Business state data display method and device, electronic equipment and readable storage medium

Abstract

The invention discloses a business state data display method and device, electronic equipment and a readable storage medium, and relates to the field of big data processing and finance, an executor of a target business can be accurately determined by selecting a target distribution rule from distribution rule configuration data, the business is enabled to be matched with a proper executor, and business execution efficiency and professionality are improved. And calculating a service state evaluation index by using the factor configuration data and the factors and the weight coefficients therein, so that the evaluation is more scientific and quantitative, subjective random judgment is avoided, and an objective basis is provided for service state evaluation. And then, a visual display dimension rule is adopted to carry out grouping display, and business state attribute data, change data and evaluation indexes are visually displayed, so that business personnel can quickly understand complex data information. From acquisition of service state attribute data to distribution of services, acquisition of feedback data and calculation of evaluation indexes to visual display, all links are closely connected, the process is standard, and the accuracy and continuity of service data processing are guaranteed.

Description

Technical Field

[0001] The present application relates to the fields of big data processing and financial technology, and in particular to a method, device, electronic device and readable storage medium for displaying business status data. Background Art

[0002] Business status management is a core component in finance, e-commerce, logistics, and other fields. In particular, overdue asset management in the financial industry requires full-process tracking and control of business status (such as overdue stage, recovery progress, and institutional performance). Efficient business status data display requires automated status identification, intelligent process allocation, and intuitive data display to improve operational efficiency and reduce risk.

[0003] In related technologies, overdue asset management scenarios rely on manual case assignment, manual recovery rate calculation, and presentation through simple tables. However, the applicant recognized that the processing procedures corresponding to business status (such as collection case assignment and risk management strategies) rely on preset rules and cannot be dynamically adjusted according to real-time status. In addition, status identification relies on manual operations, resulting in insufficient timeliness and accuracy in the presentation of business status data. Summary of the Invention

[0004] In view of this, the present application provides a business status data display method, device, electronic device and readable storage medium, the main purpose of which is to solve the problem that the processing flow corresponding to the business status depends on preset rules and cannot be dynamically adjusted according to the real-time status, and the status identification relies on manual operation, resulting in insufficient timeliness and accuracy of the business status data display.

[0005] According to the first aspect of the present application, a method for displaying service status data is provided, the method comprising:

[0006] Acquire service status attribute data of a target service, wherein the service status attribute data indicates a status characteristic of the target service;

[0007] Selecting a target allocation rule corresponding to the target business in the allocation rule configuration data, determining a target business executor for the business status attribute data based on the target allocation rule, and allocating the target business to the target business executor, wherein the target allocation rule is used to determine at least one business executor for executing the business status attribute data;

[0008] Obtaining service status change data fed back by the target service executor regarding the target service;

[0009] Selecting a target factor configuration corresponding to the target business from the factor configuration data, and calculating the business status attribute data and the business status change data using the target factor configuration to obtain a business status evaluation index for the target business, wherein the factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and a weight coefficient of each factor;

[0010] The business status attribute data, the business status change data and the business status evaluation indicators are grouped and displayed using visual display dimension rules.

[0011] According to a second aspect of the present application, a service status data display device is provided, the device comprising:

[0012] A first acquisition module is configured to acquire service status attribute data of a target service, wherein the service status attribute data indicates a status feature of the target service;

[0013] an allocation module, configured to select a target allocation rule corresponding to the target business from the allocation rule configuration data, determine a target business executor for the business status attribute data based on the target allocation rule, and allocate the target business to the target business executor, wherein the target allocation rule is used to determine at least one business executor for executing the business status attribute data;

[0014] A second acquisition module is used to obtain the service status change data fed back by the target service executor regarding the target service;

[0015] a calculation module, configured to select a target factor configuration corresponding to the target business from the factor configuration data, and calculate the business status attribute data and the business status change data using the target factor configuration to obtain a business status evaluation index for the target business, wherein the factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and a weight coefficient of each factor;

[0016] The display module is used to group and display the business status attribute data, the business status change data and the business status evaluation indicators using visual display dimension rules.

[0017] According to a third aspect of the present application, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0018] According to a fourth aspect of the present application, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0019] By means of the above technical solution, the technical solution provided by the embodiment of the present application has at least the following advantages:

[0020] The present application provides a method, device, electronic device, and readable storage medium for displaying business status data. The present application obtains business status attribute data of a target business, selects a target allocation rule corresponding to the target business from allocation rule configuration data, determines a target business executor for the business status attribute data based on the target allocation rule, and assigns the target business to the target business executor. The business status attribute data indicates the state characteristics of the target business, and the target allocation rule is used to determine at least one business executor that executes the business status attribute data. By selecting a target allocation rule from the allocation rule configuration data, the executor of the target business can be accurately determined, matching the business with the appropriate executor, thereby improving business execution efficiency and professionalism. Next, business status change data feedback from the target business executor regarding the target business is obtained, and a target factor configuration corresponding to the target business is selected from the factor configuration data. The target factor configuration is used to calculate the business status attribute data and the business status change data to obtain a business status evaluation index for the target business. The factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and the weight coefficients of each factor. Utilizing factor configuration data and its factors and weight coefficients to calculate business status assessment indicators makes the assessment more scientific and quantitative, avoiding subjective and arbitrary judgments. This provides an objective basis for business status assessment and helps enterprises accurately grasp business progress and results. Visual display dimension rules are then used to group and display business status attribute data, business status change data, and business status assessment indicators. This grouping and display of business status attribute data, change data, and assessment indicators is intuitively presented, facilitating business personnel's rapid understanding of complex data information and aiding decision-making. Therefore, from acquiring business status attribute data to allocating business operations, obtaining feedback data, calculating assessment indicators, and finally visualizing them, each link is closely linked and the process is standardized, ensuring the accuracy and consistency of business data processing and contributing to the construction of a stable and efficient business management system.

[0021] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present application. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0023] Figure 1 A schematic diagram of an application environment for displaying business status data provided by an embodiment of the present application is shown;

[0024] Figure 2 A schematic diagram of a method for displaying service status data provided by an embodiment of the present application is shown;

[0025] Figure 3 A schematic diagram of another method for displaying service status data provided by an embodiment of the present application is shown;

[0026] Figure 4 A schematic diagram showing a structure of a service status data display provided by an embodiment of the present application is shown;

[0027] Figure 5 A schematic diagram of the device structure of a computer device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0028] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0029] The following describes exemplary embodiments of the present application in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0030] The service status data display method provided in the embodiment of the present application can be applied to Figure 1In the application environment, the execution subject of this application is the business status data display system. The business status data display system relies on the computing power of the server to provide services to users and relies on the client to provide service programs for users corresponding to the server. The client communicates with the server through the network. The server obtains the business status attribute data of the target business, selects the target allocation rule corresponding to the target business in the allocation rule configuration data, determines the target business executor for the business status attribute data based on the target allocation rule, and allocates the target business to the target business executor. It can reasonably allocate according to the business characteristics and the executor's capabilities, so that the business is handled by the most appropriate subject, improves the quality and efficiency of business execution, and reduces resource mismatch and waste. Then, the business status change data fed back by the target business executor for the target business is obtained, and the target factor configuration corresponding to the target business is selected in the factor configuration data. The target factor configuration is used to calculate the business status attribute data and the business status change data to obtain the business status evaluation index of the target business. It can scientifically and quantitatively evaluate the business status based on multi-dimensional data and preset factor weights, provide an objective and accurate basis for business management and decision-making, and help to timely discover problems and optimize business processes. Finally, the business status attribute data, business status change data and business status evaluation indicators are grouped and displayed using visual display dimension rules, and the abstract business status attribute data, change data and evaluation indicators are intuitively presented to the user, reducing the difficulty of data understanding, facilitating users to quickly obtain key information, and improving decision-making efficiency and accuracy. Among them, the client can be but is not limited to various personal computers, laptops, smart phones, tablets and portable wearable devices, and the server can be an independent server, or it can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and servers for basic cloud computing such as big data and artificial intelligence platforms. The following is a detailed description of this application through specific embodiments.

