CN104156801B - Teams and groups of company of city are to mark data handling system and data processing method - Google Patents
Teams and groups of company of city are to mark data handling system and data processing method Download PDFInfo
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- CN104156801B CN104156801B CN201410341435.2A CN201410341435A CN104156801B CN 104156801 B CN104156801 B CN 104156801B CN 201410341435 A CN201410341435 A CN 201410341435A CN 104156801 B CN104156801 B CN 104156801B
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Abstract
The invention discloses teams and groups of company of city to mark data handling system and data processing method；The system includes：Index system establishes module；Setting and data recording module are made a report on, authority is made a report on for setting and data is made a report in typing；Data summarization, data statistics, data analysis, data results displaying and form export module, for carrying out collect statistics to teams and groups' index completion value of typing, the Team Construction index according to corresponding to calculating the statistical mask of setting, the concrete analysis of Team Construction index, the displaying of analysis result and the export of form；Mark post teams and groups matching module, for the screening and displaying to mark post teams and groups；The data of teams and groups are handled and analyzed from multiple angles by management data and segregation of duties of the present invention for teams and groups.
Description
Technical field
The present invention relates to a kind of teams and groups of company of city to mark data handling system and data processing method.
Background technology
Teams and groups' evaluation and checking system in the prior art be present, to teams and groups' evaluation of the system and examination data processing procedure
In still there are problems that confidentiality is poor, data be easily tampered it is low with the big operating efficiency of data volume etc..
Company of city teams and groups to mark data processing work in still there is some not solution technical problem, than
Such as：
The data of 1 existing teams and groups' bidding assessment system do not take encryption measures during transmission and interaction, hold
Easily leave the leak distorted；
2 are directed to the authenticity to marking data of teams and groups, and the operating method of prior art does not account for increase authority processing,
Personal information protection to operator is not very well；
3 in the prior art, and to that can have repetition and the redundancy of data in mark system, deleting and arrange redundant data needs for teams and groups
Waste the time of staff.
4 in processing procedure of the teams and groups to marking big data, and prior art is all manually to operate, and can not avoid the occurrence of big number
According to the omission in processing and mistake.
The content of the invention
The purpose of the present invention is exactly to solve the above problems, there is provided a kind of teams and groups of company of city to mark data handling system and
Data processing method, according to the analysis for carrying out proceeding by teams and groups, workshop, company's multi-layer multi-angle to mark from teams and groups itself.
To achieve these goals, the present invention adopts the following technical scheme that：
A kind of teams and groups of company of city to mark data handling system, including：
Index version, index storehouse, index system establish module, the foundation for index system, index version and index storehouse；
And the additions and deletions to Team Construction index system, index version and index storehouse change and look into work；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents data
It is tampered, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By teams and groups
Construction quotas distributes to sales department, transport inspection department and power regulation center and is in charge of department, and the department that is in charge of is according to the finger distributed to
Mark carries out the typing of data by mobile phone or computer client；
Automatic data collection, data examination ＆ verification, submits module, and for the automatic data collection of data, data examination ＆ verification and data are submitted.
Data summarization, data statistics, data analysis, data results displaying and form export module, for typing
Teams and groups index completion values carry out collect statistics, the Team Construction index according to corresponding to calculating the statistical mask of setting, teams and groups build
If the concrete analysis of index, the displaying of analysis result and the export of form；
Mark post teams and groups matching module, for the screening and displaying to mark post teams and groups.
The index version, index storehouse, index system establish module, including：
Index version establishes module, and the additions and deletions for the foundation of index version, and index version, which change, to be looked into and set currently
Version, cancel current version operation.
Index storehouse establishes module, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation.
Index system establishes module, for the foundation of index system, the modification to index system, deletion, inquiry and
Setting target attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements.
The bore of making a report on sets, makes a report on priority assignation module, including：
Bore setup module is made a report on, for making a report on the setting and preservation of bore.
Priority assignation module is made a report on, for making a report on the setting and preservation of authority.
The automatic data collection, data examination ＆ verification, module is submitted, including：
Automatic data collection module, the automatic data collection for data.
Module is submitted in data examination ＆ verification, and the examination ＆ verification for data is submitted.
