Burial point management strategy generation method and device, equipment, medium and program product

Abstract

The invention relates to the technical field of computers, and discloses a burying point management strategy generation method and device, equipment, a medium and a program product, and the method comprises the steps: determining a target business consumption entity corresponding to a target burying point according to a corresponding relation between the target burying point and the business consumption entity; determining a target business index related to the target burying point and the target business consumption entity; scoring the target burying point through each target business index, and determining a business scoring result corresponding to the target burying point; and determining a life cycle management strategy of the target burying point according to the service scoring result corresponding to the target burying point. According to the invention, scoring is carried out through the multi-dimensional business indexes of the target burying point, so that the problem that a single evaluation dimension is too one-sided in related technologies is solved, and the life cycle management of the target burying point is accurate and effective; besides, the target burying point is automatically scored, and the life cycle of the burying point is managed according to the generated service scoring result, so that the problem of high cost of manual sorting is solved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and specifically to a method, apparatus, equipment, medium, and program product for generating tracking point management strategies. Background Technology

[0002] With the rapid development of big data and digitalization, various application systems, platforms, and business scenarios widely adopt event tracking technology to collect user behavior, system status, and business process data to support operational analysis, product optimization, intelligent recommendations, and decision-making. As a fundamental step in data collection, event tracking management is gradually becoming a key issue in data governance.

[0003] In related technologies, the focus is usually on ensuring the accuracy, timeliness, comparability, and consistency of event tracking data. However, if only the quality of event tracking data is considered without addressing the lifecycle management of event tracking, it is impossible to solve problems such as invalid event tracking and resource waste caused by changes in business needs during business development. While manual maintenance solutions exist for event tracking management, the cost of manual review is extremely high when the number of existing event tracking points is large, consuming significant manpower and time. Secondly, due to differences and limitations in individual experience, some important event tracking points may be missed, or the value judgment of event tracking points may be inaccurate. Furthermore, manual operation makes it difficult to track the dynamic changes of event tracking points in real time, causing lifecycle management to lag behind actual business needs. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, medium, and program product for generating tracking point management strategies, in order to solve the problems of high costs associated with manual sorting and the ineffective retention of tracking points and resource waste caused by changes in demand during business development.

[0005] In a first aspect, the present invention provides a method for generating tracking point management strategies, including: For any target tracking point to be managed, the target business consumption entity corresponding to the target tracking point is determined according to the correspondence between the target tracking point and the business consumption entity. Determine the target business metrics related to the target tracking points and the target business consumption entity; The target tracking points are scored using each of the target business metrics to determine the business scoring result corresponding to each target tracking point. Based on the business scoring results corresponding to the target tracking point, determine the lifecycle management strategy for the target tracking point.

[0006] The tracking point management strategy generation method provided in this embodiment, for any target tracking point, determines the target business consumption entity corresponding to the target tracking point, and determines the target business indicators related to the target tracking point and the target business consumption entity. The target tracking point is then scored using each of the target business indicators to determine the corresponding business score result, and a lifecycle strategy for the target tracking point is generated accordingly. By scoring the target tracking point using multi-dimensional business indicators, the method solves the problem of single evaluation dimensions in related technologies being too one-sided and unable to comprehensively and accurately reflect the true value of the tracking point, ensuring accurate and effective lifecycle management of the target tracking point. Furthermore, by automating the scoring of target tracking points and managing their lifecycle based on the generated business score results, the method solves the problem of extremely high costs and significant manpower and time consumption associated with manual sorting when there are a large number of existing tracking points.

[0007] Secondly, the present invention provides a device for generating tracking point management strategies, comprising: The entity determination module is used to determine the target business consumption entity corresponding to any target tracking point to be managed, based on the correspondence between the target tracking point and the business consumption entity.

[0008] The indicator determination module is used to determine the target business indicators related to the target tracking points and the target business consumption entities.

[0009] The scoring calculation module is used to score target tracking points based on various target business metrics and determine the corresponding business scoring results for each target tracking point.

[0010] The strategy generation module is used to determine the lifecycle management strategy for the target tracking point based on the business scoring results corresponding to the target tracking point.

[0011] Thirdly, the present invention provides an electronic device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the tracking point management strategy generation method of the first aspect or any corresponding embodiment described above.

