CN115375277A

CN115375277A - Report generation method, device, equipment and computer readable storage medium

Info

Publication number: CN115375277A
Application number: CN202211025486.5A
Authority: CN
Inventors: 郑海山; 张逸; 陈细平
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2022-08-25
Filing date: 2022-08-25
Publication date: 2022-11-22

Abstract

The application discloses a report generation method, a report generation device, report generation equipment and a computer-readable storage medium. Wherein, the method comprises the following steps: acquiring target data of a plurality of target mechanisms; according to the dimension configuration information respectively corresponding to the target mechanisms, counting the target data from multiple dimensions to obtain a statistical result; and generating statistical reports corresponding to the plurality of target organizations based on the statistical results. According to the report generation method, the flow cycle of comprehensive analysis of the service conditions of the multiple target mechanisms can be shortened, the timeliness of the report is improved, and the formulation of a subsequent work plan is guaranteed.

Description

Report generation method, device, equipment and computer readable storage medium

Technical Field

The present application belongs to the field of computer technologies, and in particular, to a report generation method, apparatus, device, and computer-readable storage medium.

Background

With the development of socio-economy, the hierarchical relationship of the organization is increasingly complicated. For example, the current bank level may include a plurality of levels, such as a head office, a first level branch, a second level branch, and so on. In order to make a subsequent work plan, the superior organization not only needs to perform statistical analysis on the business conditions of the mechanism, but also needs to summarize the business conditions of a plurality of subordinate organizations and perform comprehensive analysis on the business conditions of the plurality of subordinate organizations. The results of the statistical analysis are typically presented in the form of a report.

In the prior art, an organization performs statistical analysis on the business condition of the organization by using an excel report statistical analysis mode. However, due to the different statistical requirements of different organizations, the statistical analysis dimensions of the organizations may be different. Therefore, when the service conditions of a plurality of target organizations (for example, subordinate organizations) are comprehensively analyzed, statistics needs to be performed again, which results in a long flow cycle of the statistical analysis and poor timeliness of the report, thereby delaying the formulation of the subsequent work plan.

Disclosure of Invention

The embodiment of the application provides a report generation method, a report generation device, a report generation equipment, a computer readable storage medium and a computer program product, which can shorten the flow cycle of comprehensive analysis of the service conditions of a plurality of target mechanisms, improve the timeliness of a report and ensure the formulation of a subsequent work plan.

In a first aspect, an embodiment of the present application provides a report generation method, where the method includes:

acquiring target data of a plurality of target mechanisms;

according to the dimension configuration information respectively corresponding to the target mechanisms, counting the target data from multiple dimensions to obtain a statistical result;

and generating a statistical report corresponding to the plurality of target organizations based on the statistical result.

In one possible implementation, before the obtaining the target data of the plurality of target institutions, the method further comprises:

determining a target moment based on a timing task management module;

determining a target statistical period corresponding to the target time based on a data table, wherein the data table is used for storing the corresponding relation between the target time and the target statistical period;

the acquiring target data of a plurality of target mechanisms comprises:

and acquiring target data of a plurality of target mechanisms in a target statistical period.

In a possible implementation manner, in a case that the target statistical period is multiple, the acquiring target data of multiple target institutions within the target statistical period includes:

sequentially acquiring multiple groups of target data of multiple target mechanisms in multiple target statistical periods;

the counting the target data from multiple dimensions according to the dimension configuration information respectively corresponding to the multiple target mechanisms to obtain a statistical result includes:

and sequentially counting the multiple groups of target data from multiple dimensions according to the dimension configuration information respectively corresponding to the multiple target mechanisms to obtain multiple groups of statistical results.

In one possible implementation, the acquiring target data of a plurality of target institutions includes:

acquiring service data of a plurality of target mechanisms;

and carrying out data preprocessing on the service data to obtain target data.

In one possible implementation, the generating a statistical report corresponding to the plurality of target institutions based on the statistical result includes:

and performing text integration on the statistical results based on the dialect template to obtain statistical reports corresponding to the target institutions.

In a possible implementation manner, after the generating of the statistical report corresponding to the plurality of target organizations based on the statistical result, the method further includes:

and sending the statistical report to a target mailbox according to mailbox configuration information.

