Index management method and device, equipment, medium and product

Abstract

The invention provides an index management method and device, equipment, a medium and a product, and relates to the technical field of big data. The method comprises the steps that index management information model requirements are formulated; collecting a plurality of indexes in the report, and inputting a plurality of indexes meeting the requirements of the index management information model in the report based on the requirements of the index management information model to obtain a plurality of preprocessing indexes; comparing each preprocessing index with an existing public core index, and judging whether the preprocessing index refers to the existing public core index or not; when the existing public core index is quoted, judging whether an existing management application index matched with the preprocessing index exists in a plurality of existing management application indexes corresponding to the existing public core index quoted by the preprocessing index or not; and when the matched existing management application index exists, managing the report form and the preprocessing index in the report form by using the existing management application index matched with the preprocessing index.

Description

Technical Field

[0001] The present application relates to the field of big data technology, and in particular to an indicator management method, device, equipment, medium and product. Background Art

[0002] Data indicators are the calculation methods of indicators determined according to the statistical scope and the basis for data collection. For more complex indicators, they also include the constraints, associated conditions and other matters that need to be paid attention to when the indicators are counted. In different data analysis applications, the same indicator may appear in multiple reports, with only different statistical dimensions and statistical rules. If they are managed and maintained independently, there will be problems such as indicator redundancy, diffusion of indicator quantity, inconsistent caliber maintenance, and increased cost of verifying and confirming data.

[0003] At present, data indicators are mainly managed by dividing them into atomic indicators and derived indicators. Derived indicators are defined by limiting the statistical dimensions and business scenario modifiers on atomic indicators. However, atomic indicators and derived indicators can only be defined by splitting and modifying indicators. Due to the inconsistency of non-semantic synonyms, a large number of redundant indicators may be caused, and the public core indicators of the enterprise cannot be reflected and abstracted, and the various data application scenarios of the indicators cannot be maintained and managed. Summary of the invention

[0004] In view of this, embodiments of the present application provide an indicator management method, apparatus, device, medium and product to overcome the above-mentioned problems or at least partially solve the above-mentioned problems.

[0005] A first aspect of an embodiment of the present application provides an indicator management method, the method comprising: Develop the indicator management information model requirements; Collect multiple indicators in the report, and enter multiple indicators in the report that meet the requirements of the indicator management information model based on the requirements of the indicator management information model to obtain multiple pre-processing indicators; Compare each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator; When the preprocessing indicator references the existing public core indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator; When there is an existing management application indicator that matches the preprocessing indicator, the report and the preprocessing indicator in the report are managed with the existing management application indicator that matches the preprocessing indicator.

[0006] Optionally, comparing each preprocessing indicator with an existing common core indicator to determine whether the preprocessing indicator refers to the existing common core indicator includes: Parsing and deduplicating the preprocessing indicators, separating the statistical dimensions, common statistical rules, and modifying qualifiers in the preprocessing indicators, and obtaining simplified preprocessing indicators; Determine, by means of a BERT model, a first similarity between the simplified preprocessing indicator and the existing common core indicator; Based on the first similarity, it is determined whether the preprocessing indicator refers to the existing public core indicator.

[0007] Optionally, the method further comprises: When the first similarity indicates that the preprocessing indicator does not reference the existing public core indicator, for the preprocessing indicator, based on the public core indicator definition principle, generating a first pre-added public core indicator corresponding to the preprocessing indicator, wherein the first pre-added public core indicator is an existing public core indicator; For the preprocessing indicator, generate a first pre-added management application indicator, and associate the first pre-added management application indicator with the first pre-added common core indicator, where the first pre-added management application indicator is an existing management application indicator; Based on the first pre-added public core indicator and the first pre-added management application indicator, the report and the pre-processing indicators in the report are managed.

[0008] Optionally, the determining whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, includes: When the first similarity indicates that the preprocessing indicator references the existing common core indicator, determining a second similarity between the preprocessing indicator and the existing management application indicator through a BERT model; According to the second similarity, it is determined whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator.

[0009] Optionally, the method further comprises: When the second similarity indicates that there is no existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator, a second pre-added management application indicator is generated for the preprocessing indicator, and the second pre-added management application indicator is associated with the existing public core indicator referenced by the preprocessing indicator, and the second pre-added management application indicator is an existing management application indicator; Based on the second pre-added management application indicator and the existing public core indicator referenced by the pre-processing indicator, the report and the pre-processing indicator in the report are managed.

[0010] Optionally, determining, according to the second similarity, whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, includes: Determining whether the preprocessing indicator is the same as an existing management application indicator that matches the preprocessing indicator; When the preprocessing indicator is not the same as the existing management application indicator matched by the preprocessing indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, according to the second similarity, the semantic information of the preprocessing indicator, and the semantic information of the existing management application indicator matched by the preprocessing indicator; The method further includes: when the preprocessing indicator is different from the existing management application indicator matched by the preprocessing indicator, and the preprocessing indicator has an existing management application indicator matched by the preprocessing indicator, based on the existing management application indicator matched by the preprocessing indicator, replacing the preprocessing indicator with the existing management application indicator matched by the preprocessing indicator to obtain a replaced preprocessing indicator; The report and the replaced preprocessing indicator in the report are managed by the existing management application indicator that matches the preprocessing indicator.

[0011] According to a second aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the method described in the first aspect.

[0012] In a third aspect of the embodiments of the present application, a computer program product is provided, including a computer program, which, when executed by a processor, implements the method described in the first aspect.

[0013] According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0014] Beneficial effects of this application: The embodiments of the present application provide an indicator management method, apparatus, equipment, medium and product, including: formulating indicator management information model requirements; collecting multiple indicators in a report, and entering multiple indicators that meet the indicator management information model requirements in the report based on the indicator management information model requirements to obtain multiple preprocessing indicators; comparing each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator references an existing public core indicator; when referencing an existing public core indicator, determining whether there is an existing management application indicator that matches the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator; when there is a matching existing management application indicator, managing the report and the preprocessing indicator in the report with the existing management application indicator that matches the preprocessing indicator.

