CN115936593A - Enterprise business annual audit data processing method combined with RPA (resilient packet Access) automated robot - Google Patents
Enterprise business annual audit data processing method combined with RPA (resilient packet Access) automated robot Download PDFInfo
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Abstract
The invention discloses a method for processing enterprise business annual audit data by combining an RPA (resilient packet access) automatic robot, which comprises the following steps of: periodically acquiring data required by enterprise business annual review from enterprise software; and (3) data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review; and (6) integrating data. The method for processing the annual audit data of the enterprise and the business in combination with the RPA automatic robot can comprehensively process the annual audit related data of the enterprise and comprehensively check the annual audit related data of the enterprise, can quickly check the daily business data of the enterprise, can ensure the accuracy of normal operation financial data of the enterprise, improve the quality of the annual audit data of the enterprise and greatly reduce the workload of related workers, can assist the enterprise to strengthen the pre-budget control and business control, reduce the range of the post-financial audit, improve the processing efficiency and the financial quality and bring better use prospect.
Description
Technical Field
The invention relates to the field of enterprise management, in particular to a method for processing enterprise business annual audit data by combining an RPA (resilient packet inspection) automatic robot.
Background
The enterprise business annual review means that an enterprise submits an annual report to a registration organ and presents the annual report to the society through a business main body registration and credit information disclosure platform within a specified time limit according to the year, and the enterprise is responsible for authenticity and legality of the annual report.
In order to ensure the accuracy of data during enterprise business annual audit, statistics and settlement are usually carried out on annual data, and in order to facilitate people to process enterprise business annual audit data, people invent some enterprise business annual audit data processing methods
The existing enterprise business annual audit data processing method generally adopts a manual operation and control computer to check all data, and needs people to repeatedly upload and compare the data when in use, so that the operation is troublesome, and the use requirements of people are not met.
Disclosure of Invention
The invention mainly aims to provide a method for processing enterprise business annual audit data by combining an RPA (resilient packet inspection) automatic robot, which can effectively solve the problems in the background technology.
In order to realize the purpose, the invention adopts the technical scheme that:
a method for processing enterprise business annual audit data by combining an RPA (resilient packet inspection) automatic robot comprises the following steps:
(1) And acquiring data: periodically acquiring data required by enterprise business annual review from enterprise software;
(2) And data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review;
(3) And data integration: integrating and summarizing the data required by the periodic enterprise business annual review after the error is checked;
(4) And data classification: classifying the enterprise business annual audit data which is checked to be correct in different periods according to the standard of enterprise business annual audit;
(5) And data extraction: summarizing enterprise business annual audit data of the same type in different periods, and generating various reports required by enterprise business annual audit;
(6) And data verification: and the auditing system counts and checks the generated reports, and stores the reports after checking the reports.
In one possible implementation manner, the data required for enterprise business annual review obtained periodically from the enterprise software in step (1) includes weekly data, monthly data and quarterly data.
In a possible implementation manner, the data verification in the step (2) includes comparison of weekly data and monthly data and comparison of monthly data and quarterly data, the data verification in the weekly data further includes business verification, the business verification is performed when the comparison of the weekly data and the monthly data and the comparison of the monthly data and the quarterly data in the data verification are not qualified, and the staff is handed to the data re-acquisition when the data verification is wrong.
In a possible implementation manner, the service check comprises data duplication checking, budget check and cost check, during the service check process, data duplication checking is firstly carried out, repeated data is removed, then cost check is carried out, and finally budget check is carried out.
In one possible implementation, the budget check is to re-estimate the service cost according to the service content and the actual service time, and to check the estimated service cost with the actual service cost, and the cost check is based on the service and checks invoices of various costs in the service process.
In a possible implementation manner, when the difference value between the estimated service cost generated in the budget check process and the actual cost exceeds 5% -10%, the cost check is carried out again.
In one possible implementation, the fee is checked to verify the authenticity, the head-up, the date, the amount of money, the content and the seal of the invoice.
And when the cost is checked, whether the invoice type is matched with the service type or not is judged based on the service type, so that the influence of the invoice problem on the enterprise cost can be effectively reduced.
In a possible implementation manner, in the step (3), the data is integrated according to a quarter, and the monthly data and the quarter data are regenerated after the checked weekly data are gathered.
