CN113037617A

CN113037617A - Collaborative statistical method, system, electronic device and storage medium in communication application

Info

Publication number: CN113037617A
Application number: CN202110388821.7A
Authority: CN
Inventors: 尚国庆
Original assignee: Beijing Mininglamp Software System Co ltd
Current assignee: Beijing Mininglamp Software System Co ltd
Priority date: 2021-04-12
Filing date: 2021-04-12
Publication date: 2021-06-25
Anticipated expiration: 2041-04-12
Also published as: CN113037617B

Abstract

The invention provides a collaborative statistical method, a system, electronic equipment and a storage medium in communication application, wherein the technical scheme of the method comprises the steps of gathering and de-duplicating employee information and organization information in enterprise-level instant communication application to obtain basic information of employees; obtaining external contact person information in the enterprise instant messaging application, and obtaining basic information of a client according to the external contact person information and the relationship between the external contact person and the staff; acquiring meeting information in the enterprise-level instant messaging application, and associating the meeting information to the employee basic information and the client basic information; and acquiring the cooperation detail data of the employee in the enterprise-level instant messaging application according to the employee basic information and the client basic information which are associated with the conference information and the communication record in the enterprise-level instant messaging application. The invention solves the problem that the conventional statistical arrangement of the staff cooperation data in the enterprise is lack of flexibility.

Description

Collaborative statistical method, system, electronic device and storage medium in communication application

Technical Field

The invention belongs to the field of data processing, and particularly relates to a collaborative statistical method and system in communication application, electronic equipment and a storage medium.

Background

Enterprise Wechat can produce a large amount of information interaction as the intercom software of numerous small-and-medium-sized enterprises every day, and the administrator should filter out useful information better, is convenient for the enterprise to master enterprise's inside developments and development. For example, by utilizing the communication information in the team and by counting the communication network, communication change, total communication times and the like in the team, the manager reasonably arranges the time investment of the whole team on each project according to the data change condition of each week, and provides the decision basis of work management for the manager according to the individual work content of the team members.

The traditional analysis and arrangement of structured data usually adopts a relational database mysql, but when the data is large, performance bottleneck can be generated, and when multiple data sources are input, multiple groups of foreign key associations need to be set, so that the calculation is troublesome and time-consuming. The offline analysis platform hive based on the distributed system hdfs has the advantages of distributed storage and calculation, is good at processing large data volume, is provided with an optimization mechanism, has rich operator functions, can customize the functions, enhances the development flexibility and shortens the development time.

Disclosure of Invention

The embodiment of the application provides a collaborative statistical method, a collaborative statistical system, electronic equipment and a storage medium in communication application, and aims to at least solve the problem that the statistical arrangement of employee collaborative data in an existing enterprise is lack of flexibility.

In a first aspect, an embodiment of the present application provides a collaborative statistics method in a communication application, including: acquiring employee information, namely acquiring basic employee information after gathering and de-duplicating employee information and organization information in enterprise-level instant messaging application; a step of obtaining client information, which is to obtain external contact information in the enterprise instant messaging application and obtain basic client information according to the external contact information and the relationship between the external contact and the staff; a conference detail calculation step, namely acquiring conference information in the enterprise-level instant messaging application and associating the conference information to the employee basic information and the client basic information; and a collaboration detail calculating step, namely acquiring collaboration detail data of the employee in the enterprise-level instant messaging application according to the employee basic information and the client basic information which are associated with the conference information and according to the communication record in the enterprise-level instant messaging application.

Preferably, the cooperation detail calculating step further includes: and a first cooperation statistics step, namely acquiring group communication records in the communication records, acquiring the staff basic information and the client basic information participating in the group communication, and performing aggregation statistics on the group communication records, the staff basic information and the client basic information to acquire one-to-many first cooperation detail data.

Preferably, the cooperation detail calculating step further includes: and a second cooperation counting step, namely acquiring one-to-one communication record in the communication records, acquiring the employee basic information in the one-to-one communication, and counting and calculating second cooperation detail data according to the one-to-one communication record and the employee basic information.