[0031] The present application embodiment provides a method for displaying business status data, such as Figure 2 As shown, the method includes:

[0032] 201. Obtain business status attribute data of the target business.

[0033] In the embodiment of the present application, the business status attribute data covers information such as overdue time, business scope, collection method, account period, repayment schedule, repayment write-off flow data, etc., which can indicate the status characteristics of the target business. For example, the overdue time can directly reflect the changes in the customer's repayment ability and willingness. Financial institutions can use this to accurately assess credit risks, judge the possibility of loan defaults, make preparations for bad debts in advance, or take risk mitigation measures; the repayment schedule and repayment write-off flow data facilitate financial institutions to dynamically track business risks. Once abnormal fluctuations in repayments occur, they can detect and intervene in time to avoid risk expansion and ensure the safety of financial assets. Therefore, a clear grasp of business status attribute data facilitates financial institutions to reasonably allocate resources. For example, based on information such as collection methods and account periods, they can reasonably arrange collection manpower and material resources, give priority to high-risk overdue businesses, improve collection efficiency, and reduce operating costs.

[0034] 202. Select a target allocation rule corresponding to the target business in the allocation rule configuration data, determine a target business executor for the business status attribute data based on the target allocation rule, and allocate the target business to the target business executor.

[0035] In the embodiments of this application, there are various types of financial services, such as credit approval, risk management, and fund clearing. Different services require different professional capabilities. Through target allocation rules, services can be accurately allocated to executors who excel in the corresponding fields. For example, complex credit risk assessment services can be assigned to experienced risk control teams, thereby improving the professionalism and accuracy of business processing and accelerating business processing. In addition, rule-based business allocation helps to sort out and optimize the overall business process. Clear business allocation logic can make the connection between each link smoother, facilitate the discovery of bottlenecks and problems in the process, and then optimize and improve it, thereby improving the overall operational management level of financial institutions.

[0036] 203. Obtain business status change data fed back by the target business executor regarding the target business.

[0037] In the embodiments of this application, business status change data can reflect changes in business risk in real time. For example, in credit transactions, changes such as an increase in overdue days or a decrease in repayment amounts can enable financial institutions to promptly detect rising risks and take preemptive measures, such as strengthening collection efforts and adjusting credit limits to reduce the risk of bad debt losses. Therefore, through business status change data, financial institutions can understand the progress and effectiveness of business execution. For example, in debt collection transactions, based on feedback such as the successful collection rate and the remaining uncollected amount, they can rationally allocate collection resources, focus on harder-to-collect accounts, and improve resource utilization efficiency.

[0038] 204. Select a target factor configuration corresponding to the target business from the factor configuration data, calculate the business status attribute data and the business status change data using the target factor configuration, and obtain a business status evaluation index for the target business.

[0039] In the embodiments of the present application, financial business risks are affected by many factors, such as customer credit status, market fluctuations, industry trends, etc. By configuring factors and incorporating multiple factors (such as customer credit rating, income stability, debt-to-asset ratio, etc.), business risks can be comprehensively assessed to avoid the one-sidedness of judging based on a single indicator. For example, when approving credit, in addition to looking at the customer's current income, factors such as their income stability and debt situation are also combined to more accurately assess the risk of default. Moreover, different financial business scenarios are complex and diverse, and factor configuration can be flexibly adjusted. For example, different factors and weights are selected for different types of loans (such as personal consumption loans, business operating loans), investment projects (stock investments, bond investments), etc., to adapt to the risk assessment needs under various complex business scenarios.

[0040] 205. Use visual display dimension rules to group and display business status attribute data, business status change data and business status evaluation indicators.

[0041] In the embodiments of this application, financial data is often complex. Visual displays can present business status attribute data, change data, and evaluation indicators in intuitive forms such as charts and graphs. For example, a bar chart can be used to display the overdue amount of different businesses, and a line chart can be used to display business status change trends. This allows financial practitioners to quickly grasp key information without the effort of interpreting large amounts of digital tables. Therefore, using visualization tools to update data displays in real time, financial institutions can monitor business status in real time, such as real-time monitoring of capital flows and transaction status, and can promptly detect abnormal transactions or business risks to ensure the smooth operation of financial services.

[0042] The present embodiment provides a method for displaying business status data. Compared with the prior art, the present embodiment obtains business status attribute data of a target business, selects a target allocation rule corresponding to the target business from the allocation rule configuration data, determines a target business executor for the business status attribute data based on the target allocation rule, and assigns the target business to the target business executor. The business status attribute data indicates the state characteristics of the target business, and the target allocation rule is used to determine at least one business executor who will execute the business status attribute data. By selecting the target allocation rule from the allocation rule configuration data, the executor of the target business can be accurately determined, matching the business with the appropriate executor, and improving the efficiency and professionalism of business execution. Next, business status change data feedback from the target business executor for the target business is obtained, and a target factor configuration corresponding to the target business is selected from the factor configuration data. The target factor configuration is used to calculate the business status attribute data and the business status change data to obtain a business status evaluation index for the target business. The factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and the weight coefficients of each factor. Utilizing factor configuration data and its factors and weight coefficients to calculate business status assessment indicators makes the assessment more scientific and quantitative, avoiding subjective and arbitrary judgments. This provides an objective basis for business status assessment and helps enterprises accurately grasp business progress and results. Visual display dimension rules are then used to group and display business status attribute data, business status change data, and business status assessment indicators. This grouping and display of business status attribute data, change data, and assessment indicators is intuitively presented, facilitating business personnel's rapid understanding of complex data information and aiding decision-making. Therefore, from acquiring business status attribute data to allocating business operations, obtaining feedback data, calculating assessment indicators, and finally visualizing them, each link is closely linked and the process is standardized, ensuring the accuracy and consistency of business data processing and contributing to the construction of a stable and efficient business management system.

[0043] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, the embodiment of the present application provides another service status data display method, such as Figure 3 As shown, the method includes:

[0044] 301. Obtain business status attribute data of the target business.

[0045] In the embodiment of the present application, the business status attribute data indicates the status characteristics of the target business, including overdue case data, repayment schedule, and repayment write-off flow data, among which the overdue case data includes information such as overdue time, business scope, collection method, and account period. In the financial business scenario, the business status attribute data of the target business is crucial. The overdue time can reflect the length of time the customer has been in arrears and is a key indicator for judging changes in their willingness and ability to repay. For example, the initial overdue period may be just a short-term cash flow problem, but the longer the overdue period, the greater the risk of default. The business scope covers a variety of financial business types, such as personal credit and corporate credit. Different types of business have different risk characteristics and management methods. Collection methods include telephone collection, door-to-door collection, legal collection, etc., and their selection is related to the overdue situation of the business and the characteristics of the customer. The account period reflects the time cycle attribute of the business and is of great significance to cash flow management and risk assessment. The repayment schedule clearly defines the customer's repayment arrangements, and the repayment write-off flow records the actual flow of funds and repayment operation records. These data depict the business status from different angles. Comprehensively collect all types of business status attribute data to provide rich information for risk assessment. Financial institutions can comprehensively consider multi-dimensional factors and judge business risks more accurately.

