set cluster, a weighted sum is performed based on the business value score of the business corresponding to the indicator set and the indicator value score of each indicator in the indicator set to obtain a comprehensive score of each indicator, and a third preset number of indicators with a top comprehensive score or indicators with a comprehensive score exceeding a preset score are selected from the indicator set as indicators matching the business analysis task; wherein, the business value score of a business reflects the frequency with which the indicator set corresponding to the business is cited by existing historical analysis reports, and the indicator value score of each indicator in the indicator set reflects the frequency with which each indicator is cited by existing historical analysis reports; Based on the indicators selected from each indicator set in the target indicator set cluster, generating a target indicator set matching the business analysis task; After generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template, the method further includes: Based on the target indicator set and the preset corresponding relationship, determining the business involved in the target indicator set and the number of indicators of the business involved cited in the business analysis report; Based on the number of indicators of the business involved referenced by the target indicator set, the number of indicators in the indicator set corresponding to the business involved, and the number of indicators in the target indicator set, updating the business value score of the business involved, wherein the business value score of the business involved is determined based on the number of indicators in the indicator set corresponding to the business involved referenced by each historical analysis report in the historical analysis report library, the total number of indicators used, and the number of indicators in the indicator set corresponding to the business involved, and / or, For each indicator in the indicator set corresponding to the business involved, the indicator value score of the indicator is updated based on the updated business value score of the business involved, the number of indicators in the indicator set corresponding to the business involved, and the total number of indicators used in each historical analysis report in the historical analysis report library.

2. The method according to claim 1, characterized in that Based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library, determining the historical analysis report and the target analysis template that match the business analysis task, including: Determine the similarity between the target analysis requirement characteristics and the business analysis requirement characteristics corresponding to each historical analysis report in the historical analysis report library; Based on the similarity, selecting a historical analysis report matching the business analysis task from the historical analysis report library; Based on the analysis template corresponding to the matched historical analysis report, a target analysis template matching the business analysis task is determined.

3. The method according to claim 1, characterized in that After generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template, the method further includes: Based on the business analysis report and the target analysis requirement characteristics, the historical analysis report library is updated.

4. The method according to claim 1, characterized in that Before generating a business analysis report for the business analysis task based on the target indicator set and the target analysis template, the method further includes: Determining whether the target indicator set is stored in a business analysis system used to generate a business analysis report; If the judgment result is no, the indicators in the target indicator set that are not stored in the business analysis system are extracted from the corresponding business basic system and stored in the business analysis system.

5. A business analysis device, characterized in that: include: A demand feature acquisition module is used to acquire target analysis demand features of the business analysis task to be processed; A first determination module is used to determine the historical analysis report and the target analysis template that match the business analysis task based on the target analysis requirement characteristics and the business analysis requirement characteristics and analysis templates corresponding to the historical analysis reports in the preset historical analysis report library; A second determination module is used to perform cluster analysis on the indicator set used in the matched historical analysis report based on a set clustering algorithm, the target analysis requirement characteristics, and a preset correspondence between the business characteristics of different businesses and the indicator set, so as to obtain a target indicator set matching the business analysis task; A report generation module, used to generate a business analysis report for the business analysis task based on the target indicator set and the target analysis template; In the second determination module, based on the set clustering algorithm, the target analysis requirement characteristics, and the preset correspondence between the business characteristics of different businesses and the indicator set, cluster analysis is performed on the indicator set used in the matched historical analysis report to obtain a target indicator set matching the business analysis task, including: Based on a set clustering algorithm and a preset correspondence between business characteristics of different businesses and indicator sets, clustering the indicator sets used in the matched historical analysis report to obtain a plurality of indicator set clustering clusters and business characteristics corresponding to each indicator set clustering cluster; Based on the business characteristics corresponding to each indicator cluster and the target analysis requirement characteristics, selecting a target indicator cluster matching the business analysis task from the multiple indicator clusters; Based on the target indicator set clustering, determining a target indicator set matching the business analysis task; The determining, based on the target indicator set clustering, a target indicator set matching the business analysis task comprises: For each indicator set in the target indicator set cluster, a weighted sum is performed based on the business value score of the business corresponding to the indicator set and the indicator value score of each indicator in the indicator set to obtain a comprehensive score of each indicator, and a third preset number of indicators with a top comprehensive score or indicators with a comprehensive score exceeding a preset score are selected from the indicator set as indicators matching the business analysis task; wherein, the business value score of a business reflects the frequency with which the indicator set corresponding to the business is cited by existing historical analysis reports, and the indicator value score of each indicator in the indicator set reflects the frequency with which each indicator is cited by existing historical analysis reports; Based on the indicators selected from each indicator set in the target indicator set cluster, generating a target indicator set matching the business analysis task; The device is also used to: after generating the business analysis report of the business analysis task based on the target indicator set and the target analysis template, determine the business involved in the target indicator set and the number of indicators of the business involved referenced by the business analysis report based on the target indicator set and the preset corresponding relationship; Based on the number of indicators of the business involved referenced by the target indicator set, the number of indicators in the indicator set corresponding to the business involved, and the number of indicators in the target indicator set, updating the business value score of the business involved, wherein the business value score of the business involved is determined based on the number of indicators in the indicator set corresponding to the business involved referenced by each historical analysis report in the historical analysis report library, the total number of indicators used, and the number of indicators in the indicator set corresponding to the business involved, and / or, For each indicator in the indicator set corresponding to the business involved, the indicator value score of the indicator is updated based on the updated business value score of the business involved, the number of indicators in the indicator set corresponding to the business involved, and the total number of indicators used in each historical analysis report in the historical analysis report library.

6. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 4. 7 . A computer-readable storage medium, when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method as claimed in any one of claims 1 to 4.

Citation Information

Patent Citations

  • Data index analysis method and device and storage medium

    CN109583712A

  • Report generation method and device

    CN109597974A