[0012] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the tracking point management strategy generation method of the first aspect or any corresponding embodiment described above.

[0013] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the tracking point management strategy generation method described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0014] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the first process of the method for generating tracking point management strategies according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a second process for generating a tracking point management strategy according to an embodiment of the present invention; Figure 4 This is a flowchart illustrating the generation of a lifecycle management strategy according to this embodiment; Figure 5 This is a structural block diagram of the device for generating tracking point management strategies according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0019] As an optional application scenario of this invention, such as Figure 1As shown, the event tracking management strategy generation system may include at least one terminal device and at least one server. Figure 1 The system is illustrated in the example, which includes a computer 101, a mobile terminal 102, and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0020] Specifically, the terminal device can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0021] In related technologies, the management solutions for event tracking often lack full lifecycle control, focusing only on the quality of event tracking without addressing lifecycle management, leading to an accumulation of invalid event tracking. Furthermore, the reliance on manual review and judgment during event tracking management is inefficient, error-prone, and fails to create a closed-loop management system. Additionally, some related technologies employ single-dimensional lifecycle management solutions, using a single metric to determine event tracking retention and cleanup. However, a single evaluation dimension is too one-sided, failing to comprehensively and accurately reflect the true value of event tracking, and may even cause problems in other business processes that rely on its data due to the cleanup of a particular event tracking.

[0022] The tracking point management strategy generation method provided in this embodiment obtains multi-dimensional target business indicators from the tracking points themselves and the corresponding business consumption entities, and automatically generates business scoring results to manage the lifecycle of tracking points. This solves the problem of high costs associated with manual sorting, as well as problems such as invalid retention of tracking points and resource waste caused by changes in demand during business development.

[0023] According to an embodiment of the present invention, a method for generating tracking point management strategies is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0024] This embodiment provides a method for generating tracking point management strategies, which can be used in the aforementioned terminal devices, such as desktop computers, laptops, mobile phones, tablets, etc. Figure 2 This is a flowchart of a method for generating tracking point management strategies according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: For any target tracking point to be managed, determine the target business consumption entity corresponding to the target tracking point based on the correspondence between the target tracking point and the business consumption entity.

[0025] During the generation of event tracking management strategies, management strategies can be generated for the target event tracking points to be managed. These target event tracking points can be existing event tracking points in the current system (i.e., stock event tracking points) or event tracking points manually selected by the user from among various event tracking points. It's understandable that event tracking points alone are meaningless in data processing; the data collected by these points also needs to be processed. For example, the data collected by event tracking points can be integrated into a data report, or it can be used as input to a corresponding analytical model. These entities that process the data collected by event tracking points are called business consumption entities, i.e., entities on the business side that consume the data collected by event tracking points. Business consumption entities can be business modules, data reports, analytical models, etc.

[0026] In data processing, a single tracking point typically corresponds to one or more business consumption entities. However, within the overall system, not all business consumption entities process the data collected by a single target tracking point. In this case, a mapping relationship can be used to determine the target business consumption entities corresponding to the target tracking point. This mapping relationship can store the business consumption entities corresponding to each target tracking point. A lineage graph can be used as a mapping table between tracking points and business consumption entities, and it can also store the data links between tracking points and business consumption entities. For example, it can be stored in data tables or databases corresponding to the tracking points during data transfer. In this embodiment, the lineage graph can be generated when a tracking point is added, or it can be generated when a tracking point management strategy is generated.

[0027] Step S202: Determine the target business metrics related to the target tracking points and the target business consumption entities.

[0028] To accurately score target event tracking points, we can first determine the target business metrics corresponding to them. These target business metrics are business-related indicators associated with the target event tracking points, such as the data collection frequency and business core importance of the tracking points. Some target business metrics are related to the target event tracking points themselves, while others are related to the target business consumer entities.

[0029] Step S203: Score the target tracking points using various target business metrics to determine the business scoring results corresponding to the target tracking points.

[0030] After obtaining the target business metrics corresponding to the event tracking point, the event tracking point can be scored based on these metrics. For example, it can be scored based on the data collection frequency and business core importance of the event tracking point. If the data collection frequency is greater than a preset frequency threshold and the business core importance is greater than a preset core importance threshold, then the event tracking point will have a higher score. This score is the business score result for the event tracking point. The business score result is used to evaluate the event tracking point. The higher the business score result, the more important the event tracking point is. Therefore, the lifecycle management strategy for the event tracking point can be generated based on the importance represented by the business score result.

