CN113256340A - Task execution method and device and electronic equipment - Google Patents
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Abstract
The embodiment of the application provides a method, a device and electronic equipment for executing tasks, the method can be applied to a scene of screening customers, wherein data in a pre-stored database is a customer data set, screening operation can be carried out aiming at the customer information data, a target data set is a target customer information set, at least one product is recommended to the customers as a primary task, the application can carry out screening operation on the customer data set to obtain the target customer information set, at least one task is determined according to attribute information of the target customer information set so as to realize promotion of products corresponding to the task to a precisely positioned target customer group, task data to be executed is determined from the target customer information set according to an execution result of the task execution, the task data to be executed is the same type of customer information set according with the execution result so as to conveniently recommend the proper product to the same type of customers, accurate marketing is realized, and marketing profit is improved while marketing success rate is effectively improved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for executing a task, and an electronic device.
Background
Most of the existing enterprises recommend products to clients to obtain profit, however, the enterprises can only recommend products to mass client groups in a discordant way due to the fact that the client groups suitable for the task recommendation cannot be accurately positioned, marketing cost is improved, marketing success rate is reduced, and marketing profit is further reduced.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus and an electronic device for executing a task, which can accurately locate a group of customers to which a task marketing product is suitable, and effectively improve a marketing success rate and a marketing profit.
In a first aspect, an embodiment of the present invention provides a method for executing a task, where the method includes: screening data in a pre-stored database to obtain a target data set; determining at least one task corresponding to the attribute information according to the attribute information of the target data set; acquiring an execution result of each task in at least one task in a corresponding target data set; and determining task data to be executed in the target data set according to at least one execution result, so that the task data to be executed executes at least one preset task.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of performing a screening operation on data in a pre-stored database to obtain a target data set includes: screening a data set corresponding to the screening instruction from data of a prestored database based on each screening instruction in the received at least one screening instruction; and screening at least one data set to obtain a target data set.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of performing a screening operation on at least one data set to obtain a target data set includes: when the data volume of at least one data set reaches the data volume of a preset set, screening the data sets based on a subdivision screening instruction to obtain a target data set; wherein the subdivision filter instruction is an instruction different from the filter instruction.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where before performing a screening operation on data in a pre-stored database to obtain a target data set, the method further includes: obtaining data from at least one data source; and storing the data into a pre-stored database.
With reference to the third possible implementation manner of the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the data source is a customer information source, and the data set is a customer information set determined based on the screening instruction; the target data set is a target customer information set; the method for determining at least one task corresponding to the attribute information according to the attribute information of the target data set comprises the following steps: determining at least one piece of target product information matched with the attribute information; determining a sending mode corresponding to each piece of target product information in at least one piece of target product information, and sending the target product information to at least one client corresponding to the target client information set based on the mode so as to generate a task execution result; wherein, the sending mode comprises at least one of the following modes: multi-channel, short message channel, credit card outbound call, equity platform, marketing platform, customer manager channel, hall platform.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the step of determining at least one piece of target product information that matches with the attribute information includes: screening at least one screened product information meeting the attribute information from the at least one product information; and determining at least one piece of screening product information as target product information.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the step of determining task data to be executed in the target data set according to at least one execution result includes: analyzing at least one execution result to obtain an analysis result corresponding to the execution result; and classifying the data in the target data set based on the analysis result so as to determine the data of the task to be executed corresponding to the analysis result from the target data set.
With reference to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where the execution result includes a product corresponding to the purchase target product information, a product corresponding to the purchase refusal target product information, or a feedback result generated for the target product information; a step of classifying data in the target dataset based on the analysis results, comprising one of: when the execution result is that the product corresponding to the target product information is purchased, determining a customer corresponding to the purchased product from the target data set; or when the execution result is that the purchase of the product corresponding to the target product information is refused, determining a customer corresponding to the refused purchase product from the target data set; or when the execution result is a feedback result generated for the target product information, determining the client corresponding to the generated feedback result from the target data set.
