Business management method and system for enterprise management software

Abstract

The invention relates to the technical field of business data processing, and provides a business management method and system for enterprise management software. The method comprises the following steps: obtaining a service feature-service processing logic relationship according to service feature data and service processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logic relationship; performing feature point marking on the to-be-processed service information to obtain a service feature value set; performing similarity analysis on the business characteristic value set and an enterprise software business processing strategy database by adopting a similarity algorithm, and outputting a target software business processing strategy; and performing service processing on the to-be-processed service information based on the target software service processing strategy to obtain service processing feedback data, and performing service optimization management based on the service processing feedback data. By adopting the method, the technical effects of improving the business processing intelligence and pertinence of the enterprise management software, improving the business processing accuracy and further improving the business management efficiency can be achieved.

Description

Technical Field

[0001] This application relates to the field of business data processing technology, and in particular to a business management method and system for enterprise management software. Background Technology

[0002] Business management refers to the effective standardization, control, and adjustment of various business operations, including production, sales, investment, services, labor, and finance, in accordance with business objectives. Business management is a core aspect of business operations. To improve business management efficiency, enterprise management software is used to process and execute business transactions. Enterprise management software is an information system designed for businesses, helping managers optimize workflows and improve efficiency. Given the complexity and often intricate data processing involved in daily business operations, the efficient processing of business data using enterprise management software is of significant practical importance for its development.

[0003] However, existing technologies suffer from low levels of intelligence in general enterprise management software and insufficient targeted processing, resulting in low business management efficiency. Summary of the Invention

[0004] Therefore, it is necessary to provide a business management method and system for enterprise management software that can improve the intelligence and targeting of business processing, increase the accuracy of business processing, and thus improve business management efficiency, in response to the above-mentioned technical problems.

[0005] A business management method for enterprise management software includes: acquiring business data information from the enterprise management software, the business data information including business characteristic data and business processing information; obtaining a business characteristic-business processing logical relationship based on the business characteristic data and business processing information; constructing an enterprise software business processing strategy database based on the business characteristic-business processing logical relationship; collecting and acquiring business information to be processed through the enterprise management software; classifying and labeling the business information to be processed by business characteristic points to obtain a set of business characteristic values; performing similarity analysis on the set of business characteristic values ​​and the enterprise software business processing strategy database using a similarity algorithm, and outputting a target software business processing strategy; processing the business information to be processed based on the target software business processing strategy, obtaining business processing feedback data, and performing business optimization management based on the business processing feedback data.

[0006] A business management system for enterprise management software, the system comprising: a business data information acquisition module, used to acquire business data information of the enterprise management software, the business data information including business feature data and business processing information; a business processing logic relationship acquisition module, used to obtain business feature-business processing logic relationships based on the business feature data and business processing information; a business processing strategy database construction module, used to construct an enterprise software business processing strategy database based on the business feature-business processing logic relationships; a pending business information acquisition module, used to acquire pending business information through enterprise management software; a feature point classification and labeling module, used to classify and label the pending business information using business feature points to obtain a set of business feature values; a similarity analysis module, used to perform similarity analysis on the set of business feature values ​​and the enterprise software business processing strategy database using a similarity algorithm, and output a target software business processing strategy; and a business optimization management module, used to perform business processing on the pending business information based on the target software business processing strategy, obtain business processing feedback data, and perform business optimization management based on the business processing feedback data.

[0007] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program performing the following steps: Acquire business data information from enterprise management software, wherein the business data information from enterprise management software includes business characteristic data and business processing information; Based on the business feature data and business processing information, the business feature-business processing logical relationship is obtained; Based on the aforementioned business characteristics and business processing logic relationship, an enterprise software business processing strategy database is constructed. Collect and obtain business information to be processed through enterprise management software; The business information to be processed is classified and labeled with business feature points to obtain a set of business feature values; A similarity algorithm is used to perform similarity analysis on the set of business feature values ​​and the database of enterprise software business processing strategies, and the target software business processing strategy is output. Based on the target software business processing strategy, the business information to be processed is processed to obtain business processing feedback data, and business optimization management is performed based on the business processing feedback data.