[0031] Step S204: Determine the lifecycle management strategy for the target tracking point based on the business scoring results corresponding to the target tracking point.

[0032] After obtaining the business scoring results, the lifecycle management strategy for the target event can be determined according to the correspondence between the business scoring results and the lifecycle management strategy. This correspondence can be a preset one. For example, when the business scoring result is greater than x and less than y, the lifecycle of the target event is set to z months. The lifecycle is the survival time set for the event in the management strategy; for example, when the lifecycle of an event is 6 months, it will expire after 6 months. Alternatively, the lifecycle can be set to a permanent lifecycle, meaning that event points with very high business scoring results can be set to a permanent lifecycle. In this step, each time the lifecycle of a target event to be managed is generated, a corresponding lifecycle management strategy can be generated according to the business scoring result of each target event. For example, it can be set that the higher the business scoring result, the longer the corresponding lifecycle.

[0033] The tracking point management strategy generation method provided in this embodiment, for any target tracking point, determines the target business consumption entity corresponding to the target tracking point, and determines the target business indicators related to the target tracking point and the target business consumption entity. The target tracking point is then scored using each of the target business indicators to determine the corresponding business score result, and a lifecycle strategy for the target tracking point is generated accordingly. By scoring the target tracking point using multi-dimensional business indicators, the method solves the problem of single evaluation dimensions in related technologies being too one-sided and unable to comprehensively and accurately reflect the true value of the tracking point, ensuring accurate and effective lifecycle management of the target tracking point. Furthermore, by automating the scoring of target tracking points and managing their lifecycle based on the generated business score results, the method solves the problem of extremely high costs and significant manpower and time consumption associated with manually sorting through a large number of existing tracking points.

[0034] This embodiment provides a method for generating tracking point management strategies, which can be used in the aforementioned terminal devices, such as desktop computers, laptops, mobile phones, tablets, etc. Figure 3 This is a flowchart of a method for generating tracking point management strategies according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps: Step S301: For any target tracking point to be managed, determine the target business consumption entity corresponding to the target tracking point based on the correspondence between the target tracking point and the business consumption entity.

[0035] Please see details Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0036] Step S302: Determine the target business metrics related to the target tracking points and the target business consumption entities.

[0037] Please see details Figure 2 Step S202 of the illustrated embodiment will not be described again here.

[0038] In some optional implementations, step S302, “determining target business metrics related to target tracking points and target business consumption entities,” includes steps a1 and a2.

[0039] Step a1: Determine the first business metric corresponding to the target tracking point based on the business metadata corresponding to the target tracking point.

[0040] Step a2: Based on the consumption entity data corresponding to the target business consumption entity, determine the second business indicator corresponding to the target tracking point.

[0041] In determining the target business metric corresponding to a target tracking point, the business metadata corresponding to that target tracking point can be obtained first. The first business metric corresponding to the target tracking point can then be directly determined from this metadata. The business metadata consists of all business data for that target tracking point, i.e., data collected by the tracking point to describe specific user behavior. For example, business metadata may include at least one of the tracking point's identifier (e.g., tracking point ID), trigger duration, and trigger time. The first business metric can be determined through the target tracking point's business metadata. The first business metric is a business metric that can be directly determined through the target tracking point's business metadata; that is, the target business metric includes the first business metric. For example, the first business metric could be a business metric such as "data collection frequency," which can be obtained without needing to go through the target business consumption entity corresponding to the target tracking point.

[0042] Furthermore, another set of target business metrics can be indirectly determined by relying on the target business consumption entity corresponding to the target tracking point. These target business metrics are the second set of business metrics, meaning that the target business metrics also include the second set of business metrics. For example, when obtaining the business metrics corresponding to "business core level," it is not possible to determine them through the business metadata corresponding to the target tracking point itself. In this case, the target business consumption entity corresponding to the target tracking point can be determined, and then the metrics can be determined based on the consumption entity data corresponding to the target business consumption entity. The consumption entity data consists of some attribute values ​​that the target business consumption entity has, such as the priority and subordinate department of the target business consumption entity. For example, in the consumption entity data corresponding to the target business consumption entity, the priority of the target business consumption entity (e.g., P0, P1, P2, etc.) can be used as the business metric for "business core level" of the target tracking point. The business metrics corresponding to "business requirements" in the target tracking point can also be determined based on the business status tags of the target business consumption entity (e.g., "normal use," "corresponding business function offline," etc.).