In a second aspect, an embodiment of the present invention further provides an apparatus for performing a task, where the apparatus includes: the screening module is used for screening the data in the pre-stored database to obtain a target data set; the first determining module is used for determining at least one task corresponding to the attribute information according to the attribute information of the target data set; the acquisition module is used for acquiring an execution result of each task in at least one task in the corresponding target data set; and the second determining module is used for determining task data to be executed in the target data set according to at least one execution result so that the task data to be executed executes at least one preset task.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the foregoing method.
In a fourth aspect, the embodiments of the present invention also provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the above-mentioned method.
The embodiment of the invention has the following beneficial effects:
the embodiment of the application provides a method and a device for executing a task and electronic equipment, wherein data in a pre-stored database are screened to obtain a target data set; determining at least one task corresponding to the attribute information according to the attribute information of the target data set; acquiring an execution result of each task in at least one task in a corresponding target data set; determining task data to be executed in the target data set according to at least one execution result, and enabling the task data to be executed to execute at least one preset task; the method can be applied to the scene of screening customers, wherein the data in the pre-stored database is a customer data set, the screening operation can be carried out aiming at the customer information data, the target data set is a target customer information set, at least one product recommended to the customer is regarded as a primary task, the method can be used for screening the screened customer data set to obtain the target customer information set, at least one task matched with the target customer information set is determined according to the attribute information of the target customer information set so as to realize the promotion of the product corresponding to the task to a precisely positioned target customer group, further, the data of the task to be executed is determined from the target customer information set according to the execution result of the task execution, the data of the task to be executed is the same type of customer information set which accords with the execution result so as to recommend the proper product to the same type of customer, accurate marketing is realized, and marketing profit is improved while marketing success rate is effectively improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a method for performing tasks according to an embodiment of the present invention;
FIG. 2 is a schematic interface diagram of a planning interface according to an embodiment of the present invention;
FIG. 3 is a schematic interface diagram of a conditional screening sub-interface according to an embodiment of the present invention;
FIG. 4 is a schematic interface diagram of another conditional screening sub-interface according to an embodiment of the present invention;
FIG. 5 is a schematic interface diagram of another conditional screening sub-interface provided by an embodiment of the present invention;
FIG. 6 is a schematic interface diagram of a channel configuration sub-interface according to an embodiment of the present invention;
FIG. 7 is a schematic interface diagram of another channel configuration sub-interface according to an embodiment of the present invention;
FIG. 8 is a block diagram of a system for performing tasks according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of an apparatus for performing tasks according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Based on the fact that accurate recommendation of the tasks cannot be achieved, the marketing success rate is reduced, and further marketing profit is affected, the method, the device and the electronic equipment for executing the tasks provided by the embodiment of the invention can accurately position the client group to which the tasks are applicable, and effectively improve the marketing success rate and the marketing profit.
For the convenience of understanding the embodiment, a detailed description will be given to a method for performing a task of a product disclosed in the embodiment of the present invention.
The present embodiment provides a method for executing a task, and referring to a flowchart of the method for executing a task shown in fig. 1, the method specifically includes the following steps:
step S102, screening the data in the pre-stored database to obtain a target data set;
the screening operation is to screen out a target data set meeting requirements from data stored in a pre-stored database, and specifically, the screening operation can be realized through steps a1 to a 2:
step A1, screening out a data set corresponding to the screening instruction from the data of the pre-stored database based on each screening instruction in the received at least one screening instruction;
the screening instructions may be understood as screening conditions, and in general, one screening instruction may include at least one screening condition, and for each screening condition of the at least one screening condition, a data set satisfying the screening condition is screened from data stored in a pre-stored database; the pre-storage database stores a plurality of data and screening information corresponding to each data; in this embodiment, the data of which the screening information satisfies the screening instruction is extracted from the pre-stored database to obtain the data set corresponding to the screening instruction.
