CN110163522A - A kind of review work order analysis method for big data of marketing - Google Patents
A kind of review work order analysis method for big data of marketing Download PDFInfo
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- CN110163522A CN110163522A CN201910457206.XA CN201910457206A CN110163522A CN 110163522 A CN110163522 A CN 110163522A CN 201910457206 A CN201910457206 A CN 201910457206A CN 110163522 A CN110163522 A CN 110163522A
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- 238000012552 review Methods 0.000 title claims abstract description 44
- 238000004458 analytical method Methods 0.000 title claims abstract description 19
- 230000005611 electricity Effects 0.000 claims abstract description 56
- 238000004080 punching Methods 0.000 claims abstract description 10
- 230000008901 benefit Effects 0.000 claims abstract description 6
- 230000011218 segmentation Effects 0.000 claims abstract description 6
- 230000008676 import Effects 0.000 claims abstract description 3
- 238000000034 method Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 abstract description 5
- 238000005457 optimization Methods 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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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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- 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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- 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
- G06Q30/00—Commerce
- G06Q30/01—Customer relationship services
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
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Abstract
The invention discloses a kind of review work order analysis methods of big data of marketing, including receiving the externally input electricity charge period on days for needing to check work order；Import the review record that marketing system corresponds to the period；It judges whether there is review in more months and is recorded as 0 rule；If it is not, then continuing to determine whether to uprush anticlimax there are electricity and be related to electricity electricity charge punching just to move back benefit rule；If so, calculate electricity uprush anticlimax and be related to the electricity electricity charge punching just move back mend rule effective percentage；Export the review record number under each section of threshold value of each electricity increase and decrease rule；Number is recorded in conjunction with each threshold segmentation and whether the growth curve judgment threshold that the electricity consumption of report every profession and trade is classified of marketing needs to adjust；If so, each rule of output and its optimal threshold.The present invention can be improved the effective percentage for calculating review rule, mitigate the workload of manual review, while improve the accuracy rate of electricity bill distribution, reduces customer complaint and promotes level of customer service.
Description
Technical field
The present embodiments relate to review work order analysis technical field more particularly to a kind of review work orders for big data of marketing
Analysis method.
Background technique
For marketing system for files on each of customers, the management that error correction is verified in the electricity charge is not perfect at present, is unable to satisfy files on each of customers electricity
Take the analysis monitoring management requirement of mistake, for business personnel to the archives of user, the verification of electricity charge relevant information is mainly under passing through
The dispersion review work order manual query system information of hair is proofreaded one by one, and monthly in the meter reading phase, client disperses review work order number
Lists thousands of or even up to ten thousand are measured, and part is false error information, for the accuracy and distribution for ensuring user information and the electricity charge
It is timely, business personnel must carry out inquiry verification within certain working day, take a large amount of time and manpower, working efficiency
Lowly, it is easy error, and with the acceleration of electricity charge distribution speed, the mode checked by hand has been unable to satisfy requirement.
Summary of the invention
The present invention provides a kind of review work order analysis method of big data of marketing, so as to solve the deficiencies in the prior art.
To achieve the above object, the present invention provides technical solution below:
A kind of review work order analysis method for big data of marketing, which comprises
Receive the externally input electricity charge period on days for needing to check work order；
Import the review record that marketing system corresponds to the period；
It judges whether there is review in more months and is recorded as 0 rule；
If it is not, then continuing to determine whether to uprush anticlimax there are electricity and be related to electricity electricity charge punching just to move back benefit rule；
If so, calculate electricity uprush anticlimax and be related to the electricity electricity charge punching just move back mend rule effective percentage；
Export the review record number under each section of threshold value of each electricity increase and decrease rule；
Number is recorded in conjunction with each threshold segmentation and whether the growth curve judgment threshold that the electricity consumption of report every profession and trade is classified of marketing needs
It adjusts；
If so, each rule of output and its optimal threshold, terminate.
Further, in the review work order analysis method of the marketing big data, more months are judged whether there is again described
Core is recorded as after the step of 0 rule, further includes:
If so, output review records more months as 0 rule and consideration is marked to deactivate.