[0015] Through the technical solution of this application, the requirements for the indicator management information model are formulated to ensure that the indicators entered from the report meet the unified standards. Then the pre-processing indicators are compared with the existing public core indicators to avoid the duplication of indicators and reduce indicator redundancy. Finally, by using the existing management application indicators to manage the reports and pre-processing indicators, the efficiency and accuracy of data management are improved. The whole process ensures the consistency of data indicators, making the comparison and analysis between different reports and indicators more reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting a part of the present application are used to provide a further understanding 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.

[0017] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the description of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 It is a flowchart of an indicator management method provided by an embodiment of the present application; Figure 2 This is a flow chart of constructing an indicator system shown in an embodiment of the present application; Figure 3 is a schematic diagram of a data indicator management system shown in an embodiment of the present application; Figure 4 It is a flowchart of another indicator management method provided by an embodiment of the present application; Figure 5 This is a schematic diagram of a framework of an indicator management system provided by an embodiment of the present application; Figure 6 is a schematic diagram of an indicator system of a cloud computer shown in an embodiment of the present application; Figure 7 This is a schematic diagram of a framework of an indicator management device provided by an embodiment of the present application; Figure 8 It is a schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0019] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are 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 creative work are within the scope of protection of this application.

[0021] The technical solution of this application is to achieve the management of the data indicator system by establishing a set of global, minimized, systematic and related management methods, and then realize the value engine of the data middle platform through the indicator system to drive the development of the business.

[0022] Establish a data indicator management system to define the data model, including application report templates, management application indicators, public core indicators, statistical dimension definitions, dimension code definitions and public statistical rules.

[0023] By refining the key indicators in data applications, removing duplicates, statistical dimensions, and statistical rules, a list of public core indicators is formed, and the indicator system is bound to specific data applications. At the same time, when new indicators are added to new data analysis applications, the BERT model is used to calculate the similarity between the pre-added indicators and the existing indicator system, eliminating the emergence of a large number of redundant indicators due to non-semantic inconsistencies with synonymous names.

[0024] The first embodiment of the present application provides an indicator management method, Figure 1 is a flow chart of an indicator management method provided in an embodiment of the present application, such as Figure 1 As shown, the method includes: Step S101, formulating the index management information model requirements; Step S102, collecting multiple indicators in the report, and entering multiple indicators in the report that meet the requirements of the indicator management information model based on the requirements of the indicator management information model to obtain multiple pre-processing indicators; Step S103, comparing each preprocessing indicator with the existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator; Step S104, when the preprocessing indicator references the existing common core indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator; Step S105: When there is an existing management application indicator that matches the preprocessing indicator, the report and the preprocessing indicator in the report are managed with the existing management application indicator that matches the preprocessing indicator.

[0025] First, in step S101, an indicator management information model needs to be defined. The indicator management information model is used to specify which indicators in the report are important and how to identify and process these indicators. This model includes the definition of indicators, data sources, calculation methods, and business rules. This ensures that the indicators in all reports meet unified standards, which is convenient for subsequent management and analysis.

[0026] Further, in step S102, the report is a report that requires indicator management. First, all indicators in the report are collected, and according to the indicator management information model requirements formulated in step S101, multiple indicators that meet the indicator management information model requirements are screened out from the report. Indicators that do not meet the requirements will not be entered. These collected indicators are used as preprocessing indicators, and the preprocessing indicators will be further processed and analyzed.

[0027] For example, the report is a monthly sales report, which includes multiple indicators such as "monthly sales", "weekly sales", and "customer satisfaction". Through the indicator management information model, the indicators with clear definitions, calculation formulas, data sources, and business rules in the report are determined as qualified indicators, and these qualified indicators are screened out. Indicators that are not clearly defined, inconsistent data sources, inconsistent calculation methods, errors, outdated, lack business relevance, are repeated, incomplete, and have inappropriate data granularity will not be entered. For example, indicators such as "sales", "sales volume", "sales in East China" and "customer satisfaction" are screened out as pre-processing indicators.

[0028] Further, in step S103, each preprocessing indicator is compared with the existing public core indicators to determine whether these preprocessing indicators need to refer to the existing public core indicators. The purpose of this step is to avoid duplication of indicators and ensure the consistency of indicators. The existing public core indicators refer to indicators that have been refined, deduplicated, de-statistical, and de-statistical by extracting key indicator items in management application indicators. Therefore, public core indicators are key indicators that are widely recognized and used in various enterprises.

[0029] For example, "sales" can be used as an existing public core indicator. By comparing the "monthly sales" (i.e., the pre-processing indicator) in the above monthly sales report with the existing public core indicator "sales", it can be determined whether the "monthly sales" directly refers to the existing "sales".

[0030] Further, in step S104, when it is determined that the preprocessing indicator references an existing common core indicator, it will be further checked whether there is an existing management application indicator matching the preprocessing indicator among the multiple existing management application indicators corresponding to the existing common core indicator, thereby ensuring that the preprocessing indicator can be correctly classified and managed.

[0031] Existing management application indicators refer to indicators used to manage and monitor business in specific business scenarios, which have time restrictions, regional restrictions, business scenario restrictions, etc.

[0032] For example, assume that the management application indicators corresponding to the public core indicator "sales" include "sales in East China" and "sales in South China". At this time, compare the "sales in East China" in the above monthly sales report with these existing management application indicators to see if there are matching existing management application indicators, where matching existing management application indicators means: the same as or similar in meaning to existing management application indicators. For example, if the existing management application indicator is "sales in East China", it is similar to the "sales in East China" in the pre-processing indicator. If the pre-processing indicator is "sales in South China", it is different from the existing management application indicator and therefore does not match. If the pre-processing indicator is "sales volume in East China", it is similar in meaning to the existing management application indicator "sales in East China", so it matches.

[0033] Finally, in step S105, when there are existing management application indicators that match the preprocessing indicators, these matching existing management application indicators can be directly used to manage the report and preprocessing indicators, thereby ensuring that the data indicator system manages each report and indicator in a unified and efficient manner.