Taking the application of the present embodiment to a customer screening and product sales scenario as an example, the screening instruction may be screened for a customer, the data set is a set of customer information data, generally, the screening instruction may be determined through a pre-established planning interface, for convenience of description, fig. 2 shows an interface schematic diagram of a planning interface, as shown in fig. 2, the planning interface includes a circled guest group selection control 200 corresponding to the screening instruction, the circled guest group selection control 200 is disposed in a selection area 201 on the left side of the planning interface, and when a selection operation is performed on the circled guest group selection control 200, a conditional screening sub-interface corresponding to the circled guest group selection control 200 is displayed in a planning area 202 on the right side of the planning interface, so as to facilitate determination of the screening instruction.
For convenience of explanation, fig. 3 shows an interface schematic diagram of a condition screening sub-interface, where the interface is a condition screening sub-interface corresponding to a screening instruction, as can be seen from fig. 3, the condition screening sub-interface is a condition and/or a condition or a combination condition, and a condition screening control corresponding to each screening condition is provided on the interface, where the condition screening control is provided in a form of a pull-down menu, so that a user can select a screening condition by clicking the condition screening control; in actual use, the condition screening control can also be a control for character input, and meanwhile, quick retrieval can be performed through the search control, so that the screening efficiency is improved for a user, and the form of the condition screening control is not limited.
For example, 2 data sets 204 presented in the plan area 203 of fig. 1 are determined to correspond to the screening instruction "age is 30 to 40 years" and "property is 30 to 50 ten thousand" respectively, where the total number of customer information of the data set 104 corresponding to the screening instruction "age is 30 to 40 years" is 30 ten thousand, and the total number of customer information of the data set 104 corresponding to the screening instruction "property is 30 to 50 ten thousand" is 20 ten thousand.
A2, screening at least one data set to obtain a target data set;
in this embodiment, a screening operation such as an intersection operation, a union operation, or a deletion operation may be performed on the at least one data set to obtain a target data set, where the intersection operation and the union operation are performed on the entire data set, and the deletion operation may be performed on the entire data set or data in the data set, for example, two data sets, i.e., data set 1 and data set 2, are determined in step a1, and if the intersection operation is performed on the entire data set, completely consistent data in the data set 1 and the data set 2 is selected, and the data is determined as the target data set; similarly, if the union operation is performed, completely inconsistent data in the data set 1 and the data set 2 are selected, and the part of data is determined as a target data set; if the deletion operation is performed, all data in any data set can be deleted, or part of data in the data set is deleted, and the data which is not deleted is determined as the target data set.
In addition to the target data set obtained by the above method, when the data volume of at least one data set reaches the data volume of a preset set, the data set is screened based on the subdivision screening instruction to obtain the target data set; wherein the subdivision filter instruction is an instruction different from the filter instruction. The subdivision and screening instruction may be understood as a screening condition for performing set division on a data set according to a preset division condition, and the subdivision and screening instruction is an instruction different from the screening instruction because the data set obtained based on the screening instruction is screened. In the previous example, the data set 1 is a data set corresponding to the screening instruction "woman", and the data set 1 is subdivided and screened to obtain a target data set with more detailed conditions, for example, the preset dividing conditions are respectively: the "age is 20 to 30", "age is 30 to 45, annual salary is 20 ten thousands" and "annual salary is 50 ten thousands", the target data set corresponding to each division condition is obtained based on the division condition, so the data set 1 can be divided into 3 target data sets based on the division condition. The specific dividing conditions may be set according to actual needs, and are not limited herein.
In addition, the intersection operation, the union operation, or the deletion operation may be performed on the data set first, and then the screening operation is performed on the data set based on the subdivision screening instruction to obtain the target data set, which is not described herein again.
Continuing with the above application scenario as an example, the target data set is a target customer information set, and the target customer information set of the product promotion can be determined from the customer information set through the above operations, so as to recommend the matched product to the target customer information set, thereby realizing accurate marketing.
In actual application, the determination of the target customer information set may be implemented through the planning interface shown in fig. 2, as shown in fig. 2, the planning interface includes the guest group integration control 205 corresponding to the intersection fetching operation, the union operation, or the deletion operation, the guest group integration control 205 is also set in the selection area 201 on the left side of the planning interface, and when the guest group integration control 205 is selected, the conditional filtering sub-interface corresponding to the guest group integration control 205 is displayed in the planning area 202 on the right side of the planning interface, so as to determine the operation manner.