In a possible implementation manner, when enterprise business annual review data of the same type in different periods are summarized in the step (5), all quarterly data are electronically archived according to types divided by data classification, and annual data are generated.
The annual data are directly generated, so that the later-stage financial staff can apply the related data conveniently, and the follow-up processing of people is facilitated.
In a possible implementation mode, the auditing system in the step (6) checks all the reports to be checked to be correct, and then the reports are issued to auditors for re-comparison, and the report mark which is re-compared to be correct is checked to be passed and stored in an enterprise business annual review database.
Compared with the prior art, the method for processing the enterprise business annual audit data by combining the RPA automatic robot has the following beneficial effects:
1. according to the method for processing the enterprise business annual audit data by combining the RPA automatic robot, the enterprise business annual audit related data are comprehensively processed and comprehensively checked, the daily business data of an enterprise can be quickly checked, the accuracy of normal operation financial data of the enterprise can be ensured, and the quality of the enterprise business annual audit data is improved;
2. the method for processing the annual audit data of the enterprise industry and commerce by combining the RPA automatic robot mainly realizes the processing of the enterprise business data by the RPA automatic robot, can greatly reduce the workload of related workers, and has better use effect;
3. when the method for processing the enterprise business annual audit data by combining the RPA automatic robot is used, the data of the normal business budget of an enterprise can be collected, the enterprise can be assisted to strengthen pre-budget control and business control, the range of post-financial audit is reduced, the processing efficiency can be improved, and the financial quality is improved.
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Fig. 1 is a flow chart of a method for processing enterprise business annual audit data by combining an RPA automated robot according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained by combining the specific embodiments.
Example one
A method for processing annual review data of enterprise business in combination with an RPA automated robot, as shown in fig. 1, comprising the following steps:
(1) And acquiring data: periodically acquiring data required by annual review of enterprise business from enterprise software;
periodically acquiring data required by enterprise business annual review from enterprise software, wherein the data comprises weekly data and monthly data;
(2) And data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review;
the data verification comprises comparison of week data and month data, the data verification in the week data also comprises business verification, the business verification is carried out when the comparison of the week data and the month data in the data verification is unqualified, and the business worker is handed to obtain the data again when the data verification is wrong;
the service check comprises data duplicate checking, budget check and cost check, wherein in the service check process, data duplicate checking is firstly carried out, repeated data is removed, then cost check is carried out, and finally budget check is carried out;
the budget check refers to re-estimating the service cost according to the service content and the actual service time, and checking the estimated service cost and the actual service cost, wherein the cost check is based on the service and checks invoices of various costs in the service process.
Comparing the estimated service cost generated in the budget check process with the actual cost, and checking the cost again when the time difference value exceeds 5%;
in the budget check process, the comparison time difference value between the estimated service cost and the actual cost can be independently set according to the type of the service, and the budget check method is more flexible to use.
And verifying the authenticity, the head-up, the date, the amount of money, the content and the seal of the invoice when checking the expense.
(3) And data integration: integrating and summarizing the periodically enterprise business annual audit required data after the verification is correct;
during data integration, according to seasonal integration, summarizing the checked weekly data and regenerating monthly data;
(4) And data classification: classifying the enterprise business annual audit data checked to be correct in different periods according to the standard of enterprise business annual audit;
(5) And data extraction: summarizing enterprise business annual audit data of the same type in different periods, and generating various reports required by enterprise business annual audit;
and when the annual audit data of the same type of enterprises in different periods are summarized, all monthly data are electronically archived according to the type of data classification and division to generate annual data.
(6) And data verification: the auditing system counts and checks the generated reports, and stores the reports after checking the reports without errors;
the auditing system checks all reports, sends the reports to auditors for re-comparison after checking that all reports are correct, and marks the report that is checked again to be passed and stored in the enterprise business annual audit database.