Preferably, the cooperation detail calculating step further includes: and a collaboration detail aggregation step, namely acquiring team information including the superior-subordinate relationship of the staff according to the staff basic information, aggregating the first collaboration detail data and the second collaboration detail data according to the staff basic information, then associating the aggregated first collaboration detail data and the aggregated second collaboration detail data with the team information, and counting team collaboration detail data with the team as a dimensionality.

In a second aspect, an embodiment of the present application provides a system for collaborative statistics in communication application, which is suitable for the method for collaborative statistics in communication application, and includes: the employee information acquisition module is used for acquiring basic employee information after gathering and de-duplicating employee information and organization information in enterprise-level instant messaging application; the client information acquisition module is used for acquiring external contact person information in the enterprise instant messaging application and acquiring basic client information according to the external contact person information and the relationship between the external contact person and the staff; the conference detail calculation module is used for acquiring conference information in the enterprise-level instant messaging application and associating the conference information to the employee basic information and the client basic information; and the cooperation detail calculating module is used for acquiring cooperation detail data of the staff in the enterprise-level instant messaging application according to the staff basic information and the client basic information which are associated with the meeting information and the communication record in the enterprise-level instant messaging application.

In some embodiments, the collaboration detail calculating module further comprises: and the first collaboration statistical unit is used for acquiring group communication records in the communication records, acquiring the staff basic information and the client basic information participating in the group communication, and aggregating and counting the group communication records, the staff basic information and the client basic information to acquire one-to-many first collaboration detail data.

In some embodiments, the collaboration detail calculating module further comprises: and the second cooperation statistical unit is used for acquiring one-to-one communication record in the communication records, acquiring the staff basic information in the one-to-one communication, and calculating second cooperation detail data according to the one-to-one communication record and the staff basic information.

In some embodiments, the collaboration detail calculating module further comprises: the cooperation detail aggregation unit is used for acquiring team information including the upper-lower level relation of the staff according to the staff basic information, aggregating the first cooperation detail data and the second cooperation detail data according to the staff basic information, then associating the aggregated first cooperation detail data and the aggregated second cooperation detail data with the team information, and counting team cooperation detail data with the team as a dimensionality.

In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement a method for collaborative statistics in a communication application as described in the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for collaborative statistics in a communication application as described in the first aspect.

The invention can be applied to the field of data capability. Compared with the related technology, the collaborative statistical method in the communication application has the idea of data layering calculation, so that the calculation process is clearer, and the problem of repeated calculation of multiple data sources and the same index is effectively solved. The method has the advantages of high treatment efficiency and rapid calculation, can be based on the advantages of hive-column storage, high compression efficiency, multi-core parallel and rapid query in specific implementation, and can greatly improve the efficiency under a high-performance mapreduce calculation framework.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a flow chart of a method of collaborative statistics in a communication application according to the present invention;

FIG. 2 is a flowchart illustrating the substeps of step S4 in FIG. 1;

FIG. 3 is a block diagram of a collaborative statistics system in a communication application according to the present invention;

FIG. 4 is a block diagram of an electronic device of the present invention;

in the above figures:

1. an employee information acquisition module; 2. a client information acquisition module; 3. a meeting detail calculating module; 4. a collaboration detail calculation module; 41. a first collaborative statistics unit; 42. a second collaborative statistics unit; 43. a collaboration detail aggregation unit; 60. a bus; 61. a processor; 62. a memory; 63. a communication interface.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.

It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.

Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.

Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Embodiments of the invention are described in detail below with reference to the accompanying drawings:

fig. 1 is a flowchart of a cooperative statistical method in communication applications according to the present invention, and referring to fig. 1, the cooperative statistical method in communication applications according to the present invention includes the following steps:

in a specific implementation, the enterprise-level instant messaging application used in the embodiments of the present application is enterprise WeChat. In a specific implementation, data is obtained from enterprise WeChat and stored in a database, and the data exists in the database in the form of a table containing relationships.

S1: gathering and de-duplicating employee information and organization information in an enterprise-level instant messaging application to obtain basic employee information.

