Digital service interaction method and system

Abstract

The invention discloses a digital service interaction method and system, and the method comprises the steps: constructing a data queue, and constructing a data storage unit according to the number of interaction departments; constructing a department code for an interaction department, and inputting and / or extracting data to which the department belongs into the data queue based on the department code; and based on the work contents of the interaction departments, scoring the data to which the interaction departments belong so as to sort the interaction departments. According to the method, the data queue is constructed, after the level bits and the data storage bits in the department codes are matched with the level codes and the serial numbers in the data queue, the data transmission channel is constructed, so that one data storage unit correspondingly stores data of one interaction department, and independence is guaranteed; in addition, by creating an administrator account, determining the index dimension of the region to which the interaction department belongs through department codes, and dynamically adjusting the weights of different indexes in the business data of the region to which the interaction department belongs, the business environment of the region to which the interaction department belongs is adapted, so as to ensure the reliability of ordering of the interaction department.

Description

Technical Field

[0001] This invention relates to the field of big data digitization technology, specifically to a digital business interaction method and system. Background Technology

[0002] In the context of digital transformation, digital business interaction methods help enterprises achieve efficient and accurate connections with customers, partners, and internal teams by integrating technical tools, data-driven strategies, and user experience design.

[0003] Currently, the methods for multi-departmental data verification, reporting, and management are still in a transitional phase from traditional models to digital transformation. This involves both traditional methods relying on manual collaboration and the application of partial digital tools. In current digital business interaction scenarios, each department enters data through self-built or purchased vertical systems, or independently collects data using paper forms. After manual aggregation, the data is exported to Excel and then transmitted to other departments via communication tools, or paper forms are directly transmitted for final unified aggregation.

[0004] However, vertical systems have poor cross-platform compatibility and cannot quickly and effectively integrate data from various departments; paper forms have slow data integration and transmission efficiency and cannot achieve digital business interaction functions. Summary of the Invention

[0005] Based on this, the purpose of this invention is to provide a digital business interaction method and system, which aims to solve the problems of poor cross-platform compatibility of current vertical systems, the inability to quickly and effectively integrate data from various departments, and the slow data integration and transmission efficiency of paper forms, which cannot achieve digital business interaction functions.

[0006] To achieve the above objectives, this invention proposes a digital business interaction method for a digital business interaction platform, the digital business interaction method comprising:

[0007] Construct a data queue and build data storage units based on the number of interacting departments;

[0008] A department code is constructed for the interactive department, and based on the department code, data belonging to the department is input into and / or extracted from the data queue;

[0009] Based on the work content of the interaction department, the relevant data is scored to rank the interaction departments.

[0010] According to one aspect of the above technical solution, the step of constructing a data queue and building a data storage unit based on the number of interacting departments includes:

[0011] A data queue is constructed and the data queue is layered to obtain several data holding layers, and the several data holding layers are set with different levels along a preset direction;

[0012] The data containment layer is coded according to its level.

[0013] Each data storage layer includes several data storage units. The data storage units are sorted according to a preset rule to assign a sequence number to each data storage unit. Each data storage unit is used to store the business data of the corresponding interactive department of the current data storage layer level.

[0014] According to one aspect of the above technical solution, the step of constructing a department code for the interactive department, and inputting and / or retrieving departmental data into the data queue based on the department code includes:

[0015] Each interactive department logs into the digital business interaction platform using its department code, extracts the level bit and data storage bit of the department code, and matches the level bit with the level code in the data queue and the data storage bit with the sequence number, respectively, to match the data storage layer and data storage unit for the interactive department.

[0016] According to one aspect of the above technical solution, the steps following matching the data storage layer and the data storage unit include:

[0017] Establish a transmission channel between the interactive department and the data storage unit, and fill the data storage unit with business data in batches according to the template fields of the data storage unit;

[0018] The business data is subjected to multi-dimensional verification and a visual verification report is generated. Based on the results of the verification report, the business data is adjusted.