[0008] A computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Acquire business data information from enterprise management software, wherein the business data information from enterprise management software includes business characteristic data and business processing information; Based on the business feature data and business processing information, the business feature-business processing logical relationship is obtained; Based on the aforementioned business characteristics and business processing logic relationship, an enterprise software business processing strategy database is constructed. Collect and obtain business information to be processed through enterprise management software; The business information to be processed is classified and labeled with business feature points to obtain a set of business feature values; A similarity algorithm is used to perform similarity analysis on the set of business feature values ​​and the database of enterprise software business processing strategies, and the target software business processing strategy is output. Based on the target software business processing strategy, the business information to be processed is processed to obtain business processing feedback data, and business optimization management is performed based on the business processing feedback data.

[0009] The aforementioned business management method and system for enterprise management software solves the technical problems of low intelligence and insufficient targeting in existing general enterprise management software, which leads to low business management efficiency. It achieves the technical effect of improving the intelligence and targeting of business processing in enterprise management software, improving the accuracy of business processing, and thus improving business management efficiency by constructing an enterprise software business processing strategy database to personalize the matching of business processing logic.

[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0011] Figure 1 This is a flowchart illustrating a business management method for enterprise management software in one embodiment; Figure 2 This is a flowchart illustrating the process of obtaining the business feature-business processing logic relationship in a business management method of enterprise management software in one embodiment; Figure 3 This is a structural block diagram of a business management system for an enterprise management software in one embodiment; Figure 4 This is an internal structural diagram of a computer device in one embodiment.

[0012] The attached diagrams are labeled as follows: 11 Business data information acquisition module, 12 Business processing logic relationship acquisition module, 13 Business processing strategy database construction module, 14 Business information to be processed acquisition module, 15 Feature point classification and labeling module, 16 Similarity analysis module, and 17 Business optimization management module. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0014] like Figure 1 As shown, this application provides a business management method for enterprise management software, the method comprising: Step S100: Obtain business data information from enterprise management software, wherein the business data information from enterprise management software includes business characteristic data and business processing information; Specifically, business management refers to the effective standardization, control, and adjustment of various business operations, including production, sales, investment, services, labor, and finance, in accordance with business objectives. Business management is a core aspect of business operations. To improve business management efficiency, enterprise management software is used to process and execute business processes. Enterprise management software is an information system designed for businesses, helping managers optimize workflows and improve efficiency. Therefore, the efficient processing of business management through enterprise management software has significant application and development implications.

[0015] Data mining techniques are used to acquire business data information from enterprise management software. This business data information comprises historical business data processed by various types of enterprise management software, including business characteristic data and business processing information. The business characteristic data includes relevant features of the processed business data, such as data type, data source, format, time, application, security risks, and data value. The business processing information includes the business processing flow and results corresponding to the business characteristic data. By mining and collecting this business data information from enterprise management software, a data foundation is provided for subsequent logical relationship analysis, thereby improving the comprehensiveness and accuracy of the logical relationship analysis.

[0016] Step S200: Based on the business feature data and business processing information, obtain the business feature-business processing logical relationship; In one embodiment, such as Figure 2 As shown, the step S200 of this application further includes obtaining the business feature-business processing logic relationship: Step S210: Mark the business feature data with attributes to obtain business feature attribute information; Step S220: Determine the preset hierarchical division rules based on the enterprise business management standards and the business characteristic attribute information; Step S230: Divide the business feature data according to the preset hierarchical division rules to obtain business feature hierarchical information; Step S240: Cluster the business feature data according to the business feature attribute information and the business feature hierarchy information to obtain business feature data clustering information; Step S250: Perform correlation analysis based on the clustering information of the business feature data and the business processing information to obtain the logical relationship between the business features and the business processing.

[0017] In one embodiment, the step S220 of this application further includes determining the preset hierarchical division rules: Step S221: Determine business characteristic factor information based on the enterprise business management standards; Step S222: Based on the business feature factor information, construct a data-level coordinate system. The data-level coordinate system is a multi-dimensional coordinate system, and the coordinate axes correspond one-to-one with the business feature factor information. Step S223: Perform regional labeling classification on the data hierarchy coordinate system to obtain regional labeling classification results; Step S224: Based on the region label classification results, determine the preset hierarchical division rules.

