CN117010624A

CN117010624A - Financial business task management method, device, computer equipment and storage medium

Info

Publication number: CN117010624A
Application number: CN202310796527.9A
Authority: CN
Inventors: 龙长江
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2023-06-30
Filing date: 2023-06-30
Publication date: 2023-11-07

Abstract

The embodiment of the application belongs to the field of financial science and technology, and relates to a financial business task management method, which is used for acquiring an upstream task dependency relationship and a downstream task dependency relationship; acquiring all task lines associated with the index task, and calculating a first completion time of the service task; acquiring a current task, and detecting whether the execution time of the current task exceeds a first completion time; if the execution time does not exceed the first completion time, carrying out optimization processing on the current task according to the execution progress; if the execution time exceeds the first completion time, acquiring a second completion time of the task line; and detecting whether the second completion time is longer than the task completion time, and if so, performing optimization processing on the business task. The application also provides a financial business task management device, computer equipment and a storage medium. The application can judge the business task affecting the business index and effectively adjust the judged business task.

Description

Financial business task management method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of financial science and technology, and in particular, to a financial business task management method, a system, a computer device, and a storage medium.

Background

In financial business, in order to reach a specified business index, the whole financial business needs to be planned into a plurality of business tasks, and one or more execution subjects execute the business tasks, so that the achievement of the business index is effectively realized.

When planning the service tasks, not only the number of the service tasks and the efficiency required to be achieved, but also the completion time nodes of the service tasks are required to be planned, and when each service task is completed according to the time nodes, the index timeliness of the service can be effectively realized.

However, in the execution process of the service task, some tasks may reach the task target for longer than a specified time node due to improper execution or insufficient resources, so that the subsequent service task execution of the task is affected and cannot be completed in the specified time node. When the execution of the service tasks exceeds the time node, the delay of which critical tasks can be adjusted can not be determined, and the critical tasks which are determined to be adjusted in the mode of manual subjective judgment are currently used, but the critical tasks determined in the mode have redundancy, and the overtime of some critical tasks has no or little influence on the final service index, or the overtime of some non-critical tasks has great influence on the final service index, so that the critical tasks cannot be effectively judged, thereby being difficult to realize the effective adjustment of the service tasks and causing the waste of manpower resources and cost.

Disclosure of Invention

The embodiment of the application aims to provide a financial business task management method, a financial business task management device, computer equipment and a financial business task management storage medium, so as to solve the problem that business tasks affecting business indexes cannot be judged and the judged business tasks can be effectively adjusted.

In order to solve the above technical problems, the embodiment of the present application provides a financial business task management method, which adopts the following technical scheme:

acquiring task dependency relations corresponding to business tasks from a database, wherein the task dependency relations comprise: an upstream task dependency relationship and a downstream task dependency relationship;

acquiring an index task, acquiring all task lines associated with the index task according to the upstream task dependency relationship, and calculating a first completion time of each business task before the index task is completed in the task lines;

acquiring a current task, and detecting whether the execution time of the current task exceeds the first completion time;

if the execution time does not exceed the first completion time, acquiring the execution progress of the current task, and when the execution progress is smaller than a preset detection threshold, performing optimization processing on the current task until the execution progress is greater than or equal to the detection threshold;

If the execution time exceeds the first completion time, predicting the time for completing the task line according to the downstream task dependency relationship and the execution progress to obtain a second completion time; a kind of electronic device with high-pressure air-conditioning system

Acquiring task completion time, detecting whether the second completion time is longer than the task completion time, and if so, optimizing the service task in the task line until the second completion time is shorter than or equal to the task completion time.

Further, before the step of obtaining the task dependency relationship corresponding to the service task from the database, the method specifically includes:

acquiring a service index, and searching a corresponding service task in a database according to the service index;

acquiring a task name of the service task, and performing task association on the service task to obtain an upstream task and a downstream task corresponding to the service task; a kind of electronic device with high-pressure air-conditioning system

And inputting the task names, the upstream tasks and the downstream tasks into a database to perform task dependency relationship arrangement, and generating a task dependency relationship table.