In a specific implementation, the department member table and the employee table are acquired in the enterprise WeChat according to the data source ods database, and optionally, the acquired data may be up to the current day. Converting, cleaning and de-duplicating data in the department member table, and sequencing according to time to obtain basic information of the department members at the latest time, including but not limited to names, mobile phone numbers, job numbers and mail information; optionally, the data in the employee table may be sorted by time to obtain other organization information of the latest time, including but not limited to job number, job level, post, superior id, and superior name. In specific implementation, the employee basic information including the content is further acquired through job number association and aggregation.

S2: and acquiring external contact person information in the enterprise instant messaging application, and acquiring basic information of a client according to the external contact person information and the relationship between the external contact person and the staff.

In specific implementation, according to the data source ods database, the external contact list, the external contact member list, and the employee client list including the mapping relationship between the employee and the client are obtained in the enterprise WeChat, and optionally, the obtained data may be up to the current day. In the specific implementation, the three pieces of table data are converted, cleaned, deduplicated and sorted according to time, and the three pieces of table information are associated and fused according to the client id to obtain the client basic information containing the client id, the client name, the client label and other contents at the latest time.

S3: and acquiring meeting information in the enterprise-level instant messaging application, and associating the meeting information to the employee basic information and the client basic information.

In a specific implementation, all conference data sources are aggregated by taking personnel (staff or clients) as a dimension, and optionally, conference data sources in enterprise WeChat include but are not limited to mail conferences, enterprise WeChat video conferences, enterprise WeChat voice conferences and conference invitations. Firstly, a session content table, a session invitation information table and an audio archiving information table are converted and cleaned, a session id of the session content table is associated with the session invitation information table and the audio archiving information, and aggregation processing is carried out to obtain an enterprise wechat video conference, an enterprise wechat voice conference and conference invitation details. And the personnel id is associated with the client basic information table and the staff basic information table. Optionally, the person id may be associated with a calendar table, and the details of the person meeting are gathered, and optionally, the calendar table may be an office365 calendar table.

S4: and acquiring the cooperation detail data of the employee in the enterprise-level instant messaging application according to the employee basic information and the client basic information which are associated with the conference information and the communication record in the enterprise-level instant messaging application.

Optionally, fig. 2 is a flowchart illustrating a sub-step of step S4 in fig. 1, please refer to fig. 2:

s41: and acquiring group communication records in the communication records, acquiring the employee basic information and the client basic information participating in the group communication, and aggregating and counting the group communication records, the employee basic information and the client basic information to acquire one-to-many first collaboration detail data.

In a specific implementation, the first collaboration detail data in this step is a person group collaboration detail data, that is, the one-to-many collaboration detail data is obtained by counting collaboration details of each group (including group chat and meeting) with collaboration property in the enterprise WeChat by using a person as a dimension for a time period, and optionally, the time period is 30 minutes. In specific implementation, a session content table with screened enterprise WeChat group chat properties is associated with internal group information and external group information according to a group id to further count group chat collaboration details, and then a personnel conference detail is associated according to the personnel id, and an aggregated result is the personnel group collaboration detail.

S42: and acquiring one-to-one communication record in the communication records, acquiring the employee basic information in the one-to-one communication, and counting and calculating second cooperation detail data according to the one-to-one communication record and the employee basic information.

In specific implementation, the second collaboration detail data in this step is human collaboration detail data, that is, one-to-one collaboration detail data, and the session content table, the mail information table, and the chat file table are acquired according to the data source ods, optionally, the data may be data up to the current day, the data is converted and cleaned, session id association of the session content table is performed, and the human is used as a dimension, chat, mail, and meeting information is summarized and calculated according to a time period, so that human collaboration details are acquired, optionally, the time period may be 30 minutes.

S43: acquiring team information including the upper-lower level relation of the staff according to the staff basic information, aggregating the first cooperation detail data and the second cooperation detail data according to the staff basic information, then associating the aggregated first cooperation detail data and the aggregated second cooperation detail data with the team information, and counting team cooperation detail data with the team as a dimension.

In the specific implementation, the personnel group cooperation details and the personnel cooperation details are collected, and are associated with the personnel id in the team member, so that statistics is respectively carried out according to the cooperation type and the cooperation period. And further acquiring a cooperation index with the dimension of the team, and optionally counting according to the day.