For convenience of understanding, fig. 4 shows an interface schematic diagram of another condition screening sub-interface, where the interface is a condition screening sub-interface corresponding to the guest group integration control 205, and the condition screening sub-interface can perform intersection operation, union operation, or deletion operation on multiple data sets, and the interface can also implement information update and quickly select a data set to be operated.
As shown in fig. 2, the planning interface further includes a guest group subdivision control 206 corresponding to the subdivision operation, the guest group subdivision control 206 is also disposed in the selection area 201 on the left side of the planning interface, and when the guest group subdivision control 206 is selected, the planning area 202 on the right side of the planning interface displays a conditional screening sub-interface corresponding to the guest group subdivision control 206, so as to subdivide the data set.
For convenience of explanation, fig. 5 shows an interface schematic diagram of another conditional filtering sub-interface, where the interface is a conditional filtering sub-interface corresponding to the guest group subdivision control 206, and the guest group subdivision can freely subdivide a data set and can also create branches of the subdivided data set, where the subdividing operation specifically includes: 1) adding a single branch, under which a new condition or a new set of conditions can be added; 2) adding other branches to form a plurality of branches, and numbering in sequence: branch 1, branch 2, branch 3. Wherein the cross in fig. 3 and 5 indicates that the user can delete the piece of content by clicking the symbol position.
For convenience of understanding, as shown in fig. 2, a data set of "assets are 30 to 50 ten thousand" is deleted by the deletion operation in fig. 4, a new data set 207 of "ages 30 to 40 years" is obtained, the new data set 207 includes 30 ten thousand pieces of customer information, and the new data set 207 is subdivided 2 times by fig. 5, for example, a target data set 208 corresponding to "women" is 15 ten thousand under the subdivision condition, and a target data set 208 corresponding to "men living in beijing" is 7 ten thousand under the subdivision condition.
Step S104, determining at least one task corresponding to the attribute information according to the attribute information of the target data set;
in this embodiment, a task matching the target data set may be determined from a task library based on attribute information corresponding to the target data set, where the attribute information of the target data set may be understood as information used to represent data characteristics, for example, the attribute information is data source information, data application scenario information, a screening instruction corresponding to data, and the like, and the attribute information may be set according to actual needs, where the attribute information is not limited.
Generally, a plurality of different tasks and task information corresponding to each task are stored in the task library; and determining the task of which the task information is matched with the attribute information as the task matched with the target data set.
Continuing with the application scenario example, recommending at least one product to the target customer information set is considered as a task, and therefore, the process of determining a task based on the application scenario may be implemented through steps B1 to B2:
step B1, determining at least one piece of target product information matched with the attribute information;
the target product information can be understood as a product recommended to at least one customer corresponding to the target customer information set, and the target product information can be determined through the attribute information of the target data set, wherein the specific determination process is as follows: screening at least one screened product information meeting the attribute information from the at least one product information; and determining at least one piece of screening product information as target product information.
Generally, product information corresponding to a plurality of different products is pre-stored in a product information base, screening product information matched with the attribute information is searched from the plurality of product information, and if a plurality of screening product information are searched, one or more screening product information can be determined as target product information according to actual needs.
Next, the previous example is described by taking the attribute information as the screening instruction corresponding to the target data set as an example, and the screening instructions corresponding to 15 ten thousand of the target data sets 208, that is, the target screening conditions, are known as follows: "age 30 to 40 years" and "female", a target data set 208 of 7 ten thousand in number corresponds to the screening instructions: "age between 30 and 40 years" and "a male residing in Beijing"; for example, the screened product information found by the target data sets with the number of 15 ten thousand is "recommend 20 ten thousand financial products" and "recommend mother and infant products". In actual use, the two pieces of screened product information may be used as target product information, or any one of the two pieces of screened product information may be used as the target product information, which is not limited herein.