[0018] Specifically, to analyze the logical relationship between business characteristic data and business processing information, the business characteristic data is first attribute-labeled, that is, the business data is classified and labeled according to the business characteristic type to obtain the corresponding business characteristic attribute information after feature classification, such as the first quarter financial data from customer sources. Enterprise business management standards are obtained through enterprise management software. These standards are the business data processing regulations stipulated by the software. Based on the enterprise business management standards and the business characteristic attribute information, pre-defined data hierarchy rules are formulated. Specifically, firstly, based on the enterprise business management standards, business characteristic factor information is determined. This information consists of the necessary characteristic information of business data as stipulated by the business management standards. For example, business processing data must have characteristics such as business data type, business data source, business value, security risks, and data application.

[0019] Based on the aforementioned business characteristic factor information, a data hierarchical coordinate system is constructed. This data hierarchical coordinate system is a multi-dimensional coordinate system used to hierarchically divide business data, with each coordinate axis corresponding one-to-one with the business characteristic factor information. The data hierarchical coordinate system is then categorized by region labeling. A pre-defined data hierarchical label library is established, with each data level corresponding to a specific label, such as high-value level, medium-value level, and low-value level. The regional labeling can be achieved through historical operational experience of the enterprise or specific division by an expert group, resulting in regional label classification results for the coordinate system. Based on the regional label classification results, preset hierarchical division rules are determined, which are the rules for classifying data into value levels.

[0020] The business feature data is divided according to the preset hierarchical division rules to obtain the value level, i.e., business feature hierarchy information, corresponding to each business feature data. The business feature data is then clustered based on the business feature attribute information and the business feature hierarchy information, grouping data with the same business feature attributes and business feature hierarchy into one category to obtain the classified business feature data clustering information. Furthermore, each cluster of business feature data in the business feature data clustering information is correlated with the business processing information, i.e., business data processing logic analysis is performed to obtain the corresponding business feature-business processing logic relationship. For example, the processing logic for the first quarter financial data from the customer source is: cashier voucher registration - accounting bookkeeping - chief accountant review - manager approval and archiving. The business data processing logic is further refined to improve the comprehensiveness and precision of the logic analysis, achieving targeted business data processing logic in the software.

[0021] Step S300: Based on the business characteristics-business processing logic relationship, construct an enterprise software business processing strategy database; Step S400: Collect and obtain business information to be processed through enterprise management software; Specifically, based on the set of business characteristics and business processing logic relationships obtained from the analysis of various cluster feature data, an enterprise software business processing strategy database is constructed to improve the comprehensiveness of enterprise software business processing logic. Then, pending business information is collected and obtained through enterprise management software; this pending business information refers to information related to pending business processes within the enterprise software.

[0022] Step S500: Classify and label the business information to be processed by business feature points to obtain a set of business feature values; In one embodiment, the step S500 of this application further includes obtaining the set of business feature values: Step S510: Classify the business information to be processed by business features and obtain business feature classification attribute information; Step S520: Based on the preset hierarchical division rules, the business information to be processed is hierarchically marked to obtain the business feature attribute hierarchy; Step S530: Perform interactive mapping between the business feature classification attribute information and the business feature attribute hierarchy to generate a business feature interaction network; Step S540: Obtain the set of business feature values ​​based on the marker points on the business feature interaction network.

[0023] Specifically, to facilitate rapid matching of processing logic for the business information to be processed, the business information to be processed is pre-classified and labeled with business feature points. First, the business information to be processed is classified according to its business features to obtain the corresponding business feature classification attribute information. Then, based on the preset hierarchical division rules, the business information to be processed is hierarchically labeled to obtain the business feature attribute hierarchy corresponding to the business feature classification attribute information. The business feature classification attribute information and the business feature attribute hierarchy are interactively mapped, that is, the specific attribute information of the business feature classification attribute information and the business feature attribute hierarchy are merged to generate a business feature interaction network. Based on the labeled points on the business feature interaction network, the attribute values ​​of the business feature classification attribute information and the business feature attribute hierarchy values ​​are used as a set of business feature values. By pre-processing the feature values ​​of the business information to be processed, standardization of the business information to be processed is achieved, thereby improving the efficiency of business processing logic matching.