Further, the step of obtaining the task dependency relationship corresponding to the service task from the database specifically includes:

Extracting a task dependency relationship table from the database;

and acquiring the upstream task dependency relationship and the downstream task dependency relationship corresponding to the business task from the task dependency relationship table.

Further, the step of acquiring the index task, acquiring all task lines associated with the index task according to the upstream task dependency relationship, and calculating a first completion time of each service task before completing the index task in the task lines specifically includes:

determining the index task in the service tasks according to the service index;

acquiring a business task on which the index task depends according to the upstream task dependency relationship, and correlating the business task to obtain the task line;

acquiring a first historical operation time length required by the completion of the historical operation of the business task and a second historical operation time length required by the completion of the historical operation of the index task;

calculating an average value of the first historical operation time length to obtain a first stable operation time length;

calculating an average value of the second historical operation time length to obtain a second stable operation time length; a kind of electronic device with high-pressure air-conditioning system

And calculating the first completion time of each business task according to the task completion time, the first stable operation time length and the second stable operation time length.

Further, the step of obtaining the execution progress of the current task, when the execution progress is smaller than a preset detection threshold, performing optimization processing on the current task until the execution progress is greater than or equal to the detection threshold, specifically includes:

acquiring an execution progress corresponding to the current task;

acquiring a preset detection threshold, and detecting whether the execution progress is greater than or equal to the detection threshold;

if the execution progress is greater than or equal to the detection threshold, detecting the current task again after the next preset time interval; a kind of electronic device with high-pressure air-conditioning system

And if the execution progress is smaller than the detection threshold, performing optimization processing on the current task, and acquiring the execution progress again until the execution progress is larger than or equal to the detection threshold.

Further, the step of predicting the time for completing the task line according to the downstream task dependency relationship to obtain a second completion time specifically includes:

acquiring a task line and a business task corresponding to the current task according to the downstream task dependency relationship;

acquiring the historical operation time length of the service task, calculating the average value of the historical operation time length, and taking the average value as the effective operation time length of the service task; a kind of electronic device with high-pressure air-conditioning system

And acquiring the execution time of the current task, and calculating the time for completing the task line according to the execution time and the effective operation time length corresponding to the business task operated after the execution time to obtain the second completion time.

Further, the step of obtaining the task completion time, detecting whether the second completion time is greater than the task completion time, and if the second completion time is greater than the task completion time, performing optimization processing on the service task in the task line until the second completion time is less than or equal to the task completion time, specifically includes:

acquiring a service index, and searching corresponding service tasks and service information in a database according to the service index, wherein the service information comprises: index aging and service start time;

calculating the time for completing all the business tasks according to the index timeliness and the business start time to obtain the task completion time;

acquiring the second completion time, and detecting whether the second completion time is greater than the task completion time;

if the second completion time is less than or equal to the task completion time, re-acquiring the second completion time after a preset time interval and detecting again; a kind of electronic device with high-pressure air-conditioning system

And if the second completion time is longer than the task completion time, acquiring a task line corresponding to the completion time, optimizing the service task of the task line after the current task, and re-detecting the second completion time of the task line after the optimization until the second completion time is less than or equal to the task completion time.

In order to solve the above technical problems, the embodiment of the present application further provides a financial service task management device, which adopts the following technical scheme:

the system comprises a dependency acquisition module, a task dependency relation acquisition module and a task execution module, wherein the dependency acquisition module is used for acquiring task dependency relations corresponding to business tasks from a database, and the task dependency relations comprise: an upstream task dependency relationship and a downstream task dependency relationship;

the task limiting module is used for acquiring an index task, acquiring all task lines associated with the index task according to the upstream task dependency relationship, and calculating first completion time of each business task before the index task is completed in the task lines;

the execution detection module is used for acquiring a current task and detecting whether the execution time of the current task exceeds the first completion time;

The first optimizing module is used for acquiring the execution progress of the current task if the execution time does not exceed the first completion time, and optimizing the current task until the execution progress is greater than or equal to a preset detection threshold value when the execution progress is smaller than the preset detection threshold value;

the task prediction module is used for predicting the time for completing the task line according to the downstream task dependency relationship and the execution progress if the execution time exceeds the first completion time, so as to obtain a second completion time; a kind of electronic device with high-pressure air-conditioning system

And the second optimizing module is used for acquiring task completion time, detecting whether the second completion time is greater than the task completion time, and if the second completion time is greater than the task completion time, optimizing the service task in the task line until the second completion time is less than or equal to the task completion time.