The data summarization, data statistics, data analysis, data results displaying and form export module, including：
Data summarization statistics and analysis preparatory unit, for carrying out collect statistics to the data made a report on and carrying out analysis standard
It is standby, judge whether to meet analysis condition by calculating data inputting completion rate；
Statistics typing situation unit, for being checked to statistics typing situation, show gathered data
The not yet detail of gathered data；
Using Algorithm Analysis data cell, according to Principle of Statistics, statistics description is carried out to achievement data, according to data
Characteristic distributions, the method that normal distribution and five points of positions is respectively adopted, determine data quantile.
Analysis result is shown and form export module, is operated for the displaying to analysis result and the export of report data.
Mark post teams and groups matching module, including：
Mark post teams and groups Data Matching preparatory unit, for the data of mark post teams and groups to be prepared and verified, checking according to
According to the various restrictive conditions for being systemic presupposition, when being verified, system Auto-matching restrictive condition, qualified class is filtered out
Group；
Mark post teams and groups matching condition setting unit, for selecting to need index system, form phase, the workshop class screened
Type and teams and groups' type；
Mark post teams and groups are calculated using calculating method and obtain subdivision, based on carrying out comprehensive score to the teams and groups for meeting matching condition
Calculate；
According to setting matching condition and comprehensive score to participate in teams and groups carry out matched data processing unit, for
Teams and groups with condition judge to carry out the matching treatment of data according to comprehensive score；
Generate mark post teams and groups reporting unit, for mark post teams and groups generation and report.
A kind of teams and groups of company of city comprise the following steps to marking data processing method：
Index version, index storehouse, index system are established, the foundation for index system, index version and index storehouse；And
Additions and deletions to Team Construction index system, index version and index storehouse, which change, looks into work；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents data
It is tampered, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By teams and groups
Construction quotas distributes to sales department, transport inspection department and power regulation center and is in charge of department, and the department that is in charge of is according to the finger distributed to
Mark carries out the typing of data by mobile phone or computer client.
Automatic data collection, data examination ＆ verification, is submitted, and for the automatic data collection of data, data examination ＆ verification and data are submitted.
Data summarization, data statistics, data analysis, data results displaying and form export, for the class to typing
Group index completion value carries out collect statistics, and the Team Construction index according to corresponding to calculating the statistical mask of setting, Team Construction refers to
Target concrete analysis, the displaying of analysis result and the export of form；
Mark post teams and groups match, and are reported for the screening and displaying to mark post teams and groups, and to mark post teams and groups.
The index version, index system, index storehouse are established, and are comprised the following steps：
Index version establish, the additions and deletions for the foundation of index version, and index version change look into and set current version,
Cancel current version operation.
Index storehouse is established, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation.
Index system is established, for the foundation of index system, the modification to index system, deletion, inquiry and setting
Criterion Attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements.
The bore of making a report on sets, makes a report on priority assignation, comprises the following steps：
Bore setting is made a report on, for making a report on the setting and preservation of bore.
Priority assignation is made a report on, for making a report on the setting and preservation of authority.
The automatic data collection, data examination ＆ verification, submit, including：
Automatic data collection, the automatic data collection for data.
Data examination ＆ verification is submitted, and the examination ＆ verification for data is submitted.
The automatic data collection, data examination ＆ verification, submit, including：
Automatic data collection, the automatic data collection for data.
Data examination ＆ verification is submitted, and the examination ＆ verification for data is submitted.
The data summarization, data statistics, data analysis, data results displaying and form export, including following step
Suddenly：
Statistics typing situation, for the typing situation and legitimacy of statistics, show gathered data and
The not yet detail of gathered data.
Using Algorithm Analysis data, according to Principle of Statistics, statistics description is carried out to achievement data, the distribution according to data
Feature, the method that normal distribution and five points of positions is respectively adopted, determines data quantile.
Analysis result is shown and form export, is operated for the displaying to analysis result and the export of report data
The mark post teams and groups matching, comprises the following steps：
Mark post teams and groups Data Matching prepares, and for the data of mark post teams and groups to be prepared and verified, the foundation of checking is
The various restrictive conditions of systemic presupposition, when being verified, system Auto-matching restrictive condition, filter out qualified teams and groups；
Mark post teams and groups matching conditions is set, for select to need to screen index system, the form phase, workshop type and
Teams and groups' type；
The score of mark post teams and groups is calculated using calculating method, based on carrying out comprehensive score to the teams and groups for meeting matching condition
Calculate；
Matched data processing is carried out to participating in teams and groups according to the matching condition and comprehensive score of setting, for matching condition
Teams and groups according to comprehensive score judge carry out data matching treatment；
Generate the report of mark post teams and groups, for mark post teams and groups generation and report.