[0034] For example, the pre-processing indicator "East China sales volume" in the monthly sales report and the existing management application indicator "East China sales revenue" are synonymous indicators with different words. Therefore, we believe that these two indicators match. We will use "East China sales revenue" to manage the report and the indicator "East China sales volume" in the report. "East China sales revenue" is related to the existing public core indicator "sales revenue", thereby achieving the globality, minimization, systematicity and correlation between the various indicators.

[0035] Through the above embodiments, the indicator management information model requirements are formulated to ensure that the indicators entered from the report meet the unified standards. Then, the pre-processing indicators are compared with the existing public core indicators to avoid the duplication of indicators and reduce indicator redundancy. Finally, by using the existing management application indicators to manage the report and pre-processing indicators, the efficiency and accuracy of data management are improved. The whole process ensures the consistency of data indicators, making the comparison and analysis between different reports and indicators more reliable.

[0036] In addition, at the beginning when there is no systematic management of indicators, it is necessary to first build an indicator system that includes existing public core indicators and existing management application indicators. Each indicator system is designed for a type of business scenario. Through a complete indicator system, all relevant indicators of the business scenario can be maintained and managed. Figure 2 is a flow chart of constructing an indicator system shown in an embodiment of the present application. For establishing the indicator system, Figure 2 As shown, it is obtained through the following steps.

[0037] First, design a data indicator management system. Figure 3 is a schematic diagram of a data indicator management system shown in an embodiment of the present application, such as Figure 3 As shown in the figure, the indicator system definition data model is determined in the data indicator management system. The indicator system definition data model includes: indicator management attributes, access principles, merging and splitting principles, public statistical principles, application report templates, management application indicators, public core indicators, statistical dimension definitions, and dimension code definitions. Among them, indicator management attributes are used to define the basic characteristics of indicators, such as name, definition, calculation method, data source, etc. Access principles are used to determine which indicators can be included in the indicator system. Merging and splitting principles are used to guide how to merge similar indicators to reduce redundancy, and to split complex indicators into finer sub-indicators. Public statistical principles define the rules for statistics and analysis of indicators.

[0038] Then, through the indicator management attributes and access principles, indicators in multiple application report forms of public business lines, departments or systems are collected, the collected indicators are sorted and the attributes are improved, and through the merging and splitting principles, the indicators that have been sorted and improved are merged, split, sorted and improved, and multiple existing management application indicators are obtained. Furthermore, according to the merging and splitting principles, the key indicator items in the management application indicators are refined, de-duplicated, de-statistical dimensions, and de-statistical rules are removed for these existing management application indicators, and the existing public core indicators are extracted. According to the indicator management attributes, access principles, merging and splitting principles, public statistical principles, dimension definitions, and dimension code definitions, public core indicator definition principles are formulated, and the public core indicator definition principles are reviewed, revised, and published.

[0039] Finally, a complete indicator system definition data model is obtained, such as Figure 3 As shown, the indicator system definition data model includes management application indicators, public core indicators, dimension definitions, application report forms, public statistical rules, dimension code definitions, and dimension definitions. Public core indicators include indicator numbers, indicator types, indicator categories, applicable public statistical rules, and dimensions. Dimension definitions define the dimensions involved in indicator standard definitions and application indicator definitions. Management application indicators include indicator numbers, standard names, associated public core indicator numbers, associated public core indicator dimensions, and applicable public statistical rules. Dimension definitions include dimension numbers, dimension names, business meanings, and coding methods. Dimension code definitions include dimension numbers, dimension codes, dimension names, and dimension meanings. Dimension code definitions further define and explain the specific codes of dimension definitions. Public statistical rules include public statistical rule names, rule classifications, and rule descriptions. Application report forms are forms for special analysis and daily analysis reports within an enterprise. Application report forms include report numbers, indicator / dimension numbers, management application indicator numbers, and dimension numbers.

[0040] Among them, public statistical rules are divided into basic statistics, relative comparison, average statistics and structural proportion and other rule categories. The basic statistical categories include point-in-time value, period value, minimum value, maximum value and other rules; the relative comparison categories include month-on-month increase, year-on-year increase, month-on-month increase, year-on-year increase, base period increase, base period increase, average deviation and other rules; the average statistical categories include: simple average, weighted average, moving average, time average and other rules; the structural proportion categories include dimension proportion and other rules.

[0041] The regular expressions of public statistical rules are shown in Table 1: Table 1

[0042] Public statistical rules refer to a set of standardized rules for indicator calculation and statistics in the data indicator management system. Public statistical rules ensure the consistency, comparability and accuracy of data and are the basis for data management and analysis. The following is a detailed description of the contents of Table 1: 1. Basic statistical rules: Time point values: including YEAR_BEGIN(), YEAR_END(), TERM_END(), etc., which represent the time point data at the beginning of the year, the end of the year, and the end of the period. These rules are used to determine the time range of data, such as analyzing the performance of data from the beginning of the year to date.

[0043] Period value: including CURR_DAY(), CURR_MONTH(), CURR_QTR(), CURR_YEAR(), etc., which represent the data within the time range of the day, month, quarter, and year respectively. These rules are used to calculate the total or average value of data within a specific time period.

[0044] 2. Minimum and maximum values: Minimum: Use the MIN() function to determine the smallest value in a data set.

[0045] Maximum: Use the MAX() function to determine the largest value in a data set.

[0046] 3. Relative comparison rules: Month-on-month increase: MOM_INCRMT() represents the difference between the index value at the end of the statistical period and the index value of the previous period, which is used to measure changes in the short term.

[0047] Year-on-year increase: YOY_INCRMT() represents the difference between the indicator value at the end of the statistical period and the indicator value at the same period last year, which is used to measure inter-annual changes.

[0048] Month-on-month growth rate: MOM_INC_RNG() indicates the month-on-month growth percentage.

[0049] Year-over-year growth rate: YOY_INC_RNG() indicates the year-over-year growth percentage.

[0050] 4. Base period increment and growth rate: Base period increment: includes YEAR_BEGIN_INCRMT(), YEAR_END_INCRMT(), TERM_END_INCRMT(), etc., which respectively represent the increment compared with the beginning of the year, the previous quarter, and the beginning of the period.

