Index system construction method, device, equipment and medium

Abstract

The invention relates to the technical field of resource management, in particular to an index system construction method and device, equipment and a medium, and the method comprises the steps: simulating the working condition of a business scene through an OSM model, so as to obtain a plurality of feature indexes corresponding to a preset feature item of an enterprise, and obtaining the business performance index of each feature index according to the business performance index of each feature index; and performing service disassembly on each feature index by combining a target service analysis model formed based on a UJM model, an AAARR model and an AIPL model to obtain a first-level quantization target and a Dupont disassembly quantization target so as to obtain a second-level quantization target according to the service process of each feature index. The first strategy scheme corresponding to the first-level quantization target and the second strategy scheme corresponding to the Dupont disassembly quantization target are determined by using the preset resource rule, and the indexes are subjected to hierarchical design in combination with the preset principle to realize the construction of the panoramic index system, so that the accuracy of the index system construction is improved, and the construction efficiency is improved. And the management effect of the enterprise is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of resource management, and in particular to an indicator system construction method, device, equipment and medium. Background Art

[0002] With the rapid development of the domestic economy, many group companies are engaged in a variety of businesses (for example, banking, credit card, insurance, securities, etc.). In order to facilitate system maintenance and management, these group companies have established a scientific and effective indicator system for related businesses. This indicator system is generated to be applied to actual business to help achieve business goals and increase performance.

[0003] However, traditional indicator systems usually determine key indicators based on subjective experience and judgment of business management, lacking in-depth analysis of actual business scenarios and data. Although this highly subjective method is relatively simple to operate, it may ignore some important influencing factors, resulting in inaccurate construction of the indicator system and difficulty in truly reflecting the business operation status. Summary of the invention

[0004] Based on this, it is necessary to address the above technical issues. The embodiments of the present invention provide an indicator system construction method, device, equipment and medium to solve the technical problem that the indicator system construction in the prior art is not accurate enough.

[0005] A first aspect of an embodiment of the present application provides an indicator system construction method, the indicator system construction method comprising: The OSM model is used to simulate the working conditions of business scenarios to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise; According to the business performance indicators of each characteristic indicator, each characteristic indicator is input into the target business analysis model for business decomposition to obtain the first-level quantitative target and the DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model; According to the business process of each characteristic indicator, the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target are determined respectively by using the preset resource rules; Based on the preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target, a panoramic indicator system is constructed based on business logic.

[0006] A second aspect of an embodiment of the present application provides an indicator system construction device, the indicator system construction device comprising: The acquisition module is used to simulate the working conditions of the business scenario through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise; A module is used to input each characteristic indicator into a target business analysis model for business decomposition according to the business performance indicators of each characteristic indicator, so as to obtain a first-level quantitative target and a DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model; A determination module, for determining the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target respectively according to the business process of each characteristic indicator and using preset resource rules; The construction module is used to construct a panoramic indicator system in business logic based on preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target.

[0007] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the indicator system construction method as described in the first aspect when executing the computer program.

[0008] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for constructing an indicator system as described in the first aspect is implemented.

[0009] In summary, the present invention provides an indicator system construction method, device, equipment and medium, which simulates the working conditions of business scenarios through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise, and then decomposes the business of each characteristic indicator according to the business performance indicators of each characteristic indicator, combined with the target business analysis model composed of the UJM model, the AAARR model and the AIPL model, to obtain the first-level quantitative target and the DuPont decomposition quantitative target, so as to determine the first strategy corresponding to the first-level quantitative target and the second strategy corresponding to the DuPont decomposition quantitative target according to the business process of each characteristic indicator and the preset resource rules respectively, and at the same time, the indicators are hierarchically designed in combination with the preset principles to realize the construction of a panoramic indicator system, thereby improving the accuracy of the indicator system construction and improving the management effectiveness of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technical businesses in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0011] Figure 1 This is an application environment diagram of an indicator system construction method provided by an embodiment of the present invention; Figure 2 It is a flow chart of a method for constructing an indicator system provided by an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an indicator system construction device provided by an embodiment of the present invention; Figure 4 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical personnel in this field without creative work are within the scope of protection of the present invention.

[0013] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0014] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0015] As used in the present specification and the appended claims, the term “if” may be interpreted as “when” or “uponce” or “in response to determining”, depending on the context. Similarly, the phrases “if it is determined” or “if matched to [described condition or event]” may be interpreted as meaning “upon determination” or “in response to determination” or “uponce matched to [described condition or event]” or “in response to matching to [described condition or event]”, depending on the context.

