A BSC-based enterprise target data processing method and device and related medium

Abstract

The application discloses a kind of based on BSC's enterprise target data processing method, device and related medium, the method comprises: obtaining organizational structure information by system;Multiple target models are configured by system;The total target of the current level organization is decomposed into multiple organizational targets by BSC, and multiple organizational targets are respectively subjected to first target description training;Sub-organizational targets prepared by next level organization are obtained, and multiple sub-organizational targets are respectively subjected to second target description training;The sub-organizational target is established by ACK with the corresponding undertaking relationship of the organizational target;The sub-organizational target and the organizational target are traversed by the traversal scanning of N-ary tree, and form target map.The application embodiment is decomposed based on BSC's target, and is associated with various rich target models built in system, improves the correlation accuracy between target and target in enterprise, and can realize target map intuitive presentation, and it is convenient to view.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of enterprise digital management, in particular to a BSC-based enterprise target data processing method and device and related medium. BACKGROUND

[0002] On the one hand, the existing enterprise strategic target and organization performance management are more focused on the method and theory level, and the management still relies on simple system forms. Some enterprises use target models, but are limited to using a single target model. The means are not rich enough, and the systematization is insufficient. For personnel management, the separation between upper and lower organizations or between organizations and individuals is serious. The achievement of the performance of a sub-organization or an individual does not necessarily guarantee the performance of the superior organization. In fact, if the target of an organization is decomposed to each subordinate organization or individual according to rules and logic, the target of the organization will be achieved as long as the target of each organization or individual is achieved.

[0003] On the other hand, the existing enterprise strategic target and organization performance management are more focused on short-term behavior and financial indicators, and do not keep pace with the times. The balance between short-term and long-term, financial and non-financial, result and cause, and leading and lagging targets limits the development of the enterprise. The difficulty of enterprise target management is that the targets are not single-dimensional or single-layered, and there is overlap or conflict between targets. If the final target of an organization is diverse, the short-term target and sub-targets of the organization will also have a high probability of diversity, even overlap. If the importance of various targets can be divided by percentage in a linear manner, the implementation of enterprise strategic targets will not be difficult, but in fact, the different types and different performance requirements of targets make it difficult to measure the decomposition, combination, evaluation and completion of targets, resulting in some management distortions. SUMMARY

[0004] The embodiments of the present application provide a BSC-based enterprise target data processing method, device and related medium, aiming to improve the correlation accuracy between targets in an enterprise.

[0005] In a first aspect, the embodiments of the present application provide a BSC-based enterprise target data processing method, comprising:

[0006] Obtaining organization structure information through system integration or import, the organization structure information comprising: multi-level organization information of the enterprise and personnel information of each level of organization;

[0007] Configuring a plurality of target models through the system;

[0008] The total target of the current level organization is decomposed into a plurality of organization targets by BSC, the first target description training is performed on the plurality of organization targets respectively, and the corresponding target model is selected according to the result of the first target description training;

[0009] The sub-organization target formulated by the next level organization is acquired, the second target description training is performed on the plurality of sub-organization targets respectively, and the corresponding target model is selected according to the result of the second target description training;

[0010] The sub-organization target is acquired, the corresponding undertaking relationship is established between the sub-organization target and the organization target through ACK, the target ID of the next level organization and the target ID of the current level organization are bound and a mapping relationship is formed, and the mapping relationship is stored;

[0011] The sub-organization target and the organization target are traversed through the traversal scanning of the N-ary tree, and a target map is formed.

[0012] In a second aspect, an enterprise target data processing device based on BSC is provided, comprising:

[0013] An information acquisition unit is configured to acquire organizational structure information by system integration or import, wherein the organizational structure information comprises multi-level organization information and personnel information of each level of the organization;

[0014] A configuration unit is configured to configure a plurality of target models by system configuration;

[0015] A first training unit is configured to decompose the total target of the current level organization into a plurality of organization targets by BSC, perform the first target description training on the plurality of organization targets respectively, and select the corresponding target model according to the result of the first target description training;

[0016] A second training unit is configured to acquire the sub-organization target formulated by the next level organization, perform the second target description training on the plurality of sub-organization targets respectively, and select the corresponding target model according to the result of the second target description training;

[0017] A connection unit is configured to acquire the sub-organization target, establish the corresponding undertaking relationship between the sub-organization target and the organization target through ACK, bind the target ID of the next level organization and the target ID of the current level organization, form a mapping relationship, and store the mapping relationship;

[0018] A scanning unit is configured to traverse the sub-organization target and the organization target through the traversal scanning of the N-ary tree, and form a target map.

