CN109508855A - A kind of sales service compliance discriminatory analysis method based on big data processing - Google Patents
A kind of sales service compliance discriminatory analysis method based on big data processing Download PDFInfo
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- CN109508855A CN109508855A CN201811133321.3A CN201811133321A CN109508855A CN 109508855 A CN109508855 A CN 109508855A CN 201811133321 A CN201811133321 A CN 201811133321A CN 109508855 A CN109508855 A CN 109508855A
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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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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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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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Abstract
The present invention provides a kind of sales service compliance discriminatory analysis methods based on big data processing, method includes the following steps: step S100, for statistical analysis to passing sales service data；Step S200, according to statistical analysis as a result, assigning different weights for the parameters in sales service data；Step S300 obtains current sales service data；Step S400 assigns aforementioned weight coefficient for the parameters in the current sales service data of acquisition；Step S500 calculates the total score of current sales service data according to weight coefficient and parameters, if it is larger than or equal to specific threshold, then the various information of the sales service is shown to user.
Description
Technical field
The invention belongs to big data excavation applications more particularly to a kind of sales service for calculating big data based on the electricity charge to close rule
Property discriminatory analysis method.
Background technique
With the continuous social and economic development, power demand constantly expands, and power grid scale is constantly expanded, all kinds of Power Projects
Sustainable development, this also puts forward new requirements the monitoring capability of network system.Currently, the monitoring center in national grid accumulates
A large amount of monitoring data and thematic monitoring experience, but in terms of the discriminatory analysis for abnormal sales service compliance,
Also only reside within the single stage for comparing, reminding problem.For example, monitoring center once monitors the paid electricity charge and collects charges for electricity in advance
When not being inconsistent, i.e., reminding business department is handled, and this simple comparison prompt often results in false judgment, it is also necessary to business department
Divide and carry out manual intervention, considerably increases cost of labor.Therefore, needing one kind can market according to passing mass data
Whether business closes the intellectual determination analysis method of rule.
Summary of the invention
In order to overcome the above problem, the present invention provides a kind of sales service compliance judgements point based on big data processing
Analysis method, method includes the following steps: step S100, for statistical analysis to passing sales service data；Step S200,
According to statistical analysis as a result, assigning different weights for the parameters in sales service data；Step S300 is obtained current
Sales service data；Step S400 assigns aforementioned weight coefficient for the parameters in the current sales service data of acquisition；
Step S500 calculates the total score of current sales service data, according to weight coefficient and parameters if it is larger than or equal to specific
Threshold value then shows the various information of the sales service to user.
Detailed description of the invention
Fig. 1 is the flow chart of the sales service compliance discriminatory analysis method according to the present invention based on big data processing.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention will be made further in conjunction with attached drawing
Detailed description.This description is to describe specific implementation consistent with the principles of the present invention by way of example, and not limitation
Mode, the description of these embodiments is detailed enough, so that those skilled in the art can practice the present invention, is not being taken off
Other embodiments can be used in the case where from scope and spirit of the present invention and can change and/or replace each element
Structure.Therefore, the following detailed description should not be understood from restrictive sense.For the technology hand for realizing the present invention
Section, creation characteristic reach purpose and effect is easy to understand, and following further describes the present invention in conjunction with specific drawings.
As shown in Figure 1, the present invention provides a kind of sales service compliance discriminatory analysis method based on big data processing,
The following steps are included:
Step S100, it is for statistical analysis to passing sales service data.According to an aspect of the present invention, passing
Sales service data include following class parameter, for example, collecting charges for electricity in advance, single client moves back benefit, cancellation subscriber arrearage, repeatedly continuous
Refund, penalty deduction and exemption, charging requirement are lower than 40% etc. of working capacity.Wherein each parameter can also include more careful
Parameter, for example, user's detail, the amount of money, number, area distribution, category of employment, absolute time variation, the relative value time become
Change etc..Those skilled in the art should know that the parameter in above embodiment, which is only that, facilitates those skilled in the art more
The good understanding present invention, and be not meant as parameter used in the present invention and be restricted to above-mentioned parameter.Those skilled in the art
Member it is further appreciated that can by now and be unaware of or use and be added thereto in parameter that is known in future or using, so as into
Row more accurately statisticallys analyze.The process of statistical analysis includes the numerical value for counting parameters, distribution situation, corresponding
Whether sales service is abnormal etc..The passing sales service data can store a form of database in office or service
In device, it is preferred that store in distributed data base beyond the clouds.
Step S200, according to statistical analysis as a result, assigning different weights for the parameters in sales service data.