Step B2, determining a sending mode corresponding to each piece of target product information in the at least one piece of target product information, and sending the target product information to at least one client corresponding to the target client information set based on the mode so as to generate a task execution result; wherein, the sending mode comprises at least one of the following modes: multi-channel, short message channel, credit card outbound call, equity platform, marketing platform, customer manager channel, hall platform.
In actual operation, different target product information may correspond to the same sending method or different sending methods, as shown in fig. 2, a sending method control 209 corresponding to the sending method is arranged in a selection area 201 of the planning interface, the sending method of the target product information is determined by performing selection operations such as clicking operation or dragging operation on the sending method control 209, and generally, the selected sending method is displayed in the planning area 202 of the planning interface in the form of a channel node, and a name corresponding to the sending method is displayed on the channel node.
For convenience of understanding, three sending modes of multi-channel, short message channel and credit card outbound are shown in fig. 2 as an example for explanation, and in a specific operation, when a selecting operation is performed on the sending mode control 209, a channel configuration sub-interface corresponding to the sending mode is displayed on a planning interface; responding to the configuration operation aiming at the channel configuration sub-interface, and determining configuration content; wherein the configuration content comprises at least one of: marketing words, product configuration content, lead display time, marketing frequency, etc., which are not limited herein.
Generally, different sending modes correspond to different channel configuration sub-interfaces, and the channel configuration sub-interfaces are also displayed on the planning interface, so that a user can conveniently set corresponding contents through the channel configuration sub-interfaces.
For convenience of illustration, fig. 6 shows an interface schematic diagram of a channel configuration sub-interface, where the interface is a channel configuration sub-interface corresponding to multiple channels, and as can be seen from fig. 6, when there are multiple branches, a branch can be selected through the interface, and a marketing channel for marketing to a target customer on the branch is provided, for example, a lobby platform is provided for marketing 15 ten thousand target data sets 208, and a rights platform is provided for marketing to 7 ten thousand target data sets 208.
Fig. 7 is a schematic interface diagram of another channel configuration sub-interface, which is a channel configuration sub-interface corresponding to a short message channel, and as can be seen from fig. 7, a planner can perform configuration operations such as writing of product configuration contents, selection of lead display time and marketing frequency on the channel configuration sub-interface, so as to facilitate product marketing to a corresponding target data set 208 through configuration contents.
The configuration content can be set according to actual needs, and is not limited herein; moreover, the channel configuration sub-interfaces corresponding to each sending mode can be manufactured according to actual needs, and the channel configuration sub-interfaces corresponding to other marketing channels are not introduced one by one.
As shown in fig. 2, 15 ten thousand target data sets 208 are set to send target product information to at least one client corresponding to the target client information set through a short message channel, and 7 ten thousand target data sets 208 are set to send target product information to at least one client corresponding to the target client information set through a credit card outbound call.
Step S106, obtaining the execution result of each task in at least one task in the corresponding target data set;
the execution result is obtained after the target data set executes the corresponding task, and the execution condition of the target data set executing the task can be directly reflected.
Continuing to explain by taking the application scenario as an example, the execution result may be result information fed back to the target product information by the client corresponding to the target data set, and in this embodiment, the execution result may include purchasing a product corresponding to the target product information, refusing to purchase a product corresponding to the target product information, or generating a feedback result for the target product information; the execution result can be set according to actual needs, and the execution result is not limited herein.
Step S108, determining task data to be executed in the target data set according to at least one execution result, and enabling the task data to be executed to execute at least one preset task.
The determined data of the task to be executed can be understood as screening a target data set based on the execution result, and screening data meeting the execution result from the target data set.
Continuing to explain by taking the application scenario as an example, the data of the task to be executed is the same type of client information set which accords with the execution result, so that a more matched task is subsequently distributed to the same type of client, and the success rate of task execution is effectively improved.
The specific implementation process of step S108 is as follows: analyzing at least one execution result to obtain an analysis result corresponding to the execution result; and classifying the data in the target data set based on the analysis result so as to determine the data of the task to be executed corresponding to the analysis result from the target data set.