Example two
A method for processing annual review data of enterprise business in combination with an RPA automated robot, as shown in fig. 1, comprising the following steps:
(1) And acquiring data: periodically acquiring data required by enterprise business annual review from enterprise software;
periodically acquiring data required by enterprise business annual review from enterprise software, wherein the data comprises month data and quarter data;
(2) And data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review;
the data verification comprises comparison of the monthly data and the quarterly data, the data verification in the monthly data also comprises service verification, and the service verification is carried out when the comparison of the monthly data and the quarterly data in the data verification is unqualified;
the service check comprises data duplicate checking, budget check and cost check, wherein during the service check, data duplicate checking is firstly carried out, duplicate data are removed, then cost check is carried out, and finally budget check is carried out;
the budget check refers to re-estimating the service cost according to the service content and the actual service time, and checking the estimated service cost and the actual service cost, wherein the cost check is based on the service and checks invoices of various costs in the service process.
Comparing the estimated service cost generated in the budget check process with the actual cost, and checking the cost again when the time difference value exceeds 5%;
and verifying the authenticity, the head-up, the date, the amount of money, the content and the seal of the invoice when checking the expense.
(3) And data integration: integrating and summarizing the data required by the periodic enterprise business annual review after the error is checked;
during data integration, according to quarterly integration, the checked monthly data are collected and then the quarterly data are regenerated;
(4) And data classification: classifying the enterprise business annual audit data which is checked to be correct in different periods according to the standard of enterprise business annual audit;
(5) And data extraction: summarizing enterprise business annual audit data of the same type in different periods, and generating various reports required by enterprise business annual audit;
when enterprise business annual audit data of the same type in different periods are summarized, all quarterly data are electronically archived according to the type of data classification division, and annual data are generated.
(7) And data verification: the auditing system counts and checks the generated reports, and stores the reports after checking the reports without errors;
the auditing system checks all reports, sends the reports to auditors for re-comparison after checking that all reports are correct, and marks the report that is checked again to be passed and stored in the enterprise business annual audit database.
EXAMPLE III
A method for processing annual review data of enterprise business in combination with an RPA automated robot, as shown in fig. 1, comprising the following steps:
(1) And acquiring data: periodically acquiring data required by enterprise business annual review from enterprise software;
periodically acquiring data required by enterprise business annual review from enterprise software, wherein the data comprises weekly data, monthly data and quarterly data;
(2) And data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review;
the data verification comprises comparison of weekly data and monthly data and comparison of monthly data and quarterly data, the data verification in the weekly data also comprises service verification, and the service verification is carried out when the comparison of the weekly data and the monthly data and the comparison of the monthly data and the quarterly data are unqualified in the data verification;
the service check comprises data duplicate checking, budget check and cost check, wherein in the service check process, data duplicate checking is firstly carried out, repeated data is removed, then cost check is carried out, and finally budget check is carried out;
the budget check refers to re-estimating the service cost according to the service content and the actual service time, and checking the estimated service cost and the actual service cost, wherein the cost check is based on the service and checks invoices of various costs in the service process.
Comparing the estimated service cost generated in the budget check process with the actual cost, and checking the cost again when the time difference value exceeds 5%;
and verifying the authenticity, the head-up, the date, the amount of money, the content and the seal of the invoice when checking the expense.
(3) And data integration: integrating and summarizing the periodically enterprise business annual audit required data after the verification is correct;
during data integration, according to seasonal integration, summarizing the checked weekly data and regenerating monthly data and seasonal data;
(4) And data classification: classifying the enterprise business annual audit data checked to be correct in different periods according to the standard of enterprise business annual audit;
(5) And data extraction: summarizing enterprise business annual audit data of the same type in different periods, and generating various reports required by enterprise business annual audit;
and when enterprise business annual audit data of the same type in different periods are summarized, all quarterly data are electronically archived according to the types divided by data classification, and annual data are generated.
(8) And data verification: the auditing system counts and checks the generated reports, and stores the reports after checking the reports without errors;
the auditing system checks all reports, sends the reports to auditors for re-comparison after checking that all reports are correct, and marks the report that is checked again to be passed and stored in the enterprise business annual audit database.
The invention relates to a method for processing annual audit data of enterprises and business by combining an RPA (resilient packet inspection) automatic robot, which comprehensively processes and comprehensively checks the annual audit related data of enterprises and business, can quickly check the daily business data of the enterprises, can ensure the accuracy of normal operation financial data of the enterprises, and improves the annual audit data quality of the enterprises and business;
the method for processing the annual audit data of the enterprise industry and commerce by combining the RPA automatic robot mainly realizes the processing of the enterprise business data by the RPA automatic robot, can greatly reduce the workload of related workers, and has better use effect;
when the method for processing the annual audit data of the enterprise and the business in combination with the RPA automatic robot is used, the data of the normal business budget of the enterprise can be collected, the enterprise can be assisted to strengthen pre-budget control and business control, the range of post-financial audit is reduced, the processing efficiency can be improved, and the financial quality is improved.