The method of the normal distribution is as follows：
The achievement data for meeting normal distribution is examined, respectively using 1 σ (standard deviations of the σ as achievement data), 0.33 σ, -0.33 σ
It is quantile with -1 σ, data is divided into five sections of A, B, C, D, E, the score difference of each section by the outstanding order to backwardness
For 4,3,2,1,0 points.
The method of five period in arithmetric is as follows：
Examine and do not meet the data of normal distribution, achievement data is divided into five sections with five period in arithmetrics, embody respectively from
Backwardness compares and good and bad degree to outstanding variation.The selection of its quantile is consistent with normal distribution method, be respectively adopted 16%,
37%th, 63% and 84% probability is set, and achievement data is divided into five sections of A, B, C, D, E, the score of each section is respectively 4,
3rd, 2,1,0 points.
For being analyzed according to the normal distribution and five points of position algorithms that have set logging data；
Analysis result is shown and form lead-out unit, is operated for the displaying to analysis result and the export of report data；
When mark is analyzed, point multilayer is carried out, and is successively from the bottom up：
A, the score of each teams and groups is calculated by index, the teams and groups of same type are carried out to mark
B, the score in each workshop is calculated by teams and groups, the workshop of same type is carried out to mark
C, the score of each company of city is calculated by workshop, is carried out between each company of city to mark.
Beneficial effects of the present invention：
1 solves the safety issue in Team Construction data handling procedure, can effectively prevent distorting for teams and groups' data,
Lift the operating efficiency of data processing.
2nd, in the analysis to teams and groups' index completion value, data distribution algorithms normal distribution in statistics, five are employed
Divide position, ensure that the science, reasonability, correctness of analysis result.
Elementary cell of teams and groups' index analysis using the completion value of single index as analysis, a usual index can be correspondingly multiple
Completion value, segmentation calculating first is carried out using normal distribution algorithm to these completion values, when discovery has abnormal data in calculating process
When, then rejecting abnormalities data, then proceed to calculate, and continue to reject if also abnormal data, until no abnormal data is
Only；If abnormal data can not be rejected all, illustrate to be not suitable for using normal distribution algorithm, it is necessary to use five points of position algorithms
Carry out segmentation calculating.
3rd, the corresponding A of segmentation score 4,3,2,1,0 calculated using normal distribution, five points of position algorithms, B, C, D, E section
Without being directly worth using completion into row index Ordination, by increasing capacitance it is possible to increase achievement of each teams and groups in each index reaches
Probability that is advanced or falling behind, can be effectively ensured the teams and groups for making great efforts improvement it can be seen that the improvement result of oneself.
Brief description of the drawings
Fig. 1 is the block diagram of Team Construction management system of the present invention；
Fig. 2 be Team Construction Management System Data automatic data collection of the present invention, data examination ＆ verification, submit module embodiment step
Rapid flow chart；
Fig. 3 is the step flow chart for the embodiment that Team Construction Management System Data of the present invention counts, analysis prepares；
Fig. 4 is the step flow chart of the embodiment of Team Construction management system mark post teams and groups of the present invention matching module.
Embodiment
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, a kind of teams and groups of company of city to mark data handling system, including：
Index version, index storehouse, index system establish module, the foundation for index system, index version and index storehouse；
And the additions and deletions to Team Construction index system, index version and index storehouse change and look into work；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents data
It is tampered, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By teams and groups
Construction quotas distributes to sales department, transport inspection department and power regulation center and is in charge of department, and the department that is in charge of is according to the finger distributed to
Mark carries out the typing of data by mobile phone or computer client；
Automatic data collection, data examination ＆ verification, submits module, and for the automatic data collection of data, data examination ＆ verification and data are submitted.
Data summarization, data statistics, data analysis, data results displaying and form export module, for typing
Teams and groups index completion values carry out collect statistics, the Team Construction index according to corresponding to calculating the statistical mask of setting, teams and groups build
If the concrete analysis of index, the displaying of analysis result and the export of form；
Mark post teams and groups matching module, reported for the screening and displaying to mark post teams and groups, and to mark post teams and groups.
The index version, index storehouse, index system establish module, including：
Index version establishes module, and the additions and deletions for the foundation of index version, and index version, which change, to be looked into and set currently
Version, cancel current version operation.
Index storehouse establishes module, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation.