In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:

a computer device comprising a memory having stored therein computer readable instructions which when executed by the processor implement the steps of the financial transaction task management method of any of the preceding claims.

In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:

a computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the financial transaction task management method of any of the preceding claims.

Compared with the prior art, the embodiment of the application has the following main beneficial effects: according to the embodiment, the task dependency relationship corresponding to the business task is obtained, so that the upstream task and the downstream task which are depended on by the business task can be effectively identified, and the task which has a key influence on the business index is found out. By acquiring the index task, searching all task lines associated with the index task according to the upstream task dependency relationship and the index task, and calculating the first completion time of the latest completion allowed by the service task on the task lines, whether the execution of the service task is overtime or not can be effectively judged according to the first completion time. And after the judgment, the corresponding service tasks are optimized according to different judgment conditions according to the overtime conditions of the corresponding service tasks, so that the judgment of the service tasks affecting the service index can be realized, and the judged service tasks can be effectively adjusted. According to the embodiment, financial business can be reasonably planned and adjusted, so that tasks corresponding to the business can be completed in a preset time limit on time, the preset index timeliness of the business is achieved, and the processing speed of the financial business is improved.

Drawings

In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow chart of one embodiment of a financial transaction task management method according to the present application;

FIG. 3 is a flow chart of one embodiment of step S10 of FIG. 2;

FIG. 4 is a flow chart of one embodiment of step S20 of FIG. 2;

FIG. 5 is a flow chart of one embodiment of step S40 of FIG. 2;

FIG. 6 is a flow chart of one embodiment of step S50 of FIG. 2;

FIG. 7 is a flow chart of one embodiment of step S60 of FIG. 2;

FIG. 8 is a schematic diagram illustrating the construction of one embodiment of a financial transaction task management system in accordance with the present application;

FIG. 9 is a schematic structural view of one embodiment of a computer device according to the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture ExpertsGroup Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving PictureExperts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.

It should be noted that, the financial business task management method provided by the embodiment of the application is generally executed by a server, and accordingly, the financial business task management computing device is generally disposed in the server.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow chart of one embodiment of a method of financial business task management computation is shown in accordance with the present application. The financial business task management method comprises the following steps:

step S10, acquiring task dependency relations corresponding to business tasks from a database, wherein the task dependency relations comprise: an upstream task dependency relationship and a downstream task dependency relationship;

step S20, acquiring an index task, acquiring all task lines associated with the index task according to the upstream task dependency relationship, and calculating a first completion time of each business task before the index task is completed in the task lines;

Step S30, acquiring a current task, and detecting whether the execution time of the current task exceeds the first completion time;

step S40, if the execution time does not exceed the first completion time, acquiring the execution progress of the current task, and when the execution progress is smaller than a preset detection threshold, performing optimization processing on the current task until the execution progress is greater than or equal to the detection threshold;

step S50, if the execution time exceeds the first completion time, predicting the time for completing the task line according to the downstream task dependency relationship and the execution progress to obtain a second completion time; a kind of electronic device with high-pressure air-conditioning system

Step S60, acquiring task completion time, detecting whether the second completion time is greater than the task completion time, and if so, performing optimization processing on the business task in the task line until the second completion time is less than or equal to the task completion time.