Further, it in the review work order analysis method of the marketing big data, dashes forward in the electricity that judges whether there is
Increase anticlimax and be related to after the step that benefit rule is just moved back in electricity electricity charge punching, further includes:
If it is not, then indicating that rule effectively, wouldn't be changed, terminate.
Further, in the review work order analysis method of the marketing big data, in each threshold segmentation record of the combination
After whether number and the growth curve judgment threshold of marketing report every profession and trade electricity consumption classification need the step of adjusting, further includes:
If it is not, then indicating that rule effectively, wouldn't be changed, terminate.
The review work order analysis method of a kind of big data of marketing provided in an embodiment of the present invention, by analyzing each electricity charge days
The review record that rule base generates analyzes the effective percentage of each rule and combines the growth of every profession and trade electricity consumption classification in marketing report bent
Line adjusts the setting of threshold values in time, so that the effective percentage and applicability in rolling optimization accounting criteria library, can be improved accounting review
The effective percentage of rule, mitigates the workload of manual review, while improving the accuracy rate of electricity bill distribution, reduces customer complaint and mentions
Rise level of customer service.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of process signal of the review work order analysis method for marketing big data that the embodiment of the present invention one provides
Figure.
Specific embodiment
To enable the purpose of the present invention, feature, advantage more obvious and understandable, implement below in conjunction with the present invention
Attached drawing in example, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that reality disclosed below
Applying example is only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
In the description of the present invention, it is to be understood that, when a component is considered as " connection " another component, it can
To be directly to another component or may be simultaneously present the component being centrally located.When a component is considered as " setting
Set " another component, it, which can be, is set up directly on another component or may be simultaneously present the component being centrally located.
In addition, the indicating positions such as term " length " " short " "inner" "outside" or positional relationship for the orientation that is shown based on attached drawing or
Person's positional relationship is merely for convenience of the description present invention, rather than the device or original part of indication or suggestion meaning must have this
Specific orientation is operated with specific orientation construction, should not be understood as limitation of the invention with this.
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
Embodiment one
Attached drawing 1 is please referred to, is a kind of review work order analysis method for marketing big data that the embodiment of the present invention one provides
Flow diagram.This method specifically comprises the following steps:
S101, the externally input electricity charge period on days for needing to check work order is received.
S102, the review record that marketing system corresponds to the period is imported.
S103, judge whether there is more months review be recorded as 0 rule；If it is not, S104 is thened follow the steps, if so, executing
Step S109.
S104, judge whether there is electricity uprush anticlimax and be related to the electricity electricity charge punching just move back benefit rule；If so, executing step
Rapid S105, if it is not, thening follow the steps S110.
S105, calculate electricity uprush anticlimax and be related to the electricity electricity charge punching just move back mend rule effective percentage.
Review under each section of regular threshold value of S106, each electricity increase and decrease of output records number.
S107, it is in conjunction with each threshold segmentation record number and the growth curve judgment threshold that the electricity consumption of report every profession and trade is classified of marketing
It is no to need to adjust；If so, S108 is thened follow the steps, if it is not, thening follow the steps S110.
S108, each rule of output and its optimal threshold.
S109, output review record more months as 0 rule and consideration are marked to deactivate.
S110, mark rule effectively, wouldn't be changed.
S111, end.
The review work order analysis method of a kind of big data of marketing provided in an embodiment of the present invention, by analyzing each electricity charge days
The review record that rule base generates analyzes the effective percentage of each rule and combines the growth of every profession and trade electricity consumption classification in marketing report bent
Line adjusts the setting of threshold values in time, so that the effective percentage and applicability in rolling optimization accounting criteria library, can be improved accounting review
The effective percentage of rule, mitigates the workload of manual review, while improving the accuracy rate of electricity bill distribution, reduces customer complaint and mentions
Rise level of customer service.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (4)
1. a kind of review work order analysis method for big data of marketing, which is characterized in that the described method includes:
Receive the externally input electricity charge period on days for needing to check work order；
Import the review record that marketing system corresponds to the period；
It judges whether there is review in more months and is recorded as 0 rule；
If it is not, then continuing to determine whether to uprush anticlimax there are electricity and be related to electricity electricity charge punching just to move back benefit rule；
If so, calculate electricity uprush anticlimax and be related to the electricity electricity charge punching just move back mend rule effective percentage；
Export the review record number under each section of threshold value of each electricity increase and decrease rule；
Number is recorded in conjunction with each threshold segmentation and whether the growth curve judgment threshold that the electricity consumption of report every profession and trade is classified of marketing needs to adjust
It is whole；
If so, each rule of output and its optimal threshold, terminate.