[0024] Step S600: Use a similarity algorithm to perform similarity analysis on the set of business feature values ​​and the enterprise software business processing strategy database, and output the target software business processing strategy; In one embodiment, the output target software business processing strategy, step S600 of this application further includes: Step S610: Set business data feature dimension information; Step S620: Based on the business data feature dimension information, arrange and integrate the business feature value set and the enterprise software business processing strategy database to obtain business feature dimension information and business processing strategy dimension database; Step S630: Use a similarity algorithm to calculate the similarity between the business feature dimension information and the business processing strategy dimension database to obtain a business processing strategy similarity set; Step S640: Sort the similarity set of the business processing strategies by similarity and filter out the target software business processing strategies.

[0025] In one embodiment, the step S630 of this application further includes obtaining the business processing strategy similarity set: Step S631: Use the cosine similarity algorithm to calculate the similarity between the business feature dimension information and the business processing strategy dimension database to obtain an initial processing strategy similarity set; Step S632: Based on the initial processing strategy similarity set, filter the business processing strategy dimension database to obtain the initial business processing strategy set; Step S633: Calculate and score the business feature dimension information and the initial business processing strategy set using a similarity coefficient algorithm to obtain the business processing strategy similarity set.

[0026] Specifically, a similarity algorithm is used to analyze the similarity between the set of business feature values ​​and the enterprise software business processing strategy database to match personalized business data processing strategies. First, business data feature dimension information is set, which refers to the data feature dimension types and their order of number when performing business logic matching. Based on this business data feature dimension information, the set of business feature values ​​and the enterprise software business processing strategy database are arranged and integrated. This involves arranging the business feature data in both databases according to their business feature dimensions, resulting in integrated business feature dimension information and a business processing strategy dimension database, thereby improving the efficiency of subsequent processing logic matching.

[0027] A similarity algorithm is used to calculate the similarity between the business feature dimension information and the business processing strategy dimension database. First, a cosine similarity algorithm is used to calculate the similarity between the two databases. The specific calculation formula is as follows: , in the formula This represents the feature dimension in the aforementioned business feature dimension information. The feature dimensions representing each data point in the business processing strategy dimension database are used to calculate the similarity of each data point in turn, thus obtaining the initial processing strategy similarity set. Then, based on this initial processing strategy similarity set, the business processing strategy dimension database is filtered, specifically, data processing strategies with similarity scores above a preset similarity score, such as those with a similarity score of 80% or higher, to obtain the initial business processing strategy set.

[0028] To ensure the accuracy of similarity matching, a similarity coefficient algorithm is used to recalculate and score the business feature dimension information and the initial business processing strategy set. The preferred similarity coefficient algorithm is the Jaccard similarity coefficient algorithm. This calculates a set of similarities between each feature data in the initial business processing strategy set and the business processing strategy in the business feature dimension information. The similarity set of business processing strategies is then sorted by similarity in descending order, and the processing strategy with the highest similarity is selected as the target software business processing strategy.

[0029] Step S700: Perform business processing on the business information to be processed based on the target software business processing strategy, obtain business processing feedback data, and perform business optimization management based on the business processing feedback data.

[0030] In one embodiment, the application step S700, which involves performing business optimization management based on the business processing feedback data, further includes: Step S710: Evaluate the business management effectiveness based on the business processing feedback data to obtain the business management effectiveness coefficient; Step S720: Generate a business optimization control factor based on the difference between the business management effectiveness coefficient and the preset management effectiveness coefficient; Step S730: Optimize and manage the target software business processing strategy based on the business optimization and control factors.

[0031] Specifically, the business information to be processed is processed based on the target software business processing strategy, and corresponding business processing feedback data is obtained. This feedback data includes feedback on the business data processing progress and efficiency. Business optimization management is then performed based on this feedback data. The effectiveness of business management is evaluated by statistically analyzing the processing efficiency and accuracy, resulting in a business management effectiveness coefficient. A higher coefficient indicates better business management effectiveness.