[0016] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0017] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0018] It should be understood that the order of execution of the steps in the following embodiments does not imply a precedence of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0019] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0020] See also Figure 1 , is an application environment diagram of an indicator system construction method provided by an embodiment of the present invention. An indicator system construction method provided by an embodiment of the present invention can be applied in Figure 1 In the application environment, the client communicates with the server. The client includes but is not limited to PDAs, desktop computers, laptops, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs) and other computer devices. The client here is replaced by a business system. The server can be implemented with an independent server or a server cluster composed of multiple servers. Financial data such as loan information, deposit information, insurance information, etc. can be uploaded and downloaded through the server, and then an indicator system can be built based on the financial data.

[0021] See also Figure 2 , is a flow chart of a method for constructing an indicator system provided by an embodiment of the present invention, such as Figure 2 As shown, the indicator system construction method can be implemented through the following steps.

[0022] S201: Simulate the working conditions of the business scenario through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise.

[0023] In step S201, the OSM model, namely the Object-Strategy-Measure model, includes business goals, business strategies and business metrics. It is a business analysis framework that is suitable for situations where the goals are clear and the direction of action is clear. It breaks down the grand goals and corresponds them to the specific, implementable and measurable behaviors of each group in the department, thereby ensuring that the execution plan does not deviate from the general direction. Among them, the business goals represent the core value points and core purposes of the company / business / product / project. Clarifying the goals of the business direction can ensure that the subsequent indicator system disassembly is in line with the core value of the business and the core purpose of the business; the business strategy represents the strategies and handles taken to achieve the above goals. The corresponding business strategies disassembled around the core goals can be compared to quickly locate problems; business metrics are the handles for S to measure the effectiveness of the strategy, and the effectiveness of the strategy is evaluated through appropriate quantitative values. First, clarify the specific business scenarios to be simulated, such as order processing, customer service, etc., and identify the characteristic items preset by the enterprise, such as sales, customer satisfaction, processing time, etc. Then, according to business needs, select appropriate OSM components, such as the service layer, application layer, and resource layer, design the data model, including the characteristic indicators that need to be collected and their calculation methods, collect historical data related to the characteristic items, including customer behavior, market changes, etc., obtain real-time data through API or data interface to better simulate working conditions, use the tools and frameworks that the OSM model can provide, build the corresponding simulation environment, and then set the model parameters according to the actual situation, such as user behavior model, resource utilization, etc., perform the simulation according to the set scenarios and parameters, continuously monitor key indicators during the simulation process, and adjust them as needed, obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise from the simulation results, analyze their changing trends and influencing factors, compare the simulation results with historical data, verify the accuracy and rationality of the simulation, and apply the simulation results to corporate decision-making, such as optimizing resource allocation, improving customer experience, etc., so that the model and business processes can be iteratively optimized based on the simulation results and actual feedback.

[0024] For example, suppose the business goal of an insurance company is to increase the user purchase conversion rate to XX%. Then the business strategy is formulated as follows: (1) optimize the website interface design to improve the user experience; (2) strengthen the product recommendation algorithm to improve the personalized recommendation effect; (3) provide more preferential activities and promotional information to attract users to buy. Simulate the business scenario: the user enters the website through the search engine, browses multiple product pages, but ultimately does not buy. Then analyze the user behavior data and find that the user stays on the product details page for a long time, but the frequency of clicking the purchase button is low. It is speculated that there may be problems such as the website interface design is not friendly enough, the product recommendation is not accurate enough, or the preferential activities are not attractive enough. Thus, the characteristic items and characteristic indicators are determined: characteristic item 1: website interface design, characteristic indicators: page loading speed, page layout rationality, color matching comfort, etc.; characteristic item 2: product recommendation algorithm, characteristic indicators: recommended product and user interest matching, recommended product click-through rate, recommended product purchase conversion rate, etc.; characteristic item 3: preferential activities and promotional information, characteristic indicators: activity participation, activity conversion rate, user satisfaction, etc.

[0025] It should be noted that there are many feature items preset by the enterprise, which can be set according to actual conditions, and this application does not impose any restrictions on this.

[0026] In an embodiment of the invention, the operating conditions of the business scenario are simulated by the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise, including: Use the OSM model to simulate the working conditions of business scenarios to obtain the work content corresponding to the characteristic projects preset by the enterprise; According to the work content corresponding to the characteristic item, a plurality of characteristic indicators when the characteristic item is working are determined.