[0046] In an optional implementation, the specific method of collecting data can utilize a big data platform to process data, such as pushing basic customer information, repayment schedules, and repayment flow records from the business system to the big data platform. With its powerful storage and computing capabilities, the big data platform can efficiently integrate multi-source heterogeneous data. Among them, basic customer information includes identity information, financial status, etc., which is the basis for a comprehensive understanding of the customer; repayment schedules and repayment flow records are directly related to business capital transactions and execution status. Data push is achieved through technologies such as data interfaces to ensure that data is timely and accurately aggregated to the big data platform. After data collection, it is necessary to perform cleaning, conversion, and other processing operations on the big data platform. Cleaning can remove duplicate, erroneous, and incomplete data, which can improve data quality. For example, erroneous repayment records caused by system failures can be eliminated; data formats can be standardized through conversion to facilitate subsequent analysis and calculation. For example, date data in different formats can be standardized to accurately calculate indicators such as overdue duration.

[0047] 302. Determine the overdue stage and total overdue amount corresponding to the target business based on the business status attribute data.

[0048] In an embodiment of the present application, at least one business overdue period corresponding to the target business and the overdue start time corresponding to each business overdue period are obtained from the business status attribute data. Then, the earliest overdue start time is selected from the at least one overdue start time as the target overdue start time. In financial business, a business may be overdue multiple times, and each overdue will have a corresponding start time. This information constitutes the business overdue period and overdue start time data. The earliest overdue start time is found from these data and used as the target overdue start time in order to determine the starting point of the overdue and use it as a benchmark to calculate the overdue duration. Then, the current time is obtained, and the business overdue duration corresponding to the target business is determined based on the target business overdue start time and the current time. Then, the overdue stage division rule is obtained, and the overdue stage corresponding to the business overdue duration is determined based on the overdue stage division rule to obtain the overdue stage corresponding to the target business. Different financial institutions or business types will pre-set overdue stage classification rules. Common ones include 0-30 days overdue as M1 stage (minor overdue), 30-60 days as M2 stage (moderate overdue), 60-90 days as M3 stage (severe overdue), etc. Based on the calculated overdue period, the corresponding overdue stage of the target business can be determined by comparing the rules. For example, a loan is first overdue on March 10, 2025, and the current time is April 20, 2025. The overdue period is 40 days. According to the pre-set overdue stage classification rules, it can be determined that this business is in the M2 overdue stage. This process accurately quantifies the time dimension of business overdue, providing a key basis for subsequent risk assessment and management.

[0049] Next, the overdue amount corresponding to each overdue period in the business status attribute data is obtained. The sum of at least one overdue amount is used as the total overdue amount for the target business. In financial services, especially credit services, a single business may experience multiple overdue periods. Each overdue period generates a corresponding overdue amount, known as the overdue amount. The total overdue amount is calculated by adding up the overdue amounts for each overdue period. For example, if a business is overdue by 1,000 yuan in March 2025 and another 1,000 yuan in April, the total overdue amount is 2,000 yuan. Accurately calculating the total overdue amount provides a clear picture of the scale of overdue funds in the business.

[0050] An optional implementation also includes processing repayment write-off flow data. Specifically, repayment write-off records are grouped by contract number and write-off period, enabling more organized data processing. Different contracts have different repayment write-off situations. Grouping by contract number allows for analysis of each contract's repayment status. Grouping by write-off period provides insights into repayment write-off dynamics over different time periods. For example, it's possible to clearly see whether a contract was partially or fully written off during a specific period, facilitating subsequent in-depth analysis of repayment patterns, capital flows, and other information.

[0051] 303. Obtain the business scope, execution method, and business cycle corresponding to the target business from the business status attribute data, and generate the target business execution task using the overdue stage, total overdue amount, business scope, execution method, and business cycle corresponding to the target business.

[0052] In the embodiments of this application, the business scope clearly defines the field to which the target business belongs. The financial business scope is broad, covering credit (such as personal consumption loans, business operating loans), credit cards, etc. The characteristics of overdue cases in different business categories are different. Personal consumption loan overdue may be related to the consumer's personal financial situation and consumption habits; business operating loan overdue may be affected by factors such as the business environment and capital turnover. Clarifying the business scope can provide a basic direction for the formulation of subsequent collection strategies.

[0053] The execution method reflects the specific business model, namely the collection method. Common collection methods include telephone collection, field visits, outsourced collection, and legal action. Telephone collection involves communicating over the phone, which is efficient and low-cost, and is suitable for customers who are in the early stages of delinquency and may be more willing to repay. Field visits involve collection personnel visiting the customer in person, providing a more intuitive understanding of the customer's situation, and are suitable for customers with poor telephone communication or large overdue amounts. Outsourced collection involves entrusting collection work to a professional collection agency, leveraging their professional resources and experience. Legal action targets cases of malicious delinquency, refusal to repay, and large amounts of debt, and involves using legal means to forcibly recover the outstanding debt.

[0054] The business cycle refers to the time span from the occurrence of a financial transaction to its expected conclusion. For loans, this spans from loan disbursement to the agreed repayment due date; for credit cards, it spans from the recording of purchases to the billing date and final repayment date. Different business cycles have different characteristics and collection priorities for overdue cases at each stage. For example, in the early stages of a delinquency, the customer may only be experiencing short-term cash flow issues, so collection efforts may primarily focus on reminders. However, longer delinquencies may require more aggressive collection measures.

[0055] Specific collection execution tasks are generated by comprehensively considering factors such as the overdue stage (reflecting the severity of the overdue), the total overdue amount (reflecting the scale of the debt), the business scope, the collection method, and the business cycle. For example, for an enterprise operating loan (business scope) that is overdue at the M3 stage and has a large overdue amount, the business cycle is long and the early telephone collection effect is not good, then the generated execution task may be to arrange an external visit team to conduct an on-site investigation of the enterprise's business conditions, meet with the enterprise leader to formulate a repayment plan, and prepare relevant materials for outsourced collection or legal proceedings, and further proceed according to the subsequent situation. By comprehensively considering multi-dimensional information to generate execution tasks, precise policies can be implemented for overdue cases with different risk levels. For example, for high-risk cases with serious overdue periods and large amounts of debt, strong collection methods such as external visits and legal proceedings are given priority to reduce the risk of bad debts; for low-risk cases in the early stages of overdue periods, mild methods such as telephone collection are used to reduce the risks caused by excessive collection.

[0056] 304. Receive the target allocation rule corresponding to the target service selected by the service allocation personnel in the allocation rule configuration data based on the terminal held by the service allocation personnel.

[0057] In the embodiment of the present application, in the field of debt collection for financial overdue cases, business allocation is an important link to ensure the efficiency and effectiveness of debt collection. Business allocation personnel use the terminal devices in their hands (such as computers, tablets or mobile phones, etc.) to select the corresponding target allocation rules from the system's allocation rule configuration data based on the specific characteristics of the target overdue case. Among them, the target allocation rule indicates the mapping relationship between the overdue stage, business scope, execution method and business execution party, and is used to determine at least one business execution party for executing business status attribute data. The allocation rule configuration involves multiple key dimensions. For example, the overdue stage dimension distinguishes different stages such as M1, M3, M7-M999. Different overdue stages mean different degrees of difference in customer willingness and ability to repay, and the collection difficulty and strategy are also different; the business scope covers various financial businesses such as passenger car leaseback and commercial vehicle light trucks. There are differences in customer groups, business processes and risk characteristics in different business categories; the execution methods include telephone reminders, field visits, etc., and each execution method is suitable for overdue cases in different situations. By selecting appropriate target allocation rules, overdue cases can be accurately assigned to collection agencies that are good at handling corresponding types of cases. For example, used passenger car leaseback cases in the M7-M999 stage with complex overdue situations and greater difficulty are assigned to collection agencies with rich experience and sufficient resources to achieve efficient matching of human resources and business and improve the success rate of collection.