According to the embodiment, the task dependency relationship corresponding to the business task is obtained, so that the upstream task and the downstream task which are depended on by the business task can be effectively identified, and the task which has a key influence on the business index is found out. By acquiring the index task, searching all task lines associated with the index task according to the upstream task dependency relationship and the index task, and calculating the first completion time of the latest completion allowed by the service task on the task lines, whether the execution of the service task is overtime or not can be effectively judged according to the first completion time. And after the judgment, the corresponding service tasks are optimized according to different judgment conditions according to the overtime conditions of the corresponding service tasks, so that the judgment of the service tasks affecting the service index can be realized, and the judged service tasks can be effectively adjusted.

In this embodiment, the business tasks are tasks that are correspondingly divided by financial business, and there are corresponding task lines for different business tasks, for example: in marketing business, the divided business tasks include: marketing activities, customer screening, marketing list acquisition, marketing list conversion, conversion customer maintenance, telephone access, intention investigation, customer return visit, website flow acquisition, flow screening and marketing conversion; the corresponding task lines include: marketing activities, client screening, list acquisition, marketing conversion, telephone access, intention investigation, client return visit, list acquisition, marketing conversion, website flow acquisition, flow screening, list acquisition, marketing conversion and the like. In this marketing business, the task index to be achieved is the conversion of X clients/members, so marketing is converted into an index task of the marketing business. The key tasks affecting the results of the index tasks can be obtained according to the upstream task dependency relationship and the downstream task dependency relationship of the service tasks, for example: for the customer return visit in the business task, the telephone access and the intention investigation are carried out on the upstream task, the list acquisition and the marketing conversion are carried out on the downstream task, and the marketing activity and the business task have no dependency relationship, so that the marketing activity is not selected when the task influencing the customer return visit is selected. For the client screening in the business tasks, the upstream task is the marketing activity, so whether the marketing activity is overtime or not can influence the execution of the client screening task, further influence the time of finally reaching the business index of the task line, and therefore, when the task influencing the client screening is selected, the marketing activity is selected.

In some optional implementations of the present embodiment, before step S10, the following steps are further included:

According to the embodiment, the task names of the business tasks and the corresponding upstream tasks and downstream tasks are input into the database, so that task dependency relations can be conveniently tidied, and a task dependency relation table corresponding to the business tasks is obtained.

In this embodiment, the database is redis, the task name is used as a key value, and the upstream task and the downstream task are written into the redis as value values to perform task dependency relationship combing, so that the task dependency relationship table is quickly and conveniently obtained.

With continued reference to fig. 3, in some alternative implementations of the present embodiment, step S10 includes the steps of:

step S101, extracting a task dependency relationship table from the database;

Step S102, obtaining the upstream task dependency relationship and the downstream task dependency relationship corresponding to the service task from the task dependency relationship table.

According to the embodiment, the task dependency relationship table is extracted from the database, so that the upstream task dependency relationship and the downstream task dependency relationship corresponding to the business task can be effectively obtained, and the upstream task and the downstream task of the business task can be quickly and conveniently searched.

In this embodiment, the database is redis, and the database also stores an aging relation table of service indexes and corresponding index aging, and by using the aging relation table, the index aging corresponding to the service indexes can be quickly obtained.

With continued reference to fig. 4, in some alternative implementations of the present embodiment, step S20 includes the steps of:

step S201, determining the index task in the service tasks according to the service index;

step S202, acquiring business tasks depended on the index tasks according to the upstream task dependency relationship, and correlating the business tasks to obtain the task line;

step S203, a first historical operation duration required by the completion of the historical operation of the business task and a second historical operation duration required by the completion of the historical operation of the index task are obtained;

Step S204, calculating an average value of the first historical operation time length to obtain a first stable operation time length;

step S205, calculating an average value of the second historical operation time length to obtain a second stable operation time length; a kind of electronic device with high-pressure air-conditioning system

Step S206, calculating the first completion time of each service task according to the task completion time, the first stable operation duration, and the second stable operation duration.