[0027] Specifically, clarify the business scenarios and feature items, and select business scenarios: for example, customer service, order processing, manufacturing, etc. Define feature items: Identify feature items that are closely related to business goals, such as "customer response time", "order processing time", "inventory turnover rate", etc. Then break down the specific work content required to achieve each feature item in detail. For example: For the "customer response time" feature item, the work content may include: receiving customer inquiries; assigning customer service personnel; providing solutions; following up customer feedback. For the "order processing time" feature item, the work content may include: receiving orders; order confirmation; picking and shipping. Based on the feature items and work content, establish the service layer, application layer, and resource layer of OSM. For example: Service layer: define various services (such as customer service, inventory management, order management). Application layer: implement business logic, such as order processing process and customer feedback processing process. Resource layer: determine system resources (such as databases, API interfaces, computing resources). By defining key parameters, such as the number of customer inquiries, average processing time, order volume, etc., the business process is executed in the model, the execution time and status of each task are recorded, and the performance of each link is tracked in real time to ensure that real and effective data is obtained. After the simulation, all data related to the work content, such as response time, processing time, customer satisfaction, etc., are collected. For "customer response time", the indicators that can be calculated include: average response time = total response time / total number of customer inquiries; response rate = number of customer inquiries responded within the set time / total number of inquiries; for "order processing time", the following can be calculated: average order processing time = total processing time / total number of successful orders; delivery accuracy = correct delivery quantity / total delivery quantity, so as to evaluate the efficiency and customer satisfaction of the current business based on the analysis results of the characteristic indicators in the future. If the response time is found to be too long, you can consider adding customer service personnel and optimizing the process. If the order processing time is not ideal, you may need to optimize inventory management or distribution strategies.

[0028] In the embodiment of the present application, by simulating the working conditions of the business scenario through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise, it can help the enterprise better understand the business status, discover problems and formulate targeted improvement measures, thereby promoting the realization of business goals.

[0029] S202: According to the business performance indicators of each of the characteristic indicators, each of the characteristic indicators is input into the target business analysis model for business decomposition to obtain a first-level quantitative target and a DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model.

[0030] In step S202, the UJM model, the full name of which is the User-Journey-Map model, is the user journey map. UJM is to reveal the user's behavior path from the user's perspective. That is, the user registration, login, add-to-cart, purchase, and repurchase link process. User behavior: what operations the user will perform on the journey; goal: the goal to be completed on the journey; contact point: the place where the product connects with the user; problem point: what difficulties or shortcomings there will be on the journey at present; opportunity point: summarize the opportunity point based on the goal, behavior and problem point; measurement indicator: select appropriate indicators for opportunity point for measurement. It can be seen that the UJM methodology can ensure: first, all business strategy categories are not repeated or missed, and all business strategy-related touchpoints will be included; second, the UJM disassembly can reversely prove whether the entire business strategy can really bring corresponding value to users, so as to achieve the ultimate business goal. The AARRR model, also known as the pirate model or growth hacker model, reveals the product life cycle from the product perspective. Including attracting new users, promoting activation, retention, payment, and promotion. The predatory growth method is also called the pirate model or funnel model. User acquisition: This is the initial stage of the product, focusing on how to introduce new users to the product or service through various means, such as through in-product operational activities, old users bringing new users, or using various external media channels for promotion; User activation: After the user registers or uses the product, measures need to be taken to improve the user's first-time experience to ensure that the user can smoothly start using the product and enjoy the value it brings; User retention: This stage focuses on how to improve the user's retention rate, by optimizing the user experience and providing valuable content, so that users are willing to continue to use the product; Revenue acquisition: After the user has become sticky to the product, focus on how to obtain revenue from the user, which may include selling products, providing paid services, or directly obtaining revenue through advertising; Referral communication: When users are satisfied with the product, they will recommend the product to others, forming word-of-mouth marketing. This stage focuses on how to promote user recommendation behavior and further expand the user base. The AIPL model is a means of quantifying and linking brand user assets.It divides users into four stages according to the degree of their contact and interaction with the brand: A (Awareness): Brand-aware users, generally referring to users who passively come into contact with the brand, such as those reached by brand advertisements and those who search for category terms; I (Interest): Brand-interested users, generally referring to users who actively come into contact with the brand, such as those who click on advertisements, browse the brand / store homepage, and participate in brand interactions; P (Purchase): Brand-purchasing users, including those who have made purchase behaviors; L (Loyalty): Brand-loyal users, such as those among the purchasing users who have made repeat purchases or have positive evaluations and share about the brand. The stage ranking is A < I < P < L. If a user meets the conditions of multiple stages simultaneously, they will be classified into the highest-level stage. This model helps the brand measure the success of user operation over a period of time and formulate corresponding marketing strategies. In summary, the three models of UJM, AARRR, and AIPL each have their own focuses, but they are all very important tools in marketing and user behavior analysis. They can help the brand deeply understand user needs and market trends, formulate targeted marketing strategies, and improve user retention rate, conversion rate, and satisfaction.