[0019] According to one aspect of the above technical solution, the step of performing multi-dimensional verification on the business data includes at least:

[0020] Based on the current department code and user permissions, filter out data from the business data that is not from the department in this interaction.

[0021] Verify the matching degree between the data level of business data and the level coding of the data containing layer, and generate a matching report;

[0022] Based on the preset threshold of the data queue, compare whether the difference between the directly sourced data in the business data and the existing data exceeds the preset threshold, and compare whether there are duplicate records in the offline data of the business data in the current data level.

[0023] According to one aspect of the above technical solution, the step of scoring the relevant data based on the work content of the interaction department to rank the interaction departments includes:

[0024] Create an administrator account. This administrator account is based on the department code of the interaction department to determine the region to which the interaction department belongs. The work content of the current interaction department is categorized according to its region, and the weights of the indicator dimensions are determined based on this work content.

[0025]

[0026] Among them, W (k) Let k be the weight vector, k be the level code of the data storage layer, n be the total number of indicators, and i be the index of the indicator. The weight of the i-th indicator when the level encoding of the data containment layer is k;

[0027] Based on the calculated weights of the indicator dimensions, the overall score of the business data of the interaction department is calculated and sorted.

[0028] This invention also proposes a digital business interaction system, characterized in that the digital business interaction system is used to implement the above-mentioned digital business interaction method, and the system includes:

[0029] The building module is used to construct data queues and build data storage units based on the number of interacting departments;

[0030] The transmission module is used to construct a department code for the interactive department, and input and / or extract departmental data into the data queue based on the department code;

[0031] The scoring module is used to score the data based on the work content of the interactive departments, so as to rank the interactive departments.

[0032] The present invention also proposes a computer-readable storage medium storing a computer program thereon, characterized in that the program, when executed by a processor, implements the digital business interaction method as described above.

[0033] The present invention also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that the processor executes the computer program to implement the digital business interaction method as described above.

[0034] In summary, the digital business interaction method proposed by this invention constructs a data queue and data storage units based on the number of interacting departments. Department codes are assigned to each interacting department, and departmental data is input into and / or extracted from the data queue based on these codes. The data is then scored based on the work content of each interacting department to rank them. This invention constructs a data queue, matching the level bits and data storage bits in the department codes with the level codes and sequence numbers in the data queue to build a data transmission channel. This ensures that one data storage unit stores data for one interacting department, guaranteeing independence. Furthermore, by creating an administrator account, the indicator dimensions of the region to which the interacting department belongs are determined through the department codes, and the weights of different indicators in the business data of that region are dynamically adjusted to adapt to the business environment of that region, ensuring the reliability of the ranking of interacting departments. This method uses a unified platform, taking into account the business data of interacting departments in different regions, standardizing the multi-department data management process, reducing the data confirmation costs between the enterprise management department and business departments, and achieving unified scoring.

[0035] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0036] Figure 1 This is a flowchart of the digital business interaction method in Embodiment 1 of the present invention;

[0037] Figure 2 This is a schematic diagram of the structure of the digital business interaction system in Embodiment 2 of the present invention;

[0038] Figure 3 This is a structural block diagram of the electronic device in Embodiment 4 of the present invention. Detailed Implementation

[0039] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0040] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0042] Example 1

[0043] like Figure 1 The diagram shows a flowchart of a digital business interaction method according to Embodiment 1 of the present invention. The digital business interaction method includes the following steps S01-S03, wherein:

[0044] S01. Construct a data queue and build data storage units based on the number of interacting departments.

[0045] A data queue is constructed and layered to obtain several data storage layers. These layers are assigned different levels along a preset direction to correspond to different levels, such as provincial, municipal, and county levels. It is important to note that the data storage layer corresponding to the provincial level is of a higher level, while the data storage layer corresponding to the municipal level is of a slightly lower level. Based on the levels of the data storage layers, a level coding system is implemented for each layer.

