CN111461645A - Government affair system data analysis method - Google Patents
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- CN111461645A CN111461645A CN202010187624.4A CN202010187624A CN111461645A CN 111461645 A CN111461645 A CN 111461645A CN 202010187624 A CN202010187624 A CN 202010187624A CN 111461645 A CN111461645 A CN 111461645A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000007405 data analysis Methods 0.000 title claims abstract description 14
- 238000012423 maintenance Methods 0.000 claims abstract description 20
- 238000000540 analysis of variance Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000013075 data extraction Methods 0.000 description 1
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- 238000004519 manufacturing process Methods 0.000 description 1
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- G—PHYSICS
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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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- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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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Abstract
The invention discloses a government affair system data analysis method, which comprises the following steps: the method comprises the following steps: acquiring reasons and operation and maintenance records of a returned submitter in a government affair system; step two: analyzing the operation and maintenance records by adopting an analysis of variance method, and classifying reasons for returning to the submitters; step three: and performing cross summarization on the classified reasons and the operation and maintenance records to obtain the main reason of the return. The method and the system can analyze the main reason for returning the government affair system to the office affair, thereby reducing the application materials aiming at the reason, automatically filling partial fields in modes of data sharing and the like, and improving the success rate of once application for online transaction.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a government affair system data analysis method.
Background
At present, the human society is stepping from the IT era to the DT era, and data resources become new power for driving economic transformation development, serving civil construction and innovating social governance modes. In recent years, the nation has proposed a trial for promoting the opening of data resources and developing public data opening and utilization such as government affairs. The method has the advantages that the novel way for exploring government affair data resource open sharing under the background of 'internet +' is accelerated, and the method has important significance for enriching social information resources, promoting government service efficiency, promoting public entrepreneurship and public innovation and promoting internet economic development.
Administrative examination and approval is the core of a government system, and is greatly promoted to run once at most, convenience is provided for enterprises or individuals, administrative examination and approval simplification is the key of promotion, but various problems still exist in the current examination and approval process, so that materials submitted by the enterprises or individuals can not be examined and approved all the time, the enterprises or individuals need to submit for many times, the success rate of on-line application for once transaction is not high, and reason analysis of on-line transaction and examination and approval is lacked.
Disclosure of Invention
The invention aims to provide a data analysis method for a government affair system, which can analyze the main reason for returning the government affair system to office work, thereby reducing application materials aiming at the reason, automatically filling partial fields by means of data sharing and the like, and further improving the success rate of one-time application for online transaction.
The technical scheme adopted by the invention for solving the technical problems is as follows: a government affair system data analysis method comprises the following steps:
the method comprises the following steps: acquiring reasons and operation and maintenance records of a returned submitter in a government affair system;
step two: analyzing the operation and maintenance records by adopting an analysis of variance method, and classifying reasons for returning to the submitters;
step three: and performing cross summarization on the classified reasons and the operation and maintenance records to obtain the main reason of the return.
By the method, the main reason for returning the government affair system to the office affair can be analyzed, so that application materials can be reduced according to the reason, partial fields can be automatically filled in a data sharing mode and the like, and the success rate of one-time application of online affair handling is improved.
Preferably, the operation and maintenance record comprises the office number and the return times.
Preferably, the analysis of variance method described in step two comprises the steps of:
step 1: counting the number of the office work pieces, obtaining the number n of the office work pieces, and counting the total number M of the return work pieces;
step 2: calculating the piece withdrawing average number mu and the piece withdrawing standard deviation sigma, and calculating the piece withdrawing average number by the formula: and (3) the calculation formula of the standard deviation sigma of the returned piece is that sigma is M/n: σ ═ sqrt (((x)1-μ)2+(x2-μ)2+......+(xn-μ)2)/n)；
And step 3: carrying out frequency statistics on the operation and maintenance records;
and 4, step 4: calculating the probability density f (x) by the following formula:
and combining frequency statistics to obtain an analysis conclusion.
Preferably, the reason for returning the submitter is that professional technical parameters are wrongly filled and/or basic information is wrongly filled and/or that the provided accessory material is not in accordance with the requirements and/or that the accessory material is not covered and/or that the local organization does not permit items and/or that the quantity of the submitted material is insufficient and/or that the submissions are repeated.
Preferably, the main reasons described in step three are one or more of technical expertise parameter filling errors and/or basic information filling errors and/or providing accessory material non-compliance and/or non-self agency licensing terms and/or insufficient quantity of submitted material and/or duplicate office submission.
The invention has the beneficial effects that: the method can analyze the main reason for returning the government affair system to the office work, thereby reducing the application materials aiming at the reason, automatically filling partial fields by means of data sharing and the like, and improving the success rate of once application for online work.
Detailed Description
The present invention will be further described with reference to the following embodiments.
