CN112396429B - Statistical analysis system for enterprise business - Google Patents
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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Abstract
The application provides a statistical analysis system for enterprise business operation, corresponding business statistics primary modules are set for different business statistics main bodies, and business statistics secondary modules are further divided in the business statistics primary modules so as to be hung on corresponding data acquisition templates. Wherein, different data acquisition templates are associated with the business processing end of the business plate needing to be filled with the data acquisition templates, when the business data corresponding to the data acquisition templates are acquired, the data acquisition templates can be only sent to the associated business processing end, and the information interference to the business processing end is reduced by combining the business plate attribute of the business processing end. In addition, after the collection of the corresponding service data is completed, the data acquisition template can be only sent to the corresponding newly added service processing end, so that the information interference to other service processing ends is further reduced.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a statistical analysis system for business operations of an enterprise.
Background
With the development of computer devices, it is becoming more common to use data processing technology for business statistics. For a service management end with a plurality of different service plates, the service management end needs to manage a service processing end of each service plate, and the corresponding service statistics has a wide range.
At present, a service management end is provided with a plurality of different statistical bodies, and when corresponding service statistics is carried out on each statistical body, the service processing end of a service plate from which service data is required is different. Illustratively, the business data of corresponding business statistics performed by the human resource statistics main body of a certain organization is derived from the business processing ends of the business plate A and the business plate B, and the business data of corresponding business statistics performed by the financial statistics main body of the organization is derived from the business processing ends of the business plate A and the business plate C.
However, in the conventional service statistics processing process, the difference of each service statistics main body is generally not distinguished, no matter which service processing end of the service plate receives the related data collection table, for example, even if the service processing end of the service plate C is not required by the human resource statistics main body in service statistics, the service processing end of the service plate C receives the data collection table of the human resource statistics main body.
Therefore, the conventional service statistics processing method is difficult to embody the service plate attribute of the service processing end, and has the problem of information interference for the service processing end.
Disclosure of Invention
Accordingly, it is necessary to provide a statistical analysis method and system for enterprise business operations aiming at the above technical problems.
The business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included by the different business statistics primary modules are different, each business statistics secondary module is used for hanging corresponding data acquisition templates, any data acquisition template is associated with each business processing end under a corresponding business plate, wherein the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by the any data acquisition template through the any data acquisition template, and the business data are needed by the business statistics primary module corresponding to the hung business statistics secondary module for business statistics;
the method comprises the following steps:
taking a business statistics secondary module included in a business statistics primary module to be subjected to business statistics as a target business statistics secondary module, and taking a business processing end under a business plate which is related to a data acquisition template which is hung on the target business statistics secondary module as a target business processing end;
At a first preset moment, a data acquisition template hung on the target service statistics secondary module is sent to the target service processing end, so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
judging whether a new service processing end exists under each service plate corresponding to a data acquisition template of the target service statistics secondary module between the first preset time and the second preset time at a second preset time after the first preset time;
if yes, only transmitting the data acquisition template hung on the target service statistics secondary module to the newly added service processing end, so that the newly added service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
and carrying out service statistics aiming at the service statistics first-level module of the service statistics to be carried out based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
The business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included by the different business statistics primary modules are different, each business statistics secondary module is used for hanging corresponding data acquisition templates, any data acquisition template is associated with each business processing end under a corresponding business plate, wherein the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by the any data acquisition template through the any data acquisition template, and the business data are needed by the business statistics primary module corresponding to the hung business statistics secondary module for business statistics;
The device comprises:
the target service processing end determining module is used for taking a service statistics secondary module included in a service statistics primary module to be subjected to service statistics as a target service statistics secondary module and taking a service processing end under a service plate which is related to a data acquisition template hung on the target service statistics secondary module as a target service processing end;
the template first sending module is used for sending the data acquisition template hung on the target service statistics secondary module to the target service processing end at a first preset moment so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
the newly added service processing end judging module is used for judging whether a newly added service processing end exists under each service plate corresponding to the data acquisition template of the target service statistics secondary module between the first preset time and the second preset time at the second preset time after the first preset time;
the template second sending module is used for sending the data acquisition template hung on the target service statistics secondary module to the newly added service processing end only if the target service statistics secondary module is on, so that the newly added service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
And the service statistics module is used for carrying out service statistics aiming at the service statistics first-stage module of the service statistics to be carried out based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
A computer device comprising a memory storing a computer program and a processor executing the method described above.
A computer readable storage medium having stored thereon a computer program for execution by a processor of the above method.