[0058] 305. Based on the target allocation rules, determine the target business executor who will execute the target business execution task according to the overdue stage corresponding to the target business, the business scope corresponding to the target business, and the execution method corresponding to the target business.

[0059] In the embodiments of this application, the target allocation rule serves as the core basis for case allocation in the collection scenario of overdue financial cases. It integrates multiple dimensions, including the overdue stage, business scope, and enforcement method, to determine the execution party. From the perspective of overdue stage, different stages reflect differences in customers' willingness and ability to repay. Customers in the M1 stage may only have short-term cash flow issues, with a relatively high willingness to repay and relatively little difficulty in collection. Meanwhile, customers in the M7-M999 stages have long overdue periods and may have a severely insufficient willingness and ability to repay, making collection more challenging and requiring the intervention of more professional and experienced collection agencies. Regarding business scope, various financial businesses, including passenger car leasebacks and commercial vehicles and light trucks, differ in their customer base, business processes, and risk profiles. For example, in the passenger car leaseback business, customers are mostly individual consumers, whose repayment ability is related to their personal financial situation. In the commercial vehicle and light truck business, customers are mostly businesses or self-employed individuals, whose repayment ability is affected by their business conditions. This requires collection agencies to possess relevant expertise and resources to effectively carry out collection work. Enforcement methods include telephone collection and on-site visits. Telephone collection is ideal for early communication, offering high efficiency and low cost, and can quickly connect with a large number of overdue customers. On-site visits are suitable for cases where telephone communication is limited, the amount of overdue debt is large, or when in-person understanding of the customer's situation is necessary. Therefore, selecting the appropriate enforcement method based on the specific circumstances of the case and matching it with a collection agency that specializes in that method can improve collection effectiveness. By comprehensively considering these factors based on the target allocation rules, the specific target business executor—the agency responsible for collecting the overdue case—can be determined, ensuring the case receives the most appropriate handling.

[0060] It should be noted that there are many ways to determine the target business executor who performs the target business execution task based on the target allocation rule, and the embodiments of the present application do not impose specific limitations.

[0061] In an optional implementation, target debt collectors can be selected based on business status evaluation indicators. Specifically, multiple debt collectors and each debt collector's business status evaluation indicator are obtained. The debt collectors are then ranked from highest to lowest by their business status evaluation indicators, with the highest-ranked debt collector selected as the target debt collector. For example, when handling a batch of overdue debt cases, there are three collection agencies: A, B, and C. Agency A has a historical recovery rate of 70%, an average collection period of 30 days, and a customer complaint rate of 5%. Agency B has a recovery rate of 60%, a collection period of 40 days, and a complaint rate of 8%. Agency C has a recovery rate of 50%, a collection period of 50 days, and a complaint rate of 10%. After sorting, Agency A has the highest business status evaluation indicator and is selected as the target debt collector. Selecting target debt collectors based on business status evaluation indicators ensures that cases are assigned to collection agencies with a proven track record of performance, leveraging their expertise and proven experience to improve the efficiency and recovery rate of overdue debt collection, thereby minimizing bad debt losses for financial institutions. Furthermore, business status evaluation indicators are dynamically adjusted based on the performance of the collection agencies. Agencies with high recent collection rates and a large number of successful collection cases demonstrate effective collection strategies and strong execution teams, and may be appropriately assigned more cases. For example, if Agency A achieved a 60% collection rate over the past month, while Agency B only achieved a 40% rate, Agency A might be given more cases in subsequent allocations.

[0062] In an optional implementation, the target business executor can be determined according to the allocation ratio. Specifically, multiple designated business executors that execute the target business execution task are determined according to the target allocation rules, wherein the target allocation rules include the allocation ratio corresponding to each designated business executor. Then, the overdue allocation amount corresponding to each designated business executor is determined based on the total overdue amount and the allocation ratio corresponding to each designated business executor, and the target business execution task is divided into the target business allocation task corresponding to each designated business executor according to the overdue allocation amount corresponding to each designated business executor, and then the target business allocation task corresponding to each designated business executor is pushed to each designated business executor respectively. For example, for a certain type of overdue case, the target allocation rules stipulate that institution A will receive 30%, institution B will receive 20%, and institution C will receive 15%. If the total overdue amount of a target business is RMB 1 million, then the corresponding overdue allocation amount for institution A is RMB 300,000, institution B is RMB 200,000, and institution C is RMB 150,000. Based on these overdue allocation amounts, the target business execution tasks are divided into target business allocation tasks corresponding to each designated business executor, and finally, each target business allocation task is pushed to the corresponding designated business executor. Dividing tasks among multiple designated business executors based on allocation ratios can fully mobilize resources from all parties, leverage the strengths of different institutions, create synergy, enable each institution to focus on its assigned tasks, improve overall collection efficiency, and accelerate collection.

[0063] In an optional implementation, the target business executor can be determined by sorting by overdue amount. Overdue cases are sorted from high to low (or from low to high) according to the overdue amount, and then the cases are assigned to different business executors based on the sorting results and preset allocation rules. For example, the rule is set as "cases with overdue amounts exceeding 500,000 yuan are given priority to Class A professional collection agencies, cases with overdue amounts between 100,000 and 500,000 yuan are assigned to Class B agencies, and cases below 100,000 yuan are assigned to Class C agencies." In this way, after the system automatically sorts the overdue amounts of the cases, it can quickly screen out cases that meet the conditions of each agency for allocation. Based on the sorting, the allocation can be further refined in combination with the overdue stage. For example, for cases with an overdue amount of more than 500,000 yuan, those in the M3 overdue stage are assigned to agencies that are good at handling mid-term overdues, while those in the M7 and above high-risk stages are assigned to agencies with more experience and stronger collection methods. The allocation priority can also be set based on the overdue amount sorting, and cases with higher amounts are assigned first to ensure that high-value cases can be handled faster. Sorting cases by overdue amount allows collection agencies to focus on handling cases with similar amounts, creating economies of scale and quickly accumulating experience and strategies.

[0064] In an optional implementation, the target business executor can be determined by automatically grouping multiple businesses of the same lessee into the same institution. Through customer identification technology, when the system detects that the same lessee has multiple overdue businesses, all related cases will be automatically assigned to the same business executor regardless of whether the overdue amount, overdue stage, and business type of these businesses are the same. For example, if the lessee Zhang has both an overdue credit card business and an overdue personal consumer loan, the system will assign both businesses to an institution designated to handle Zhang's case, so that the institution can fully understand the customer's situation and formulate a unified collection strategy. The aggregation of multiple businesses of the same lessee can avoid repeated understanding of customer information by different institutions. Institutions can carry out collection work more efficiently based on existing communication and understanding of the situation.

[0065] In one optional implementation, the target collection agency can be determined based on the collection agency's expertise. Different collection agencies may specialize in specific areas. For example, some excel at handling overdue credit card cases and are more familiar with credit card business processes and customer characteristics; others are experienced in handling overdue corporate operating loans and understand corporate financial analysis and strategies for coping with operational difficulties. Therefore, assigning cases to agencies with matching expertise based on the target business area, such as credit cards or corporate loans, can leverage their expertise and improve collection success rates.