The invention discloses a government affair system data analysis method, which comprises the following steps:
the method comprises the following steps: acquiring reasons and operation and maintenance records of a returned submitter in a government affair system;
step two: analyzing the operation and maintenance records by adopting an analysis of variance method, and classifying reasons for returning to the submitters;
step three: and performing cross summarization on the classified reasons and the operation and maintenance records to obtain the main reason of the return.
The operation and maintenance record comprises the handling number and the returning times.
The analysis of variance method in step two comprises the following steps:
step 1: counting the number of the office work pieces, obtaining the number n of the office work pieces, and counting the total number M of the return work pieces;
step 2: calculating the piece withdrawing average number mu and the piece withdrawing standard deviation sigma, and calculating the piece withdrawing average number by the formula: and (3) the calculation formula of the standard deviation sigma of the returned piece is that sigma is M/n: σ ═ sqrt (((x)1-μ)2+(x2-μ)2+......+(xn-μ)2)/n)；
And step 3: carrying out frequency statistics on the operation and maintenance records;
and 4, step 4: calculating the probability density f (x) by the following formula:
and combining frequency statistics to obtain an analysis conclusion.
The reason for returning the submitter in the first step is that the professional technical parameter filling error and/or the basic information filling error and/or the provided accessory material is not in accordance with the requirement and/or the accessory material is not covered and/or the number of the license items of the non-local institution and/or the submitted material is insufficient and/or the submission of the duplicate office work piece is performed.
The main reasons stated in step three are one or more of professional technical parameter filling errors and/or basic information filling errors and/or providing accessory material non-compliance and/or accessory material non-cover and/or not having the local agency's license terms and/or insufficient amount of submitted material and/or duplicate office submission.
Taking the "production permission of important industrial products" as an example:
table 1 and the reason for the return are obtained from the government system.
TABLE 1
The data in table 1 are counted and calculated to obtain the number n of cases as 74, the total number M of cases returned as 136 (one case is returned for multiple times), and the average number mu of cases returned is 1.83 and the standard deviation sigma of cases returned is 1.09 according to the formula.
Counting frequency to obtain the number of times of returning work table 2
TABLE 2
| Back to 0 number | 8 |
| Returned by 1 amount | 20 |
| Returned by 2 times | 26 |
| Returned 3 times the amount | 16 |
| Returned 4 times the amount | 4 |
Through the probability density calculation and the return times frequency table 2 of the item, the conclusion can be drawn that the number of the return times 1 and 2 is the majority.
And performing return reason analysis on the data in the log library and the daily operation and maintenance records by a classification method to obtain a return reason classification, wherein the return reason classification is mainly used for professional technical parameter filling errors, basic information filling errors, providing unqualified accessory materials, not stamping the accessory materials, non-mechanism permission items, insufficient submitted material quantity, repeated work submission and the like.
And (4) performing cross summarization on the classified reasons and operation and maintenance records, and establishing a cross summarization table (table 3).
TABLE 3
Note: because there may be multiple reasons for a return record, there is an error between the number in the table and the return number table.
Through the cross summary table, the number of the returns 1 time and the returns 2 times is large, and four problems that the provided materials are not qualified and the accessory materials are not stamped are prominent because professional technical parameters are wrongly filled and basic information is wrongly filled.
Through the previous data analysis, the quantity of returning 1 time and returning 2 times is common in the whole administrative examination and approval business, so that the success rate of once application for online work can be improved through optimization.
Continuously analyzing the data, and analyzing the data by filling errors in professional technical parameters and basic information, providing four return reasons that the materials do not meet the requirements and the accessory materials are not stamped to obtain the following conclusion:
1. an organization identity document error; 2. the technical parameters are complex and cause errors; 3. the original certificate information is provided with errors; 4. the technical evaluation materials are not provided according to the requirements; the reason is mainly caused by the return of the office.
After the analysis, the system can be improved, so that the success rate of one-time declaration is improved, for example
1. By establishing a data sharing mode with other business departments, clear documents of the identity cards of the organizations are directly called, and the uploading of enterprises is avoided;
2. the sealing page only keeps the cover and the important technical index part;
3. establishing an electronic certificate base, wherein the original certificate information does not need to be provided, and the electronic certificate information is directly called;
4. the technical review material is arranged at the rear, is provided when not required to be applied and is provided on site in the technical review link;
5. and reducing form filling, and automatically filling the rest fields except for the application difference field in a data extraction mode.
The embodiments in the specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A government affair system data analysis method is characterized in that: the method comprises the following steps:
the method comprises the following steps: acquiring reasons and operation and maintenance records of a returned submitter in a government affair system;
step two: analyzing the operation and maintenance records by adopting an analysis of variance method, and classifying reasons for returning to the submitters;
step three: and performing cross summarization on the classified reasons and the operation and maintenance records to obtain the main reason of the return.