[0043] Step S303: Score the target tracking points using various target business metrics to determine the business scoring results corresponding to the target tracking points.

[0044] Please see details Figure 2 Step S203 of the illustrated embodiment will not be described again here.

[0045] In some optional implementations, step S303, "scoring the target tracking points through various target business indicators and determining the business scoring results corresponding to the target tracking points", includes steps S3031 and S3032.

[0046] Step S3031: Determine the target business score corresponding to each target business indicator based on the mapping relationship between business indicators and business scores.

[0047] Step S3032: Determine the business scoring result corresponding to the target embedding point based on the score of each target business.

[0048] In some cases, business metrics cannot be directly used as business scores. The target business score for each target business metric at the target tracking point can be determined by establishing a mapping relationship between business metrics and business scores. This mapping relationship can be a pre-defined one; for example, when the "Business Coreness" metric is P1, its corresponding business score could be 7, and when the "Business Coreness" metric is P2, its corresponding business score could be 4.

[0049] In some cases, the highest score under a given indicator can be taken as the corresponding business score. For example, when a target tracking point corresponds to multiple target business consumption entities, the "business core score" indicator can have multiple values ​​(e.g., P1, P2). In this case, the highest value (e.g., P1) can be selected as the indicator value of the "business core score" indicator, and the target business score can be determined. In this embodiment, the business score can be between 0 and 10. In some cases, normalization processing can also be performed, that is, different indicator values ​​are mapped to a score within a unified range (e.g., 0 to 10), i.e., the mapping relationship is a normalized mapping relationship.

[0050] After determining the target business scores for each target tracking point, the corresponding business scoring result can be determined based on these scores. For example, the average of the target business scores can be used as the business scoring result.

[0051] In some optional implementations, step S3032, "determine the business scoring result corresponding to the target embedding point based on each target business score", includes steps b1 and b2.

[0052] Step b1: Determine the business weights corresponding to each target business indicator.

[0053] Step b2: Calculate the weighted sum of the scores for each target business based on its corresponding business weight to determine the business score result corresponding to the target tracking point.

[0054] In some cases, to more accurately generate business scoring results corresponding to target tracking points, different weights can be assigned to each target business indicator, i.e., business weights. For example, the business indicators required to calculate the current business scoring result include "business core strength" and "data collection frequency." The weight of the "business core strength" indicator can be 0.7, and the weight of the "data collection frequency" indicator can be 0.3. In determining the business weights of each target business indicator, the corresponding business weights can be obtained through a pre-defined correspondence between business indicators and business weights. It can be understood that the business weight of the target business indicator is also the weight of the target business score.

[0055] Then, the target business scores can be weighted and summed to calculate the business score result corresponding to the target tracking point. For example, if the target business score corresponding to "business coreness" is 7 and the target business score corresponding to "data collection frequency" is 5, then the business score result of the target tracking point is 7×0.7+5×0.3, which is 6.4.

[0056] In some optional implementations, the method further includes step c1 before scoring the target tracking point using business metrics to determine the business score result corresponding to the target tracking point.

[0057] Step c1: In response to the input event for the business weight corresponding to the business metric, store the business weight corresponding to the input business metric.

[0058] As mentioned earlier, the corresponding business weight can be obtained through the preset correspondence between business indicators and business weights. This preset correspondence between business indicators and business weights can be modified. For example, the user can change the weight of the "business coreness" indicator from 0.7 to 0.6, or add a business weight corresponding to a business indicator. For example, after adding the "business demand" indicator, the weight of the business indicator can be set to 0.1.

[0059] In some alternative implementations, after determining the lifecycle management strategy for the target tracking point, the method further includes steps d1 and d2.

[0060] Step d1: At the policy update time point corresponding to the target tracking point, redetermine the business scoring result corresponding to the target tracking point. The policy update time point includes the lifecycle expiration time point of the target tracking point.

[0061] Step d2: Update the lifecycle management strategy for the target tracking points based on the redefined business scoring results.