According to the statistical analysis method for the enterprise business operation business, corresponding business statistics primary modules are set for different business statistics main bodies, business statistics secondary modules are further divided in the business statistics primary modules so as to be hung on corresponding data acquisition templates, for example, corresponding primary modules are set by financial resource statistics main bodies, and 2 secondary modules are divided by the financial resource primary modules, and each secondary module is used for being hung on corresponding data acquisition templates. The data acquisition templates are associated with the service processing ends of the service boards to be filled with the data acquisition templates, for example, the service board to which the service processing end of the data acquisition template I belongs comprises a service board A and a service board B, and then the data acquisition template I is associated with the service processing end of the service board A and the service processing end of the service board B, so that when the service data corresponding to the data acquisition template I is acquired, the data acquisition template I can be only sent to the service processing end of the service board A and the service processing end of the service board B, but not to the service processing end of the service board C. Further, considering that after the collection of the service data corresponding to the data acquisition template i is completed, if a newly added service processing end appears under the service board a, the data acquisition template i may be sent only to the newly added service processing end at this time, but not to other service processing ends under the service board a/B, so as to reduce information interference to other service processing ends. Therefore, based on the method, after the service data corresponding to the data acquisition template I by each service processing end under the service plate A/B is acquired, the service statistics process is carried out, the characteristics of the service plate of the service processing end are fully utilized, and the information interference to the service processing end is reduced.
Drawings
FIG. 1 is an application environment diagram of a statistical analysis method for enterprise business operations in one embodiment;
FIG. 2 is a flow diagram of a statistical analysis method for enterprise business operations in one embodiment;
FIG. 3 is a schematic diagram of various modules of a statistical analysis method for enterprise business operations in one embodiment;
FIG. 4 is a diagram of entity attribute associations of business support modules in one embodiment;
FIG. 5 is a flow diagram of index management in one embodiment;
FIG. 6 is a block diagram of a statistical analysis device for business operations of an enterprise in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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 skill in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.
The statistical analysis method for enterprise business provided by the application can be applied to an application environment shown in fig. 1. The business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included in the different business statistics primary modules are different, each business statistics secondary module is used for hanging corresponding data acquisition templates, any data acquisition template is associated with each business processing end under a corresponding business plate, the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by any data acquisition template through any data acquisition template, and the business data are business data required by the business statistics primary module corresponding to the hung business statistics secondary module. The service processing terminals a-1, a-2, B-1, and B-2 are each required to provide service data to the service statistics secondary module on which the data acquisition module i is suspended through the data acquisition module i, so that the service statistics primary module can perform service statistics based on the service data provided by the service processing terminals a-1, a-2, B-1, and B-2.
As shown in fig. 2, a statistical analysis method for an enterprise business is provided, and the method can be applied to a statistical analysis system for the enterprise business and executed by computer equipment of the statistical analysis system; in the process of executing the statistical analysis method for the enterprise business, the computer equipment specifically comprises the following steps:
step S201, the computer equipment takes a business statistics secondary module included in a business statistics primary module to be subjected to business statistics as a target business statistics secondary module, and takes a business processing end under a business plate associated with a data acquisition template hung on the target business statistics secondary module as a target business processing end;
step S202, at a first preset moment, the computer equipment sends a data acquisition template hung on a target service statistics secondary module to a target service processing end so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
step S203, the computer equipment judges whether a new service processing end exists under each service plate corresponding to the data acquisition template of the target service statistics secondary module between the first preset time and the second preset time at the second preset time after the first preset time;
Step S204, if yes, the computer equipment only sends the data acquisition template hung on the target service statistics secondary module to the newly added service processing end, so that the newly added service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
in step S205, the computer device performs service statistics for the service statistics primary module of the service statistics to be performed based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
The first preset time is introduced by the number 8 and the second preset time is introduced by the number 10, and after the number 8 sends the data acquisition template I to the service processing ends A-1, A-2, B-1 and B-2, the computer equipment judges whether the service processing ends are newly added under the service plate A and the service plate B between the numbers 9 and 10. If the computer equipment determines that the service processing end A-3 is newly added under the service plate A, the computer equipment can only send the data acquisition template I to the service processing end A-3. After obtaining the service data of the service processing terminals A-1, A-2, B-1, B-2 and A-3, the computer equipment performs corresponding service statistics.