[0051] Base period increase: includes YEAR_BEGIN_INC_RNG(), YEAR_END_INC_RNG(), TERM_END_INC_RNG(), etc., which respectively represent the percentage increase compared with the beginning of the year, the previous quarter, and the beginning of the period.

[0052] 5. Average deviation: Average deviation: AVG_BIAS() refers to the deviation of the indicator value at the end of the statistical period from the average statistical indicator value, which is used to measure the volatility of the data.

[0053] 6. Average statistical rules: Simple average: SMPL_AVG() is the simple arithmetic mean within a statistical period.

[0054] Weighted average: WEIGHT_AVG() assigns different weights to indicator values ​​and calculates the average value based on the weights.

[0055] Moving average: MOV_AVG() calculates the time-series average value of a certain number of items one by one according to the time series.

[0056] Time average: including MONTH_AVG(), QTR_AVG(), YEAR_AVG(), etc., which represent monthly daily average, quarterly daily average, and annual daily average respectively.

[0057] 7. Structural proportion rules: Dimension proportion: DIM_PCT() indicates the proportion of a certain dimension in the total, which is used to analyze the contribution of different dimensions to the total.

[0058] These public statistical rules provide a standardized method for calculating data indicators, making data analysis results comparable and consistent. Through these rules, different departments and teams can be ensured to follow the same standards when analyzing and reporting data, thereby improving the quality and efficiency of decision-making.

[0059] Optionally, the step S103 of comparing each preprocessing indicator with an existing common core indicator to determine whether the preprocessing indicator refers to the existing common core indicator includes: Parsing and deduplicating the preprocessing indicators, separating the statistical dimensions, common statistical rules, and modifying qualifiers in the preprocessing indicators, and obtaining simplified preprocessing indicators; Determine, by means of a BERT model, a first similarity between the simplified preprocessing indicator and the existing common core indicator; Based on the first similarity, it is determined whether the preprocessing indicator refers to the existing public core indicator.

[0060] Specifically, in one embodiment, the judgment process of whether the preprocessing indicator in the above step S103 refers to the existing public core indicator needs to be determined by parsing, deduplication and using the BERT model.

[0061] First, the preprocessing indicators are decomposed into basic components, including statistical dimensions, common statistical rules, and modifying qualifiers, to better understand and compare the structure and meaning of preprocessing indicators.

[0062] And based on the analysis of the preprocessing indicators, the duplicate parts of the preprocessing indicators are removed to ensure that each indicator is unique. This helps to reduce indicator redundancy and improve the accuracy of subsequent comparisons.

[0063] For example, the preprocessing indicator is "the month-on-month sales growth rate of commodity A in East China this month". After parsing, we decompose it into "East China" (statistical dimension), "sales of commodity A" (core indicator part), and "this month" (time modifier).

[0064] Furthermore, the statistical dimensions, common statistical rules, and modifying qualifiers of the preprocessing indicators are separated, and after parsing and deduplication, the various components of the preprocessing indicators are separated to obtain simplified preprocessing indicators.

[0065] For example, the "month-on-month sales growth rate of commodity A in East China this month" is simplified to "sales volume of commodity A" to obtain the core indicator part of the preprocessing indicator.

[0066] Furthermore, the BERT model is used to calculate the similarity between the simplified preprocessing indicators and the existing public core indicators. The BERT model can understand the semantics of the indicators and accurately evaluate the similarity between them. BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model that achieves excellent performance in multiple natural language processing tasks such as question answering, text similarity calculation, and named entity recognition by training on large-scale text data.

[0067] For example, the BERT model is used to compare the similarity between "Product A Sales" (a simplified preprocessing indicator) and existing public core indicators, such as "Product A Sales".

[0068] Furthermore, based on the first similarity calculated by the BERT model, it is determined whether the preprocessing indicator is sufficiently similar to the existing public core indicator, thereby deciding whether to reference the existing public core indicator.

[0069] When the first similarity is higher than a preset similarity threshold, it is considered that the preprocessing indicator references the existing public core indicator; if it is lower than the preset similarity threshold, it is considered that the preprocessing indicator does not reference the existing public core indicator.

[0070] Through the above embodiments, the precision and accuracy of indicator management are improved by parsing, deduplication and separation of the components of the preprocessing indicators. The redundancy of indicators is reduced by deduplication and accurate comparison. In addition, the use of the BERT model enhances the semantic understanding of indicators, making similarity evaluation more accurate, thereby improving the efficiency of data indicator management.

[0071] Optionally, the method further comprises: When the first similarity indicates that the preprocessing indicator does not reference the existing public core indicator, for the preprocessing indicator, based on the public core indicator definition principle, generating a first pre-added public core indicator corresponding to the preprocessing indicator, wherein the first pre-added public core indicator is an existing public core indicator; For the preprocessing indicator, generate a first pre-added management application indicator, and associate the first pre-added management application indicator with the first pre-added common core indicator, where the first pre-added management application indicator is an existing management application indicator; Based on the first pre-added public core indicator and the first pre-added management application indicator, the report and the pre-processing indicators in the report are managed.

[0072] Specifically, in one embodiment, when the preprocessing indicators do not reference existing public core indicators, it is necessary to generate new public core indicators (i.e., the first pre-added public core indicators) and corresponding management application indicators (i.e., the first pre-added management application indicators) according to the preprocessing indicators, and apply these new indicators to the management of the report.

[0073] First, the similarity between the pre-processing indicator and the existing public core indicators (i.e., the first similarity) is analyzed. When the first similarity indicates that the pre-processing indicator does not reference any existing public core indicator, it is necessary to generate a new public core indicator for the pre-processing indicator based on the above public core indicator definition principles (i.e., the first pre-added public core indicator). This newly generated indicator will become part of the existing public core indicators and will be used for future data indicator analysis and management.

[0074] For example, suppose the preprocessing indicator is "monthly new user growth rate", and there is no indicator that fully matches it in the existing public core indicators. According to the public core indicator definition principle, a new public core indicator "new user growth rate" needs to be generated and incorporated into the existing public core indicator system for management.