[0062] If the current time point is the policy update time point for the target tracking point, the business score result of the target tracking point can be re-evaluated. The policy update time point can include the lifecycle expiration time point of the target tracking point. For example, at the lifecycle expiration time point corresponding to the target tracking point, the business score result of the target tracking point is recalculated, and the lifecycle management policy of the target tracking point is updated to ensure that the target tracking point is not deleted by mistake. For example, by recalculating the business score result of the target tracking point, it is ensured that high-scoring tracking points are not deleted due to lifecycle expiration. In practical applications, if the score is low after recalculation, the lifecycle can be updated to 0. That is, deleting a tracking point is essentially an update of the lifecycle management policy. The step of redetermining the lifecycle management policy of the target tracking point is steps S301 to S304, that is, first redetermine the business score result corresponding to the target tracking point, and then update the lifecycle management policy of the target tracking point according to the re-determined business value.

[0063] In practical applications, regular strategy updates can also be performed. For example, some periodic strategy update points can be added. In addition to the expiration of the life cycle corresponding to the target tracking point, the life cycle of the target tracking point can also be updated regularly (e.g., monthly, weekly).

[0064] Figure 4 This is a flowchart illustrating the generation of a lifecycle management strategy according to this embodiment. When a lifecycle management strategy needs to be generated, the target business consumption entity corresponding to the target tracking point is determined based on the lineage graph in the multidimensional value assessment model. A business scoring result is generated based on the tracking point's business metadata and the consumption entity's data, and a lifecycle management strategy is generated based on the business scoring result. After a period of time following the completion of lifecycle management, for example, if the current time point is the strategy update time point for the target tracking point, a new lifecycle management strategy can be generated for the target tracking point. That is, when the lifecycle management strategy needs to be updated, a new lifecycle management strategy also needs to be generated. Simultaneously, users can optimize the multidimensional value assessment model based on the effectiveness of the lifecycle management strategy. For example, they can modify or add preset correspondences between business indicators and business weights, such as modifying the magnitude of the business weights corresponding to business indicators.

[0065] The tracking point management strategy generation method provided in this embodiment manages target tracking points by setting their lifecycle, solving problems such as invalid tracking point retention and resource waste caused by changes in demand during business development. Secondly, it automatically scores target tracking points by generating corresponding scores for each target business indicator and performing weighted summation. Based on the generated business score results, it manages the lifecycle of tracking points, solving the problem of extremely high costs and significant manpower and time consumption for manual sorting when there are a large number of existing tracking points. Furthermore, by scoring target tracking points using multi-dimensional data, it addresses the issue that a single evaluation dimension in related technologies is too one-sided and cannot comprehensively and accurately reflect the true value of tracking points, ensuring accurate and effective lifecycle management of target tracking points.

[0066] This embodiment also provides a device for generating tracking point management strategies. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0067] This embodiment provides a device for generating tracking point management strategies, such as... Figure 5 As shown, it includes: The entity determination module 501 is used to determine the target business consumption entity corresponding to any target tracking point to be managed, based on the correspondence between the target tracking point and the business consumption entity.

[0068] The indicator determination module 502 is used to determine the target business indicators related to the target tracking points and the target business consumption entities.

[0069] The scoring calculation module 503 is used to score the target tracking points through various target business indicators and determine the business scoring results corresponding to the target tracking points.

[0070] The strategy generation module 504 is used to determine the lifecycle management strategy of the target tracking point based on the business scoring results corresponding to the target tracking point.

[0071] In some alternative implementations, the indicator determination module 502 includes: The first indicator determination submodule is used to determine the first business indicator corresponding to the target tracking point based on the business metadata corresponding to the target tracking point.

[0072] The second indicator determination submodule is used to determine the second business indicator corresponding to the target tracking point based on the consumption entity data corresponding to the target business consumption entity.

[0073] In some alternative implementations, the scoring calculation module 503 includes: The indicator score calculation submodule is used to determine the target business score corresponding to each target business indicator based on the mapping relationship between business indicators and business scores.

[0074] The scoring calculation submodule is used to determine the business scoring result corresponding to the target tracking point based on the score of each target business.

[0075] In some optional implementations, the scoring calculation submodule includes: The weight determination unit is used to determine the business weights corresponding to each target business indicator.