In the above statistical analysis method for enterprise business, corresponding business statistics primary modules are set for different business statistics main bodies, and business statistics secondary modules are further divided in the business statistics primary modules so as to be hung on corresponding data acquisition templates, for example, a financial resource statistics main body sets a corresponding primary module, and the financial primary module is divided into 2 secondary modules, wherein each secondary module is respectively used for being hung on a corresponding data acquisition template. The data acquisition templates are associated with the service processing ends of the service boards to be filled with the data acquisition templates, for example, the service board to which the service processing end of the data acquisition template I belongs comprises a service board A and a service board B, and then the data acquisition template I is associated with the service processing end of the service board A and the service processing end of the service board B, so that when the service data corresponding to the data acquisition template I is acquired, the data acquisition template I can be only sent to the service processing end of the service board A and the service processing end of the service board B, but not to the service processing end of the service board C. Further, considering that after the collection of the service data corresponding to the data acquisition template i is completed, if a newly added service processing end appears under the service board a, the data acquisition template i may be sent only to the newly added service processing end at this time, but not to other service processing ends under the service board a/B, so as to reduce information interference to other service processing ends. Therefore, based on the method, after the service data corresponding to the data acquisition template I by each service processing end under the service plate A/B is acquired, the service statistics process is carried out, the characteristics of the service plate of the service processing end are fully utilized, and the information interference to the service processing end is reduced.
In one embodiment, when the computer device performs step S202, the following steps may be further performed: the method comprises the steps that computer equipment generates events to be handled aiming at a target service processing end based on a preset service data providing period and a data acquisition template hung on a target service statistics secondary module; the method comprises the steps that computer equipment determines equipment of data reporting personnel with service data providing permission in a target service processing end, and sends an event to be handled to the equipment of the data reporting personnel at a first preset moment, so that the equipment of the data reporting personnel reminds the corresponding data reporting personnel based on the event to be handled; the data filling personnel equipment is also used for acquiring the service data input by the data filling personnel through the data acquisition template hung on the target service statistics secondary module in the service data providing period and returning the service data.
Taking the data filling period as 3 days and sending the data acquisition template I to the service processing end A-1 as an example for introduction, if the service data of the service processing end A-1 needs to be acquired, the computer equipment determines equipment of a data filling person Bob with service data providing authority in the service processing end A-1, after generating a to-be-handled event carrying the data filling period as 3 days and the data acquisition template I, the to-be-handled event is sent to the equipment of Bob, so that Bob can know that the to-be-handled event is currently available, the data acquisition template I is downloaded in 3 days for service data filling, and the equipment of Bob sends the service data input by Bob to the computer equipment.
Therefore, in the above embodiment, the data filling personnel with the authority for providing the service data fills in the data, so that the reliability of the service data can be ensured, and the accuracy of service statistics can be further improved; and the corresponding data filling personnel are reminded to finish filling in a set period through the event to be handled, so that the service data collection efficiency can be improved, and the interference to other service processing ends can be reduced.
In one embodiment, the computer device may further perform the steps of: the method comprises the steps that computer equipment acquires data acquisition indexes set by a service manager through a preset index configuration module, gathers a plurality of data acquisition indexes, and obtains a first data acquisition template; if the service manager adds the data acquisition index through the index configuration module after obtaining the first data acquisition template, the computer equipment adds the added data acquisition index on the first data acquisition template to obtain a second data acquisition template, and the second data acquisition template is used as the data acquisition template sent to the corresponding service processing end.
In the above embodiment, the service administrator sets the corresponding data acquisition indexes through the index configuration module, and can summarize the indexes of the data acquisition indexes in a multi-selection mode, or newly add the data acquisition indexes on the configured data acquisition templates to obtain new data acquisition templates for the corresponding service processing end to fill, so as to realize flexible configuration of the data acquisition templates.
In one embodiment, when the computer device performs step S205, the following steps may be further performed: if the business auditing end does not pass the auditing of the business data of one of the business processing ends, the computer equipment triggers one of the business processing ends to provide new business data based on the received data acquisition template; one of the service processing terminals is any one of a target service processing terminal and a newly added service processing terminal; after the business auditing end passes the auditing of the new business data, the computer equipment performs business statistics of a business statistics primary module aiming at business statistics to be performed based on the new business data of one business processing end and the business data of other business processing ends; the other service processing terminals are the target service processing terminal and the service processing terminals except one of the new service processing terminals.
In the above embodiment, if the service auditing end considers that the service data provided by the service processing end is wrong, the auditing is not passed, and the service processing end is triggered to refill the data acquisition template to provide new service data; after the service auditing end determines that the new service data is correct, the computer equipment can perform service statistics according to the new service data so as to ensure the accuracy of service statistics.