2. the review work order analysis method of marketing big data according to claim 1, which is characterized in that be in the judgement
It is no that there are after the step that review in more months is recorded as 0 rule, further includes:
If so, output review records more months as 0 rule and consideration is marked to deactivate.
3. the review work order analysis method of marketing big data according to claim 1, which is characterized in that be in the judgement
It is no there are electricity uprush anticlimax and be related to the electricity electricity charge punching just moving back mend rule step after, further includes:
If it is not, then indicating that rule effectively, wouldn't be changed, terminate.
4. the review work order analysis method of marketing big data according to claim 1, which is characterized in that each in the combination
Threshold segmentation record number and market the electricity consumption of report every profession and trade classification growth curve judgment threshold whether need the step of adjusting it
Afterwards, further includes:
If it is not, then indicating that rule effectively, wouldn't be changed, terminate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457206.XA CN110163522B (en) | 2019-05-29 | 2019-05-29 | Rechecking work order analysis method for marketing big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457206.XA CN110163522B (en) | 2019-05-29 | 2019-05-29 | Rechecking work order analysis method for marketing big data |
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| Publication Number | Publication Date |
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| CN110163522A true CN110163522A (en) | 2019-08-23 |
| CN110163522B CN110163522B (en) | 2023-04-18 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910457206.XA Active CN110163522B (en) | 2019-05-29 | 2019-05-29 | Rechecking work order analysis method for marketing big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111967231A (en) * | 2020-08-17 | 2020-11-20 | 广东电网有限责任公司 | Automatic rechecking method for business expansion work order charging parameters |
| CN113743894A (en) * | 2021-08-30 | 2021-12-03 | 深圳供电局有限公司 | Method and system for establishing rechecking rule model for rechecking electric bill |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106251236A (en) * | 2016-07-13 | 2016-12-21 | 广东电网有限责任公司 | A kind of electricity electricity charge checking method |
| CN107784601A (en) * | 2016-08-30 | 2018-03-09 | 国家电网公司 | A kind of data acquisition of the electricity charge, accounting and the method for taking control |
| CN109035062A (en) * | 2018-06-25 | 2018-12-18 | 广东电网有限责任公司 | A kind of client's electricity charge anomaly analysis and tactful application system |
| CN109347202A (en) * | 2018-09-06 | 2019-02-15 | 国网浙江省电力有限公司 | The identification of monitoring device typical operation and multidimensional analysis method |
-
2019
- 2019-05-29 CN CN201910457206.XA patent/CN110163522B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106251236A (en) * | 2016-07-13 | 2016-12-21 | 广东电网有限责任公司 | A kind of electricity electricity charge checking method |
| CN107784601A (en) * | 2016-08-30 | 2018-03-09 | 国家电网公司 | A kind of data acquisition of the electricity charge, accounting and the method for taking control |
| CN109035062A (en) * | 2018-06-25 | 2018-12-18 | 广东电网有限责任公司 | A kind of client's electricity charge anomaly analysis and tactful application system |
| CN109347202A (en) * | 2018-09-06 | 2019-02-15 | 国网浙江省电力有限公司 | The identification of monitoring device typical operation and multidimensional analysis method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111967231A (en) * | 2020-08-17 | 2020-11-20 | 广东电网有限责任公司 | Automatic rechecking method for business expansion work order charging parameters |
| CN113743894A (en) * | 2021-08-30 | 2021-12-03 | 深圳供电局有限公司 | Method and system for establishing rechecking rule model for rechecking electric bill |
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| Publication number | Publication date |
|---|---|
| CN110163522B (en) | 2023-04-18 |
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