Index system establishes module, for the foundation of index system, the modification to index system, deletion, inquiry and
Setting target attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements.
The bore of making a report on sets, makes a report on priority assignation module, including：
Bore setup module is made a report on, for making a report on the setting and preservation of bore.
Priority assignation module is made a report on, for making a report on the setting and preservation of authority.
As shown in Fig. 2 the examination ＆ verification of the automatic data collection, data, submission module, including：
Automatic data collection module, the automatic data collection for data.
Module is submitted in data examination ＆ verification, and the examination ＆ verification for data is submitted.
As shown in figure 3, the data summarization, data statistics, data analysis, data results displaying and form export mould
Block, including：
Statistics typing situation, for the typing situation and legitimacy of statistics, show gathered data and
The not yet detail of gathered data.
Using Algorithm Analysis data cell, according to Principle of Statistics, statistics description is carried out to achievement data, according to data
Characteristic distributions, the method that normal distribution and five points of positions is respectively adopted, determine data quantile.
Analysis result is shown and form export module, is operated for the displaying to analysis result and the export of report data
As shown in figure 4, mark post teams and groups matching module, including：
Mark post teams and groups Data Matching preparatory unit, for the data of mark post teams and groups to be prepared and verified, checking according to
According to the various restrictive conditions for being systemic presupposition, when being verified, system Auto-matching restrictive condition, qualified class is filtered out
Group；
Mark post teams and groups matching condition setting unit, for selecting to need index system, form phase, the workshop class screened
Type and teams and groups' type；
Mark post teams and groups comprehensive score unit is calculated, for carrying out comprehensive score calculating to the teams and groups for meeting matching condition；
According to setting matching condition and comprehensive score to participate in teams and groups carry out matched data processing unit, for
Teams and groups with condition judge to carry out the matching treatment of data according to comprehensive score；
Generate mark post teams and groups reporting unit, for mark post teams and groups generation and report.
A kind of teams and groups of company of city comprise the following steps to marking data processing method：
Index version, index storehouse, index system are established, the foundation for index system, index version and index storehouse；And
Additions and deletions to Team Construction index system, index version and index storehouse, which change, looks into work；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents data
It is tampered, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By teams and groups
Construction quotas distributes to sales department, transport inspection department and power regulation center and is in charge of department, and the department that is in charge of is according to the finger distributed to
Mark carries out the typing of data by mobile phone or computer client；
Automatic data collection, data examination ＆ verification, is submitted, and for the automatic data collection of data, data examination ＆ verification and data are submitted.
Data summarization, data statistics, data analysis, data results displaying and form export, for the class to typing
Group index completion value carries out collect statistics, and the Team Construction index according to corresponding to calculating the statistical mask of setting, Team Construction refers to
Target concrete analysis, the displaying of analysis result and the export of form；
Mark post teams and groups match, and are reported for the screening and displaying to mark post teams and groups, and to mark post teams and groups.
The index version, index system, index storehouse are established, and are comprised the following steps：
Index version establish, the additions and deletions for the foundation of index version, and index version change look into and set current version,
Cancel current version operation.
Index storehouse is established, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation.
Index system is established, for the foundation of index system, the modification to index system, deletion, inquiry and setting
Criterion Attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements.
The bore of making a report on sets, makes a report on priority assignation, comprises the following steps：
Bore setting is made a report on, for making a report on the setting and preservation of bore.
Priority assignation is made a report on, for making a report on the setting and preservation of authority.
The automatic data collection, data examination ＆ verification, submit, including：
Automatic data collection, the automatic data collection for data.
Data examination ＆ verification is submitted, and the examination ＆ verification for data is submitted.
The automatic data collection, data examination ＆ verification, submit, comprise the following steps：
Automatic data collection, the automatic data collection for data.
Data examination ＆ verification is submitted, and the examination ＆ verification for data is submitted.
The data summarization, data statistics, data analysis, data results displaying and form export, including following step
Suddenly：
Data summarization statistics and analysis prepares, for carrying out collect statistics to the data made a report on and carrying out analysis preparation,
Judge whether to meet analysis condition by calculating data inputting completion rate；
Collect statistics data inputting, for being checked to collect statistics data inputting situation, show gathered data
The not yet detail of gathered data；
Using Algorithm Analysis data, according to Principle of Statistics, statistics description is carried out to achievement data, the distribution according to data
Feature, the method that normal distribution and five points of positions is respectively adopted, determines data quantile.