Further, after the service auditing end passes the auditing of the new service data, based on the new service data of one service processing end and the service data of other service processing ends, in the process of performing service statistics of the service statistics primary module for service statistics to be performed, the computer device may further perform the following steps: after the business auditing end passes the auditing of the new business data, the computer equipment submits the new business data to a business management end for managing a business processing end under each business plate; if the business management end passes the new business data auditing, the computer equipment performs business statistics of a business statistics primary module aiming at the business statistics to be performed based on the new business data of one business processing end and the business data of other business processing ends.
The service management end is a device for managing the service processing end under each service plate, such as managing the service processing ends under the service plates A, B and C.
In the above embodiment, the service management end managing the service processing end under each service plate performs the auditing, and performs the service statistics after the auditing of the service management end passes, so that the accuracy of the service statistics can be further ensured.
Further, in order to improve the service statistics efficiency, the service management end is further configured to directly trigger one of the service processing ends to re-provide the service data based on the received data acquisition template after the new service data is not checked. If the service management end determines that the service data provided by the service processing end passes the audit, the computer equipment performs service statistics aiming at the service statistics first-level module of the service statistics to be performed based on the service data provided again and the service data of other service processing ends.
Further, the service management end is further configured to display a monthly service data chart of each service processing end through a month statistics analysis module corresponding to a monthly statistics time period, display a quarterly service data chart of each service processing end through a quarterly statistics analysis module corresponding to a quarterly statistics time period, and display a annual service data chart of each service processing end through a year statistics analysis module corresponding to a annual statistics time period.
Therefore, the service management end can check the service conditions in different time periods according to the actual statistical analysis conditions, and the service management efficiency is improved.
In order to better understand the above method, an application example of the statistical analysis method of the enterprise business is described in detail below.
The statistical analysis method for the enterprise business of the application example can be applied to business condition analysis of group enterprises, and the traditional offline collection, summary and reporting mode of the financial statement cannot meet the more scientific and refined management requirements of the group enterprises due to the characteristics of deep enterprise level, large enterprise quantity, wide industrial scope, large regional span, uneven management level and the like of the group enterprises.
The group enterprises have the following defects and disadvantages for the business statistics processing mode:
1. the management and control force is insufficient, off-line collection is adopted, and the collection and reporting are carried out, so that the management and control force cannot be specific to each base layer unit;
2. the fixed report is limited, so that the diversification of different camping business enterprises cannot be reflected, the overall situation of a group-type enterprise cannot be reflected well, and the requirement of a manager cannot be met;
3. lack of effective real-time supervision, reporting and analysis mechanisms, lack of effective integration with provincial systems.
According to the statistical analysis method for the enterprise business of the application example, a business management end corresponds to a group enterprise end, and a business processing end corresponds to a basic enterprise of the group enterprise; as shown in fig. 3, the service statistics processing system of the application example may include four components including service support, account maintenance, plate configuration, index configuration, module configuration, and template configuration, wherein the service support includes institution maintenance, account maintenance, plate configuration, index configuration, module configuration, and template configuration, the index management includes process management, index reporting, index summarization, and index list, the statistical analysis includes month/season/year analysis and comprehensive analysis, and the statistical report includes comprehensive report and business activity analysis.
According to the application example, the four components are connected in series to form a whole through the application data binding technology and the realization of dynamic interaction of the database, so that the problems that in a traditional financial statement mode, statement change difficulty is high, and different types of enterprises cannot reflect differentiation by using the same set of fixed templates are solved, and business statistics efficiency of the enterprises is improved.
In the method provided by the application example, the service support comprises mechanism maintenance, account maintenance, plate configuration, index configuration, module configuration and template configuration, the index management comprises flow management, index reporting, index summarization and index list, the statistical analysis comprises month/season/year analysis and comprehensive analysis, the statistical report comprises comprehensive report and business activity analysis, the template configured by the service support pushes to-be-handled to all organization mechanisms which accord with the same type of the configured enterprise in a manual pushing or automatic pushing mode, after the to-be-handled is pushed, the account with the authority of a service acceptors (corresponding to data fillers) in the enterprise receives to-be-handled, the service acceptors need to complete reporting and auditing processes within the reporting validity period, data are input into the system, and when the service management end needs to inquire the data reported by the current level or lower level units, the data reported by the statistical analysis and the statistical report extraction system can be displayed in a chart mode.