[0031] In this embodiment, first, according to the business objectives and strategies, key feature indicators are determined, such as user activity, conversion rate, average order value, etc. These feature indicators are input into the target business analysis model, that is, combined with the user journey stage of the UJM model, the user life cycle stage of the AAARR model, and the brand interaction stage of the AIPL model. During the business decomposition process: In the UJM model, identify the key nodes and pain points in the user journey, such as registration, login, browsing, purchase, etc.; in the AAARR model, analyze the user behaviors and conversion rates at each stage to determine the growth points and optimization directions; in the AIPL model, track the conversion path of users from awareness to loyalty, evaluate the brand influence and user stickiness, and thus, according to the business decomposition results, set first-level quantitative objectives, such as new user growth rate, user activity improvement rate, conversion rate improvement rate, average order value improvement rate, etc. Further use the DuPont decomposition method to further decompose the first-level quantitative objectives into more specific sub-objectives, that is, DuPont decomposition quantitative objectives. For example, the increase in the new user growth rate can be achieved by optimizing the registration process, improving the advertising delivery effect, etc. In order to subsequently set specific quantitative indicators and completion times for each sub-objective to form a complete quantitative objective system. Among them, the DuPont decomposition algorithm, also known as the DuPont analysis method, is a method that comprehensively analyzes the financial situation of an enterprise by using the relationships between several main financial ratios.

[0032] For example, assuming that an e-commerce platform wants to increase user activity and sales, the characteristic indicator input is: select user activity (number of logins, browsing time), conversion rate (purchase conversion rate, add-to-cart conversion rate), customer unit price, etc. as key characteristic indicators. In the UJM model, it is found that the bounce rate of users when browsing product pages is high, which may be due to the page design or product information display is not attractive enough; in the AAARR model, the new user growth rate is high, but the activation rate and retention rate are low, indicating that user stickiness is insufficient; in the AIPL model, brand awareness and interest are high, but the purchase rate and loyalty are low, indicating that the brand has problems in guiding users to purchase and establishing loyal relationships; the first-level quantitative goal setting: increase user activity by 20%, reduce product page bounce rate by 10%; increase new user activation rate to 50%, increase retention rate to 30%; increase purchase conversion rate by 15%, and increase customer unit price by 20%. DuPont disassembles quantitative targets: to increase user activity, optimize product page design, increase product information display, and carry out limited-time discounts and full-reduction activities to attract users; to increase new user activation rate and retention rate, optimize the registration process, provide new users with exclusive discounts, and increase user interaction functions, such as comments and sharing; to increase purchase conversion rate and customer unit price, optimize product recommendation algorithm, improve product matching, and carry out full gift, point redemption and other activities to stimulate user purchases. For another example, if the characteristic indicator is the life insurance human resources development department, the corresponding business performance indicator is to maintain the scale of existing agent manpower and expand high-quality recruitment, that is, to determine the qualitative KPI target on the team side, and through the target business analysis model, obtain the year-end in-service manpower target (level 1), that is, the level 1 quantitative target, as well as the beginning of the year manpower target, new manpower target, and dropped manpower target, that is, DuPont disassembles quantitative targets.

[0033] In this embodiment, according to the business performance indicators of each characteristic indicator, each characteristic indicator is input into the target business analysis model for business decomposition, which can quickly and accurately obtain the first-level quantitative target and DuPont decomposition quantitative target, which helps the enterprise to understand user behavior more systematically, optimize business processes and improve business performance, so as to build an indicator system later.

[0034] S203: According to the business process of each characteristic indicator, a first strategy solution corresponding to the first-level quantitative target and a second strategy solution corresponding to the DuPont disassembly quantitative target are determined respectively by using preset resource rules.

[0035] In step S203, the business process can be that the relevant technical personnel comb through the process of the characteristic indicator business to decompose the characteristic indicator business into characteristic business processes related to business needs, thereby realizing the refined decomposition of the characteristic indicator business and improving the management effect of the characteristic indicator business. Through in-depth understanding of each link in the business process, clarifying the input and output, key nodes and influencing factors of each link, according to the business process, determine the characteristic indicators closely related to the business goals, these indicators should be able to reflect the efficiency and effect of the business process, such as processing time, error rate, customer satisfaction, etc., according to the business goals and characteristic indicators, set specific first-level quantitative goals, such as improving processing efficiency by 20%, reducing error rate to 1%, etc., and then based on the preset resource rules, determine the priority and allocation method of resources, and formulate specific strategy plans for the first-level quantitative goals, that is, the first strategy plan. The plan should include improvement measures, process optimization, technology application, personnel training and other aspects, and further break down the first-level quantitative goals into more specific sub-goals. These sub-goals should be able to reflect more fine-grained improvement needs in the business process. The sub-goals should be broken down using the DuPont analysis system (or other similar methods) to ensure that each sub-goal corresponds to a specific link or factor in the business process. Based on the preset resource rules, the priority and allocation of resources are determined, and a specific strategic plan, namely the second strategic plan, is formulated for each DuPont decomposed quantitative goal.