As can be seen from the above analysis, in order to improve the success rate of task execution, it is necessary to subdivide the data in the target data set based on the execution result, and execute a more matched preset task for the same kind of data, where the preset task may be a newly set task or a task originally matched with the target data set, and the preset task is not limited here.
Continuing with the previous example, in order to better understand the product requirements of the customers, the target data sets can be further classified according to the analysis results of the execution results, so that more appropriate products can be recommended to the customers subsequently, and accurate marketing is realized; the analysis result may be understood as a determination of an execution result including a result of purchasing a product corresponding to the target product information, refusing to purchase the product corresponding to the target product information, or a feedback result generated by the target product information, so as to implement a re-classification of the target data set according to the determination result, specifically, a step of classifying data in the target data set based on the analysis result includes one of:
(1) when the execution result is that the product corresponding to the target product information is purchased, determining a customer corresponding to the purchased product from the target data set;
(2) when the execution result is that the purchase of the product corresponding to the target product information is refused, determining a client corresponding to the refused purchase product from the target data set;
(3) and when the execution result is a feedback result generated for the target product information, determining the client corresponding to the generated feedback result from the target data set.
If the execution result includes the three results, that is, the execution result includes a product corresponding to the purchase target product information, a product corresponding to the purchase refusal target product information, and a feedback result generated for the target product information, the customer corresponding to each execution result can be determined from the target data set, and the product recommendation of the preset task is executed for the customer corresponding to each classified execution result.
If the execution result includes any two results or any one result, the customer corresponding to each execution result can be determined from the target data set, and the product recommendation of the preset task is executed for the customer corresponding to each classified execution result.
The application scenarios of the embodiments of the present application are not limited to the scenarios of customer screening and product promotion, and are also applicable to the execution of other tasks (e.g., website screening, web service node screening), which are not illustrated herein.
The embodiment of the application provides a method for executing a task, wherein data in a pre-stored database is screened to obtain a target data set; determining at least one task corresponding to the attribute information according to the attribute information of the target data set; acquiring an execution result of each task in at least one task in a corresponding target data set; determining task data to be executed in the target data set according to at least one execution result, and enabling the task data to be executed to execute at least one preset task; the method can be applied to the scene of screening customers, wherein the data in the pre-stored database is a customer data set, the screening operation can be carried out aiming at the customer information data, the target data set is a target customer information set, and at least one product is recommended to the customer as a primary task, the method can carry out the screening operation on the customer data set to obtain the target customer information set, and at least one task matched with the target customer information set is determined according to the attribute information of the target customer information set so as to realize the promotion of the product corresponding to the task to a precisely positioned target customer group, further, the data of the task to be executed is determined from the target customer information set according to the execution result of the task execution, the data of the task to be executed is the same type of customer information set which accords with the execution result so as to recommend the proper product to the same type of customer, accurate marketing is realized, and marketing profit is improved while marketing success rate is effectively improved.
Generally, before screening operation is performed on data in a pre-stored database to obtain a target data set, data needs to be acquired from at least one data source; and storing the data into a pre-stored database.
The data source refers to a data source, for example, data in the network data source is from network data, and data in the survey data source is from a questionnaire, and in actual application, each screening instruction in at least one screening instruction is the same or different, and the same screening instruction corresponds to the same or different data sources, it can be understood that, because the characteristics of the data sources in the data source are different, the matched screening instruction can be set according to the characteristics of the data sources. For example, the screening instructions may be set to "female, age 30-45" for survey data sources and "age 20-35, work in Beijing" for network data sources.
Further, in order to comprehensively understand the task execution situation, firstly, the execution data after the task execution is obtained; secondly, acquiring report data from the execution data based on a preset report rule; and finally, making a report corresponding to the report rule according to the report data.
The task execution condition can be intuitively and detailedly known through the report so as to conveniently formulate a task which meets the requirements aiming at the target data set according to the report content and improve the task execution success rate.