[0032] Based on the difference between the business management effectiveness coefficient and the preset management effectiveness coefficient, a business optimization control factor is generated. The preset management effectiveness coefficient is a preset expected value for business processing, which can be set by the user. The business optimization control factor represents the degree of optimization of the business processing logic required to achieve the preset expected effect. Based on the business optimization control factor, the business processing strategy of the target software is optimized and controlled. For example, if the business processing accuracy is low, interactive decision-making can be implemented in the processing flow to improve the accuracy. This enables personalized matching of business processing logic, improves the intelligence and targeting of business processing in enterprise management software, increases business processing accuracy, and ultimately improves business management efficiency. In one embodiment, such as Figure 3 As shown, a business management system for enterprise management software is provided, including: a business data information acquisition module 11, a business processing logic relationship acquisition module 12, a business processing strategy database construction module 13, a business information acquisition module to be processed module 14, a feature point classification and labeling module 15, a similarity analysis module 16, and a business optimization management module 17, wherein: The business data information acquisition module 11 is used to acquire business data information of enterprise management software, which includes business characteristic data and business processing information. The business processing logic relationship acquisition module 12 is used to obtain the business feature-business processing logic relationship based on the business feature data and business processing information. The business processing strategy database construction module 13 is used to construct an enterprise software business processing strategy database based on the business characteristics-business processing logic relationship. The pending business information acquisition module 14 is used to collect pending business information through enterprise management software. The feature point classification and labeling module 15 is used to classify and label the business feature points of the business information to be processed to obtain a set of business feature values. Similarity analysis module 16 is used to perform similarity analysis on the business feature value set and the enterprise software business processing strategy database using a similarity algorithm, and output the target software business processing strategy; The business optimization management module 17 is used to perform business processing on the business information to be processed based on the target software business processing strategy, obtain business processing feedback data, and perform business optimization management based on the business processing feedback data.

[0033] In one embodiment, the system further includes: A data attribute marking unit is used to mark the business feature data with attributes to obtain business feature attribute information; The preset hierarchical division rule determination unit is used to determine the preset hierarchical division rule based on the enterprise business management standards and the business characteristic attribute information; The feature data segmentation unit is used to segment the business feature data based on the preset hierarchical segmentation rules to obtain business feature hierarchical information; A data clustering and partitioning unit is used to cluster and partition the business feature data according to the business feature attribute information and the business feature hierarchy information to obtain business feature data clustering information. The business processing information association analysis unit is used to perform association analysis based on the business feature data clustering information and the business processing information to obtain the business feature-business processing logical relationship.

[0034] In one embodiment, the system further includes: The business characteristic factor determination unit is used to determine business characteristic factor information based on the enterprise business management standards. The data-level coordinate system construction unit is used to construct a data-level coordinate system based on the business feature factor information. The data-level coordinate system is a multi-dimensional coordinate system, and the coordinate axes correspond one-to-one with the business feature factor information. A region labeling classification unit is used to perform region labeling classification on the data hierarchy coordinate system to obtain region labeling classification results; The partitioning rule determination unit is used to determine the preset hierarchical partitioning rule based on the region label classification result.

[0035] In one embodiment, the system further includes: A business feature classification unit is used to classify the business information to be processed by business features and obtain business feature classification attribute information. A hierarchical marking unit is used to mark the business information to be processed hierarchically based on the preset hierarchical division rules to obtain the hierarchical level of business feature attributes. An interactive mapping unit is used to interactively map the business feature classification attribute information and the business feature attribute hierarchy to generate a business feature interactive network. The business feature value set acquisition unit is used to obtain the business feature value set based on the marked points on the business feature interaction network.

[0036] In one embodiment, the system further includes: The business data feature dimension setting unit is used to set business data feature dimension information; The dimension arrangement and integration unit is used to arrange and integrate the set of business feature values ​​and the enterprise software business processing strategy database based on the business data feature dimension information to obtain business feature dimension information and business processing strategy dimension database. The similarity calculation unit is used to perform similarity calculation on the business feature dimension information and the business processing strategy dimension database using a similarity algorithm to obtain a business processing strategy similarity set. The similarity ranking unit is used to rank the similarity set of the business processing strategies and filter and output the target software business processing strategies.