[0036] For example, if an e-commerce platform wants to improve the user purchase conversion rate, the first-level quantitative goal is to increase the user purchase conversion rate to XX%. Business process and characteristic indicators: The business process includes user browsing, adding to the shopping cart, submitting orders, and payment; characteristic indicators include page views, adding to the shopping cart rate, submitting order rate, payment success rate, etc. The first strategy plan: Optimize the product page design to improve the attractiveness and readability of product information. Improve the shopping cart page, simplify the shopping process, and reduce the user operation steps. Strengthen the security of order submission and payment links to improve user trust. Carry out promotional activities, provide coupons and discounts to stimulate user purchase desire. DuPont dismantles quantitative goals: Increase the conversion rate from page browsing to adding to the shopping cart to YY%; increase the conversion rate from adding to the shopping cart to submitting an order to ZZ%; increase the conversion rate from submitting an order to payment to WW%. The second strategy: Optimize the product recommendation algorithm and improve product matching for the conversion rate from page browsing to adding to the shopping cart; at the same time, add user evaluation and question-and-answer functions to improve the transparency of product information; for the conversion rate from adding to the shopping cart to submitting an order, simplify the shopping cart page layout to reduce user selection difficulties; at the same time, provide multiple payment methods to facilitate user selection.

[0037] In this embodiment, by using the preset resource rules according to the business process of each characteristic indicator, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target are respectively determined, and the strategy plans corresponding to the practical quantitative targets are effectively formulated according to the business process and resource rules, thereby improving the pertinence and effectiveness of the strategy, which helps enterprises to formulate and implement business improvement plans more efficiently.

[0038] S204: Based on the preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target, a panoramic indicator system is constructed in terms of business logic.

[0039] In step S204, the preset principles followed in constructing the panoramic indicator system are clarified. These principles generally include: the selection of indicators should reflect the actual business: ensure that the selected indicators can truly reflect the business operation status; the indicators should be representative: select indicators that can represent the key aspects of the business; the indicators should have roots: ensure that the indicator data source is reliable and the calculation method is clear; the indicators should be continuously updated: as the business develops and the market environment changes, the indicators need to be updated in a timely manner. Through the preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont decomposition quantitative target, the core indicators of the panoramic indicator system are determined, and the core indicators are decomposed into business indicators and operation indicators using the hierarchical concept of the "indicator pyramid". The correlation and logical framework between the indicators are determined to ensure the consistency and integrity of the indicator system, and then the panoramic indicator system is quickly and accurately constructed in terms of business logic, ensuring the integrity and comprehensiveness of the indicator system, thereby providing strong data support for enterprises and helping them make more accurate and efficient decisions.

[0040] In an embodiment of the invention, a panoramic indicator system is constructed based on business logic, including: Based on the DuPont decomposition formula method and the MECE principle, the first strategy solution corresponding to the primary quantitative target and the second strategy solution corresponding to the DuPont decomposition quantitative target are analyzed to obtain multiple business metrics; Based on the multiple business metrics, a panoramic indicator system is constructed.

[0041] Specifically, the MECE principle is "mutually independent and completely exhaustive". Based on the DuPont decomposition formula method and the MECE principle, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont decomposition quantitative target are decomposed and analyzed to obtain multiple business metrics. Then, based on the first-level quantitative target and multiple business metrics, the framework of the panoramic indicator system is constructed to clarify the logical relationship between each indicator. Subsequently, an indicator monitoring mechanism is established to regularly monitor and evaluate the indicator system, and problems and deviations are discovered in a timely manner, and measures are taken to adjust and optimize, so as to provide strong support for corporate business operations and decision-making. For example: S1 metric: new channel retention rate, S2 metric: old channel retention rate, S1&S2-M metric: This metric can comprehensively reflect the overall performance of the two systems S1 and S2. The funnel conversion process is "Epass quantity - three-level interview - dual-core interview - training - training completion - employment". Epass quantity refers to the number of candidates who have passed the initial screening or evaluation. We can measure it according to the following levels: Level 3: EPASS quantity * employment conversion rate; Level 4: (Epass quantity of new channels + Epass quantity of old channels) * interview rate * interview rate * training rate * employment rate; Level 5: Epass quantity of new channels = (Epass quantity of network-increased channels + Epass quantity of other new channels); Epass quantity of new channels = (Epass quantity of customer conversion + Epass quantity due to reasons + Epass quantity of other channels); Level 6: Epass quantity of network-increased channels = available manpower * Epass activity rate of network-increased channels * Epass quantity per capita of network-increased channel activities. Establishing an indicator system based on this will help companies fully understand and optimize each link in the recruitment process and improve recruitment efficiency and effectiveness.