Further, the template configuration includes basic information and form information configuration, where the basic information includes fields: template name, association module, enterprise type, filling period, pushing form and filling effective period, and the form information configuration provides index selection and ordering functions.
Further, the comprehensive report includes screening conditions including statistics time, plate, index, type/unit, report results including header line, data line, plate switching tab, and template selection including template drop-down frame and save button.
In the application example, the business support carries out relation binding on mechanism maintenance, account maintenance, plate configuration, index configuration, module configuration and template configuration through a database external key association mode, the mechanism maintenance realizes (1) establishment of enterprises, (2) plate leaning, (3) enterprise type binding, (4) enterprise state change, the account maintenance realizes (1) association of organization (2) binding roles (3) binding mobile phone numbers, the plate configuration realizes plate adding, deleting and changing for organization leaning, the index configuration realizes (1) index tree construction, (2) index unit setting, (3) calculation formula configuration, the module configuration realizes module adding, deleting and changing for template configuration leaning, the template configuration realizes (1) and module binding (2) and enterprise type binding (3) reporting period setting (4) pushing mode configuration (5) reporting validity period setting (6) index selection. The business support finally forms a support base which can be used for reporting the mutual correlation of the organization, the account number and the template through the configuration.
In the application example, the above-mentioned index management is made up of procedure management, index report, index summarization, index list, the above-mentioned procedure management defines the index report procedure by basic level enterprise-platform unit-provincial level unit-mother company, business acceptors-business processor-business manager, the above-mentioned index report realizes (1) template download (2) report (3) on-line filling (4) data check (5) index audit, the above-mentioned index summarization realizes the index classification summarization to the higher level company function, the above-mentioned index list provides list, detail, examination and approval procedure checking function, including the following fields: report time, time type, reporting unit, form type, reporting person, reporting time, status. The index management realizes the function of reporting the index from the base layer level to the parent company through the functions.
In the present application example, the above-mentioned statistical analysis is composed of month/season/year analysis and comprehensive analysis, the above-mentioned month analysis shows month data of the present unit and its lower units in the form of a graph, the above-mentioned month data includes business income, profit amount, and asset amount, the above-mentioned quarter analysis shows quarter data of the present unit and its lower units in the form of a graph, including asset liability ratio analysis, investment completion amount trend analysis, index detail analysis, the above-mentioned asset liability ratio provides a drill-down function, and view asset liability ratio details, the above-mentioned index detail analysis includes business total income, business total cost, investment completion amount, asset amount, liability amount, net profit, profit amount, external loan commission, external guarantee, and account receivable, the annual analysis displays the annual data of the unit and the lower units thereof in the form of a chart, including a liability rate ratio analysis, an investment completion amount trend analysis, a detail analysis, wherein the liability rate ratio provides a drill-down function, and checks details of the liability rate, the index detail analysis includes business total income, business total cost, investment completion amount, asset total amount, liability total amount, net profit, profit total amount, on-demand loan, on-demand insurance and account receivable conditions, the comprehensive analysis generates a chart by inquiring screening conditions, and the screening conditions include business plate, affiliated company, enterprise type, time and index, and the chart includes plate block statistics, unit statistics, index detail and enterprise type ratio analysis and growth rate analysis.
In the application example, the statistical report includes a comprehensive report and an operation activity analysis, the comprehensive report is queried through screening conditions to generate a report, the screening conditions include statistical time, plate, index and type/unit, the index includes user-defined index, operation condition index and human resource statistical index, and the operation activity analysis displays an operation activity analysis condition report of the current quarter unit, including enterprise operation profile, operation index completion condition, index detail analysis and plate analysis.
When the application example specifically collects service data, the corresponding flow may include: the business support pushes to-be-handled to the basic level enterprise, the business acceptors of the basic level enterprise upload reports through the to-be-handled reminding download template, and submit data to the business processor of the management company, and the business manager of the parent company performs visual data statistical analysis through the statistical analysis module and the statistical report module, and can customize the displayed content according to the use requirement and the change of the business content.
As shown in FIG. 4, when a service manager uses 1. Service support, a corresponding primary plate and a corresponding secondary plate can be created and started through a plate configuration module, a newly built basic enterprise can be maintained through a 1.1. Mechanism, the started secondary plate is hung, the type of the enterprise is bound, the state of the enterprise is changed, account role authorities can be distributed to each level of enterprise service processors, service acceptors and service management managers through 1.2. Account maintenance, new indexes can be configured through 1.4. The indexes, including an index tree, an index unit and an index formula are set, the secondary module can be created and started through 1.5. Module configuration, a template can be newly built or edited, the template can be bound to a module, the type of the enterprise is bound, a filling period is set, and the filling period is set.