[0076] The scoring determination unit is used to weight and sum the scores of each target business according to the corresponding business weight, and determine the business scoring result corresponding to the target tracking point.

[0077] In some optional implementations, the event tracking management strategy generation device further includes: The weight storage module is used to respond to input events for the business weights corresponding to business metrics and store the business weights corresponding to the input business metrics.

[0078] In some optional implementations, the event tracking management strategy generation apparatus further includes: The re-scoring module is used to redetermine the business scoring result corresponding to the target tracking point at the policy update time point. The policy update time point includes the lifecycle expiration time of the target tracking point.

[0079] The strategy update module is used to update the lifecycle management strategy of the target tracking points based on the redefined business scoring results.

[0080] The tracking point management strategy generation device provided in this embodiment of the invention can execute the tracking point management strategy generation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Further functional descriptions of the above modules and units are the same as in the corresponding embodiments described above, and will not be repeated here.

[0081] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0082] The following is a detailed reference. Figure 6This diagram illustrates a suitable structural design for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 601, which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) 602 or a program loaded from memory 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for the operation of the electronic device. The processor 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0083] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0084] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a memory 608, or installed from a ROM 602. When the computer program is executed by the processor 601, it performs the functions defined in the data entry management strategy generation method of the embodiments of the present invention.

[0085] Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0086] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium after being downloaded via a network. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the method for generating tracking point management strategies shown in the above embodiments is implemented.

[0087] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0088] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for generating tracking point management strategies, characterized in that, The method includes: For any target tracking point to be managed, the target business consumption entity corresponding to the target tracking point is determined according to the correspondence between the target tracking point and the business consumption entity. Determine the target business metrics related to the target tracking points and the target business consumption entity; The target tracking points are scored using each of the target business metrics to determine the business scoring result corresponding to each target tracking point. Based on the business scoring results corresponding to the target tracking point, determine the lifecycle management strategy for the target tracking point.

2. The method according to claim 1, characterized in that, The determination of target business metrics related to the target tracking point and the target business consumption entity includes: Based on the business metadata corresponding to the target tracking point, determine the first business indicator corresponding to the target tracking point; Based on the consumption entity data corresponding to the target business consumption entity, determine the second business indicator corresponding to the target tracking point.

3. The method according to claim 1, characterized in that, The step of scoring the target tracking point using each of the target business metrics to determine the business scoring result corresponding to the target tracking point includes: Based on the mapping relationship between business indicators and business scores, the target business score corresponding to each of the target business indicators is determined; The business scoring result corresponding to the target embedding point is determined based on the score of each target business.

4. The method according to claim 3, characterized in that, The step of determining the business scoring result corresponding to the target embedding point based on each of the target business scores includes: Determine the business weight corresponding to each of the target business indicators; The scores of each target business are weighted and summed according to the corresponding business weights to determine the business scoring result corresponding to the target embedding point.

5. The method according to claim 4, characterized in that, Before scoring the target tracking point using the business metrics to determine the business score result corresponding to the target tracking point, the method further includes: In response to an input event for the business weight corresponding to a business indicator, the input business weight corresponding to the business indicator is stored.

6. The method according to claim 1, characterized in that, After determining the lifecycle management strategy for the target tracking point, the method further includes: At the policy update time point corresponding to the target tracking point, the business scoring result corresponding to the target tracking point is re-determined; the policy update time point includes the lifecycle expiration time point of the target tracking point. Based on the redefined business scoring results, the lifecycle management strategy for the target data points is updated.

7. A device for generating tracking point management strategies, characterized in that, The device includes: The entity determination module is used to determine the target business consumption entity corresponding to any target tracking point to be managed, based on the correspondence between the target tracking point and the business consumption entity. The indicator determination module is used to determine the target business indicators related to the target tracking point and the target business consumption entity. The scoring calculation module is used to score the target tracking point using each of the target business indicators, and to determine the business scoring result corresponding to the target tracking point. The strategy generation module is used to determine the lifecycle management strategy for the target tracking point based on the business scoring result corresponding to the target tracking point.

8. An electronic device, characterized in that, include: A memory and a processor are interconnected, the memory stores computer instructions, and the processor executes the computer instructions to perform the data tracking management strategy generation method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the data tracking management strategy generation method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions, which are used to cause a computer to execute the data tracking management strategy generation method according to any one of claims 1 to 6.

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