In this embodiment, the task line associated with the index task can be obtained according to the dependency relationship between the index task and the upstream task by determining the index task, and in this embodiment, the index task and the task line are described in the description of the index task and the task line, for example. The method and the device have the advantages that the first historical operation time length required by the completion of the historical operation of the business task is obtained, the average value calculation is carried out on the obtained first historical operation time length, the objective first stable operation time length can be effectively obtained, and similarly, the second historical operation time length required by the completion of the historical operation of the index task is obtained, the average value calculation is carried out, and the objective second stable operation time length can be effectively obtained. In this embodiment, the obtained first historical operation duration and second historical operation duration each include a plurality of values, and when the first historical operation duration and/or the second historical operation duration include only one value, the first historical operation duration and/or the second historical operation duration may be used as the first stable operation duration and/or the second stable operation duration, and values of the first stable operation duration and/or the second stable operation duration may also be set according to experience. For example, when the first historical operation period is 10 days, the value of the first steady operation period may also be 10 days, or the first steady operation period may be set to 8 days; when the first historical operation duration is 10 days, 12 days and 14 days, the calculated average value is 12 days, and then the first stable operation duration is 12 days, and the value of the second stable operation duration can be obtained in the same way. The values of the first stable operation duration and the second stable operation duration can be correspondingly adjusted according to actual conditions so as to obtain values which more accord with actual task operation standards. The first completion time = task completion time-second steady operation time-first steady operation time, the first completion time of the service task is calculated in a reverse way, wherein the second steady operation time is only one, and the first steady operation time can be a plurality of, for example, the task completion time is 15 th month, 2 service tasks are arranged between the calculated service task and the index task, the first steady operation time of the service task is 8 days and 10 days respectively, the second steady operation time of the index task is 12 days, the last day of the month is 30 th days, and the first completion time of the service task to be calculated is 15-12-8-10+30 = 15, namely, the first completion time of the service task is 15 th month.

With continued reference to fig. 5, in some alternative implementations of the present embodiment, step S40 includes the steps of:

step S401, obtaining an execution progress corresponding to the current task;

step S402, a preset detection threshold is obtained, and whether the execution progress is larger than or equal to the detection threshold is detected;

step S403, if the execution progress is greater than or equal to the detection threshold, detecting the current task again after a next predetermined time interval; a kind of electronic device with high-pressure air-conditioning system

And step S404, if the execution progress is smaller than the detection threshold, performing optimization processing on the current task, and acquiring the execution progress again until the execution progress is larger than or equal to the detection threshold.

According to the embodiment, the execution progress of the current task and the preset detection threshold are obtained, and the execution progress is compared with the detection threshold, so that whether the current task needs to be optimized or not is judged according to a comparison result, and effective adjustment of the business task is achieved.

In this embodiment, the execution progress may be obtained by updating data in real time from a database, or may be obtained by calculating according to the execution condition of the current task, for example, in a marketing campaign, 500 clients need to be subjected to marketing propaganda, and if 300 clients have been subjected to propaganda until the current time, the execution progress is 300/500×100% =60%; the detection threshold is set to a value which changes in real time according to the execution time, for example, the activity time of the marketing campaign is 10 days, when the marketing campaign on the third day is ended, the detection threshold is 30%, if the number of clients publicity at the moment is 120, and the target number of publicity to be achieved is 500, according to the calculation, the execution progress is 120/500×100% = 24%, and the execution progress is smaller than the detection threshold, the optimization processing is performed on the current task, and the optimization processing includes: the task can be correspondingly adjusted according to actual conditions by increasing available human resources of the task, increasing task execution time, simplifying task execution flow and the like, so that the current task can better realize the task target. In this embodiment, the above-mentioned detection of the execution progress and the detection threshold may be set to be performed at a predetermined time interval, for example, after the marketing campaign is performed, the execution progress and the detection threshold are detected every 3 days, so as to effectively monitor the execution situation of the current task, thereby determining whether the current task needs to be optimally adjusted. The setting of the predetermined time interval and the detection threshold can be correspondingly adjusted according to actual conditions.

With continued reference to fig. 6, in some alternative implementations of the present embodiment, step S50 includes the steps of:

step S501, acquiring a task line and a service task corresponding to the current task according to the downstream task dependency relationship;

step S502, obtaining the historical operation time length of the business task, calculating the average value of the historical operation time length, and taking the average value as the effective operation time length of the business task; a kind of electronic device with high-pressure air-conditioning system

Step S503, obtaining the execution time of the current task, and calculating the time for completing the task line according to the effective operation time length corresponding to the execution time and the service task operated after the execution time, so as to obtain the second completion time.