Continuing with the product recommendation and customer screening example above, the performance data may include at least one of: information such as the number of executed tasks, the number of feedback of customers, income amount, marketing cost and the like; the specific execution data may be obtained according to the merchant demand, which is not limited herein.
For example, the report rule is a relationship between the product quantity and the marketing cost, and the revenue amount, and the marketing cost and the revenue amount corresponding to the product quantity need to be obtained from the execution data. The marketing cost and the income amount corresponding to the obtained product quantity are made into a histogram report or a curve chart report, and a user can know the task execution condition in detail by inquiring the report so as to evaluate the task conveniently; the form of the report can be made according to the requirement, and is not limited herein.
In this embodiment, in order to implement task creation and task execution, an embodiment of the present invention further provides a system for executing a task, as shown in fig. 8, which illustrates a schematic structural diagram of a system for executing a task, and in succession to the previous example, the system includes a data warehouse 800 for storing data sets, a data preparation field 801 for processing the data sets, a data screening field 802 for screening data, a product information library 803 for storing product information, a task field 804 for determining a task, a classification field 805 for classifying a target data set, and an analysis field 806 for performing statistical analysis on the classified data set.
As shown in fig. 8, the data warehouse 800 is connected to the data preparation domain 801, the data preparation domain 801 is connected to the data screening domain 802, the product information base 803 and the data screening domain 802 are both connected to the task domain 804, and the task domain 804 and the analysis domain 806 are both connected to the classification domain 805. The data set in the data warehouse 800 enters the data preparation domain 801 for data processing, invalid data or corrected data is deleted or corrected, the processed data is screened by the data screening domain 802 to determine a target data set, the product information in the product information base 803 determines a task matched with the target data set by the task domain 804, the classification domain 805 is used for classifying the target data set based on the execution result of the task, and finally the classified data is sent to the analysis domain 806 for data analysis, so that more appropriate products can be recommended to customers subsequently.
Corresponding to the above method embodiment, an embodiment of the present invention provides an apparatus for performing a task, and fig. 9 shows a schematic structural diagram of an apparatus for performing a task, as shown in fig. 9, the apparatus includes:
the screening module 902 is configured to perform a screening operation on data in a pre-stored database to obtain a target data set;
a first determining module 904, configured to determine, according to the attribute information of the target data set, at least one task corresponding to the attribute information;
an obtaining module 906, configured to obtain an execution result of each task in the at least one task executed in the corresponding target dataset;
the second determining module 908 is configured to determine task data to be executed in the target data set according to the at least one execution result, so that the task data to be executed executes at least one preset task.
The embodiment of the application provides a device for executing tasks, wherein data in a pre-stored database is screened to obtain a target data set; determining at least one task corresponding to the attribute information according to the attribute information of the target data set; acquiring an execution result of each task in at least one task in a corresponding target data set; determining task data to be executed in the target data set according to at least one execution result, and enabling the task data to be executed to execute at least one preset task; the method can be applied to the scene of screening customers, wherein the data in the pre-stored database is a customer data set, the screening operation can be carried out aiming at the customer information data, the target data set is a target customer information set, and at least one product is recommended to the customer as a primary task, the method can carry out the screening operation on the customer data set to obtain the target customer information set, and at least one task matched with the target customer information set is determined according to the attribute information of the target customer information set so as to realize the promotion of the product corresponding to the task to a precisely positioned target customer group, further, the data of the task to be executed is determined from the target customer information set according to the execution result of the task execution, the data of the task to be executed is the same type of customer information set which accords with the execution result so as to recommend the proper product to the same type of customer, accurate marketing is realized, and marketing profit is improved while marketing success rate is effectively improved.
An electronic device is further provided in the embodiment of the present application, as shown in fig. 10, which is a schematic structural diagram of the electronic device, where the electronic device includes a processor 141 and a memory 140, the memory 140 stores computer-executable instructions that can be executed by the processor 141, and the processor 141 executes the computer-executable instructions to implement the method.
In the embodiment shown in fig. 10, the electronic device further comprises a bus 142 and a communication interface 143, wherein the processor 141, the communication interface 143 and the memory 140 are connected by the bus 142.