[0019] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the BSC-based enterprise target data processing method according to the first aspect when executing the computer program.

[0020] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, and the computer program is executable on a processor to implement the BSC-based enterprise target data processing method according to the first aspect.

[0021] An embodiment of the present application provides a BSC-based enterprise target data processing method, device and related medium, the method comprising: obtaining organizational structure information through system integration or import, the organizational structure information comprising: multi-level organizational information of an enterprise and personnel information of each level of organization; configuring a plurality of target models through a system; decomposing a total target of a current level of organization into a plurality of organizational targets through BSC, and performing first target description training on the plurality of organizational targets respectively; and selecting a corresponding target model according to a result of the first target description training; obtaining sub-organizational targets formulated by a next level of organization, performing second target description training on the plurality of sub-organizational targets respectively; selecting a corresponding target model according to a result of the second target description training; obtaining the sub-organizational targets through ACK to establish a corresponding undertaking relationship with the organizational targets, and binding a target ID of the next level of organization and a target ID of the current level of organization to form a mapping relationship, and storing the mapping relationship; and traversing the sub-organizational targets and the organizational targets through traversal scanning of an N-ary tree to form a target map. An embodiment of the present application improves the correlation accuracy between targets in an enterprise by decomposing targets based on BSC and cooperating with various rich target models built in a system, and can realize intuitive presentation of a target map, facilitating viewing. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0023] Figure 1 A flowchart of a BSC-based enterprise target data processing method provided by an embodiment of the present application is shown in the figure.

[0024] Figure 2 A target description training flowchart provided by an embodiment of the present application is shown in the figure.

[0025] Figure 3 A flowchart illustrating the BSC-based enterprise target data processing method provided in this embodiment of the invention;

[0026] Figure 4 This is a schematic block diagram of a BSC-based enterprise target data processing device provided in an embodiment of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0029] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0030] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0031] Please see below. Figure 1 , Figure 1 The flowchart of a BSC-based enterprise target data processing method provided in this embodiment of the invention specifically includes steps S101 to S106.

[0032] S101. Obtain organizational structure information through system integration or import, wherein the organizational structure information includes: multi-level organizational information of the enterprise and personnel information of each level of the organization;

[0033] S102. Configure multiple target models through the system;

[0034] S103, disassemble the total target of the current level organization into a plurality of organization targets by the BSC, respectively perform first target description training on the plurality of organization targets, and select the corresponding target model according to the result of the first target description training;

[0035] S104, obtain sub-organization targets formulated by a next level organization, respectively perform second target description training on the plurality of sub-organization targets, and select the corresponding target model according to the result of the second target description training;

[0036] S105, obtain the sub-organization targets through ACK and the organization targets to establish a corresponding undertaking relationship, bind the target ID of the next level organization and the target ID of the current level organization and form a mapping relationship, and store the mapping relationship;

[0037] S106, traverse the sub-organization targets and the organization targets through N-ary tree traversal scanning to form a target map.

[0038] In this embodiment, first, the organizational structure information is obtained through system integration or import, and the organizational structure information includes: multi-level organization information of an enterprise and personnel information of each level of organization; The integration or import method adopted here is an optional method for obtaining organizational structure information in this embodiment, and in actual cases, methods such as docking can also be used to obtain information; After obtaining the relevant organizational structure information, the target model is pre-configured for subsequent use; It should be noted that there can be multiple configurations of target models, such as: MBO (goal management), OKR (objectives and key results), KPI (key performance indicators), KPA (key result areas), 360 (360-degree leadership model), PBC (personal performance commitment), dual-track system (two different systems running in parallel), key tasks, key projects, values, etc.; The corresponding target model can also be added or deleted according to actual needs, and the ultimate goal is to process enterprise target data using target models.