In one possible implementation, the method further includes:

receiving a first input of a user for modifying the dimension configuration information;

responding to the first input, updating the dimension configuration information to obtain updated dimension configuration information;

and counting the target data from multiple dimensions according to the updated dimension configuration information corresponding to the multiple target mechanisms respectively to obtain a statistical result.

In a second aspect, an embodiment of the present application provides a report generation apparatus, including:

the acquisition module is used for acquiring target data of a plurality of target mechanisms;

the statistical module is used for carrying out statistics on the target data from multiple dimensions according to dimension configuration information respectively corresponding to the multiple target mechanisms to obtain a statistical result;

and the generation module is used for generating statistical reports corresponding to the target institutions based on the statistical results.

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements the method of any one of the possible implementation methods of the first aspect described above.

In a fourth aspect, the present application provides a computer-readable storage medium, on which computer program instructions are stored, and the computer program instructions, when executed by a processor, implement the method in any one of the possible implementation methods of the first aspect.

In a fifth aspect, the present application provides a computer program product, where instructions of the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the method in any one of the possible implementation methods as described in the first aspect.

According to the report generation method, the report generation device, the report generation equipment, the computer readable storage medium and the computer program product, the target data are counted from multiple dimensions according to the dimension configuration information corresponding to the multiple target mechanisms respectively to obtain the statistical result, and the service conditions of the multiple target mechanisms can be comprehensively analyzed from the multiple dimensions under the condition that the dimension configuration information corresponding to the multiple target mechanisms respectively is different. By generating the statistical reports corresponding to the target mechanisms based on the statistical results, the statistical reports can be generated quickly, the flow period for comprehensively analyzing the service conditions of the target mechanisms can be shortened, the timeliness of the reports can be improved, and the formulation of subsequent work plans can be ensured.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic flowchart of a report generation method provided in an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram of another report generation method provided by an embodiment of the present application;

fig. 3 is a schematic structural diagram of a report generation apparatus according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Features of various aspects and exemplary embodiments of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of, and not restrictive on, the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising 8230; \8230;" comprises 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

In addition, the data acquisition, storage, use, processing and the like in the technical scheme of the application all conform to relevant regulations of national laws and regulations.

With the development of modern society, the demand of loan for people increases year by year. At present, various banks adopt an excel statement statistical analysis mode to carry out statistics and analysis on loan pricing service conditions.

However, the method of statistical analysis by using excel report forms is time-consuming and labor-consuming, and has low efficiency, so that the flow period of summarizing the analysis reports of each branch by the head office is long, the timeliness is poor, and the summary cannot be performed in a short time after the end of a month, a season and a year, thereby delaying the head office from performing subsequent work planning.

In order to solve the problems in the prior art, embodiments of the present application provide a report generation method, an apparatus, a device, a computer-readable storage medium, and a computer program product.

First, a report generation method provided in an embodiment of the present application will be described below.

Fig. 1 shows a flowchart of a report generation method provided in an embodiment of the present application. As shown in fig. 1, a report generation method provided in an embodiment of the present application includes the following steps:

s110, acquiring target data of a plurality of target mechanisms;

s120, counting target data from multiple dimensions according to dimension configuration information respectively corresponding to multiple target mechanisms to obtain a counting result;

and S130, generating statistical reports corresponding to the plurality of target organizations based on the statistical results.

According to the report generation method, the target data are counted from multiple dimensions according to the dimension configuration information corresponding to the multiple target mechanisms respectively, the statistical result is obtained, and under the condition that the dimension configuration information corresponding to the multiple target mechanisms respectively is different, the service conditions of the multiple target mechanisms can be comprehensively analyzed from the multiple dimensions. By generating the statistical reports corresponding to the target mechanisms based on the statistical results, the statistical reports can be generated quickly, the flow period of comprehensive analysis on the service conditions of the target mechanisms can be shortened, the timeliness of the reports is improved, and the formulation of subsequent work plans is guaranteed.

Specific implementations of the above steps are described below.

In some embodiments, in S110, the plurality of target institutions may be a plurality of lower institutions corresponding to the upper institution. The target data may be business data corresponding to the target organization. Where the transaction is a loan transaction, the transaction data may be, for example, loan pricing, loan interest rate, loan products, loan industry, and so forth.