[0042] In an embodiment of the invention, the panoramic indicator system is constructed based on the multiple business metrics, including: Performing multi-dimensional data analysis on each of the business metrics to obtain multi-dimensional first-level multi-dimensional indicators, second-level multi-dimensional indicators, and third-level multi-dimensional indicators; The first-level multidimensional indicators, the second-level multidimensional indicators and the third-level multidimensional indicators are controlled to perform visual mapping to obtain a panoramic indicator system corresponding to the multidimensional indicators.

[0043] Specifically, according to business needs, the data dimensions to be analyzed are determined, such as time, region, product line, user type, etc. Multi-dimensional data analysis is performed on each business metric to obtain multi-dimensional first-level multi-dimensional indicators, second-level multi-dimensional indicators, and third-level multi-dimensional indicators. First-level multi-dimensional indicators: overall indicators directly calculated based on original data, such as total sales, total number of users, etc. Second-level multi-dimensional indicators: indicators obtained by disassembling according to a certain dimension based on the first-level indicators, such as sales divided by product line, number of users divided by user type, etc. Third-level multi-dimensional indicators: indicators obtained by disassembling according to another dimension based on the second-level indicators, such as sales divided by both product line and user type, etc. According to the data type and analysis needs, appropriate visualization tools are selected, such as Excel, Tableau, PowerBI, etc., and then the first-level multi-dimensional indicators, second-level multi-dimensional indicators, and third-level multi-dimensional indicators are mapped with visualization charts to form a panoramic indicator system, which is convenient for viewing and analyzing the data of indicators at all levels, so as to provide strong support for business optimization and decision-making.

[0044] In an embodiment of the invention, after constructing the panoramic indicator system based on the business logic, the following steps are included: Obtain business information of human resources to be evaluated; Based on the business information of the human resources to be evaluated, determining at least one target business process monitoring indicator matching the human resources to be evaluated from the panoramic indicator system; Performing business stage annotation processing on the business information to obtain annotated business text information; The annotated business text information is input into a preset performance evaluation model to determine the performance evaluation result of the human resource to be evaluated.

[0045] Specifically, the specific objectives of the evaluation are determined, such as evaluating the work performance, potential, and adaptability of human resources, and the business information of the human resources to be evaluated is comprehensively collected through various channels. The business information of the human resources to be evaluated is matched with the multi-dimensional indicators at all levels in the panoramic indicator system. Based on the matching results, at least one target business process monitoring indicator that matches the human resources to be evaluated is screened out from the panoramic indicator system. These indicators should be able to objectively and accurately evaluate the performance and contribution of the human resources to be evaluated in a specific business process. Then, the acquired business information is annotated by business stages, and the business information segments corresponding to each business stage are identified in the business information. The business stages are segmented and annotated in the business information to obtain annotated business text information. The annotated content in the annotated business text information corresponds to the business stage in the target business process monitoring indicator. The acquired annotated business text information is input into a preset performance evaluation model, and the work of the human resources to be evaluated is evaluated according to the preset performance evaluation model to obtain the performance evaluation result of the human resources to be evaluated. The performance evaluation model is constructed by various preset evaluation indicators and the weight of each preset evaluation indicator. The preset evaluation indicators include business process evaluation indicators and reference item evaluation indicators. Through the above steps, the performance of different human resources can be evaluated in a targeted manner, thereby improving the accuracy of performance evaluation.

[0046] It should be noted that the evaluation result of the human resources to be evaluated can be the specific evaluation score of the human resources to be evaluated, or the performance level of the human resources to be evaluated (excellent, good, qualified and unqualified), etc. This application does not make any restrictions on this. Business process evaluation indicators and reference item evaluation indicators can be taken as examples of speech keywords. For example, in the offline insurance company interview employee scenario, the frequency of speech keywords such as "salary" and "holiday" is relatively high, so these keywords can be defined as monitoring speech keywords for the offline insurance company interview employee scenario. The specific setting can be based on the actual situation. This application does not make any restrictions on this. It is worth noting that the determination of the performance level of the human resources to be evaluated is also based on the performance evaluation score of the human resources. The evaluation score can be divided into multiple score intervals, and each score interval corresponds to a performance level. For example, taking the full score of the performance evaluation score as 100 points, the performance level corresponding to a score greater than 90 points is excellent, the performance level corresponding to a score greater than or equal to 75 points and less than 90 points is good, the performance level corresponding to a score greater than or equal to 60 points and less than 75 points is qualified, and the performance level corresponding to a score less than 60 points is unqualified.