The Memory 140 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 143 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. The bus 142 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 142 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double-headed arrow is shown in FIG. 10, but this does not indicate only one bus or one type of bus.
Embodiments of the present application further provide a computer-readable storage medium, where computer-executable instructions are stored, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the method, and specific implementation may refer to the foregoing method embodiments, and is not described herein again.
The method and apparatus for executing a task and the computer program product of the electronic device provided in the embodiments of the present application include a computer-readable storage medium storing program codes, where instructions included in the program codes may be used to execute the method described in the foregoing method embodiments, and specific implementations may refer to the method embodiments and are not described herein again.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present application.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A method of performing a task, the method comprising:
screening data in a pre-stored database to obtain a target data set;
determining at least one task corresponding to the attribute information according to the attribute information of the target data set;
acquiring an execution result of each task in the at least one task in a corresponding target data set;
and determining task data to be executed in the target data set according to at least one execution result, so that the task data to be executed executes at least one preset task.
2. The method of claim 1, wherein the step of performing a screening operation on the data in the pre-stored database to obtain the target data set comprises:
screening a data set corresponding to the screening instruction from data of a prestored database based on each screening instruction in the received at least one screening instruction;
and screening the at least one data set to obtain a target data set.
3. The method of claim 2, wherein the step of performing a screening operation on the at least one data set to obtain a target data set comprises:
when the data volume of the at least one data set reaches the data volume of a preset set, screening the data set based on a subdivision screening instruction to obtain a target data set; wherein the subdivision filter instruction is an instruction different from the filter instruction.
4. The method of claim 2, wherein before the screening operation is performed on the data in the pre-stored database to obtain the target data set, the method further comprises:
obtaining data from at least one data source;
and storing the data to the pre-stored database.
5. The method of claim 4, wherein the data source is a customer information source, and the data set is a customer information set determined based on the filtering instruction; the target data set is a target customer information set;
the step of determining at least one task corresponding to the attribute information according to the attribute information of the target data set comprises the following steps:
determining at least one piece of target product information matched with the attribute information;
determining a sending mode corresponding to each piece of target product information in the at least one piece of target product information, and sending the target product information to at least one client corresponding to the target client information set based on the mode so as to generate a task execution result; wherein the sending mode comprises at least one of the following modes: multi-channel, short message channel, credit card outbound call, equity platform, marketing platform, customer manager channel, hall platform.
6. The method of claim 5, wherein the step of determining at least one target product information matching the attribute information comprises:
screening at least one screened product information meeting the attribute information from at least one product information;
determining the at least one screening product information as target product information.
7. The method of claim 5, wherein the step of determining task data to be executed in the target data set based on at least one execution result comprises:
analyzing at least one execution result to obtain an analysis result corresponding to the execution result;
classifying data in the target data set based on the analysis result to determine task data to be executed corresponding to the analysis result from the target data set.
8. The method of claim 7, wherein the execution result comprises a product corresponding to the target product information, a product corresponding to the target product information that is refused to be purchased, or a feedback result generated for the target product information;
classifying data in the target dataset based on the analysis results, including one of:
when the execution result is that the product corresponding to the target product information is purchased, determining a customer corresponding to the purchased product from the target data set; or,
when the execution result is that the purchase of the product corresponding to the target product information is refused, determining a customer corresponding to the refused purchase product from the target data set; or,
and when the execution result is a feedback result generated for the target product information, determining a client corresponding to the generated feedback result from the target data set.
9. An apparatus for performing a task, the apparatus comprising:
the screening module is used for screening the data in the pre-stored database to obtain a target data set;
the first determining module is used for determining at least one task corresponding to the attribute information according to the attribute information of the target data set;
the acquisition module is used for acquiring an execution result of each task in the at least one task in the corresponding target data set;
and the second determining module is used for determining task data to be executed in the target data set according to at least one execution result so that the task data to be executed executes at least one preset task.
10. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any of claims 1 to 8.
11. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 8.
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