[0037] In one embodiment, the system further includes: The cosine similarity calculation unit is used to perform similarity calculation on the business feature dimension information and the business processing strategy dimension database using the cosine similarity algorithm to obtain an initial processing strategy similarity set. A business processing strategy filtering unit is used to filter the business processing strategy dimension database based on the initial processing strategy similarity set to obtain an initial business processing strategy set. The similarity coefficient calculation unit is used to calculate and score the business feature dimension information and the initial business processing strategy set using a similarity coefficient algorithm to obtain the business processing strategy similarity set.

[0038] In one embodiment, the system further includes: The business management effectiveness evaluation unit is used to evaluate the business management effectiveness based on the business processing feedback data and obtain the business management effectiveness coefficient. The business optimization control factor generation unit is used to generate a business optimization control factor based on the difference between the business management effect coefficient and the preset management effect coefficient. An optimization and control management unit is used to optimize and control the target software business processing strategy based on the business optimization and control factors.

[0039] For a specific embodiment of the business management system of an enterprise management software, please refer to the embodiment of the business management method of an enterprise management software described above, which will not be repeated here. Each module in the business management device of the aforementioned enterprise management software can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or it can be stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0040] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores news data and data such as time decay factors. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a business management method for enterprise management software.

[0041] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0042] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: acquiring business data information of enterprise management software, the business data information including business feature data and business processing information; obtaining a business feature-business processing logical relationship based on the business feature data and business processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logical relationship; collecting and acquiring business information to be processed through enterprise management software; classifying and labeling the business information to be processed by business feature points to obtain a set of business feature values; performing similarity analysis on the set of business feature values ​​and the enterprise software business processing strategy database using a similarity algorithm, and outputting a target software business processing strategy; performing business processing on the business information to be processed based on the target software business processing strategy, obtaining business processing feedback data, and performing business optimization management based on the business processing feedback data.

[0043] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When executed by a processor, the computer program performs the following steps: acquiring business data information of enterprise management software, the business data information including business feature data and business processing information; obtaining a business feature-business processing logical relationship based on the business feature data and business processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logical relationship; collecting and acquiring business information to be processed through enterprise management software; classifying and marking the business information to be processed by business feature points to obtain a set of business feature values; performing similarity analysis on the set of business feature values ​​and the enterprise software business processing strategy database using a similarity algorithm, and outputting a target software business processing strategy; performing business processing on the business information to be processed based on the target software business processing strategy, obtaining business processing feedback data, and performing business optimization management based on the business processing feedback data. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0044] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A business management method for enterprise management software, characterized in that, The method includes: Acquire business data information from enterprise management software, wherein the business data information from enterprise management software includes business characteristic data and business processing information; Based on the business feature data and business processing information, the business feature-business processing logical relationship is obtained; Based on the aforementioned business characteristics and business processing logic relationship, an enterprise software business processing strategy database is constructed. Collect and obtain business information to be processed through enterprise management software; The business information to be processed is classified and labeled with business feature points to obtain a set of business feature values; A similarity algorithm is used to perform similarity analysis on the set of business feature values ​​and the database of enterprise software business processing strategies, and the target software business processing strategy is output. Based on the target software business processing strategy, the business information to be processed is processed to obtain business processing feedback data, and business optimization management is performed based on the business processing feedback data. The acquisition of the business feature-business processing logic relationship includes: The business feature data is labeled with attributes to obtain business feature attribute information; Based on the enterprise business management standards and the aforementioned business characteristic attribute information, a preset hierarchical division rule is determined; The business feature data is divided based on the preset hierarchical division rules to obtain business feature hierarchical information; The business feature data is clustered and divided according to the business feature attribute information and the business feature hierarchy information to obtain business feature data clustering information. Based on the clustering information of the business feature data and the business processing information, a correlation analysis is performed to obtain the logical relationship between the business features and the business processing. The set of business feature values ​​obtained includes: The business information to be processed is classified by business features to obtain business feature classification attribute information; Based on the preset hierarchical division rules, the business information to be processed is hierarchically marked to obtain the business feature attribute hierarchy; The business feature classification attribute information and the business feature attribute hierarchy are interactively mapped to generate a business feature interaction network. Based on the marked points on the business feature interaction network, the set of business feature values ​​is obtained.