As shown in FIG. 5, after the service support configuration is completed, the service statistics process periodically pushes the to-be-handled to the service acceptors of the basic level enterprise according to the pushing mode, the filling period and the filling valid period of the template configuration, and when the index management is used 2, the basic level enterprise service acceptors can enter the report form filling page through the to-be-handled of the service support push 1, and the basic level enterprise service acceptors can select an offline or online mode to fill the report form according to the actual situation, and submit the report form to the management company after the data is completed and verified to be correct. After receiving the report submitted by the subordinate unit, the management company service processor needs to review the report, and can check the report in the condition of 2.1-to-do reminding or 2.2-index, if the data is wrong, the management company service processor returns to the business acceptors of the basic level enterprise, and if the data is wrong, the management company service processor submits the report to the parent company. The business manager of the parent company can check the report submitted by the lower management company through the index condition of 2.2 and has the returning authority, if the report is wrong, the report returns to the basic unit for re-filling, and if the report is wrong, the process is finished.
The system is used for preparing a statistical chart and providing a transverse comparison and longitudinal drill-down function of the data by extracting the part of data which passes through the examination, wherein the statistical analysis and the statistical report data source are taken from the index which is reported and examined by the index management and the index which passes through the index are taken from the index management and the index management, the statistical analysis provides a more visual chart, and the statistical report is focused on providing form data.
The application example is configured with 1. Generating a report template by service support, constructing an organization mechanism, and distributing account role authority for the organization; the index management standard reporting flow is used for monitoring and controlling the data quality layer by layer; through the statistical analysis of the step 3 and the statistical report of the step 4, the data which is reported and audited by the index management of the step 2 are displayed in a more visual chart form, the problem of insufficient management and control force to the group type enterprises at the present stage is solved through the four functions, the limitation brought by the fixed financial statement format is avoided, and the management and control of the group type enterprises are better promoted.
Specifically, the beneficial effects brought by the application example include:
(1) By setting the service support, the flexible configuration of the index template is realized, the service manager firstly configures new indexes through the indexes, and then gathers the indexes in the index configuration through a multi-selection mode through the template configuration, or generates a new template for the next unit to fill up by newly adding the indexes on the configured template.
(2) The user-defined statistical time, indexes and units are set to check and download each unit, each index data condition in a certain month/quarter/year time period is set through the statistical report, the longitudinal drill-down of report information is realized, the report can be started through preset conditions and is automatically processed and calculated, the report can be provided for report users, financial information of each subordinate mechanism is more conveniently known, and in addition, the statistical report supports processing basic data to generate comprehensive statistical indexes with more analysis significance.
(3) Through a set of complete organization configuration, reporting flow configuration and internal and external network data interaction, the data is summarized upwards from a base unit level, and finally reported to a parent company level through reporting, submitting and auditing flow level reporting.
It should be understood that, although the steps in the flowcharts of fig. 1 to 5 are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps of fig. 1-5 may include steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages in other steps.
In one embodiment, a statistical analysis device for enterprise business is provided, wherein a business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included in the different business statistics primary modules are different, each business statistics secondary module is used for hanging a corresponding data acquisition template, any data acquisition template is associated with each business processing end under a corresponding business plate, wherein the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by any data acquisition template through any data acquisition template, and the business data is the business data required by business statistics of the business statistics primary module corresponding to the hung business statistics secondary module; as shown in fig. 6, the above-mentioned apparatus includes:
The target service processing end determining module 601 is configured to take a service statistics secondary module included in a service statistics primary module to be subjected to service statistics as a target service statistics secondary module, and take a service processing end under a service plate associated with a data acquisition template hanging on the target service statistics secondary module as a target service processing end;
the template first sending module 602 is configured to send, at a first preset time, a data acquisition template that is hung on the target service statistics secondary module to the target service processing end, so that the target service processing end provides corresponding service data to the target service statistics secondary module through the received data acquisition template;
a newly added service processing end judging module 603, configured to judge, at a second preset time after the first preset time, whether a newly added service processing end exists under each service plate corresponding to the data acquisition template of the target service statistics second module between the first preset time and the second preset time;
the second template sending module 604 is configured to send, if yes, only the data acquisition template that is hung on the target service statistics secondary module to the newly added service processing end, so that the newly added service processing end provides corresponding service data to the target service statistics secondary module through the received data acquisition template;
The service statistics module 605 is configured to perform service statistics for the service statistics primary module of the service statistics to be performed based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
In one embodiment, the template first sending module 602 is further configured to generate a to-do event for the target service processing end based on a preset service data providing period and a data acquisition template hanging on the target service statistics secondary module; determining target equipment with service data providing authority in a target service processing end, and sending an event to be handled to the target equipment at a first preset moment so that the target equipment reminds corresponding data reporting personnel based on the event to be handled; the target device is also used for acquiring the service data input by the data filling personnel through the data acquisition template hung on the target service statistics secondary module in the service data providing period and returning the service data.