[0066] In an optional implementation, the target business executor can be determined in combination with the task saturation of the collection agency. By monitoring the number of cases and workload of each collection agency in real time, the system can avoid excessive concentration of task allocation, which may lead to task saturation of the agency and affect the quality and efficiency of collection. Algorithms or rules can be used to ensure that the task load of each collection agency is relatively balanced. For example, upper and lower limits for case allocation can be set for each agency. When the case load reaches the upper limit, allocation is suspended. When it falls below the lower limit, allocation is prioritized. This allows each agency to carry out collection work under a reasonable workload and improve overall operational efficiency.

[0067] In one optional implementation, the target execution party can be determined based on the client's historical interactions with the collection agency. If a client has a good history of communication with a particular collection agency, and that agency has a good understanding of the client's situation, subsequent overdue cases involving that client may be assigned to that agency first. For example, if Client A previously interacted with Collection Agency A and was highly receptive to the collector's communication style, resulting in an increased willingness to repay, subsequent overdue cases involving Client A could be assigned to Agency A, facilitating further collection efforts based on established communication.

[0068] 306. Allocate the target business execution task to the target business execution party.

[0069] In an embodiment of the present application, in the early stage, through the analysis of the business status attribute data, multi-dimensional information such as the overdue stage, total overdue amount, business scope, collection method, business cycle, etc. corresponding to the target business is obtained, and the target business execution task is generated based on this information. For example, for a passenger car leaseback business that is in the M3 overdue stage and has a large overdue amount, considering that the early telephone collection effect is not good, the generated execution task may be to arrange an external visit team to conduct an on-site investigation of the business's operating conditions, interview with the person in charge of the company to formulate a repayment plan, and prepare relevant materials for outsourced collection or legal proceedings. The target business executor is the subject responsible for the task determined according to the target allocation rules, that is, the collection team or collection agency. Assigning the target business execution task to the target business executor is to assign the specific collection task to the corresponding team or agency, so that it can clarify its responsibilities and work content and start to perform the collection work.

[0070] 307. Obtain business status change data fed back by the target business executor regarding the target business.

[0071] In an embodiment of the present application, the target business executor (such as a specific collection agency or team) will generate a series of information reflecting changes in business status during the collection process for the target business. This information is aggregated into business status change data. By obtaining this data, financial institutions can continuously monitor and manage overdue cases. Business status change data covers multiple aspects: repayment-related data, such as whether the repayment time and amount promised by the customer have changed, whether the repayment operation has actually been carried out and the repayment amount; customer status data, including whether the customer's contact information has changed, whether the business premises has changed, whether there are new signs of deterioration in financial conditions, etc.; collection progress data, such as whether the collection action has encountered obstacles, the customer's response to the collection measures, etc. For example, a customer who originally promised to repay on a certain date is unable to repay on time due to an unexpected financial situation and has changed the repayment time and amount. This is repayment-related business status change data. It should be noted that the system uses big data technology to support the tracing of the recovery status of each collection agency at each time node (i.e., business status change data), and the business status change data can be uploaded through a special collection management system in the prescribed format and time frequency; it can also be fed back through regular reports, instant messaging, etc. to ensure that financial institutions can obtain information in real time or in a timely manner.

[0072] 308. Obtain the total overdue amount from the business status attribute data, and obtain the total execution amount from the business status change data.

[0073] In the embodiments of this application, the total overdue amount is reflected in the business status attribute data. It refers to the total amount of arrears accumulated from the time of the overdue period for the target business. For example, if a customer fails to repay on time multiple times on a credit business, the total amount of overdue payments accumulated each time is the total overdue amount. This data reflects the scale of overdue funds for the business and is an important indicator for measuring the degree of business risk. By counting and analyzing the total overdue amount, we can clearly understand the overall situation of each overdue business, such as distinguishing between small and large overdue businesses, and provide basic data support for subsequent collection resource allocation and strategy formulation.

[0074] The total execution amount is derived from business status change data and primarily refers to the total amount actually recovered by the target business execution party during the collection process. After collection efforts begin, customers may gradually repay portions of their outstanding balances. The sum of these repayments constitutes the total execution amount, reflecting the actual results of the collection effort and providing a direct indicator of the effectiveness of the collection campaign in recovering funds. For example, a collection agency may use a series of measures, such as telephone collection and field visits, to encourage repayments from customers. These repayments accumulate to form the total execution amount, which financial institutions can use to assess the progress and effectiveness of collection efforts.

[0075] 309. Receive the target factor configuration corresponding to the target service selected by the service allocator from the factor configuration data based on the terminal held by the service allocator.

[0076] In the embodiment of the present application, matching the repayment schedule with the repayment write-off flow is the basis for calculating the recovery rate. The repayment schedule clearly specifies the time and amount of repayments due by the customer, and the repayment write-off flow records the actual repayment situation. The two are matched to determine the recovery amount, and then the preliminary recovery rate is calculated. For example, the repayment schedule of a credit card overdue customer shows that the repayment is 5,000 yuan, and the repayment write-off flow shows that the actual repayment is 3,000 yuan, and the recovery amount is 3,000 yuan. If the total overdue amount is 5,000 yuan, the preliminary recovery rate is 3,000 ÷ 5,000 = 60%. However, in order to make the recovery rate more accurately reflect the actual collection situation, multiple factors are introduced for weighted calculation.

[0077] Factor configuration data stores factor configuration information for multiple businesses. Factors refer to various factors that influence business status, such as the duration of overdue payments. Longer overdue periods generally mean greater difficulty and higher risk in repayment; willingness to repay. Customers with a high willingness to repay and active cooperation with collection efforts are more likely to repay later; collection history. The customer's level of cooperation and repayment status during previous collection processes can provide a reference for developing subsequent collection strategies; customer credit score, which reflects the customer's past credit status. Customers with low credit scores tend to have a higher risk of overdue payments; and customer asset status. Customers with sufficient assets are relatively more capable of repayment.

[0078] Based on the target business, business assigners select the corresponding target factor configuration from the factor configuration data. The target factor configuration includes multiple target factors and the corresponding weight coefficients for each target factor. The importance of each target factor varies across different businesses, and the weight coefficients are used to reflect these differences. For example, in credit card delinquency cases, willingness to repay and credit score may be given higher weights; in corporate business loan delinquency cases, the company's asset status and operating conditions may be given greater weights. This approach enables a more accurate assessment of the status of different business types.

[0079] 310. Calculate the total execution amount using multiple target factors and the weight coefficient corresponding to each target factor to obtain the actual execution amount of the target business executor.

[0080] In this embodiment, based on the total execution amount, multiple target factors and their corresponding weighting coefficients are used to calculate the actual execution amount for the target business execution party. These target factors can include settlement status, vehicle collection status, litigation status, company quality inspection, and customer complaints. This weighted calculation takes into account the varying degrees of impact of different factors on the business, further refining the calculation of the execution amount. For example, in overdue car loan cases, vehicle collection status is a significant factor. Successful collection and disposal of the vehicle to generate funds can significantly impact the recovery amount and recovery rate. In some credit loan cases, litigation status can be even more crucial, as successful recovery through litigation can significantly improve the recovery rate. The algorithm dynamically adjusts the weightings of these factors based on their actual performance, resulting in a more accurate recovery result for each recovery agency. For example, for a specific overdue case, assuming the total execution amount is 5,000 yuan, but considering the high weight of the vehicle collection status factor and smooth vehicle collection and disposal, the actual execution amount may be adjusted to 6,000 yuan after weighted calculation. However, if there are negative factors such as collection violations leading to customer complaints, the actual execution amount may be lowered.