According to being statisticallyd analyze in step S100 as a result, whether abnormal related of parameters and corresponding sales service can be determined
Degree assigns different weights according to the degree of correlation for parameters.For example, the weight for the parameter that collects charges for electricity in advance is 0.3, single visitor
The weight that benefit is moved back at family is 0.4 etc..
Step S300 obtains current sales service data.Current marketing data refers to the marketing currently monitored
Business datum, the parameter for being included are identical as passing marketing data.
Step S400 assigns aforementioned weight coefficient for the parameters in the current sales service data of acquisition.In the step
In rapid, weight coefficient calculated in step S200 is assigned to the parameters in current sales service data.
Step S500 calculates the total score of current sales service data according to weight coefficient and parameters, if it is greater than
Equal to specific threshold, then the various information of the sales service is shown to user；If it is less than specific threshold, then ignore the current battalion
Sell business datum.The specific threshold should can guarantee so that the probability of sales service data exception reaches 100%, so
One, then it can be to avoid failing to report.
According to the present invention it is possible to parse the rule of sales service data exception from passing mass data, and should
Rule is applied in current sales service data monitoring, so as to provide intelligentized sales service monitoring for business department
It is recommended that human cost can be saved effectively.
In addition, according to disclosed specification of the invention, other realizations of the invention are for those skilled in the art
Significantly.The various aspects of embodiment and/or embodiment can be used for system of the invention individually or with any combination
In method.Specification and example therein should be only be regarded solely as it is exemplary, the actual scope of the present invention and spirit by appended
Claims indicate.
Claims (4)
1. a kind of sales service compliance discriminatory analysis method based on big data processing, which comprises the following steps:
Step S100, it is for statistical analysis to passing sales service data；
Step S200, according to statistical analysis as a result, assigning different weights for the parameters in sales service data；
Step S300 obtains current sales service data；
Step S400 assigns aforementioned weight coefficient for the parameters in the current sales service data of acquisition；
Step S500 calculates the total score of current sales service data according to weight coefficient and parameters, if it is larger than or equal to
Specific threshold then shows the various information of the sales service to user.
2. the method according to claim 1, wherein in step S500, if the total score is less than certain threshold
Value, then ignore the sales service data.
3. the method according to claim 1, wherein the parameter include collect charges for electricity in advance, single client moves back benefit,
Cancellation subscriber arrearage, repeatedly continuous refund, penalty deduction and exemption, charging requirement are lower than 40% etc. of working capacity.
4. according to the method described in claim 3, it is characterized in that, collect charges for electricity in advance, single client moves back benefit, cancellation subscriber arrearage,
Repeatedly continuous refund, penalty, which are reduced or remitted, charging requirement is lower than in 40% etc. of working capacity these parameters may further include,
The parameters such as user's detail, the amount of money, number, area distribution, category of employment, absolute time variation, relative value time change.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811133321.3A CN109508855A (en) | 2018-09-27 | 2018-09-27 | A kind of sales service compliance discriminatory analysis method based on big data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811133321.3A CN109508855A (en) | 2018-09-27 | 2018-09-27 | A kind of sales service compliance discriminatory analysis method based on big data processing |
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| CN109508855A true CN109508855A (en) | 2019-03-22 |
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| CN201811133321.3A Pending CN109508855A (en) | 2018-09-27 | 2018-09-27 | A kind of sales service compliance discriminatory analysis method based on big data processing |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101854060A (en) * | 2010-05-10 | 2010-10-06 | 国网信息通信有限公司 | System for evaluating service quality of power ICT network |
| CN103312030A (en) * | 2012-03-08 | 2013-09-18 | 国家电网公司 | Electrical device monitoring system and method |
| CN104680428A (en) * | 2015-03-16 | 2015-06-03 | 朗新科技股份有限公司 | Construction method of power grid customer satisfaction model |
| KR101690423B1 (en) * | 2015-07-30 | 2016-12-27 | 주식회사 솔루오션 | Laundry database utilizing big data building and marketing information extraction device |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
-
2018
- 2018-09-27 CN CN201811133321.3A patent/CN109508855A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101854060A (en) * | 2010-05-10 | 2010-10-06 | 国网信息通信有限公司 | System for evaluating service quality of power ICT network |
| CN103312030A (en) * | 2012-03-08 | 2013-09-18 | 国家电网公司 | Electrical device monitoring system and method |
| CN104680428A (en) * | 2015-03-16 | 2015-06-03 | 朗新科技股份有限公司 | Construction method of power grid customer satisfaction model |
| KR101690423B1 (en) * | 2015-07-30 | 2016-12-27 | 주식회사 솔루오션 | Laundry database utilizing big data building and marketing information extraction device |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
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Application publication date: 20190322 |