As an example, the target data may be stored in a database. Based on this, target data of a plurality of target institutions can be acquired from the database.

Based on this, in order to obtain target data for data statistics, in some embodiments, S110 may specifically include:

acquiring service data of a plurality of target mechanisms;

and carrying out data preprocessing on the service data to obtain target data.

Here, the data preprocessing may be missing value processing, abnormal value processing, data integration, data desensitization, or the like.

As an example, each target organization may correspond to multiple sets of business data, and the dimensions of the business data corresponding to different target organizations may be different. Therefore, after the business data of a plurality of target mechanisms are obtained, data dimensionality can be unified by performing data preprocessing on the business data to obtain the target data.

As another example, sensitive data may exist in the service data, and in order to protect the privacy of the user, desensitization processing may be performed on the service data to obtain target data.

In this way, by performing data preprocessing on the service data, target data for data statistics can be obtained.

In some embodiments, in S120, the dimension configuration information may be preset statistical dimension information, and the category of the statistical dimension information may be, for example, a loan-on-public product, a size of a business, a personal loan product, a credit rating, a result manner, and the like. The dimension configuration information corresponding to each target institution may include one statistical dimension information or may include a plurality of statistical dimension information. In addition, the dimension configuration information corresponding to the plurality of target mechanisms may be the same or different. The dimension configuration information may be stored in a configuration information module.

As an example, the target data is counted according to the dimension configuration information corresponding to each target mechanism, so as to obtain a statistical result corresponding to each target mechanism.

As another example, in order to comprehensively analyze the service conditions of multiple target organizations, for each dimension in the dimension configuration information, the target data may be counted respectively, so as to obtain a statistical result corresponding to the multiple target organizations in common. The statistical modes of different dimensions may be different, and each dimension may correspond to a statistical result. In addition, the statistical results may be presented in the form of a graph.

As another example, when data statistics needs to be performed a plurality of times, in the configuration information module, priorities of a plurality of target institutions may be set in advance, and further, data statistics may be performed in sequence according to the priorities of the plurality of target institutions to obtain a statistical result.

In some embodiments, in S130, the statistical report may be a report obtained after analyzing the statistical result, and the statistical report may have both text analysis and graphical presentation. The statistical report may, for example, analyze the contribution of the weighted average interest rate to loan pricing. The statistical reports corresponding to the plurality of target institutions may be statistical reports corresponding to each target institution, or may be statistical reports corresponding to a plurality of target institutions in common.

Based on this, in order that the statistical report not only can visually display the statistical result, but also has strong readability, in some embodiments, S130 may specifically include:

and performing text integration on the statistical result based on the dialect template to obtain statistical reports corresponding to a plurality of target institutions.

Here, the dialogistic template may be a preset statistical analysis template for the text category. The dialogical template corresponding to different statistical dimension information can be different.

Therefore, the statistical report is obtained by integrating the text of the statistical result based on the dialect template, so that the statistical report not only can intuitively display the statistical result, but also has strong readability.

Based on this, in order to ensure the availability of the statistical result, in some embodiments, the method may further include:

receiving a first input of a user for modifying dimension configuration information;

responding to the first input, updating the dimension configuration information to obtain the updated dimension configuration information;

based on this, S130 may specifically include:

and according to the updated dimension configuration information corresponding to the target mechanisms respectively, counting the target data from multiple dimensions to obtain a statistical result.

Here, the dimension configuration information may be maintained at the front-end interface. After the user modifies the dimension configuration information, the dimension configuration information may be updated and the target data may be counted based on the updated dimension configuration information.

As an example, the updated dimension configuration information may each be stored in a configuration information module. Based on this, updated dimension configuration information may be obtained from the configuration information module.

Therefore, the dimension configuration information is updated based on the modification of the dimension configuration information by the user, the target data can be counted based on the latest dimension configuration information, and the usability of the counting result is ensured.

Based on this, in order to enhance the user experience, in some embodiments, after S130, the method may further include:

and sending the statistical report to a target mailbox according to the mailbox configuration information.