[0075] Further, the first pre-added management application indicator is generated: For each pre-processing indicator that does not reference an existing public core indicator, a new management application indicator (i.e., the first pre-added management application indicator) is also generated. This new indicator will be directly applied to specific business management and application scenarios and will be associated with the newly generated public core indicator.

[0076] For example, continuing with the "new user growth rate" as an example, it is necessary to generate a new management application indicator "monthly new user growth rate" according to the preprocessing indicator "monthly new user growth rate" and associate it with the new public core indicator "new user growth rate".

[0077] Furthermore, the newly generated management application indicator is associated with the corresponding new public core indicator, that is, the first pre-added management application indicator is associated with the first pre-added public core indicator, ensuring that changes in the management application indicator can be reflected in the public core indicator, thereby affecting higher-level business decisions and analysis.

[0078] Finally, the newly generated first pre-added public core indicator and first pre-added management application indicator are used to manage the report and the pre-processing indicators therein, such as the "new user growth rate".

[0079] Through the above embodiments, when the pre-processing indicators do not match the existing public core indicators, by generating new public core indicators and corresponding management application indicators, the existing indicator system is expanded to cover more business scenarios and needs. In addition, the generation and application of new indicators follow the unified public core indicator definition principle, ensuring the consistency of data, thereby ensuring the integrity of the data indicator system and the effectiveness of business management.

[0080] Optionally, the judging in step S104 whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicators referenced by the preprocessing indicator, includes: When the first similarity indicates that the preprocessing indicator references the existing common core indicator, determining a second similarity between the preprocessing indicator and the existing management application indicator through a BERT model; According to the second similarity, it is determined whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator.

[0081] Specifically, in step S104, when the preprocessing indicator refers to the existing public core indicator, the specific process of further determining whether the preprocessing indicator matches the existing management application indicator is as follows.

[0082] First, when the first similarity analysis shows that the preprocessing indicators refer to existing public core indicators, the BERT model is needed to calculate the similarity between the preprocessing indicators and the existing management application indicators, that is, the second similarity. The second similarity can be used to evaluate the degree of match between the preprocessing indicators and the existing management application indicators.

[0083] Furthermore, the matching degree between the preprocessing indicator and the existing management application indicator is evaluated according to the second similarity calculated by the BERT model. When the second similarity is higher than the preset similarity threshold, the preprocessing indicator is considered to match the existing management application indicator; if it is lower than the preset similarity threshold, it is considered not to match.

[0084] Through the above embodiments, using the BERT model, it is possible to more accurately match preprocessing indicators with existing management application indicators, ensure the correct matching of preprocessing indicators with management application indicators, optimize data management and application processes, and improve the efficiency and quality of data analysis. By matching preprocessing indicators with existing management application indicators, the operability of data is enhanced, so that data can be better applied to business operations and management, thereby ensuring the accuracy of the indicator system.

[0085] Optionally, the method further comprises: When the second similarity indicates that there is no existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator, a second pre-added management application indicator is generated for the preprocessing indicator, and the second pre-added management application indicator is associated with the existing public core indicator referenced by the preprocessing indicator, and the second pre-added management application indicator is an existing management application indicator; Based on the second pre-added management application indicator and the existing public core indicator referenced by the preprocessing indicator, the report and the preprocessing indicator in the report are managed.

[0086] Specifically, in one embodiment, when the preprocessing indicator does not match the existing management application indicator, it is necessary to generate a new management application indicator, namely a second pre-added management application indicator, and associate the second pre-added management application indicator with the existing common core indicator to manage the report and preprocessing indicator.

[0087] First, when the second similarity analysis indicates that the preprocessing indicator does not match the existing management application indicator, a new management application indicator, ie, a second pre-added management application indicator, is generated for the preprocessing indicator.

[0088] For example, the preprocessing indicator is "the growth rate of new users in East China this month", and there is no directly matching indicator in the existing management application indicators. In this case, the system will generate a new management application indicator, such as "the growth rate of new users in East China".

[0089] Furthermore, the newly generated second pre-added management application indicator will be associated with the existing public core indicator referenced by the pre-processing indicator. This association ensures that the new indicator is consistent with the core business indicator of the enterprise and can be included in the unified data management system.

[0090] For example, the "new user growth rate in East China" (the second pre-added management application indicator) will be associated with the "new user growth rate" (the existing public core indicator).

[0091] Furthermore, the existing public core indicators referenced by the newly generated second pre-added management application indicators and pre-processing indicators are used to manage the report and the pre-processing indicators therein. This includes data collection, processing, analysis and reporting to ensure data consistency and accuracy.

[0092] For example, use the "New User Growth Rate in East China" to evaluate the effectiveness of marketing activities in East China, and use the "New User Growth Rate" to monitor the company's overall new user growth trend.

[0093] Through the above embodiments, when the preprocessing indicators do not match the existing management application indicators, new management application indicators can be generated to expand the existing indicator system so that it can cover more business scenarios and needs, and these new indicators can be associated with the existing public core indicators to facilitate the management of reports and preprocessing indicators, thereby ensuring the integrity of the indicator system and the effectiveness of business management.

[0094] Optionally, determining, according to the second similarity, whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, includes: Determining whether the preprocessing indicator is the same as an existing management application indicator that matches the preprocessing indicator; When the preprocessing indicator is not the same as the existing management application indicator matched by the preprocessing indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, according to the second similarity, the semantic information of the preprocessing indicator, and the semantic information of the existing management application indicator matched by the preprocessing indicator; The method further includes: when the preprocessing indicator is different from the existing management application indicator matched by the preprocessing indicator, and the preprocessing indicator has an existing management application indicator matched by the preprocessing indicator, based on the existing management application indicator matched by the preprocessing indicator, replacing the preprocessing indicator with the existing management application indicator matched by the preprocessing indicator to obtain a replaced preprocessing indicator; The report and the replaced preprocessing indicator in the report are managed by the existing management application indicator that matches the preprocessing indicator.

[0095] Specifically, in one embodiment, when the preprocessing indicator is not completely the same as the existing management application indicator but there is a match, the preprocessing indicator needs to be replaced, and the report is managed based on the matching management application indicator.