[0081] In an optional implementation, various situations within the operation cycle will affect the recovery rate calculation. If the collection recording is detected by intelligent monitoring of violations, it indicates that there are problems in the collection process, which may affect the customer's willingness and repayment behavior, and the recovery amount will be discounted. If the customer settles the outstanding debt within the cycle, the recovery amount needs to be adjusted according to the specific conditions and methods of settlement. These adjustments can more accurately reflect the actual effectiveness and recovery status of the collection work. Combining multiple factors to calculate the actual execution amount and business status evaluation indicators can overcome the one-sidedness of single indicator evaluation and comprehensively and accurately measure the risk of overdue cases.

[0082] 311. The ratio of the actual execution amount of the target business executor to the total overdue amount shall be used as the business status assessment indicator of the target business.

[0083] In the embodiment of the present application, the ratio of the actual execution amount of the target business executor to the total overdue amount is used as the business status evaluation indicator of the target business, that is, the recovery rate. This indicator comprehensively reflects the relationship between the actual recovery effect of the target business in the collection process and the overdue scale. If the total overdue amount of a target business is 10,000 yuan and the actual execution amount of the target business executor is 4,000 yuan, then the business status evaluation index is 0.4, and the recovery rate is 40%. By obtaining the business status change data fed back by multiple target business executors and combining them with the corresponding target factor configuration for calculation, the actual execution amounts of multiple business executors can be obtained, thereby more comprehensively evaluating the overall status of the target business.

[0084] In one optional implementation, business status change data reported by multiple target business executors is obtained, and the total execution amount is obtained from each business status change data, resulting in the total execution amount corresponding to each target business executor. The total execution amount refers to the total amount of outstanding debts actually recovered by a collection agency within a specific operating cycle. For example, during the operating cycle from April 11 to May 11, 2025, Agency A used various collection methods to encourage customers to repay their debts. The accumulated repayment amounts constitute Agency A's total execution amount. This data provided by different collection agencies can intuitively demonstrate their fund recovery achievements in their respective cases. The business dispatcher then receives the target factor configuration corresponding to each target business executor, selected from the factor configuration data held by the terminal. This factor configuration data includes various factors that influence business status, such as overdue duration, willingness to repay, customer credit score, asset status, collection methods, and litigation status. Each factor also has a corresponding weight coefficient. The weighting of each factor varies depending on the type of business or case characteristics. For example, for overdue auto loan cases, the vehicle disposal status (repossession status) factor may have a higher weight; for overdue credit loan cases, the customer credit score factor may have a higher weight. The target factor configuration corresponding to each target business executor is then used to calculate the total execution amount for each target business executor, resulting in the actual execution number for each target business executor. This process weights the total execution amount, taking into account the impact of each factor on the recovery effort. For example, if the vehicle recovery situation in a case handled by Institution A is good (corresponding to a high factor weight), a certain bonus will be added to the total execution amount. However, if there are a large number of customer complaints (negative factors), a discount will be applied to the total execution amount. In this way, the calculated actual execution amount more accurately reflects the actual work performance of the collection agency. The total overdue amount and the actual execution amount of each target business executor are then used to calculate the target business's business status assessment indicator, namely, the recovery rate. The target business's recovery rate directly reflects the extent of fund recovery during the collection process for each business. Financial institutions can use this metric to assess the effectiveness of each business's collection efforts and understand the actual fund recovery situation. For businesses with low recovery rates, in-depth analysis of the causes, such as inappropriate collection strategies or insufficient customer repayment capacity, can be used to adjust collection strategies, increase collection efforts, or adopt more appropriate collection methods.

[0085] In an optional implementation, a business status assessment indicator is also calculated for each collection entity. First, the total execution amount of all transactions handled by the collection entity within a specific period is obtained. The total overdue amount of these transactions is then calculated and divided by the total execution amount to determine the collection entity's recovery rate. For example, suppose Institution A is responsible for 10 transactions in a month, with a total overdue amount of 500,000 yuan. Institution A actually recovers 200,000 yuan. Therefore, Institution A's recovery rate is 20 ÷ 50 = 40%. It should be noted that the calculation process comprehensively considers business status change data and adjustments to the total execution amount due to factor configuration to obtain a more accurate calculation of the actual execution amount. An institution's recovery rate reflects the overall collection capabilities and effectiveness of the collection agency. By comparing the recovery rates of different institutions, financial institutions can assess their collection capabilities. Institutions with high recovery rates demonstrate effective collection strategies and strong team execution, and may consider increasing their caseload. Institutions with low recovery rates should analyze whether the impact is on individual transactions or overall capacity, and provide targeted guidance or adjust cooperation strategies.

[0086] 312. Use visual display dimension rules to group and display business status attribute data, business status change data and business status evaluation indicators.

[0087] In an embodiment of the present application, a business status preset indicator is obtained from the business status attribute data, a visual display method of the business status indicator is obtained from the visual display dimension rule, and the business status preset indicator and the business status evaluation indicator are compared and displayed using the visual display method of the business status indicator. Multiple display dimensions and a visual display method of each display dimension are obtained from the visual display dimension rule, and the business status attribute data and the business status change data are displayed based on the multiple display dimensions and the visual display method of each display dimension. The visual display method can be displayed in the form of charts (such as line charts, bar charts) and dashboards. The line chart is used to display the trend of indicators such as the recovery rate over time; the bar chart can be used to compare the recovery data of different overdue stages or business scopes; the dashboard can intuitively display the current values ​​of key indicators and the achievement of targets. Multiple display dimensions include overdue stage, business scope, collection method, account period, etc., which can fully understand the collection performance under different dimensions. In this way, you can view the overall recovery situation, and also subdivide it into specific overdue stages, business scope, collection method and other dimensions to fully grasp the business details and discover potential problems and opportunities.

[0088] In one optional implementation, business status attribute data includes information such as overdue stage (e.g., M1, M2), business scope (passenger car leaseback, commercial vehicle and light truck, etc.), and collection method (telephone reminder, on-site visit). This data is grouped and displayed by overdue stage, business scope, and other dimensions, allowing business personnel to quickly understand the basic attributes of different case types.

[0089] In one optional implementation, business status change data includes information such as the total execution amount, changes in customer repayment status, and the progress of collection actions. Visual reports will display how this change data evolves over time or as the business progresses. For example, a chart showing the time-series progress of daily monitoring indicators will show how indicators such as the actual recovery rate change over time, intuitively demonstrating the dynamic changes in business status.

[0090] In one optional implementation, the core business status assessment indicator is the recovery rate. In the visualization, the actual recovery rate is compared with the target recovery rate. For example, in relevant reports, data such as the monthly target value and target gap are clearly listed to facilitate comparative analysis. Furthermore, recovery results are grouped by overdue stage, business scope, and other dimensions, facilitating assessment of business status from different perspectives.

[0091] An optional implementation approach might include year-over-year and month-over-month displays. By comparing collection data from different years and months, such as recovery rates and delinquency rates, business trends can be clearly visualized. For example, if the recovery rates for consecutive months show an upward trend, the collection strategy may be effective; if it declines, the cause should be analyzed and the strategy adjusted. Year-over-year comparisons can be used to assess long-term business performance and to draw lessons learned while developing plans for the new year.