Here, the mailbox configuration information may be stored in the configuration information module, and the mailbox configuration information may be, for example, a relationship between mailbox information of an organization, an organization principal, and an organization principal. In addition, the target mailbox may be a mailbox corresponding to each of the plurality of target entities, or may be a mailbox corresponding to a higher-level entity of the plurality of target entities. If the statistical report is a statistical report corresponding to a plurality of target institutions in common, the statistical report may be sent to a mailbox corresponding to a superior institution of the plurality of target institutions. If the statistical report is a statistical report corresponding to each target organization, the statistical report may be sent to a mailbox corresponding to each target organization.

Therefore, the statistical report is sent to the target mailbox, so that the user can receive and check the statistical report, and the user experience is improved.

In order to further improve the user experience, as another implementation manner of the present application, the present application further provides another implementation manner of the report generation method, which is specifically referred to the following embodiments.

Referring to fig. 2, the report generating method provided in the embodiment of the present application may further include, before S110 shown in the above embodiment, the following steps:

s210, determining a target moment based on a timing task management module;

s220, determining a target statistical period corresponding to the target time based on a data table, wherein the data table is used for storing the corresponding relation between the target time and the target statistical period;

based on this, S110 may specifically include:

and S111, acquiring target data of a plurality of target mechanisms in a target statistical period.

Thus, by specifying the target time based on the timed task management module, the start statistical time of the report can be automatically specified. By determining the target statistical period according to the target time and acquiring the target data of a plurality of target mechanisms in the target statistical period, the target data can be acquired at regular time, and further a statistical report can be generated at regular time according to the target data.

Specific implementations of the above steps are described below.

In some embodiments, in S210, the timed task management module may be a roban task module. The target time may be a time preset in the timed task management module by the user. The target time may be plural, and may be a certain time at the end of each month, for example.

In some embodiments, in S220, the target statistical period may be a statistical count period of the statistical report. The target statistical period may be monthly, quarterly, or yearly, and accordingly, the statistical report may be a monthly report, a quarterly report, or an annual report. In addition, the target statistical period may be one or more.

As an example, if the target time is a certain time at the bottom of 1 month, the target statistical period may be monthly, that is, the target data of 1 month may be counted; if the target time is a certain time at the bottom of 3 months, the target statistical period can be monthly and quarterly, namely the target data of 3 months can be counted, and the target data of 1-3 months can also be counted; if the target time is a certain time at the bottom of 12 months, the target statistical period can be monthly, quarterly and yearly, that is, the target data of 12 months can be counted, the target data of 10-12 months can be counted, and the target data of 1-12 months can be counted.

Based on this, in order to shorten the statistical time of the report and improve the timeliness of the report, in some embodiments, in the case that the target statistical period is multiple, S111 may specifically include:

based on this, S120 may specifically include:

and sequentially counting multiple groups of target data from multiple dimensions according to dimension configuration information corresponding to the multiple target mechanisms respectively to obtain multiple groups of statistical results.

Here, the plurality of sets of target data may be monthly target data, quarterly target data, and annual target data, and the plurality of sets of statistics may be monthly statistics, quarterly statistics, and statistics.

As an example, if the target statistical period is monthly, quarterly, and yearly, target data of a plurality of target institutions monthly, target data of a plurality of target institutions quarterly, and target data of a plurality of target institutions yearly may be acquired in this order.

As another example, after acquiring monthly target data of a plurality of target institutions, the monthly target data may be counted to obtain monthly statistical results, and a monthly statistical report may be generated according to the monthly statistical results. After the monthly statistical report is generated, quarterly target data of a plurality of target organizations can be obtained, the quarterly target data are counted to obtain a quarterly statistical result, and the quarterly statistical report is generated according to the quarterly statistical result. The process of generating the annual statistics report is consistent with the above process, and is not described herein again.

In this way, by sequentially acquiring a plurality of sets of target data of a plurality of target institutions in a plurality of target statistical cycles and generating a plurality of statistical reports from the plurality of sets of target data, a plurality of statistical reports for the plurality of target statistical cycles can be generated in a short time, thereby shortening the statistical time of the reports and improving the timeliness of the reports.

In addition, other steps of the method in the embodiment of the present application can refer to the related description of the embodiment shown in fig. 1, and are not repeated herein.

In order to better describe the whole scheme, specific examples are given based on the above embodiments.