According to the method and the device, the second completion time of the task line can be effectively calculated by acquiring the task line and the service task corresponding to the current task and by acquiring the effective operation time of the service task and the execution time of the current task, so that the completion time of the task line is monitored.

In this embodiment, the execution time of the current task refers to the actual completion time of the current task, and since the current task has exceeded the first completion time, the current task may be predicted according to the execution progress of the current task, for example, the first completion time of the current task is number 10 of the month, 12 days has been executed, the execution progress is 80%, the predicted execution duration of the current task is 12/0.8=15 days, the corresponding execution time is number 13, and if the effective operation duration of the service task after the current task is 10 days, 12 days, 15 days, respectively, and the last day of the month is number 30, the second completion time is 13+10+12+15-30=10, that is, the second completion time is number 10 of the next month.

With continued reference to fig. 7, in some alternative implementations of the present embodiment, step S60 includes the steps of:

step S601, obtaining a service index, and searching corresponding service tasks and service information in a database according to the service index, wherein the service information comprises: index aging and service start time;

step S602, calculating the time for completing all the business tasks according to the index aging and the business start time to obtain the task completion time;

step S603, acquiring the second completion time, and detecting whether the second completion time is greater than the task completion time;

step S604, if the second completion time is less than or equal to the task completion time, re-acquiring the second completion time after a predetermined time interval and detecting again; a kind of electronic device with high-pressure air-conditioning system

Step S605, if the second completion time is greater than the task completion time, acquiring a task line corresponding to the completion time, performing optimization processing on a service task of the task line after the current task, and acquiring the second completion time of the task line after the optimization processing, and re-detecting until the second completion time is less than or equal to the task completion time.

According to the method, whether the completion time of the task line exceeds the specified task completion time or not can be detected and judged by acquiring the second completion time corresponding to the task line, and when the completion time of the task line exceeds the task completion time, the business task on the task line is optimized, so that the second completion time is adjusted to meet the requirement that the task completion time is not exceeded.

In this embodiment, since there are multiple task lines corresponding to the current task, there are multiple second completion times, and when there are multiple second completion times exceeding the task completion time, the second completion times are compared, and the service tasks on the task lines are sequentially adjusted according to the order of the time-out duration from large to small. The predetermined time interval can be set to 3 days, and the time interval can be correspondingly adjusted according to actual conditions.

In this embodiment, the traffic index refers to a certain target that the traffic needs to achieve, for example: the business index in marketing business is X number of clients/members to be converted, and the index timeliness refers to the time required to reach the business index in a preset time, for example, X number of clients/members are converted in March, and the time required for March to reach the business index is long. The service start time is a time for starting to transform the marketing service of the client/member, for example, the service start time is 3 months and 15 days, and the time period specified in the index time is 3 months, so the calculated task completion time is 6 months and 15 days, and the service index, the index time and the service start time can be adjusted according to the actual situation, and are not limited to the example items in the embodiment.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

With further reference to fig. 8, as an implementation of the method shown in fig. 8, the present application provides an embodiment of a financial business task management apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 1, and the apparatus may be specifically applied to various electronic devices.

As shown in fig. 8, the financial business task management apparatus 700 according to the present embodiment includes: a dependency acquisition module 701, a task restriction module 702, an execution detection module 703, a first optimization module 704, a task prediction module 705, a second optimization module 706. Wherein:

the dependency obtaining module 701 is configured to obtain a task dependency relationship corresponding to a service task from a database, where the task dependency relationship includes: an upstream task dependency relationship and a downstream task dependency relationship;

a task limiting module 702, configured to obtain an index task, obtain all task lines associated with the index task according to the upstream task dependency relationship, and calculate a first completion time of each service task before the index task is completed in the task lines;

an execution detection module 703, configured to obtain a current task, and detect whether an execution time of the current task has exceeded the first completion time;