2. The government system data analysis method according to claim 1, wherein: the operation and maintenance record comprises the handling number and the returning times.
3. A government system data analysis method according to claim 2, wherein: the analysis of variance method in step two comprises the following steps:
step 1: counting the number of the office work pieces, obtaining the number n of the office work pieces, and counting the total number M of the return work pieces;
step 2: calculating the piece withdrawing average number mu and the piece withdrawing standard deviation sigma, and calculating the piece withdrawing average number by the formula: and (3) the calculation formula of the standard deviation sigma of the returned piece is that sigma is M/n: σ ═ sqrt (((x)1-μ)2+(x2-μ)2+......+(xn-μ)2)/n)；
And step 3: carrying out frequency statistics on the operation and maintenance records;
and 4, step 4: calculating the probability density f (x) by the following formula:
and combining frequency statistics to obtain an analysis conclusion.
4. A government system data analysis method according to claim 1, 2 or 3, wherein: the reason for returning the submitter in the first step is professional technical parameter filling error and/or basic information filling error and/or providing that the accessory material is not in accordance with the requirement and/or the accessory material is not covered and/or the local agency license item and/or the amount of the submitted material is insufficient and/or the submission of the duplicate office work piece.
5. The government system data analysis method according to claim 4, wherein: the main reasons stated in step three are one or more of professional technical parameter filling errors and/or basic information filling errors and/or providing accessory material non-compliance and/or accessory material non-cover and/or not having the local agency's license terms and/or insufficient amount of submitted material and/or duplicate office submission.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010187624.4A CN111461645A (en) | 2020-03-17 | 2020-03-17 | Government affair system data analysis method |
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| CN202010187624.4A CN111461645A (en) | 2020-03-17 | 2020-03-17 | Government affair system data analysis method |
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| CN202010187624.4A Pending CN111461645A (en) | 2020-03-17 | 2020-03-17 | Government affair system data analysis method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030110088A1 (en) * | 2001-12-11 | 2003-06-12 | Starmer Michael B. | Method and system for returning goods and tracking reasons for return of goods |
| CN101719232A (en) * | 2008-10-10 | 2010-06-02 | 陈燕 | System and method for electronically managing special fund of patent |
| CN105225061A (en) * | 2015-10-20 | 2016-01-06 | 中国石油化工股份有限公司 | Petrochemical industry casualty data analytic system and method |
| CN109492952A (en) * | 2018-12-28 | 2019-03-19 | 广州华多网络科技有限公司 | Audit data processing method, device, electronic equipment and storage medium |
| CN109711627A (en) * | 2018-12-28 | 2019-05-03 | 大庆市嘉华科技有限公司 | A kind of data processing method and device |
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2020
- 2020-03-17 CN CN202010187624.4A patent/CN111461645A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030110088A1 (en) * | 2001-12-11 | 2003-06-12 | Starmer Michael B. | Method and system for returning goods and tracking reasons for return of goods |
| CN101719232A (en) * | 2008-10-10 | 2010-06-02 | 陈燕 | System and method for electronically managing special fund of patent |
| CN105225061A (en) * | 2015-10-20 | 2016-01-06 | 中国石油化工股份有限公司 | Petrochemical industry casualty data analytic system and method |
| CN109492952A (en) * | 2018-12-28 | 2019-03-19 | 广州华多网络科技有限公司 | Audit data processing method, device, electronic equipment and storage medium |
| CN109711627A (en) * | 2018-12-28 | 2019-05-03 | 大庆市嘉华科技有限公司 | A kind of data processing method and device |
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Inventor after: Luo Qin Inventor after: Zhu Xuli Inventor after: Wang Lili Inventor after: Chen Qianqian Inventor after: Huang Jianmin Inventor after: Fu Xiaohang Inventor after: Zhang Lulu Inventor after: Yu Xinjing Inventor after: Wang Jialei Inventor after: Zhong Zhentao Inventor after: Liu Wei Inventor after: Chen Yang Inventor before: Huang Jianmin Inventor before: Liu Hongli Inventor before: He Lin Inventor before: Zhu Qi Inventor before: Luo Qin Inventor before: Chen Xiaorong Inventor before: Lin Bin Inventor before: Xu Yiping Inventor before: Ye Jinfei Inventor before: Zhang Xiaowei Inventor before: Shi Luhang Inventor before: Wang Yan |
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Effective date of registration: 20220727 Address after: Floor 5, Yaojiang development center, No. 305, Huancheng North Road, Hangzhou, Zhejiang 310005 Applicant after: Zhejiang Standardization Research Institute (BRICs National Standardization (Zhejiang) research center and Zhejiang article coding Center) Address before: 310006 5th floor, Yaojiang development center, No. 305, Huancheng North Road, Hangzhou, Zhejiang Province Applicant before: ZHEJIANG FANGDA STANDARD INFORMATION Co.,Ltd. |
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