[0039] Further, after the target model is configured, the total target of the current level organization can be decomposed into multiple organization targets through the BSC. The BSC is a common performance evaluation method, which decomposes the target through four dimensions (finance, customer, business process, learning and growth), and then respectively performs first target description training on the multiple organization targets, and selects the corresponding target model according to the result of the first target description training. Here, the target model given after training is only a recommended target model, and if the target model does not meet the current demand, other target models can also be selected. After the first target description training is completed, the next step is to obtain the sub-organization targets formulated by the next level organization, and respectively perform second target description training on the multiple sub-organization targets. According to the result of the second target description training, the corresponding target model is selected. Similarly, the target model given after training here is only a recommended target model, which can also be modified according to the demand. The sub-organization targets are obtained, and the corresponding ACK is established with the organization targets. Here, the ACK is a confirmation character. After the online communication between the current level organization and the next level organization, the final undertaking relationship is ACK confirmed by the current level organization, and the target ID of the next level organization and the target ID of the current level organization are bound and a mapping relationship is formed, and the mapping relationship is stored for subsequent data processing. The last step of data processing is to scan the sub-organization targets and the organization targets through N-ary tree traversal, and form a target map. After the target map is formed, the target correlation between the current level organization and the next level organization can be clearly and intuitively understood, which greatly improves the reliability of target achievement, and thus releases the enterprise execution force and makes the team resources more useful.

[0040] In an embodiment, the target description training in the S103 and the S104 includes:

[0041] Text preprocessing of Chinese word segmentation, part-of-speech tagging, and virtual word filtering on the target description text;

[0042] Text feature selection, feature weight calculation, and representation model generation on the preprocessed text;

[0043] Creating a classifier, and performing classifier training and classifier evaluation.

[0044] In combination with Figure 2As shown, in the embodiment, the target description is trained according to the target description, text preprocessing is performed, and the text preprocessing is divided into three processing links, namely Chinese word segmentation, part-of-speech tagging and virtual word filtering; text representation is performed, and the text representation is also divided into three processing links, namely text feature selection, feature weight calculation and representation model generation; a classifier is created, that is, classifier training and classifier evaluation; finally, a target model suggestion is given; it should be noted that the early stage of target training is manual selection of a target model, and after multiple training, the system will gradually establish a relationship between the target description and the known target model based on the semantic understanding of the target description based on NLP (natural language processing) text classification, so that the target description and the known target model are related, and after the target model is stable, when the target description is input again, the system can automatically give a target type suggestion through target training; for the NLP text classification adopted, if a better technology is used to replace it, the application is also applicable, and the NLP text classification is used, so that it becomes easier to set a target, and it is no longer necessary to worry about whether the task should be managed and evaluated in a target mode, and after the NLP text classification, a relationship between the target description and the suggested target type can be established.

[0045] In an embodiment, the S105 comprises:

[0046] The bearing relationship includes complete bearing and partial bearing; the enterprise target data processing method based on BSC further comprises: when the next level organization selects complete bearing, a complete bearing label is automatically generated, and the target state of the current level organization is set to meet the completion requirement; when the next level organization selects partial bearing, a partial bearing label is automatically generated, and it is judged whether the next level organization meets the condition, if the condition is met, the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up; if the condition is not met, the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up after the next level organization is assigned by the current level organization to perform a target bearing supplement operation.

[0047] In combination with Figure 3As shown, in the embodiment, after the organization A target is disassembled, the organizations confirm the undertaking relationship, when the next level organization selects complete undertaking, then the complete undertaking label is automatically generated, and the target state of the current level organization is set to meet the completion requirement, indicating that the current level organization confirms the selection of the next level organization; employee A and employee B in the embodiment are equivalent to the next level organization, and organization A is the current level organization, here employee is used for the convenience of understanding, and actual operation can be modified according to requirements; when the next level organization selects partial undertaking, a partial undertaking label is automatically generated, and whether the next level organization meets the condition is judged, the condition here can be limited according to actual needs; if the condition is met, the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up; if the condition is not met, the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up after the next level organization is assigned by the current level organization to perform the operation of target undertaking supplement; when the target state is set to completion requirement and follow up, it indicates that the current level organization needs to further confirm the next level organization, so as to ensure the stability and accuracy of the undertaking relationship.

[0048] In an embodiment, the BSC-based enterprise target data processing method further comprises: when the next level organization does not select complete undertaking or partial undertaking, the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up after the next level organization is assigned by the current level organization to perform the operation of target undertaking supplement; when selecting the undertaking relationship, it is possible that the next level organization does not select any undertaking relationship label, at this time, the current level organization needs to assign and distribute target undertaking, and the target state of the current level organization is set to meet the completion requirement or meet the completion requirement and follow up.

[0049] In an embodiment, the organization target and the sub-organization target are respectively scored by NLP, and the organization target and the sub-organization target with a similarity higher than a threshold value are counted and presented; based on the text similarity analysis ability of NLP, the target task in each organization can be reduced to reduce resource waste; the threshold value here is set according to actual conditions, which does not affect the algorithm processing; the application can also be replaced by other ways instead of NLP, which can be selected according to actual conditions.