[0096] First, it is determined whether the preprocessing index is exactly the same as the existing management application index. This is to determine whether further matching or replacement operations are required. If they are exactly the same, no replacement is required.

[0097] When the preprocessing indicator is different from the existing management application indicator, it is comprehensively determined whether there is an existing management application indicator matching the preprocessing indicator based on the second similarity, the semantic information of the preprocessing indicator and the semantic information of the existing management application indicator.

[0098] For example, the preprocessing indicator is "the growth rate of sales in East China", and there is no identical indicator in the existing management application indicators, but there is "the growth rate of sales in East China". At this time, the similarity and semantic information of the two indicators will be evaluated to determine whether they match. If the semantic information is different, it means that they do not match and will not be replaced, but a new management application indicator will be generated.

[0099] When it is determined that the preprocessing indicator matches an existing management application indicator, but the two are not exactly the same, the preprocessing indicator in the report is replaced with the existing management application indicator based on the matching existing management application indicator to obtain the replaced preprocessing indicator.

[0100] For example, in the above example, when it is determined that the "sales growth rate in East China" matches the "sales growth rate in East China", the former will be replaced by the latter, so that the report contains the replaced pre-processed indicator "sales growth rate in East China".

[0101] Finally, the report and the replaced pre-processed indicators in the report, such as "sales growth rate in East China", are managed through the existing management application indicators that match the pre-processed indicators. This includes data collection, processing, analysis and reporting to ensure the consistency and accuracy of the data in the report.

[0102] Through the above embodiments, when the preprocessing indicator is not completely the same as the existing management application indicator but there is a match, synonymous indicators can be determined according to the second similarity and semantic information, and the preprocessing indicator can be replaced according to the existing management application indicator. The report is managed through the replaced preprocessing indicator and based on the existing management application indicator matched by the preprocessing indicator, thereby ensuring the integrity of the data indicator management system and the effectiveness of business management.

[0103] The following is an overall description of the index management method in combination with the above embodiments. Figure 4 is a flow chart of another indicator management method provided by an embodiment of the present application, such as Figure 4 shown.

[0104] Indicator entry: First, enter the indicators in the report application according to the requirements of the indicator management information model. This indicator management information model defines the attributes, access principles, merger and split principles, and public statistical principles of indicators, ensuring that the entered indicators meet the organization's data management standards.

[0105] For example: The indicator management information model requires that each indicator must have a clear business definition and calculation formula. We enter the indicator "Sales in East China this month" from the sales report and ensure that it contains all necessary information, such as business definition (what sales refers to), calculation formula (sales = total order amount), etc.

[0106] Indicator similarity comparison: Use the BERT model to calculate the similarity between these newly added indicators (i.e., preprocessing indicators) and the existing public core indicators and existing management application indicators in the existing indicator system, so as to determine whether the preprocessing indicators are repeated or similar to the existing indicators.

[0107] For example, for the indicator "sales in East China this month", we decompose it into "East China" (statistical dimension), "this month" (time modifier) ​​and "sales" (core business indicator). Then, we use the BERT model to compare the similarity of this indicator with the existing indicator system, such as "sales in East China" or "sales nationwide this month".

[0108] Compare similarity with public core indicators: Compare the preprocessing indicators obtained in the previous step with the existing public core indicators to determine whether to reference the existing public core indicators. If the result shows that the preprocessing indicators do not reference the public core indicators, the public core indicators will be extracted according to the definition principles of the public core indicators, and the maintenance and management application indicators will be refined, and the report indicators will be referenced to the management application indicators.

[0109] Determine the similarity with existing management application indicators: When the preprocessing indicator references an existing public core indicator, the next step is to determine whether the preprocessing indicator matches the existing management application indicator associated with the existing public core indicator. If there is a similar existing management application indicator, the preprocessing indicator in the report is bound to this existing management application indicator, so there is no need to create a new indicator. If not, you need to refine the maintenance management application indicator and create a new management application indicator according to the preprocessing indicator for maintenance.

[0110] Through this process, the consistency, accuracy and manageability of indicators can be ensured, while optimizing data utilization efficiency and supporting better business decisions, thereby ensuring the comprehensiveness and systematicness of indicator system management.

[0111] Based on the same inventive concept, another embodiment of the present application further provides an indicator management system. Figure 5 is a schematic diagram of a framework of an indicator management system provided by an embodiment of the present application, such as Figure 5 As shown, the indicator management system is divided into a report maintenance module, a management application indicator generation module, a public core indicator generation module, and a public core and management application indicator application module.

[0112] The report maintenance module is divided into a report indicator information maintenance module and a report indicator binding management application indicator module. The report indicator information maintenance module is used to maintain the indicator information in the report, and the report indicator binding management application indicator module is used to maintain the binding relationship between the indicators in the report and the management application indicators.

[0113] The management application indicator generation module is divided into the management application indicator information maintenance module and the management application indicator binding public core indicator module. The management application indicator information maintenance module is used to parse the indicators produced by the report maintenance module, obtain the pre-processing indicators, maintain the information in the pre-processing indicators, and construct the management application indicators. The management application indicator binding public core indicator module is used to maintain the binding relationship between the management application indicators and the public core data.

[0114] The public core indicator generation module is divided into the public statistical rule configuration module, the general statistical dimension configuration module, and the public core indicator extraction module. The public statistical rule configuration module is used to configure the above-mentioned public statistical rules of various categories; the general statistical dimension configuration module is used to configure the definition of various dimensions; the public core indicator extraction module is used to refine the key indicator items in the management application indicators, remove duplication, dimensions, and statistical rules, and form public core indicators.

[0115] The public core and management application indicator application module includes an indicator query and browsing module, an indicator similarity calculation module, and an indicator similarity indicator retrieval module; the indicator query and browsing module is used for querying and browsing indicators, and the indicator similarity calculation module and the indicator similarity indicator retrieval module are used for similarity calculation when creating indicators for new reports and public core indicators.

[0116] Below, the indicator management method of this application is exemplified by taking the relevant reports of "Development of Cloud Computers" as an example, where Table 2 is the "Development of Cloud Computers (Month)" report, the statistical period is "Month", and the table header and statistical scope are as follows.