[0046] Furthermore, a data storage layer includes several data storage units. These data storage units are sorted according to a preset rule to assign them a sequence number. Each data storage unit is used to store the business data of the corresponding interactive department at the current data storage layer level. It should be noted that the preset rule can be based on alphabetical order or size, etc., within the same level.

[0047] S02. Construct a department code for the interactive department, and input and / or extract department data into the data queue based on the department code.

[0048] Each interactive department logs into the digital business interaction platform using its department code, extracts the level bit and data storage bit of the department code, and matches the level bit with the level code in the data queue and the data storage bit with the sequence number, respectively, to match the data storage layer and data storage unit for the interactive department.

[0049] If a match is successful, a transmission channel is established between the interactive department and the data storage unit. Based on the template fields of the data storage unit, business data is batch-populated into the data storage unit. Furthermore, a template for importing data from the digital business interaction platform is downloaded, and required and optional fields are retrieved according to business data requirements. Business data is then populated according to the data validation rules embedded in the import template.

[0050] In this embodiment, during the process of populating business data, batch insertion technology (such as MyBatis' insertBatch and JDBC's addBatch) is used, and no more than 1,000 records are processed at a time (to avoid memory overflow); for special indicator data, the indicator description association process is automatically triggered (the content of the "indicator description" field is written into an independent description table and associated with the master data through foreign keys).

[0051] According to one aspect of the aforementioned technical solution, for special indicator data, a special indicator library is established, and methods such as fixed attribute recognition, dynamic condition recognition, and business scenario association are set up to identify special indicator data in business data. Fixed attribute recognition directly associates with indicator codes; dynamic condition recognition is triggered by data value rules. For example, if the fluctuation of the value of a certain business data item exceeds ±20% of the average value of the current business data item in the region, then the current business data item is identified as special indicator data; business scenario association is configured according to the interacting department and / or business line. For example, the marketing department's 'channel expansion cost' indicator requires mandatory explanation, and the finance department's 'abnormal transaction data' requires uploading attachments. All of the above indicator explanations need to be written into a separate explanation table to explain the special indicator data.

[0052] After the business data is entered, it is examined from multiple dimensions, and a visual examination report is generated. Based on the results of the examination report, the business data is adjusted.

[0053] First, permission verification is performed, matching user permissions based on the current department code, and filtering out data from departments other than the one currently interacting with the business data. Second, data hierarchy verification is performed, checking the matching degree between the data hierarchy of the business data and the level code of the data containment layer, highlighting erroneous data, and generating a matching report. Finally, data conflict verification is performed, comparing the difference between the directly sourced data in the business data and the existing data according to the preset threshold of the data queue to see if it exceeds the preset threshold, and comparing whether there are duplicate records in the offline data of the business data in the current data hierarchy.

[0054] Based on the multi-dimensional verification results, a visual verification report is generated, showing the distribution of error types (such as "3 format errors, 2 permission mismatches"). It supports exporting templates with error markers (error rows are marked with specific reasons, such as "the data level 'urban area' in the 5th row is invalid, it should be 'city center'"). Users can correct the errors and re-upload the data, and the system will automatically skip records that have been successfully verified.

[0055] The interaction department makes modifications based on the visual verification report, while the digital business interaction platform conducts a second verification of the modified business data.

[0056] S03. Based on the work content of the interaction department, score the data to rank the interaction departments.

[0057] Create an administrator account. The administrator account is based on the department code of the interaction department to determine the region to which the interaction department belongs. The work content of the current interaction department is categorized according to the region, and the weight of the indicator dimensions is determined based on the work content.

[0058]

[0059] Among them, W (k) Let k be the weight vector, k be the level code of the data storage layer, n be the total number of indicators, and i be the index of the indicator. The weight of the i-th indicator when the level encoding of the data containment layer is k;

[0060] Based on the calculated weights of the indicator dimensions, the overall score of the business data of the interaction department is calculated and sorted.