2. The method as described in claim 1, characterized in that, The determination of the preset hierarchical division rules includes: Based on the aforementioned enterprise business management standards, determine the business characteristic factor information; Based on the business characteristic factor information, a data-level coordinate system is constructed. The data-level coordinate system is a multi-dimensional coordinate system, and the coordinate axes correspond one-to-one with the business characteristic factor information. The data hierarchy coordinate system is classified into regions using regional labels to obtain the regional label classification results; Based on the region label classification results, the preset hierarchical division rules are determined.

3. The method as described in claim 1, characterized in that, The output target software business processing strategy includes: Configure business data feature dimensions; Based on the business data feature dimension information, the business feature value set and the enterprise software business processing strategy database are arranged and integrated to obtain business feature dimension information and business processing strategy dimension database. A similarity algorithm is used to calculate the similarity between the business feature dimension information and the business processing strategy dimension database to obtain a business processing strategy similarity set. The similarity set of the business processing strategies is sorted by similarity, and the target software business processing strategies are filtered and output.

4. The method as described in claim 3, characterized in that, The obtained business processing strategy similarity set includes: The cosine similarity algorithm is used to calculate the similarity between the business feature dimension information and the business processing strategy dimension database to obtain an initial processing strategy similarity set; The business processing strategy dimension database is filtered based on the initial processing strategy similarity set to obtain the initial business processing strategy set; The similarity coefficient algorithm is used to calculate and score the business feature dimension information and the initial set of business processing strategies to obtain the similarity set of business processing strategies.

5. The method as described in claim 1, characterized in that, The business optimization management based on the business processing feedback data includes: Based on the business processing feedback data, the business management effectiveness is evaluated to obtain a business management effectiveness coefficient. Based on the difference between the business management effectiveness coefficient and the preset management effectiveness coefficient, a business optimization and control factor is generated; The target software business processing strategy is optimized and managed based on the business optimization and control factors.

6. A business management system for enterprise management software, characterized in that, The system includes: The business data information acquisition module is used to acquire business data information from enterprise management software, including business characteristic data and business processing information. The business processing logic relationship acquisition module is used to obtain the business feature-business processing logic relationship based on the business feature data and business processing information. The business processing strategy database construction module is used to construct an enterprise software business processing strategy database based on the business characteristics-business processing logic relationship. The pending business information acquisition module is used to collect pending business information through enterprise management software. The feature point classification and labeling module is used to classify and label the business feature points of the business information to be processed, and obtain a set of business feature values. The similarity analysis module is used to perform similarity analysis on the set of business feature values ​​and the enterprise software business processing strategy database using a similarity algorithm, and output the target software business processing strategy. The business optimization management module is used to process the business information to be processed based on the target software business processing strategy, obtain business processing feedback data, and perform business optimization management based on the business processing feedback data. A data attribute marking unit is used to mark the business feature data with attributes to obtain business feature attribute information; The preset hierarchical division rule determination unit is used to determine the preset hierarchical division rule based on the enterprise business management standards and the business characteristic attribute information; The feature data segmentation unit is used to segment the business feature data based on the preset hierarchical segmentation rules to obtain business feature hierarchical information; A data clustering and partitioning unit is used to cluster and partition the business feature data according to the business feature attribute information and the business feature hierarchy information to obtain business feature data clustering information. The business processing information correlation analysis unit is used to perform correlation analysis based on the business feature data clustering information and the business processing information to obtain the business feature-business processing logical relationship. A business feature classification unit is used to classify the business information to be processed by business features and obtain business feature classification attribute information. A hierarchical marking unit is used to mark the business information to be processed hierarchically based on the preset hierarchical division rules to obtain the hierarchical level of business feature attributes. An interactive mapping unit is used to interactively map the business feature classification attribute information and the business feature attribute hierarchy to generate a business feature interactive network. The business feature value set acquisition unit is used to obtain the business feature value set based on the marked points on the business feature interaction network.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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