[0050] In an embodiment, the S106 comprises:

[0051] The whole organization tree and the target disintegration tree of each level of organization in the whole organization tree are scanned through the traversal scanning of the N-ary tree to form a target map; after each level of organization determines its own target, the system can perform traversal scanning through the N-ary tree, the N-ary tree has various types such as a binary tree, a B-ary tree and the like, and mainly can realize traversal scanning; then the whole organization tree and the target disintegration tree of each organization are quickly traversed to form a target map, which is convenient for viewing and management.

[0052] In combination Figure 4 As shown, Figure 4 A schematic block diagram of an enterprise target data processing device based on BSC is provided for an embodiment of the present application, and the target data processing device 400 comprises:

[0053] An information acquisition unit 401 is configured to acquire organizational structure information through system integration or import, and the organizational structure information comprises multi-level organization information and personnel information of each level of organization of an enterprise;

[0054] A configuration unit 402 is configured to configure a plurality of target models through a system;

[0055] A first training unit 403 is configured to disintegrate a total target of a current level of organization into a plurality of organization targets through BSC, to perform first target description training on the plurality of organization targets respectively, and to select a corresponding target model according to a result of the first target description training;

[0056] A second training unit 404 is configured to acquire sub-organization targets formulated by a next level of organization, to perform second target description training on the plurality of sub-organization targets respectively, and to select a corresponding target model according to a result of the second target description training;

[0057] A connection unit 405 is configured to acquire the sub-organization targets, to establish a corresponding bearing relationship between the sub-organization targets and the organization targets through ACK, to bind a target ID of the next level of organization and a target ID of the current level of organization and form a mapping relationship, and to store the mapping relationship;

[0058] A scanning unit 406 is configured to perform traversal on the sub-organization targets and the organization targets through the traversal scanning of the N-ary tree to form a target map.

[0059] In the embodiment, the information acquisition unit 401 first acquires the organization structure information through system integration or import, the configuration unit 402 configures the related target model, the first training unit 403 and the second training unit 404 respectively perform target description training, the connection unit 405 binds the target ID of the next level organization and the target ID of the current level organization, forms a mapping relationship, and stores the mapping relationship; finally, the scanning unit 406 can traverse the sub-organization target and the organization target to form a target map for viewing and management.

[0060] Further, the target data processing device 400 further comprises:

[0061] The statistical unit is configured to score the similarity of the organization target and the sub-organization target through NLP, and count and present the organization target and the sub-organization target with a similarity higher than a threshold.

[0062] Since the embodiments of the device part correspond to the embodiments of the method part, the embodiments of the device part are described in the description of the embodiments of the method part, and will not be described here.

[0063] The embodiment of the application further provides a computer readable storage medium, which has a computer program stored thereon, and the computer program can implement the steps provided by the above embodiment when executed. The storage medium can include: a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and various storage program codes.

[0064] The embodiment of the application further provides a computer device, which can include a memory and a processor, the memory has a computer program stored therein, and the processor can implement the steps provided by the above embodiment when calling the computer program in the memory. Of course, the computer device can also include various network interfaces, power supplies and other components.

[0065] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be referred to the method part. It should be pointed out that for ordinary skilled in the art, without departing from the principles of the application, some improvements and modifications can be made to the application, and these improvements and modifications also fall within the protection scope of the claims of the application.

[0066] It is further noted that the terminology "first", "second" and the like used in the specification are merely used for differentiating one entity or action from another, and do not necessarily imply any actual physical or logical relationship or order between such entities or actions. Moreover, the use of the term "including", "containing" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements is not required to comprise only those elements but can include other elements not expressly listed or inherent to such process, method, article or apparatus. An element preceded by "comprises a..." does not, without further restriction, preclude the existence of additional elements of the same nature as those recited.