[0092] The present embodiment provides a method for displaying business status data. Compared with the prior art, the present embodiment obtains business status attribute data of a target business, selects a target allocation rule corresponding to the target business from the allocation rule configuration data, determines a target business executor for the business status attribute data based on the target allocation rule, and assigns the target business to the target business executor. The business status attribute data indicates the state characteristics of the target business, and the target allocation rule is used to determine at least one business executor who will execute the business status attribute data. By selecting the target allocation rule from the allocation rule configuration data, the executor of the target business can be accurately determined, matching the business with the appropriate executor, and improving the efficiency and professionalism of business execution. Next, business status change data feedback from the target business executor for the target business is obtained, and a target factor configuration corresponding to the target business is selected from the factor configuration data. The target factor configuration is used to calculate the business status attribute data and the business status change data to obtain a business status evaluation index for the target business. The factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and the weight coefficients of each factor. Utilizing factor configuration data and its factors and weight coefficients to calculate business status assessment indicators makes the assessment more scientific and quantitative, avoiding subjective and arbitrary judgments. This provides an objective basis for business status assessment and helps enterprises accurately grasp business progress and results. Visual display dimension rules are then used to group and display business status attribute data, business status change data, and business status assessment indicators. This grouping and display of business status attribute data, change data, and assessment indicators is intuitively presented, facilitating business personnel's rapid understanding of complex data information and aiding decision-making. Therefore, from acquiring business status attribute data to allocating business operations, obtaining feedback data, calculating assessment indicators, and finally visualizing them, each link is closely linked and the process is standardized, ensuring the accuracy and consistency of business data processing and contributing to the construction of a stable and efficient business management system.

[0093] Further, as Figure 2 The specific implementation of the method, the embodiment of the present application provides a business status data display device, such as Figure 4 As shown, the apparatus includes: a first acquisition module 401 , an allocation module 402 , a second acquisition module 403 , a calculation module 404 and a display module 405 .

[0094] A first acquisition module 401 is configured to acquire service status attribute data of a target service, wherein the service status attribute data indicates status characteristics of the target service;

[0095] An allocation module 402 is configured to select a target allocation rule corresponding to the target service from the allocation rule configuration data, determine a target service executor for the service status attribute data based on the target allocation rule, and allocate the target service to the target service executor, wherein the target allocation rule is used to determine at least one service executor for executing the service status attribute data;

[0096] The second acquisition module 403 is used to obtain the service status change data fed back by the target service executor regarding the target service;

[0097] A calculation module 404 is configured to select a target factor configuration corresponding to the target service from the factor configuration data, and calculate the service status attribute data and the service status change data using the target factor configuration to obtain a service status evaluation index for the target service. The factor configuration data is configured to store factor configurations corresponding to multiple services, and the factor configurations are configured to determine the service status evaluation index based on multiple factors and a weight coefficient for each factor.

[0098] The display module 405 is used to group and display the business status attribute data, the business status change data, and the business status evaluation indicators using visual display dimension rules.

[0099] In a specific application scenario, the allocation module 402 is used to obtain at least one business overdue period corresponding to the target business in the business status attribute data, and the overdue start time corresponding to each of the business overdue periods; select the earliest overdue start time in at least one overdue start time as the target overdue start time; obtain the current time, and determine the business overdue duration corresponding to the target business according to the target business overdue start time and the current time; obtain the overdue stage division rule, and determine the overdue stage corresponding to the business overdue duration according to the overdue stage division rule to obtain the overdue stage corresponding to the target business; obtain the overdue amount corresponding to each of the business overdue periods in the business status attribute data, and use the sum of at least one overdue amount as the total overdue amount corresponding to the target business; obtain the business corresponding to the target business in the business status attribute data The target business execution task is generated by adopting the overdue stage corresponding to the target business, the total overdue amount corresponding to the target business, the business scope corresponding to the target business, the execution method corresponding to the target business, and the business cycle corresponding to the target business; receiving the target allocation rule corresponding to the target business selected by the business allocation personnel based on the terminal held in the allocation rule configuration data; based on the target allocation rule, determining the target business executor who executes the target business execution task according to the overdue stage corresponding to the target business, the business scope corresponding to the target business, and the execution method corresponding to the target business, the target allocation rule indicates the mapping relationship between the overdue stage, business scope, execution method and business executor; and allocating the target business execution task to the target business executor.

[0100] In a specific application scenario, the allocation module 402 is used to obtain multiple business executors and the business status evaluation indicators of each of the business executors; sort the multiple business executors in descending order according to the business status evaluation indicators, and take the business executor ranked first as the target business executor.

[0101] In a specific application scenario, the allocation module 402 is used to determine multiple designated business executors who execute the target business execution task according to the target allocation rule, and the target allocation rule includes the allocation ratio corresponding to each of the designated business executors; determine the overdue allocation amount corresponding to each of the designated business executors according to the total overdue amount and the allocation ratio corresponding to each of the designated business executors; divide the target business execution task into the target business allocation task corresponding to each of the designated business executors according to the overdue allocation amount corresponding to each of the designated business executors; and push the target business allocation task corresponding to each of the designated business executors to each of the designated business executors respectively.

[0102] In a specific application scenario, the calculation module 404 is used to obtain the total overdue amount in the business status attribute data and the total execution amount in the business status change data; receive the target factor configuration corresponding to the target business selected by the business allocation personnel in the factor configuration data based on the terminal held, the target factor configuration including multiple target factors and a weight coefficient corresponding to each target factor; use the multiple target factors and the weight coefficient corresponding to each target factor to calculate the total execution amount to obtain the actual execution amount of the target business executor; and use the ratio of the actual execution amount of the target business executor to the total overdue amount as the business status evaluation indicator of the target business.

[0103] In a specific application scenario, the calculation module 404 is used to obtain business status change data fed back by multiple target business executors, obtain the total execution amount in each of the business status change data, and obtain the total execution amount corresponding to each of the target business executors; receive the target factor configuration corresponding to each of the target business executors selected by the business allocation personnel based on the factor configuration data held by the terminal; use the target factor configuration corresponding to each of the target business executors to calculate the total execution amount corresponding to each of the target business executors, and obtain the actual execution amount of each of the target business executors; use the total overdue amount and the actual execution amount of each of the target business executors to calculate the business status evaluation index of the target business.

[0104] In a specific application scenario, the display module 405 is used to obtain the business status preset indicators from the business status attribute data, obtain the visual display method of the business status indicators in the visual display dimension rules, and use the visual display method of the business status indicators to compare and display the business status preset indicators and the business status evaluation indicators; obtain multiple display dimensions and the visual display method of each display dimension in the visual display dimension rules, and display the business status attribute data and the business status change data respectively based on the multiple display dimensions and the visual display method of each display dimension.

[0105] The present embodiment provides a device that, compared to the prior art, obtains business status attribute data for a target business, selects a target allocation rule corresponding to the target business from allocation rule configuration data, determines a target business executor for the business status attribute data based on the target allocation rule, and assigns the target business to the target business executor. The business status attribute data indicates the state characteristics of the target business, and the target allocation rule is used to determine at least one business executor who will execute the business status attribute data. By selecting a target allocation rule from the allocation rule configuration data, the executor of the target business can be accurately determined, matching the business with the appropriate executor, thereby improving business execution efficiency and professionalism. Next, business status change data feedback from the target business executor regarding the target business is obtained, and a target factor configuration corresponding to the target business is selected from the factor configuration data. The target factor configuration is used to calculate the business status attribute data and the business status change data to obtain a business status evaluation indicator for the target business. The factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation indicator based on multiple factors and the weight coefficients of each factor. Utilizing factor configuration data and its factors and weight coefficients to calculate business status assessment indicators makes the assessment more scientific and quantitative, avoiding subjective and arbitrary judgments. This provides an objective basis for business status assessment and helps enterprises accurately grasp business progress and results. Visual display dimension rules are then used to group and display business status attribute data, business status change data, and business status assessment indicators. This grouping and display of business status attribute data, change data, and assessment indicators is intuitively presented, facilitating business personnel's rapid understanding of complex data information and aiding decision-making. Therefore, from acquiring business status attribute data to allocating business operations, obtaining feedback data, calculating assessment indicators, and finally visualizing them, each link is closely linked and the process is standardized, ensuring the accuracy and consistency of business data processing and contributing to the construction of a stable and efficient business management system.