It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.

The embodiment of the application provides a collaborative statistical system in communication application, which is suitable for the collaborative statistical method in communication application. As used below, the terms "unit," "module," and the like may implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.

Fig. 3 is a block diagram of a collaborative statistics system in a communication application according to the present invention, please refer to fig. 3, which includes:

Staff information acquisition module 1: gathering and de-duplicating employee information and organization information in an enterprise-level instant messaging application to obtain basic employee information.

The client information acquisition module 2: and acquiring external contact person information in the enterprise instant messaging application, and acquiring basic information of a client according to the external contact person information and the relationship between the external contact person and the staff.

The meeting detail calculating module 3: and acquiring meeting information in the enterprise-level instant messaging application, and associating the meeting information to the employee basic information and the client basic information.

The cooperation detail calculating module 4: and acquiring the cooperation detail data of the employee in the enterprise-level instant messaging application according to the employee basic information and the client basic information which are associated with the conference information and the communication record in the enterprise-level instant messaging application.

Optionally, the cooperation detail calculating module 4 further includes:

the first cooperation statistical unit 41: and acquiring group communication records in the communication records, acquiring the employee basic information and the client basic information participating in the group communication, and aggregating and counting the group communication records, the employee basic information and the client basic information to acquire one-to-many first collaboration detail data.

In a specific implementation, the first collaboration detail data of the unit is a person group collaboration detail data, that is, one-to-many collaboration detail data, which is obtained by counting collaboration details of each group (including group chat and meeting) with collaboration property in enterprise WeChat by using persons as dimensions, and optionally, the time period is 30 minutes. In specific implementation, a session content table with screened enterprise WeChat group chat properties is associated with internal group information and external group information according to a group id to further count group chat collaboration details, and then a personnel conference detail is associated according to the personnel id, and an aggregated result is the personnel group collaboration detail.

Second cooperation statistical unit 42: and acquiring one-to-one communication record in the communication records, acquiring the employee basic information in the one-to-one communication, and counting and calculating second cooperation detail data according to the one-to-one communication record and the employee basic information.

In specific implementation, the second collaboration detail data of the unit is person collaboration detail data, that is, one-to-one collaboration detail data, and the session content table, the mail information table, and the chat file table are acquired according to the data source ods, optionally, the data may be data up to the current day, the data is converted and cleaned, session id association of the session content table is performed, and people are used as dimensions, chat, mail, and meeting information are summarized and calculated according to a time period, so that personnel collaboration details are obtained, optionally, the time period may be 30 minutes.

Second cooperation statistical unit 43: acquiring team information including the upper-lower level relation of the staff according to the staff basic information, aggregating the first cooperation detail data and the second cooperation detail data according to the staff basic information, then associating the aggregated first cooperation detail data and the aggregated second cooperation detail data with the team information, and counting team cooperation detail data with the team as a dimension.

In addition, the collaborative statistics method in a communication application described in conjunction with fig. 1 may be implemented by an electronic device. Fig. 4 is a block diagram of an electronic device of the present invention.

The electronic device may comprise a processor 61 and a memory 62 in which computer program instructions are stored.

Specifically, the processor 61 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 62 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 62 may include a Hard Disk Drive (Hard Disk Drive, abbreviated HDD), a floppy Disk Drive, a Solid State Drive (SSD), flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 62 may include removable or non-removable (or fixed) media, where appropriate. The memory 62 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 62 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, Memory 62 includes Read-Only Memory (ROM) and Random Access Memory (RAM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), Electrically rewritable ROM (EAROM), or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), where the DRAM may be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended data output Dynamic Random-Access Memory (EDODRAM), a Synchronous Dynamic Random-Access Memory (SDRAM), and the like.

The memory 62 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 61.

The processor 61 reads and executes the computer program instructions stored in the memory 62 to implement the cooperative statistical method in any of the communication applications in the above embodiments.

In some of these embodiments, the electronic device may also include a communication interface 63 and a bus 60. As shown in fig. 4, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 to complete communication therebetween.

The communication port 63 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.

The bus 60 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 60 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 60 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 60 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.

The electronic device may execute a collaborative statistics method in a communication application in the embodiment of the present application.