Claims

1. A method for processing data of an enterprise objective based on BSC, characterized by, The method comprises the following steps: Obtaining organizational structure information through system integration or import, wherein the organizational structure information comprises multi-level organizational information and personnel information of each level of the enterprise; Configuring multiple target models through the system; Decomposing the total target of the current level of organization into multiple organizational targets through BSC, and performing first target description training on the multiple organizational targets respectively; and selecting the corresponding target model according to the result of the first target description training; Obtaining sub-organizational targets formulated by the next level of organization, performing second target description training on the multiple sub-organizational targets respectively, and selecting the corresponding target model according to the result of the second target description training; Establishing a corresponding undertaking relationship between the sub-organizational targets and the organizational targets through ACK, binding the target ID of the next level of organization and the target ID of the current level of organization to form a mapping relationship, and storing the mapping relationship; Performing traversal on the sub-organizational targets and the organizational targets through N-ary tree traversal scanning to form a target map; The first target description training and the second target description training both comprise the following steps: preprocessing the text of target description through Chinese word segmentation, part-of-speech tagging and null word filtering; performing text feature selection, feature weight calculation and representation model generation on the preprocessed text; creating a classifier, and performing classifier training and classifier evaluation; The undertaking relationship comprises complete undertaking and partial undertaking; the BSC-based enterprise target data processing method further comprises the following steps: when the next level of organization chooses complete undertaking, a complete undertaking label is automatically generated, and the target state of the current level of organization is set to meet the completion requirement; when the next level of organization chooses partial undertaking, a partial undertaking label is automatically generated, and it is judged whether the next level of organization meets the condition; if the condition is met, the target state of the current level of organization is set to meet the completion requirement or meet the completion requirement and follow up; if the condition is not met, the target state of the current level of organization is set to meet the completion requirement or meet the completion requirement and follow up after the next level of organization is assigned by the current level of organization to perform target undertaking supplement operation; Performing similarity scoring on the organizational targets and the sub-organizational targets through NLP, and performing statistics and presenting the organizational targets and the sub-organizational targets with a similarity higher than a threshold value.

2. The BSC-based business objective data processing method of claim 1, wherein, The BSC-based enterprise target data processing method further comprises the following steps: when the next level of organization does not choose complete undertaking or partial undertaking, the target state of the current level of organization is set to meet the completion requirement or meet the completion requirement and follow up after the next level of organization is assigned by the current level of organization to perform target undertaking supplement operation.

3. The BSC-based enterprise goal data processing method of claim 1, wherein, The traversal of the sub-organizational targets and the organizational targets through N-ary tree traversal scanning to form a target map comprises the following steps: Scanning the entire organizational tree and the target decomposition tree of each level of organization in the entire organizational tree through N-ary tree traversal scanning to form a target map.

4. A BSC-based enterprise goal data processing apparatus characterized by comprising: The method comprises the following steps: An information acquisition unit is configured to acquire organizational structure information through system integration or import, wherein the organizational structure information comprises multi-level organizational information and personnel information of each level of the enterprise; A configuration unit is configured to configure a plurality of target models through a system; A first training unit is configured to decompose a total target of a current level organization into a plurality of organization targets through BSC, and perform first target description training on the plurality of organization targets respectively; and select a corresponding target model according to a result of the first target description training; A second training unit is configured to obtain sub-organization targets formulated by a next level organization, and perform second target description training on the plurality of sub-organization targets respectively; and select a corresponding target model according to a result of the second target description training; A connection unit is configured to obtain a corresponding undertaking relationship between the sub-organization targets and the organization targets through ACK, and bind and form a mapping relationship between a target ID of the next level organization and a target ID of the current level organization, and store the mapping relationship; A scanning unit is configured to perform traversal scanning on the sub-organization targets and the organization targets through an N-ary tree, and form a target map; The first training unit and the second training unit are both configured to perform preprocessing of Chinese word segmentation, part-of-speech tagging, and null word filtering on a target description text; perform text feature selection, feature weight calculation, and representation model generation on the preprocessed text; create a classifier, and perform classifier training and classifier evaluation; The undertaking relationship includes complete undertaking and partial undertaking; the BSC-based enterprise target data processing apparatus is further configured to, when the next level organization selects complete undertaking, automatically generate a complete undertaking label, and set a target state of the current level organization as meeting a completion requirement; when the next level organization selects partial undertaking, automatically generate a partial undertaking label, and judge whether the next level organization meets a condition, if yes, set the target state of the current level organization as meeting the completion requirement or meeting the completion requirement and following up; if not, perform a target undertaking supplement operation on the next level organization according to the current level organization, and then set the target state of the current level organization as meeting the completion requirement or meeting the completion requirement and following up; perform similarity scoring on the organization targets and the sub-organization targets through NLP, and perform statistics and present the organization targets and the sub-organization targets with a similarity higher than a threshold value.

5. A computer device, comprising: A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the BSC-based enterprise target data processing method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the BSC-based enterprise target data processing method according to any one of claims 1 to 3.

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