[0061] It's worth noting that administrator accounts can view business data across all metrics, switch between viewing overall scores and rankings for all metrics, and dynamically adjust the calculation rules for each region based on the business situation of each interaction department and the weight of each metric, ensuring the reliability of the scores. Interaction departments, however, can only view and modify the business data within their current data layer, as well as their own department's scores and rankings.

[0062] In summary, the digital business interaction method proposed by this invention constructs a data queue and data storage units based on the number of interacting departments. Department codes are assigned to each interacting department, and departmental data is input into and / or extracted from the data queue based on these codes. The data is then scored based on the work content of each interacting department to rank them. This invention constructs a data queue, matching the level bits and data storage bits in the department codes with the level codes and sequence numbers in the data queue to build a data transmission channel. This ensures that one data storage unit stores data for one interacting department, guaranteeing independence. Furthermore, by creating an administrator account, the indicator dimensions of the region to which the interacting department belongs are determined through the department codes, and the weights of different indicators in the business data of that region are dynamically adjusted to adapt to the business environment of that region, ensuring the reliability of the ranking of interacting departments. This method uses a unified platform, taking into account the business data of interacting departments in different regions, standardizing the multi-department data management process, reducing the data confirmation costs between the enterprise management department and business departments, and achieving unified scoring.

[0063] Example 2

[0064] In another aspect, this invention also provides a digital business interaction system, please refer to [link / reference needed]. Figure 2 The diagram shown is a structural schematic of the digital business interaction system in Embodiment 2 of the present invention. The digital business interaction system includes:

[0065] Module 11 is used to build a data queue and construct data storage units based on the number of interacting departments.

[0066] Transmission module 12 is used to construct a department code for the interactive department, and input and / or extract department data into the data queue based on the department code;

[0067] The scoring module 13 is used to score the data based on the work content of the interactive departments in order to rank the interactive departments.

[0068] A data queue is constructed and layered to obtain several data storage layers. These layers are assigned different levels along a preset direction to correspond to different levels, such as provincial, municipal, and county levels. It is important to note that the data storage layer corresponding to the provincial level is of a higher level, while the data storage layer corresponding to the municipal level is of a slightly lower level. Based on the levels of the data storage layers, a level coding system is implemented for each layer.

[0069] Furthermore, a data storage layer includes several data storage units. These data storage units are sorted according to a preset rule to assign them a sequence number. Each data storage unit is used to store the business data of the corresponding interactive department at the current data storage layer level. It should be noted that the preset rule can be based on alphabetical order or size, etc., within the same level.

[0070] Each interactive department logs into the digital business interaction platform using its department code, extracts the level bit and data storage bit of the department code, and matches the level bit with the level code in the data queue and the data storage bit with the sequence number, respectively, to match the data storage layer and data storage unit for the interactive department.

[0071] If a match is successful, a transmission channel is established between the interactive department and the data storage unit. Based on the template fields of the data storage unit, business data is batch-populated into the data storage unit. Furthermore, a template for importing data from the digital business interaction platform is downloaded, and required and optional fields are retrieved according to business data requirements. Business data is then populated according to the data validation rules embedded in the import template.

[0072] In this embodiment, during the process of populating business data, batch insertion technology (such as MyBatis' insertBatch and JDBC's addBatch) is used, and no more than 1,000 records are processed at a time (to avoid memory overflow); for special indicator data, the indicator description association process is automatically triggered (the content of the "indicator description" field is written into an independent description table and associated with the master data through foreign keys).

[0073] According to one aspect of the aforementioned technical solution, for special indicator data, a special indicator library is established, and methods such as fixed attribute recognition, dynamic condition recognition, and business scenario association are set up to identify special indicator data in business data. Fixed attribute recognition directly associates with indicator codes; dynamic condition recognition is triggered by data value rules. For example, if the fluctuation of the value of a certain business data item exceeds ±20% of the average value of the current business data item in the region, then the current business data item is identified as special indicator data; business scenario association is configured according to the interacting department and / or business line. For example, the marketing department's 'channel expansion cost' indicator requires mandatory explanation, and the finance department's 'abnormal transaction data' requires uploading attachments. All of the above indicator explanations need to be written into a separate explanation table to explain the special indicator data.