[0117] Table 2

[0118] The multiple indicators included in the report are processed to remove duplication, statistical dimensions, and statistical rules, and then extracted to form public core indicators and management application indicators. Among them, the statistical dimension is "province", and the statistical rules are the point value "end of the month", the period value "current month", and the year-on-year growth rate "year-on-year".

[0119] The existing management application indicators and existing public core indicators are as follows: Existing management application indicators: number of cloud computers online, year-on-year increase in the number of cloud computers online, number of active cloud computers in the month, number of cloud computer users online, year-on-year increase in the number of cloud computer users online.

[0120] Existing public core indicators: number of cloud computers online, number of active cloud computers, and number of cloud computer users online.

[0121] Table 3 shows the indicators included in the newly added report. Table 3 is the "Cloud Computer Development Status (Weekly)" report. The statistical period is "week". The table header and statistical scope are as follows.

[0122] Table 3

[0123] For the multiple indicators of the newly added report in Table 3, through the requirements of the indicator management information model, the pre-processing indicators that need to be entered to meet the requirements are: "Number of cloud computers activated", "Number of cloud computer online users", and "Number of cloud computers activated this week".

[0124] Each preprocessing indicator is compared with the existing public core indicators to determine whether each preprocessing indicator refers to the existing public core indicators.

[0125] Among them, the "number of cloud computers activated" is similar in meaning to the "number of cloud computers on the network" based on the similarity comparison with the existing public core indicators based on the statistical caliber. The two are synonymous indicators with different names. At this time, it is recommended to unify the terminology and use "number of cloud computers on the network". Therefore, no new public core indicators will be added for the "number of cloud computers activated".

[0126] The "number of online cloud PC users" is the same as the existing public core indicators, and no new duplicate public core indicators will be created.

[0127] Figure 6 : is a schematic diagram of the cloud computer indicator system shown in an embodiment of the present application. According to the "cloud computer activation number of the week", the pre-added public core indicator "cloud computer activation number" is extracted. Since the "cloud computer activation number" is different from the existing public core indicators, a new public management indicator "cloud computer activation number" is created. According to the pre-processing indicator "cloud computer activation number of the week", a new pre-added management application indicator ""cloud computer activation number of the week"" is created. The public management indicator associated with the pre-added management application indicator "cloud computer activation number of the week" is "cloud computer activation number", thereby obtaining Figure 6 The indicator system shown.

[0128] Through the above embodiments, the technical solution of this application establishes a set of global, minimized, systematic and related indicator management methods, including a global management method for public core indicators from report indicators to management application indicators. The indicator system management is decomposed into an effective Cartesian set of public core indicators, management application indicators, report indicators, statistical dimensions, and public statistical rules. And establish the correlation binding between the indicator system and specific data applications.

[0129] Through indicator extraction, the indicator items in the data application are refined, and duplicates, statistical dimensions, and statistical rules are removed to form public core indicators, which can refine the public core indicators of the enterprise. At the same time, the BERT model is combined to calculate the similarity between the pre-added indicators and the existing indicator system, eliminating the emergence of a large number of redundant indicators due to non-semantic inconsistencies of synonymous names, and minimizing and refining the management of the public core indicators of the enterprise.

[0130] Based on the same inventive concept, an embodiment of the present application provides a data indicator device, Figure 7 is a schematic diagram of a framework of an indicator management device provided by an embodiment of the present application, such as Figure 7 As shown, the device comprises: Formulate module 11, for formulating the indicator management information model requirements; A collection module 12 is used to collect multiple indicators in the report, and input multiple indicators in the report that meet the requirements of the indicator management information model based on the requirements of the indicator management information model to obtain multiple pre-processing indicators; A first judgment module 13 is used to compare each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator; The second judgment module 14 is used to judge whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator when the preprocessing indicator references the existing public core indicator; The management module 15 is used to manage the report and the preprocessing indicator in the report with the existing management application indicator matching the preprocessing indicator when there is an existing management application indicator matching the preprocessing indicator.

[0131] Optionally, the first determining module 13 includes: A simplification unit, used to parse and remove duplicates from the preprocessing indicators, separate statistical dimensions, common statistical rules, and modifying qualifiers in the preprocessing indicators, and obtain simplified preprocessing indicators; A first similarity determination unit, configured to determine a first similarity between the simplified preprocessing indicator and the existing common core indicator through a BERT model; A first judgment unit is used to determine whether the preprocessing indicator refers to the existing public core indicator based on the first similarity.

[0132] Optionally, the device further comprises: A first pre-added common core indicator generating unit is configured to generate, for the pre-processing indicator, a first pre-added common core indicator corresponding to the pre-processing indicator based on a common core indicator definition principle when the first similarity indicates that the pre-processing indicator does not reference the existing common core indicator, wherein the first pre-added common core indicator is an existing common core indicator; A first pre-added management application indicator generating unit, configured to generate a first pre-added management application indicator for the preprocessing indicator, and associate the first pre-added management application indicator with the first pre-added common core indicator, wherein the first pre-added management application indicator is an existing management application indicator; The first management unit is used to manage the report and the pre-processing indicators in the report based on the first pre-added public core indicators and the first pre-added management application indicators.

[0133] Optionally, the second determining module 14 includes: A second similarity determination unit, configured to determine a second similarity between the preprocessing indicator and the existing management application indicator by using a BERT model when the first similarity indicates that the preprocessing indicator references the existing common core indicator; The second judgment unit is used to determine, according to the second similarity, whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicators referenced by the preprocessing indicator.

[0134] Optionally, the device further comprises: a second pre-added management application indicator generating unit, for generating a second pre-added management application indicator for the preprocessing indicator, and associating the second pre-added management application indicator with the existing public core indicator referenced by the preprocessing indicator, when the second similarity indicates that there is no existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator, wherein the second pre-added management application indicator is an existing management application indicator; The second management unit is used to manage the report and the preprocessing indicators in the report based on the second pre-added management application indicators and the existing public core indicators referenced by the preprocessing indicators.