[0106] It should be noted that for other corresponding descriptions of the functional units involved in the service status data display device provided in the embodiment of the present application, please refer to Figure 2 and Figure 3 The corresponding description in will not be repeated here.

[0107] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0108] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0109] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

[0110] In an exemplary embodiment, see Figure 5 A computer device is also provided, comprising a bus, a processor, a memory, and a communication interface. The computer device may also include an input / output interface and a display device, wherein the various functional units can communicate with each other via the bus. The memory stores a computer program, and the processor is configured to execute the program stored in the memory and perform the service status data display method in the above-described embodiment.

[0111] A computer-readable storage medium stores a computer program, which implements the steps of the business status data display method when executed by a processor.

[0112] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented through hardware or by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0113] Those skilled in the art will understand that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required to implement the present application.

[0114] Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the implementation scenario description, or can be modified accordingly and located in one or more devices different from the implementation scenario. The modules in the above implementation scenario can be combined into one module or further split into multiple submodules.

[0115] The above application serial numbers are for description only and do not represent the advantages or disadvantages of the implementation scenarios.

[0116] The above disclosure only describes several specific implementation scenarios of the present application. However, the present application is not limited thereto, and any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present application.

Claims

1. A method for displaying business status data, characterized in that: include: Acquire service status attribute data of a target service, wherein the service status attribute data indicates a status characteristic of the target service; Selecting a target allocation rule corresponding to the target business in the allocation rule configuration data, determining a target business executor for the business status attribute data based on the target allocation rule, and allocating the target business to the target business executor, wherein the target allocation rule is used to determine at least one business executor for executing the business status attribute data; Obtaining service status change data fed back by the target service executor regarding the target service; Selecting a target factor configuration corresponding to the target business from the factor configuration data, and calculating the business status attribute data and the business status change data using the target factor configuration to obtain a business status evaluation index for the target business, wherein the factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and a weight coefficient of each factor; The business status attribute data, the business status change data and the business status evaluation indicators are grouped and displayed using visual display dimension rules.

2. The method according to claim 1, characterized in that The selecting a target allocation rule corresponding to the target business in the allocation rule configuration data, determining a target business executor based on the target allocation rule using the business status attribute data, and allocating the target business to the target business executor includes: Obtaining at least one overdue period corresponding to the target business and the overdue start time corresponding to each overdue period from the business status attribute data; Selecting the earliest overdue start time from at least one overdue start time as the target overdue start time; Obtain the current time, and determine the overdue duration of the target business according to the overdue start time of the target business and the current time; Obtaining an overdue stage classification rule, determining the overdue stage corresponding to the overdue duration of the business according to the overdue stage classification rule, and obtaining the overdue stage corresponding to the target business; Obtaining the overdue amount corresponding to each overdue period of the business from the business status attribute data, and taking the sum of at least one overdue amount as the total overdue amount corresponding to the target business; Obtaining the business scope, execution method, and business cycle corresponding to the target business from the business status attribute data, and generating a target business execution task using the overdue stage, total overdue amount, business scope, execution method, and business cycle corresponding to the target business; receiving a target allocation rule corresponding to the target service selected by a service allocation personnel in the allocation rule configuration data based on the terminal held by the service allocation personnel; Based on the target allocation rule, determining the target business executor who executes the target business execution task according to the overdue stage corresponding to the target business, the business scope corresponding to the target business, and the execution method corresponding to the target business, wherein the target allocation rule indicates a mapping relationship between the overdue stage, the business scope, the execution method, and the business executor; Allocate the target business execution task to the target business executor.

3. The method according to claim 2, characterized in that The method further comprises: Acquire multiple business executors and a business status evaluation indicator of each of the business executors; The multiple business executors are sorted in descending order according to the business status evaluation indicators, and the business executor ranked first is used as the target business executor.

4. The method according to claim 2, characterized in that The method further comprises: Determining multiple designated business executors to perform the target business execution task according to the target allocation rule, wherein the target allocation rule includes an allocation ratio corresponding to each of the designated business executors; Determine the overdue allocation amount corresponding to each designated business executor based on the total overdue amount and the allocation ratio corresponding to each designated business executor; Dividing the target business execution task into target business allocation tasks corresponding to each designated business executor according to the overdue allocation amount corresponding to each designated business executor; The target business allocation task corresponding to each designated business executor is pushed to each designated business executor respectively.

5. The method according to claim 1, wherein The step of selecting a target factor configuration corresponding to the target service from the factor configuration data, and calculating the service status attribute data and the service status change data using the target factor configuration to obtain a service status evaluation index for the target service includes: Obtaining the total overdue amount from the business status attribute data, and obtaining the total executed amount from the business status change data; receiving a target factor configuration corresponding to the target service selected by a service allocator from the factor configuration data based on the terminal held by the service allocator, the target factor configuration including a plurality of target factors and a weight coefficient corresponding to each target factor; Calculating the total execution amount using the multiple target factors and the weight coefficient corresponding to each target factor to obtain the actual execution amount of the target business executor; The ratio of the actual execution amount of the target business executor to the total overdue amount is used as the business status evaluation indicator of the target business.

6. The method according to claim 5, characterized in that The method further comprises: Obtaining business status change data fed back by multiple target business executors, obtaining a total execution amount from each of the business status change data, and obtaining a total execution amount corresponding to each of the target business executors; receiving a target factor configuration corresponding to each target service executor selected from the factor configuration data by a service allocator based on a terminal held by the operator; Using the target factor configuration corresponding to each target business executor, the total execution amount corresponding to each target business executor is calculated to obtain the actual execution amount of each target business executor; The business status evaluation index of the target business is calculated using the total overdue amount and the actual execution amount of each target business executor.

7. The method according to claim 1, characterized in that The adopting of visual display dimension rules to group and display the business status attribute data, the business status change data, and the business status evaluation indicators includes: Obtaining a preset business status indicator from the business status attribute data, obtaining a visual display method for the business status indicator from the visual display dimension rule, and comparing and displaying the preset business status indicator and the business status evaluation indicator using the visual display method for the business status indicator; Multiple display dimensions and a visual display method for each display dimension are obtained from the visual display dimension rule, and the business status attribute data and the business status change data are displayed respectively based on the multiple display dimensions and the visual display method for each display dimension.

8. A business status data display device, characterized in that: include: A first acquisition module is configured to acquire service status attribute data of a target service, wherein the service status attribute data indicates a status feature of the target service; an allocation module, configured to select a target allocation rule corresponding to the target business from the allocation rule configuration data, determine a target business executor for the business status attribute data based on the target allocation rule, and allocate the target business to the target business executor, wherein the target allocation rule is used to determine at least one business executor for executing the business status attribute data; A second acquisition module is used to obtain the service status change data fed back by the target service executor regarding the target service; a calculation module, configured to select a target factor configuration corresponding to the target business from the factor configuration data, and calculate the business status attribute data and the business status change data using the target factor configuration to obtain a business status evaluation index for the target business, wherein the factor configuration data is used to store factor configurations corresponding to multiple businesses, and the factor configuration is used to determine the business status evaluation index based on multiple factors and a weight coefficient of each factor; The display module is used to group and display the business status attribute data, the business status change data and the business status evaluation indicators using visual display dimension rules.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images