In one embodiment, the apparatus further comprises: the system comprises an acquisition template configuration module, a first data acquisition template and a second data acquisition template, wherein the acquisition template configuration module is used for acquiring data acquisition indexes set by a service manager through a preset index configuration module, summarizing a plurality of data acquisition indexes and obtaining the first data acquisition template; if the service manager adds the data acquisition index through the index configuration module after obtaining the first data acquisition template, adding the added data acquisition index on the first data acquisition template to obtain a second data acquisition template, and taking the second data acquisition template as the data acquisition template sent to the corresponding service processing end.
In one embodiment, the service statistics module 605 is further configured to trigger one of the service processing ends to provide new service data based on the received data acquisition template if the service data of the service auditing end for one of the service processing ends is not approved; one of the service processing terminals is any one of a target service processing terminal and a newly added service processing terminal; after the business auditing end passes the auditing of the new business data, business statistics of a business statistics primary module aiming at business statistics to be carried out is carried out based on the new business data of one business processing end and the business data of other business processing ends; the other service processing terminals are the target service processing terminal and the service processing terminals except one of the new service processing terminals.
In one embodiment, the service statistics module 605 is further configured to submit the new service data to a service management end for managing the service processing end under each service plate after the service auditing end passes the auditing for the new service data; and if the business management end passes the verification of the new business data, carrying out business statistics of a business statistics primary module aiming at business statistics to be carried out based on the new business data of one business processing end and the business data of other business processing ends.
In one embodiment, the service management end is further configured to directly trigger one of the service processing ends to re-provide the service data based on the received data acquisition template after the new service data is not checked;
the service statistics module 605 is further configured to perform service statistics for the service statistics primary module of service statistics to be performed based on the service data provided again and the service data of other service processing ends if the service management end determines that the service data provided again passes the audit.
In an embodiment, the service management end is further configured to display a monthly service data chart of each service processing end through a month statistics analysis module corresponding to a monthly statistics time period, display a quarterly service data chart of each service processing end through a quarterly statistics analysis module corresponding to a quarterly statistics time period, and display a annual service data chart of each service processing end through a year statistics analysis module corresponding to an annual statistics time period.
For a specific limitation of the statistical analysis device for the enterprise business may be referred to the above limitation of the statistical analysis method for the enterprise business, and will not be described herein. The above-mentioned respective modules in the statistical analysis device for enterprise business operations may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing business statistics processing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a statistical analysis method for the business operations of the enterprise.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the method embodiments described above when the processor executes the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the respective method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The statistical analysis method for enterprise business operation is characterized in that a business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included by the different business statistics primary modules are different, each business statistics secondary module is used for hanging corresponding data acquisition templates, any data acquisition template is associated with each business processing end under a corresponding business plate, wherein the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by any data acquisition template through any data acquisition template, and the business data are needed by the business statistics primary module corresponding to the hung business statistics secondary module for business statistics;
The method comprises the following steps:
taking a business statistics secondary module included in a business statistics primary module to be subjected to business statistics as a target business statistics secondary module, and taking a business processing end under a business plate which is related to a data acquisition template which is hung on the target business statistics secondary module as a target business processing end;
at a first preset moment, a data acquisition template hung on the target service statistics secondary module is sent to the target service processing end, so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
judging whether a new service processing end exists under each service plate corresponding to a data acquisition template of the target service statistics secondary module between the first preset time and the second preset time at a second preset time after the first preset time;
if yes, only transmitting the data acquisition template hung on the target service statistics secondary module to the newly added service processing end, so that the newly added service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
And carrying out service statistics aiming at the service statistics first-level module of the service statistics to be carried out based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the step of sending the data acquisition template hung on the target service statistics secondary module to the target service processing end at a first preset moment so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template, comprising:
generating a to-be-handled event aiming at the target service processing end based on a preset service data providing period and the data acquisition template hung on the target service statistics secondary module;
determining equipment of data filling personnel with service data providing authority in the target service processing end, and sending the event to be handled to the equipment of the data filling personnel at a first preset moment, so that the equipment of the data filling personnel reminds the data filling personnel based on the event to be handled; the equipment of the data filling personnel is also used for acquiring the service data input by the data filling personnel through the data acquisition template hung on the target service statistics secondary module in the service data providing period and returning the service data.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the method further comprises the steps of:
acquiring data acquisition indexes set by a service manager through a preset index configuration module, summarizing a plurality of data acquisition indexes, and obtaining a first data acquisition template;
if the service manager adds the data acquisition index through the index configuration module after obtaining the first data acquisition template, adding the added data acquisition index on the first data acquisition template to obtain a second data acquisition template, and taking the second data acquisition template as the data acquisition template sent to the corresponding service processing end.