In addition, in combination with the collaborative statistics method in communication application in the foregoing embodiments, the embodiments of the present application may provide a computer-readable storage medium to implement the collaborative statistics method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a collaborative statistics method in any of the above-described embodiments of a communication application.

And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A collaborative statistical method in communication applications, comprising:

acquiring employee information, namely acquiring basic employee information after gathering and de-duplicating employee information and organization information in enterprise-level instant messaging application;

a step of obtaining client information, which is to obtain external contact information in the enterprise instant messaging application and obtain basic client information according to the external contact information and the relationship between the external contact and the staff;

a conference detail calculation step, namely acquiring conference information in the enterprise-level instant messaging application and associating the conference information to the employee basic information and the client basic information;

and a collaboration detail calculating step, namely acquiring collaboration detail data of the employee in the enterprise-level instant messaging application according to the employee basic information and the client basic information which are associated with the conference information and according to the communication record in the enterprise-level instant messaging application.

2. The collaboration statistics method in messaging applications as claimed in claim 1, wherein the collaboration detail calculating step further comprises:

and a first cooperation statistics step, namely acquiring group communication records in the communication records, acquiring the staff basic information and the client basic information participating in the group communication, and performing aggregation statistics on the group communication records, the staff basic information and the client basic information to acquire one-to-many first cooperation detail data.

3. The collaboration statistics method in messaging applications as claimed in claim 2, wherein the collaboration detail calculating step further comprises:

and a second cooperation counting step, namely acquiring one-to-one communication record in the communication records, acquiring the employee basic information in the one-to-one communication, and counting and calculating second cooperation detail data according to the one-to-one communication record and the employee basic information.

4. The collaboration statistics method in messaging applications as claimed in claim 3, wherein the collaboration detail calculating step further comprises:

and a collaboration detail aggregation step, namely acquiring team information including the superior-subordinate relationship of the staff according to the staff basic information, aggregating the first collaboration detail data and the second collaboration detail data according to the staff basic information, then associating the aggregated first collaboration detail data and the aggregated second collaboration detail data with the team information, and counting team collaboration detail data with the team as a dimensionality.

5. A collaborative statistics system in a communication application, comprising:

the employee information acquisition module is used for acquiring basic employee information after gathering and de-duplicating employee information and organization information in enterprise-level instant messaging application;

the client information acquisition module is used for acquiring external contact person information in the enterprise instant messaging application and acquiring basic client information according to the external contact person information and the relationship between the external contact person and the staff;

the conference detail calculation module is used for acquiring conference information in the enterprise-level instant messaging application and associating the conference information to the employee basic information and the client basic information;

and the cooperation detail calculating module is used for acquiring cooperation detail data of the staff in the enterprise-level instant messaging application according to the staff basic information and the client basic information which are associated with the meeting information and the communication record in the enterprise-level instant messaging application.

6. The collaboration statistics system in a messaging application as claimed in claim 5, wherein the collaboration detail calculation module further comprises:

and the first collaboration statistical unit is used for acquiring group communication records in the communication records, acquiring the staff basic information and the client basic information participating in the group communication, and aggregating and counting the group communication records, the staff basic information and the client basic information to acquire one-to-many first collaboration detail data.

7. The collaboration statistics system in a messaging application as claimed in claim 6, wherein the collaboration detail calculation module further comprises:

and the second cooperation statistical unit is used for acquiring one-to-one communication record in the communication records, acquiring the staff basic information in the one-to-one communication, and calculating second cooperation detail data according to the one-to-one communication record and the staff basic information.

8. The collaboration statistics system in a messaging application as claimed in claim 7, wherein the collaboration detail calculation module further comprises:

the cooperation detail aggregation unit is used for acquiring team information including the upper-lower level relation of the staff according to the staff basic information, aggregating the first cooperation detail data and the second cooperation detail data according to the staff basic information, then associating the aggregated first cooperation detail data and the aggregated second cooperation detail data with the team information, and counting team cooperation detail data with the team as a dimensionality.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the collaborative statistical method in a communication application according to any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for collaborative statistics in a communication application according to any one of claims 1 to 4.