The first optimizing module 704 is configured to obtain an execution progress of the current task if the execution time does not exceed the first completion time, and perform an optimizing process on the current task when the execution progress is less than a preset detection threshold until the execution progress is greater than or equal to the detection threshold;

the task prediction module 705 is configured to predict, if the execution time has exceeded the first completion time, a time for completing the task line according to the downstream task dependency relationship and the execution progress, to obtain a second completion time; a kind of electronic device with high-pressure air-conditioning system

And a second optimizing module 706, configured to obtain a task completion time, detect whether the second completion time is greater than the task completion time, and if the second completion time is greater than the task completion time, perform optimization on a service task in the task line until the second completion time is less than or equal to the task completion time.

By adopting the device, the embodiment can effectively judge the business tasks affecting the business indexes and effectively adjust the judged business tasks.

In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 9, fig. 9 is a basic structural block diagram of a computer device according to the present embodiment.

The computer device 8 comprises a memory 81, a processor 82, a network interface 83 communicatively connected to each other via a system bus. It should be noted that only computer device 8 having components 81-83 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.

The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.

The memory 81 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 81 may be an internal storage unit of the computer device 8, such as a hard disk or a memory of the computer device 8. In other embodiments, the memory 81 may also be an external storage device of the computer device 8, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 8. Of course, the memory 81 may also comprise both an internal memory unit of the computer device 8 and an external memory device. In this embodiment, the memory 81 is typically used to store an operating system and various application software installed on the computer device 8, such as computer readable instructions of a financial business task management method. Further, the memory 81 may be used to temporarily store various types of data that have been output or are to be output.

The processor 82 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 82 is typically used to control the overall operation of the computer device 8. In this embodiment, the processor 82 is configured to execute computer readable instructions stored in the memory 81 or process data, such as computer readable instructions for executing the financial business task management method.

The network interface 83 may comprise a wireless network interface or a wired network interface, which network interface 83 is typically used to establish a communication connection between the computer device 8 and other electronic devices.

By adopting the computer equipment, the embodiment can effectively judge the business tasks affecting the business indexes and effectively adjust the judged business tasks.

The present application also provides another embodiment, namely, a computer readable storage medium storing computer readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the financial business task management method as described above.

By adopting the computer readable storage medium, the embodiment can effectively judge the business tasks affecting the business indexes and effectively adjust the judged business tasks.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.

Claims

1. A financial business task management method, comprising the steps of:

2. The financial business task management method according to claim 1, wherein before the step of acquiring task dependency relationships corresponding to business tasks from the database, the method specifically comprises:

3. The financial business task management method according to claim 1, wherein the step of acquiring task dependency relationships corresponding to business tasks from a database specifically comprises:

Extracting a task dependency relationship table from the database;

4. The financial transaction task management method according to claim 1, wherein the step of acquiring the index task, acquiring all task lines associated with the index task according to the upstream task dependency relationship, and calculating a first completion time of each transaction task before the completion of the index task in the task lines specifically includes:

determining the index task in the service tasks according to the service index;

5. The financial business task management method according to claim 1, wherein the step of obtaining the execution progress of the current task, and when the execution progress is smaller than a preset detection threshold, performing optimization processing on the current task until the execution progress is greater than or equal to the detection threshold, specifically includes:

acquiring an execution progress corresponding to the current task;

6. The financial business task management method according to claim 1, wherein the step of predicting the time for completing the task line according to the downstream task dependency relationship to obtain a second completion time specifically includes:

7. The financial business task management method according to claim 1, wherein the step of obtaining a task completion time, detecting whether the second completion time is greater than the task completion time, and if the second completion time is greater than the task completion time, performing optimization processing on a business task in the task line until the second completion time is less than or equal to the task completion time, specifically comprises:

8. A financial transaction task management device, comprising:

9. A computer device comprising a memory having stored therein computer readable instructions which when executed implement the steps of the financial transaction task management method of any of claims 1 to 7, and a processor.

10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the financial transaction task management method of any of claims 1 to 7.