[0047] In summary, the present invention provides an indicator system construction method, device, equipment and medium, which simulates the working conditions of business scenarios through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise, and then decomposes the business of each characteristic indicator according to the business performance indicators of each characteristic indicator, combined with the target business analysis model composed of the UJM model, the AAARR model and the AIPL model, to obtain the first-level quantitative target and the DuPont decomposition quantitative target, so as to determine the first strategy corresponding to the first-level quantitative target and the second strategy corresponding to the DuPont decomposition quantitative target according to the business process of each characteristic indicator and the preset resource rules respectively, and at the same time, the indicators are hierarchically designed in combination with the preset principles to realize the construction of a panoramic indicator system, thereby improving the accuracy of the indicator system construction and improving the management effectiveness of the enterprise.

[0048] See also Figure 3 , Figure 3 Schematic diagram of the structure of the indicator system construction device provided by the embodiment of the present invention. In this embodiment, the terminal includes various units for executing Figure 2 For details, please refer to the steps in the corresponding embodiment. Figure 2 as well as Figure 2 For the convenience of explanation, only the parts related to this embodiment are shown. Figure 3 The indicator system construction device 30 includes: an acquisition module 31, a obtaining module 32, a determination module 33, and a construction module 34.

[0049] An acquisition module 31 is used to simulate the working conditions of the business scenario through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise; Obtaining module 32, for inputting each characteristic indicator into a target business analysis model for business decomposition according to the business performance indicator of each characteristic indicator, so as to obtain a first-level quantitative target and a DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model; A determination module 33, for determining the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target respectively according to the business process of each characteristic indicator and using preset resource rules; The construction module 34 is used to construct a panoramic indicator system in business logic based on preset principles, the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target.

[0050] Optionally, the acquisition module 31 is specifically used for: Use the OSM model to simulate the working conditions of business scenarios to obtain the work content corresponding to the characteristic projects preset by the enterprise; According to the work content corresponding to the characteristic item, a plurality of characteristic indicators when the characteristic item is working are determined.

[0051] Optionally, the building module 34 is specifically used for: Based on the DuPont decomposition formula method and the MECE principle, the first strategy solution corresponding to the primary quantitative target and the second strategy solution corresponding to the DuPont decomposition quantitative target are analyzed to obtain multiple business metrics; Based on the multiple business metrics, a panoramic indicator system is constructed.

[0052] Optionally, the building module 34 is further used for: Performing multi-dimensional data analysis on each of the business metrics to obtain multi-dimensional first-level multi-dimensional indicators, second-level multi-dimensional indicators, and third-level multi-dimensional indicators; The first-level multidimensional indicators, the second-level multidimensional indicators and the third-level multidimensional indicators are controlled to perform visual mapping to obtain a panoramic indicator system corresponding to the multidimensional indicators.

[0053] Optionally, the building block 34 is then specifically used to: Obtain business information of human resources to be evaluated; Based on the business information of the human resources to be evaluated, determining at least one target business process monitoring indicator matching the human resources to be evaluated from the panoramic indicator system; Performing business stage annotation processing on the business information to obtain annotated business text information; The annotated business text information is input into a preset performance evaluation model to determine the performance evaluation result of the human resource to be evaluated.

[0054] Optionally, the building block 34 is further used to: The performance evaluation model is constructed based on various preset evaluation indicators and the weight of each preset evaluation indicator, wherein the preset evaluation indicators include business process evaluation indicators and reference item evaluation indicators.

[0055] It should be noted that the information interaction, execution process and other contents between the above-mentioned units are based on the same concept as the embodiment of the method of the present invention. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0056] Figure 4 Schematic diagram of the structure of a computer device provided by an embodiment of the present invention. Figure 4 As shown, the computer device of this embodiment includes: at least one processor ( Figure 4Only one is shown), a memory, and a computer program stored in the memory and executable on at least one processor, and when the processor executes the computer program, the steps in any of the above-mentioned indicator system construction method embodiments are implemented.

[0057] The computer device may include, but is not limited to, a processor and a memory. It can be understood by those skilled in the art that Figure 4 These are merely examples of computer devices and do not constitute limitations on the computer devices. The computer devices may include more or fewer components than those shown in the figure, or a combination of certain components, or different components. For example, they may also include a network interface, a display screen, and an input system.