For example, the timed task management module may periodically invoke the script at a target time (e.g., the end of the month and month) to cause the task validation module in the script to obtain a target statistical period corresponding to the target time from the database table. In the case that the target statistical period is one, task data of a plurality of target institutions in the target statistical period can be acquired. Target data which can be used for statistical analysis is obtained by preprocessing the task data. After the target data is acquired, dimension configuration information corresponding to the target mechanism can be acquired from the configuration information module. Based on the dimension configuration information, the target data of each target mechanism can be respectively counted to obtain a statistical result corresponding to each target mechanism. And comprehensively counting the target data of the plurality of target mechanisms to obtain a statistical result corresponding to the plurality of target mechanisms. After the statistical result is obtained, a statistical report can be generated based on the statistical result, and the statistical report is sent to the target mailbox according to the mailbox configuration information. The statistical report corresponding to each target organization can be sent to the mailbox of the responsible person of each target organization, and the statistical report corresponding to a plurality of target organizations can be sent to the mailboxes of the responsible persons of the superior organizations of the plurality of target organizations. In addition, in the configuration information module, priorities of a plurality of target institutions may be set in advance, and further, a statistical report may be sequentially generated according to the priorities of the plurality of target institutions.

For another example, when there are a plurality of target statistics periods, the target data of a plurality of target institutions in the target statistics period may be sequentially acquired, and the statistics report may be generated according to the target data. After the target data statistics in one target statistics period is completed, the execution can be returned to generate the statistics report according to the target data until the target data statistics in all the target statistics periods are completed.

Therefore, by acquiring the target data of a plurality of target mechanisms in a target period at regular time, generating a statistical report according to the target data and sending the statistical report to a target mailbox, the business data in the target statistical period can be subjected to statistical analysis in a short time, so that the responsible person of the mechanism can know the business condition in time and formulate a subsequent work plan. Through counting the target data according to the dimension configuration information corresponding to the target mechanism, data counting can be performed from a plurality of different dimensions, and the user experience is improved.

Based on the report generation method provided by the above embodiment, correspondingly, the application also provides a specific implementation manner of the report generation device. Please see the examples below.

As shown in fig. 3, a report generation apparatus 300 provided in the embodiment of the present application includes the following modules:

an obtaining module 310, configured to obtain target data of a plurality of target institutions;

the statistical module 320 is configured to perform statistics on target data from multiple dimensions according to dimension configuration information corresponding to multiple target mechanisms, respectively, to obtain a statistical result;

a generating module 330, configured to generate statistical reports corresponding to a plurality of target organizations based on the statistical results.

The report generation device 300 is described in detail below, specifically as follows:

in some of these embodiments, the report generating apparatus 300 may further include:

the first determining module is used for determining target time based on the timed task management module before acquiring target data of a plurality of target mechanisms;

the second determining module is used for determining a target statistical period corresponding to the target time based on a data table, and the data table is used for storing the corresponding relation between the target time and the target statistical period;

based on this, the obtaining module 310 may specifically include:

the first acquisition submodule is used for acquiring target data of a plurality of target mechanisms in a target statistical period.

In some embodiments, when the target statistical period is multiple, the first obtaining sub-module may specifically include:

the acquisition unit is used for sequentially acquiring a plurality of groups of target data of a plurality of target mechanisms in a plurality of target statistical periods;

based on this, the statistical module 320 may specifically include:

and the first statistic submodule is used for sequentially carrying out statistics on multiple groups of target data from multiple dimensions according to the dimension configuration information respectively corresponding to the multiple target mechanisms to obtain multiple groups of statistical results.

In some embodiments, the obtaining module 310 may further include:

the second acquisition submodule is used for acquiring the service data of a plurality of target mechanisms;

and the processing submodule is used for carrying out data preprocessing on the service data to obtain target data.

In some embodiments, the generating module 330 may specifically include:

and the integration submodule is used for performing text integration on the statistical result based on the dialect template to obtain the statistical reports corresponding to the plurality of target institutions.

In some embodiments, the report generating apparatus 300 may further include:

and the sending module is used for sending the statistical report to the target mailbox according to the mailbox configuration information after generating the statistical report corresponding to the target mechanisms based on the statistical result.