[0135] Optionally, the second judging unit includes: a second determining first subunit, configured to determine whether the preprocessing indicator is the same as an existing management application indicator that matches the preprocessing indicator; A second judgment second subunit is used to determine whether there is an existing management application indicator that matches the preprocessing indicator among multiple existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, according to the second similarity, the semantic information of the preprocessing indicator, and the semantic information of the existing management application indicator that matches the preprocessing indicator, when the preprocessing indicator is not the same as the existing management application indicator that matches the preprocessing indicator; The device further includes: an execution unit, configured to, when the preprocessing indicator is different from an existing management application indicator matched with the preprocessing indicator, and the preprocessing indicator has an existing management application indicator matched with the preprocessing indicator, replace the preprocessing indicator with the existing management application indicator matched with the preprocessing indicator based on the existing management application indicator matched with the preprocessing indicator, so as to obtain a replaced preprocessing indicator; The third management unit is used to manage the report and the replaced preprocessing indicator in the report through the existing management application indicator matching the preprocessing indicator.

[0136] Based on the same inventive concept, another embodiment of the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the indicator management method as described in any of the above embodiments.

[0137] Among them, electronic equipment refers to Figure 8 , Figure 8 is a schematic diagram of an electronic device provided by an embodiment of the present application. Figure 8 As shown, the electronic device 800 includes: a memory 810 and a processor 820. The memory 810 and the processor 820 are connected via a bus communication. A computer program is stored in the memory 810. The computer program can be run on the processor 820 to implement the steps in the indicator management method disclosed in the above embodiment of the present application.

[0138] Based on the same inventive concept, another embodiment of the present application further provides a computer program product, including a computer program, which is executed by a processor to implement the indicator management method described in any of the above embodiments.

[0139] Based on the same inventive concept, another embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, wherein when the program is executed by a processor, the indicator management method as described in any of the above embodiments is implemented.

[0140] The above is a detailed introduction to an indicator management method, device, equipment, medium and product provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An indicator management method, characterized in that: The method comprises: Develop indicator management information model requirements; Collect multiple indicators in the report, and enter multiple indicators in the report that meet the requirements of the indicator management information model based on the requirements of the indicator management information model to obtain multiple pre-processing indicators; Compare each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator; When the preprocessing indicator references the existing public core indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator; When there is an existing management application indicator that matches the preprocessing indicator, the report and the preprocessing indicator in the report are managed with the existing management application indicator that matches the preprocessing indicator.

2. The index management method according to claim 1, characterized in that: The step of comparing each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator includes: Parsing and deduplicating the preprocessing indicators, separating the statistical dimensions, common statistical rules, and modifying qualifiers in the preprocessing indicators, and obtaining simplified preprocessing indicators; Determine, by means of a BERT model, a first similarity between the simplified preprocessing indicator and the existing common core indicator; Based on the first similarity, it is determined whether the preprocessing indicator refers to the existing public core indicator.

3. The index management method according to claim 2, characterized in that: The method further comprises: When the first similarity indicates that the preprocessing indicator does not reference the existing public core indicator, for the preprocessing indicator, based on the public core indicator definition principle, generating a first pre-added public core indicator corresponding to the preprocessing indicator, wherein the first pre-added public core indicator is an existing public core indicator; For the preprocessing indicator, generate a first pre-added management application indicator, and associate the first pre-added management application indicator with the first pre-added common core indicator, where the first pre-added management application indicator is an existing management application indicator; Based on the first pre-added public core indicator and the first pre-added management application indicator, the report and the pre-processing indicators in the report are managed.

4. The index management method according to claim 2, characterized in that: The determining whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator, includes: When the first similarity indicates that the preprocessing indicator references the existing common core indicator, determining a second similarity between the preprocessing indicator and the existing management application indicator through a BERT model; According to the second similarity, it is determined whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator.

5. The index management method according to claim 4, characterized in that: The method further comprises: When the second similarity indicates that there is no existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator, a second pre-added management application indicator is generated for the preprocessing indicator, and the second pre-added management application indicator is associated with the existing public core indicator referenced by the preprocessing indicator, and the second pre-added management application indicator is an existing management application indicator; Based on the second pre-added management application indicator and the existing public core indicator referenced by the pre-processing indicator, the report and the pre-processing indicator in the report are managed.

6. The index management method according to claim 4, characterized in that: The determining, according to the second similarity, whether there is an existing management application indicator matching the preprocessing indicator among a plurality of existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, comprises: Determining whether the preprocessing indicator is the same as an existing management application indicator that matches the preprocessing indicator; When the preprocessing indicator is not the same as the existing management application indicator matched by the preprocessing indicator, determining whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing common core indicator referenced by the preprocessing indicator, according to the second similarity, the semantic information of the preprocessing indicator, and the semantic information of the existing management application indicator matched by the preprocessing indicator; The method further includes: when the preprocessing indicator is different from the existing management application indicator matched by the preprocessing indicator, and the preprocessing indicator has an existing management application indicator matched by the preprocessing indicator, based on the existing management application indicator matched by the preprocessing indicator, replacing the preprocessing indicator with the existing management application indicator matched by the preprocessing indicator to obtain a replaced preprocessing indicator; The report and the replaced preprocessing indicator in the report are managed by the existing management application indicator that matches the preprocessing indicator.

7. An indicator management device, characterized in that: The device comprises: Development module for developing the indicator management information model requirements; A collection module, used for collecting multiple indicators in the report, and inputting multiple indicators in the report that meet the requirements of the indicator management information model based on the requirements of the indicator management information model to obtain multiple pre-processing indicators; A first judgment module is used to compare each preprocessing indicator with an existing public core indicator to determine whether the preprocessing indicator refers to the existing public core indicator; A second judgment module is used to judge whether there is an existing management application indicator matching the preprocessing indicator among multiple existing management application indicators corresponding to the existing public core indicator referenced by the preprocessing indicator when the preprocessing indicator references the existing public core indicator; The management module is used to manage the report and the preprocessing indicator in the report with the existing management application indicator matching the preprocessing indicator when there is an existing management application indicator matching the preprocessing indicator.

8. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the indicator management method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the indicator management method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the indicator management method according to any one of claims 1 to 6 is implemented.

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