[0074] After the business data is entered, it is examined from multiple dimensions, and a visual examination report is generated. Based on the results of the examination report, the business data is adjusted.

[0075] First, permission verification is performed, matching user permissions based on the current department code, and filtering out data from departments other than the one currently interacting with the business data. Second, data hierarchy verification is performed, checking the matching degree between the data hierarchy of the business data and the level code of the data containment layer, highlighting erroneous data, and generating a matching report. Finally, data conflict verification is performed, comparing the difference between the directly sourced data in the business data and the existing data according to the preset threshold of the data queue to see if it exceeds the preset threshold, and comparing whether there are duplicate records in the offline data of the business data in the current data hierarchy.

[0076] Based on the multi-dimensional verification results, a visual verification report is generated, showing the distribution of error types (such as "3 format errors, 2 permission mismatches"). It supports exporting templates with error markers (error rows are marked with specific reasons, such as "the data level 'urban area' in the 5th row is invalid, it should be 'city center'"). Users can correct the errors and re-upload the data, and the system will automatically skip records that have been successfully verified.

[0077] The interaction department makes modifications based on the visual verification report, while the digital business interaction platform conducts a second verification of the modified business data.

[0078] Create an administrator account. The administrator account is based on the department code of the interaction department to determine the region to which the interaction department belongs. The work content of the current interaction department is categorized according to the region, and the weight of the indicator dimensions is determined based on the work content.

[0079]

[0080] Among them, W (k) Let k be the weight vector, k be the level code of the data storage layer, n be the total number of indicators, and i be the index of the indicator. The weight of the i-th indicator when the level encoding of the data containment layer is k;

[0081] Based on the calculated weights of the indicator dimensions, the overall score of the business data of the interaction department is calculated and sorted.

[0082] It's worth noting that administrator accounts can view business data across all metrics, switch between viewing overall scores and rankings for all metrics, and dynamically adjust the calculation rules for each region based on the business situation of each interaction department and the weight of each metric, ensuring the reliability of the scores. Interaction departments, however, can only view and modify the business data within their current data layer, as well as their own department's scores and rankings.

[0083] In summary, the digital business interaction system proposed by this invention constructs a data queue and data storage units based on the number of interacting departments. Department codes are assigned to each interacting department, and departmental data is input into and / or extracted from the data queue based on these codes. The data is then scored based on the work content of each interacting department to rank them. This invention constructs a data queue, matching the level bits in the department codes with the data storage bits, and then matching the level codes and sequence numbers in the data queue to build a data transmission channel. This ensures that one data storage unit stores the data of one interacting department, guaranteeing independence. Furthermore, by creating administrator accounts, the system determines the indicator dimensions of the region to which the interacting department belongs through the department codes and dynamically adjusts the weights of different indicators in the business data of that region to adapt to the business environment of that region, ensuring the reliability of the ranking of interacting departments. This method uses a unified platform, taking into account the business data of interacting departments in different regions, standardizing the multi-department data management process, reducing the data confirmation costs between the enterprise management department and business departments, and achieving unified scoring.

[0084] Example 3

[0085] In another aspect, the present invention also proposes a computer-readable storage medium having stored thereon one or more computer programs that, when executed by a processor, implement the aforementioned digital business interaction method.

[0086] Those skilled in the art will understand that the logic or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable storage medium" can mean any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0087] More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable storage media can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0088] Example 4

[0089] Figure 3 This is a structural block diagram of an electronic device provided in Embodiment 4. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the digital business interaction method in the above embodiments. Figure 3 The electronic device 30 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0090] like Figure 3 As shown, the electronic device 30 can be manifested as a general-purpose computing device, such as a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including memory 32 and processor 31).

[0091] Bus 33 includes a data bus, an address bus, and a control bus.