Analysis result is shown and form export, is operated for the displaying to analysis result and the export of report data
The mark post teams and groups matching, comprises the following steps：
Mark post teams and groups Data Matching prepares, and for the data of mark post teams and groups to be prepared and verified, the foundation of checking is
The various restrictive conditions of systemic presupposition, when being verified, system Auto-matching restrictive condition, filter out qualified teams and groups；
Mark post teams and groups matching conditions is set, for select to need to screen index system, the form phase, workshop type and
Teams and groups' type；
Mark post teams and groups comprehensive score is calculated, for carrying out comprehensive score calculating to the teams and groups for meeting matching condition；
Matched data processing is carried out to participating in teams and groups according to the matching condition and comprehensive score of setting, for matching condition
Teams and groups according to comprehensive score judge carry out data matching treatment；
Generate the report of mark post teams and groups, for mark post teams and groups generation and report.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.
Claims (2)
1. a kind of teams and groups of company of city to mark data handling system, it is characterized in that, including：
Index version, index storehouse, index system establish module, the foundation for index system, index version and index storehouse；And
Additions and deletions to Team Construction index system, index version and index storehouse, which change, looks into work；The index version, index system, index
Module is established in storehouse, including：
Index version establishes module, the additions and deletions for the foundation of index version, and index version change look into and set current version,
Cancel current version operation；
Index storehouse establishes module, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation；
Index system establishes module, for the foundation of index system, the modification to index system, deletion, inquiry and setting
Criterion Attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents that data from being usurped
Change, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By Team Construction
Distribution Indexes are in charge of department to sales department, transport inspection department and power regulation center, and the department that is in charge of leads to according to the index distributed to
Cross mobile phone or computer client carries out the typing of data；
The bore of making a report on sets, makes a report on priority assignation module, including：
Bore setup module is made a report on, for making a report on the setting and preservation of bore；
Priority assignation module is made a report on, for making a report on the setting and preservation of authority；
The automatic data collection, data examination ＆ verification, module is submitted, including：
Automatic data collection module, the automatic data collection for data；
Module is submitted in data examination ＆ verification, and the examination ＆ verification for data is submitted；
Automatic data collection, data examination ＆ verification, submits module, and for the automatic data collection of data, data examination ＆ verification and data are submitted；
Data summarization, data statistics, data analysis, data results displaying and form export module, for the class to typing
Group index completion value carries out collect statistics, and the Team Construction index according to corresponding to calculating the statistical mask of setting, Team Construction refers to
Target concrete analysis, the displaying of analysis result and the export of form；The data summarization, data statistics, data analysis, data point
Result displaying and form export module are analysed, is comprised the following steps：
Statistics typing situation, for the typing situation and legitimacy of statistics, show gathered data and not yet
The detail of gathered data；
Using Algorithm Analysis data cell, according to Principle of Statistics, statistics description is carried out to achievement data, the distribution according to data
Feature, the method that normal distribution and five points of positions is respectively adopted, determines data quantile；
Elementary cell of teams and groups' index analysis using the completion value of single index as analysis, a usual index can correspond to multiple completions
These completion values are first carried out segmentation calculating by value using normal distribution algorithm, when finding to have abnormal data in calculating process, then
Rejecting abnormalities data, then proceed to calculate, and continue to reject if also abnormal data, untill no abnormal data；Such as
Fruit abnormal data can not be rejected all, then explanation is not suitable for using normal distribution algorithm, it is necessary to be carried out using five points of position algorithms
Segmentation calculates；
When mark is analyzed, point multilayer is carried out, and is successively from the bottom up：
A, the score of each teams and groups is calculated by index, the teams and groups of same type are carried out to mark；
B, the score in each workshop is calculated by teams and groups, the workshop of same type is carried out to mark；
C, the score of each company of city is calculated by workshop, is carried out between each company of city to mark；
Analysis result is shown and form export module, is operated for the displaying to analysis result and the export of report data；
Mark post teams and groups matching module, reported for the screening and displaying to mark post teams and groups, and to mark post teams and groups；The mark post
Teams and groups' matching module, comprises the following steps：
Mark post teams and groups Data Matching preparatory unit, for the data of mark post teams and groups to be prepared and verified, the foundation of checking is
The various restrictive conditions of systemic presupposition, when being verified, system Auto-matching restrictive condition, filter out qualified teams and groups；
Mark post teams and groups matching condition setting unit, for select need screen index system, the form phase, workshop type and
Teams and groups' type；
Mark post teams and groups comprehensive score unit is calculated, for carrying out comprehensive score calculating to the teams and groups for meeting matching condition；
The unit of matched data processing is carried out to participating in teams and groups according to the matching condition and comprehensive score of setting, for matching bar
The teams and groups of part judge to carry out the matching treatment of data according to comprehensive score；
Generate mark post teams and groups reporting unit, for mark post teams and groups generation and report.