In some embodiments, the report generating apparatus 300 may further include:

the receiving module is used for receiving first input used by a user for modifying the dimension configuration information;

the updating module is used for responding to the first input and updating the dimension configuration information to obtain the updated dimension configuration information;

based on this, the statistical module 320 may specifically include:

and the second counting submodule is used for counting the target data from multiple dimensions according to the updated dimension configuration information corresponding to the multiple target mechanisms respectively to obtain a counting result.

The report generation device according to the embodiment of the application can perform statistics on target data from multiple dimensions according to the dimension configuration information corresponding to each of the multiple target institutions to obtain statistical results, and can perform comprehensive analysis on the service conditions of the multiple target institutions from the multiple dimensions under the condition that the dimension configuration information corresponding to each of the multiple target institutions is different. By generating the statistical reports corresponding to the target mechanisms based on the statistical results, the statistical reports can be generated quickly, the flow period of comprehensive analysis on the service conditions of the target mechanisms can be shortened, the timeliness of the reports is improved, and the formulation of subsequent work plans is guaranteed.

Based on the report generation method provided by the above embodiment, the embodiment of the present application further provides a specific implementation manner of the electronic device. Fig. 4 shows a schematic diagram of an electronic device 400 provided in an embodiment of the present application.

Electronic device 400 may include a processor 410 and a memory 420 having computer program instructions stored therein.

Specifically, the processor 410 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 420 may include mass storage for data or instructions. By way of example, and not limitation, memory 420 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, magnetic tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 420 may include removable or non-removable (or fixed) media, where appropriate. Memory 420 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 420 is a non-volatile solid-state memory.

The memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform operations described with reference to the method according to an aspect of the application.

The processor 410 implements any of the report generation methods in the above embodiments by reading and executing computer program instructions stored in the memory 420.

In one example, electronic device 400 may also include a communication interface 430 and a bus 440. As shown in fig. 4, the processor 410, the memory 420, and the communication interface 430 are connected via a bus 440 to complete communication therebetween.

The communication interface 430 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.

Bus 440 includes hardware, software, or both coupling the components of the electronic device to one another. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 440 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the present application, any suitable buses or interconnects are contemplated by the present application.

Illustratively, the electronic device 400 may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like.

The electronic device may execute the report generation method in the embodiment of the present application based on the currently intercepted spam short messages and the short messages reported by the user, thereby implementing the report generation method and apparatus described with reference to fig. 1 to 3.

In addition, in combination with the report generation method in the foregoing embodiments, the embodiments of the present application may be implemented by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the report generation methods in the above embodiments.

It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps, after comprehending the spirit of the present application.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.

Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.

As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.

Claims

1. A report generation method, comprising:

acquiring target data of a plurality of target mechanisms;

according to the dimension configuration information corresponding to the target mechanisms respectively, counting the target data from multiple dimensions to obtain a statistical result;

and generating statistical reports corresponding to the plurality of target organizations based on the statistical results.

2. The method of claim 1, wherein prior to obtaining target data for a plurality of target institutions, the method further comprises:

determining a target moment based on a timing task management module;

the acquiring of target data of a plurality of target institutions comprises:

and acquiring target data of a plurality of target mechanisms in a target counting period.

3. The method according to claim 2, wherein in the case that the target statistical period is multiple, the acquiring target data of multiple target institutions within the target statistical period comprises:

and sequentially counting the multiple groups of target data from multiple dimensions according to dimension configuration information respectively corresponding to the multiple target mechanisms to obtain multiple groups of statistical results.

4. The method of claim 1, wherein the obtaining target data for a plurality of target institutions comprises:

acquiring service data of a plurality of target mechanisms;

and carrying out data preprocessing on the service data to obtain target data.

5. The method of claim 1, wherein generating a statistical report corresponding to the plurality of target institutions based on the statistical result comprises:

6. The method of claim 1, wherein after generating the statistical report corresponding to the plurality of target institutions based on the statistical result, the method further comprises:

7. The method of claim 1, further comprising:

and counting the target data from multiple dimensions according to the updated dimension configuration information corresponding to the target mechanisms respectively to obtain a statistical result.

8. An apparatus for generating a report, the apparatus comprising:

and the generation module is used for generating a statistical report corresponding to the target organizations based on the statistical result.

9. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements a report generation method as claimed in any of claims 1-7.

10. A computer-readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the report generation method of any of claims 1-7.

11. A computer program product, wherein instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform a report generation method according to any of claims 1-7.