[0092] The memory 32 may include volatile memory, such as RAM 321 (random access memory), and / or cache memory 322, and may further include ROM 323 (read-only memory).

[0093] The memory 32 may also include a program tool 325 having a set (at least one) of program modules 324, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0094] The processor 31 executes various functional applications and data processing by running computer programs stored in the memory 32, such as the digital business interaction method of the present invention as described above.

[0095] Electronic device 30 can also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). This communication can be performed via I / O interface 35 (input / output interface). Furthermore, the model-generated electronic device 30 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 36. Figure 3 As shown, network adapter 36 communicates with other modules of the model-generated electronic device 30 via bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the model-generated electronic device 30, including but not limited to: microcode, device drivers, redundant processors, disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0096] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0097] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0098] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A digital business interaction method for a digital business interaction platform, characterized in that, The digital business interaction method includes: Construct a data queue and build data storage units based on the number of interacting departments; A department code is constructed for the interactive department, and based on the department code, data belonging to the department is input into and / or extracted from the data queue; Based on the work content of the interaction department, the relevant data is scored to rank the interaction departments.

2. The digital business interaction method according to claim 1, characterized in that, The steps of constructing the data queue and building data storage units based on the number of interacting departments include: A data queue is constructed and the data queue is layered to obtain several data holding layers, and the several data holding layers are set with different levels along a preset direction; The data containment layer is coded according to its level. Each data storage layer includes several data storage units. The data storage units are sorted according to a preset rule to assign a sequence number to each data storage unit. Each data storage unit is used to store the business data of the corresponding interactive department of the current data storage layer level.

3. The digital business interaction method according to claim 1, characterized in that, The step of constructing a department code for the interactive department, and inputting and / or retrieving departmental data into the data queue based on the department code includes: Each interactive department logs into the digital business interaction platform using its department code, extracts the level bit and data storage bit of the department code, and matches the level bit with the level code in the data queue and the data storage bit with the sequence number, respectively, to match the data storage layer and data storage unit for the interactive department.

4. The digital business interaction method according to claim 3, characterized in that, The steps following matching the data containment layer and data storage unit include: Establish a transmission channel between the interactive department and the data storage unit, and fill the data storage unit with business data in batches according to the template fields of the data storage unit; The business data is subjected to multi-dimensional verification and a visual verification report is generated. Based on the results of the verification report, the business data is adjusted.

5. The digital business interaction method according to claim 4, characterized in that, The steps for performing multi-dimensional verification on the business data include at least the following: Based on the current department code and user permissions, filter out data from the business data that is not from the department in this interaction. Verify the matching degree between the data level of business data and the level coding of the data containing layer, and generate a matching report; Based on the preset threshold of the data queue, compare whether the difference between the directly sourced data in the business data and the existing data exceeds the preset threshold, and compare whether there are duplicate records in the offline data of the business data in the current data level.

6. The digital business interaction method according to claim 1, characterized in that, The step of scoring the relevant data based on the work content of the interaction departments to rank them includes: Create an administrator account. This administrator account is based on the department code of the interaction department to determine the region to which the interaction department belongs. The work content of the current interaction department is categorized according to its region, and the weights of the indicator dimensions are determined based on this work content. Among them, W (k) Let k be the weight vector, k be the level code of the data storage layer, n be the total number of indicators, and i be the index of the indicator. The weight of the i-th indicator when the level encoding of the data containment layer is k; Based on the calculated weights of the indicator dimensions, the overall score of the business data of the interaction department is calculated and sorted.

7. A digital business interaction system, characterized in that, The digital business interaction system is used to implement the digital business interaction method according to any one of claims 1-6, the system comprising: The building module is used to construct data queues and build data storage units based on the number of interacting departments; The transmission module is used to construct a department code for the interactive department, and input and / or extract departmental data into the data queue based on the department code; The scoring module is used to score the data based on the work content of the interactive departments, so as to rank the interactive departments.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the digital business interaction method as described in any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes a computer program, it implements the digital business interaction method as described in any one of claims 1-6.

Images