[0058] In one embodiment, a computer-readable storage medium is provided, and when the instructions in the computer-readable storage medium are executed by a processor in a computer device, the computer device can perform the steps of any embodiment of an indicator system construction method disclosed in the present invention, which will not be repeated here. The computer-readable storage medium can be non-volatile or volatile.

[0059] The processor may be a CPU, or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0060] The memory includes a readable storage medium, an internal memory, etc., wherein the internal memory may be the memory of a computer device, and the internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The readable storage medium may be a hard disk of a computer device, and in other embodiments, it may also be an external storage device of the computer device, for example, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device. Further, the memory may also include both an internal storage unit of the computer device and an external storage device. The memory is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of a computer program, etc. The memory may also be used to temporarily store data that has been output or is to be output.

[0061] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0062] The technical business in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0063] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for constructing an indicator system, characterized in that: include: The OSM model is used to simulate the working conditions of business scenarios to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise; According to the business performance indicators of each characteristic indicator, each characteristic indicator is input into the target business analysis model for business decomposition to obtain the first-level quantitative target and the DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model; According to the business process of each characteristic indicator, the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target are determined respectively by using the preset resource rules; Based on the preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target, a panoramic indicator system is constructed based on business logic.

2. The method for constructing an indicator system according to claim 1, characterized in that: The OSM model is used to simulate the working conditions of the business scenario to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise, including: Use the OSM model to simulate the working conditions of business scenarios to obtain the work content corresponding to the characteristic projects preset by the enterprise; According to the work content corresponding to the characteristic item, a plurality of characteristic indicators when the characteristic item is working are determined.

3. The index system construction method according to claim 1, characterized in that: Based on the preset principles, the first strategy corresponding to the first-level quantitative target and the second strategy corresponding to the DuPont disassembly quantitative target, a panoramic indicator system is constructed in business logic, including: Based on the DuPont decomposition formula method and the MECE principle, the first strategy solution corresponding to the primary quantitative target and the second strategy solution corresponding to the DuPont decomposition quantitative target are analyzed to obtain multiple business metrics; Based on the multiple business metrics, a panoramic indicator system is constructed.

4. The method for constructing an indicator system according to claim 3, characterized in that: Based on the multiple business metrics, a panoramic indicator system is constructed, including: Performing multi-dimensional data analysis on each of the business metrics to obtain multi-dimensional first-level multi-dimensional indicators, second-level multi-dimensional indicators, and third-level multi-dimensional indicators; The first-level multidimensional indicators, the second-level multidimensional indicators and the third-level multidimensional indicators are controlled to perform visual mapping to obtain a panoramic indicator system corresponding to the multidimensional indicators.

5. The index system construction method according to claim 1, characterized in that: After constructing the panoramic indicator system based on business logic, it includes: Obtain business information of human resources to be evaluated; Based on the business information of the human resources to be evaluated, determining at least one target business process monitoring indicator matching the human resources to be evaluated from the panoramic indicator system; Performing business stage annotation processing on the business information to obtain annotated business text information; The annotated business text information is input into a preset performance evaluation model to determine the performance evaluation result of the human resource to be evaluated.

6. The method for constructing an indicator system according to claim 1, characterized in that: The performance evaluation model is constructed in the following way: The performance evaluation model is constructed based on various preset evaluation indicators and the weight of each preset evaluation indicator, wherein the preset evaluation indicators include business process evaluation indicators and reference item evaluation indicators.

7. An indicator system construction device, characterized in that: include: The acquisition module is used to simulate the working conditions of the business scenario through the OSM model to obtain multiple characteristic indicators corresponding to the characteristic items preset by the enterprise; A module is used to input each characteristic indicator into a target business analysis model for business decomposition according to the business performance indicators of each characteristic indicator, so as to obtain a first-level quantitative target and a DuPont decomposition quantitative target, wherein the target business analysis model is constructed based on the UJM model, the AAARR model and the AIPL model; A determination module, for determining the first strategy scheme corresponding to the first-level quantitative target and the second strategy scheme corresponding to the DuPont disassembly quantitative target respectively according to the business process of each characteristic indicator and using preset resource rules; The construction module is used to construct a panoramic indicator system in business logic based on preset principles, the first strategy plan corresponding to the first-level quantitative target and the second strategy plan corresponding to the DuPont disassembly quantitative target.

8. The indicator system construction device according to claim 1, characterized in that: The acquisition module is also used for: Use the OSM model to simulate the working conditions of business scenarios to obtain the work content corresponding to the characteristic projects preset by the enterprise; According to the work content corresponding to the characteristic item, a plurality of characteristic indicators when the characteristic item is working are determined.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the indicator system construction method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for constructing an indicator system as described in any one of claims 1 to 6 is implemented.

Images