4. A method according to any one of claim 1 to 3, wherein,
the performing service statistics for the service statistics primary module of service statistics to be performed based on the service data provided by the target service processing end and the service data provided by the new service processing end includes:
if the business auditing terminal does not pass the auditing of the business data of one of the business processing terminals, triggering the one of the business processing terminals to provide new business data based on the received data acquisition template; the one service processing end is any one of the target service processing end and the newly added service processing end;
After the business auditing end passes the auditing of the new business data, business statistics of the business statistics primary module aiming at the business statistics to be performed is performed based on the new business data of one business processing end and the business data of other business processing ends; the other service processing ends are the target service processing end and the service processing ends except one of the service processing ends in the newly added service processing end.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
after the service auditing end passes the auditing of the new service data, based on the new service data of one service processing end and the service data of other service processing ends, performing service statistics of the service statistics primary module for service statistics to be performed, including:
after the business auditing end passes the auditing of the new business data, submitting the new business data to a business management end for managing a business processing end under each business plate;
and if the business management end passes the checking aiming at the new business data, carrying out business statistics aiming at the business statistics first-level module of the business statistics to be carried out based on the new business data of one business processing end and the business data of other business processing ends.
6. The method of claim 5, wherein the service management end is further configured to directly trigger the one of the service processing ends to re-provide service data based on the received data acquisition template after the new service data is not approved;
the method further comprises the steps of:
and if the service management end passes the audit aiming at the re-provided service data, carrying out service statistics aiming at the service statistics first-level module of the service statistics to be carried out based on the re-provided service data and the service data of other service processing ends.
7. The method of claim 6, wherein the step of providing the first layer comprises,
the business management end is further used for displaying the month business data chart of each business processing end through a month statistics analysis module corresponding to the month statistics time period, displaying the quarter business data chart of each business processing end through a quarter statistics analysis module corresponding to the quarter statistics time period, and displaying the year business data chart of each business processing end through a year statistics analysis module corresponding to the year statistics time period.
8. The statistical analysis device for enterprise business is characterized in that a business statistics primary module comprises a plurality of business statistics secondary modules, different business statistics primary modules belong to different business statistics main bodies, the business statistics secondary modules included by the different business statistics primary modules are different, each business statistics secondary module is used for hanging corresponding data acquisition templates, any data acquisition template is associated with each business processing end under a corresponding business plate, wherein the business processing end under the business plate corresponding to any data acquisition template provides business data for the business statistics secondary module hung by any data acquisition template through any data acquisition template, and the business data are needed by the business statistics primary module corresponding to the hung business statistics secondary module for business statistics;
The device comprises:
the target service processing end determining module is used for taking a service statistics secondary module included in a service statistics primary module to be subjected to service statistics as a target service statistics secondary module and taking a service processing end under a service plate which is related to a data acquisition template hung on the target service statistics secondary module as a target service processing end;
the template first sending module is used for sending the data acquisition template hung on the target service statistics secondary module to the target service processing end at a first preset moment so that the target service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
the newly added service processing end judging module is used for judging whether a newly added service processing end exists under each service plate corresponding to the data acquisition template of the target service statistics secondary module between the first preset time and the second preset time at the second preset time after the first preset time;
the template second sending module is used for sending the data acquisition template hung on the target service statistics secondary module to the newly added service processing end only if the target service statistics secondary module is on, so that the newly added service processing end provides corresponding service data for the target service statistics secondary module through the received data acquisition template;
And the service statistics module is used for carrying out service statistics aiming at the service statistics first-stage module of the service statistics to be carried out based on the service data provided by the target service processing end and the service data provided by the newly added service processing end.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 7.
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