The foregoing shows and describes the general principles and features of the present invention, together with the advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, and such changes and modifications are within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A method for processing enterprise business annual audit data by combining an RPA automatic robot is characterized by comprising the following steps:
(1) And acquiring data: periodically acquiring data required by enterprise business annual review from enterprise software;
(2) And data verification: setting a data verification standard, and verifying the acquired data required by the periodic enterprise business annual review;
(3) And data integration: integrating and summarizing the periodically enterprise business annual audit required data after the verification is correct;
(4) And data classification: classifying the enterprise business annual audit data which is checked to be correct in different periods according to the standard of enterprise business annual audit;
(5) And data extraction: summarizing enterprise business annual audit data of the same type in different periods, and generating various reports required by enterprise business annual audit;
(6) And data checking: and the auditing system counts and checks all generated reports, and stores the reports after the reports are checked to be correct.
2. The method for processing annual audit data of enterprise industry and commerce by combining with RPA automation robot as claimed in claim 1, wherein: in the step (1), the data required by the enterprise business annual review is periodically acquired from enterprise software, wherein the data comprises week data, month data and quarter data.
3. The method for processing annual audit data of enterprise industry and commerce by combining with RPA automation robot as claimed in claim 1, wherein: and (3) the data verification in the step (2) comprises comparison of week data and month data and comparison of month data and quarter data, the data verification in the week data also comprises business verification, the business verification is carried out when the comparison of the week data and the month data and the comparison of the month data and the quarter data in the data verification are unqualified, and the staff is handed to acquire the data again when the data verification is wrong.
4. The method for processing annual audit data of enterprise industry and commerce in combination with RPA automation robot as claimed in claim 3, wherein: the service check comprises data duplicate checking, budget check and cost check, wherein the data duplicate checking is firstly carried out in the service check process, repeated data is removed, then the cost check is carried out, and finally the budget check is carried out.
5. The method for processing annual audit data of enterprise industry and commerce in combination with RPA automation robot as claimed in claim 4, wherein: the budget check refers to re-estimating the service cost according to the service content and the actual service time, and checking the estimated service cost and the actual service cost, wherein the cost check is based on the service and checks invoices of various costs in the service process.
6. The method for processing annual audit data of enterprise industry and commerce in combination with RPA automation robot as claimed in claim 5, wherein: and comparing the estimated service cost generated in the budget check process with the actual cost, and performing cost check again when the time difference value exceeds 5% -10%.
7. The method for processing annual audit data of enterprise industry and commerce in combination with RPA automation robot as claimed in claim 6, wherein: and verifying the authenticity, the head-up, the date, the amount of money, the content and the seal of the invoice when checking the expense.
8. The method for processing annual audit data of enterprise industry and commerce by combining with RPA automation robot as claimed in claim 1, wherein: in the step (3), the data are integrated according to the seasons during data integration, and the month data and the quarter data are regenerated after the checked week data are summarized.
9. The method for processing annual audit data of enterprise industry and commerce by combining with RPA automation robot as claimed in claim 1, wherein: and (5) when the annual audit data of the same type of enterprises in different periods are summarized, electronically archiving all the quarterly data according to the type of data classification and division to generate annual data.
10. The method for processing annual audit data of enterprise industry and commerce by combining with RPA automation robot as claimed in claim 1, wherein: and (6) the auditing system audits all reports to be checked to be correct, and then the reports are issued to auditors for re-comparison, and the report mark with correct re-comparison is marked to be audited and passed and stored in an enterprise business annual audit database.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117494702A (en) * | 2024-01-02 | 2024-02-02 | 杭州瑞欧科技有限公司 | Data pushing method and system combining RPA and AI |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117494702A (en) * | 2024-01-02 | 2024-02-02 | 杭州瑞欧科技有限公司 | Data pushing method and system combining RPA and AI |
| CN117494702B (en) * | 2024-01-02 | 2024-04-02 | 杭州瑞欧科技有限公司 | Data pushing method and system combining RPA and AI |
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