2. the method that teams and groups of a kind of company of city as claimed in claim 1 are applied to mark data handling system, it is characterized in that, bag
Include following steps：
Index version, index storehouse, index system are established, the foundation for index system, index version and index storehouse；And to class
Set up and set the additions and deletions of index system, index version and index storehouse and change and look into work；The index version, index system, index storehouse are built
It is vertical, comprise the following steps：
Index version is established, and the additions and deletions for the foundation of index version, and index version, which change, to be looked into and set current version, cancels
Current version operates；
Index storehouse is established, and the additions and deletions for the foundation of index storehouse, and index storehouse change difference and import and export operation；
Index system is established, for the foundation of index system, the modification to index system, deletion, inquiry and setting target
Attribute, distribution system are operated using mechanism, setting current arrangements, cancellation current arrangements；
Make a report on bore to set, make a report on priority assignation module, using finger print information make a report on the setting of authority prevents that data from being usurped
Change, using finger print information make a report on the setting of bore prevents data to be tampered and make a report on the typing of data；By Team Construction
Distribution Indexes are in charge of department to sales department, transport inspection department and power regulation center, and the department that is in charge of leads to according to the index distributed to
Cross mobile phone or computer client carries out the typing of data；
The bore of making a report on sets, makes a report on priority assignation, comprises the following steps：Bore setting is made a report on, for making a report on setting for bore
Put and preserve；
Priority assignation is made a report on, for making a report on the setting and preservation of authority；
The automatic data collection, data examination ＆ verification, submit, comprise the following steps：
Automatic data collection, the automatic data collection for data；
Data examination ＆ verification is submitted, and the examination ＆ verification for data is submitted；
Automatic data collection, data examination ＆ verification, is submitted, and for the automatic data collection of data, data examination ＆ verification and data are submitted；
Data summarization, data statistics, data analysis, data results displaying and form export：It is complete to teams and groups' index of typing
Into value carry out collect statistics, according to the statistical mask of setting calculate corresponding to Team Construction index, Team Construction index it is specific
Analysis, the displaying of analysis result and the export of form；
The data summarization, data statistics, data analysis, data results displaying and form export, comprise the following steps：
Data summarization statistics and analysis prepares：Collect statistics are carried out to the data made a report on and carry out analysis preparation, pass through calculating
Data inputting completion rate judges whether to meet analysis condition；
Collect statistics data inputting：Collect statistics data inputting situation is checked, gathered data is shown and not yet adopts
Collect the detail of data；
Using Algorithm Analysis data：According to Principle of Statistics, statistics description is carried out to achievement data, the distribution according to data is special
Point, the method that normal distribution and five points of positions is respectively adopted, determines data quantile；
Elementary cell of teams and groups' index analysis using the completion value of single index as analysis, a usual index can correspond to multiple completions
These completion values are first carried out segmentation calculating by value using normal distribution algorithm, when finding to have abnormal data in calculating process, then
Rejecting abnormalities data, then proceed to calculate, and continue to reject if also abnormal data, untill no abnormal data；Such as
Fruit abnormal data can not be rejected all, then explanation is not suitable for using normal distribution algorithm, it is necessary to be carried out using five points of position algorithms
Segmentation calculates；
When mark is analyzed, point multilayer is carried out, and is successively from the bottom up：
A, the score of each teams and groups is calculated by index, the teams and groups of same type are carried out to mark；
B, the score in each workshop is calculated by teams and groups, the workshop of same type is carried out to mark；
C, the score of each company of city is calculated by workshop, is carried out between each company of city to mark；
Analysis result is shown and form export, is operated for the displaying to analysis result and the export of report data；
Mark post teams and groups match：Screening and displaying to mark post teams and groups, and mark post teams and groups are reported；
The mark post teams and groups matching, comprises the following steps：
Mark post teams and groups Data Matching prepares：The data of mark post teams and groups are prepared and verified, the foundation of checking is systemic presupposition
Various restrictive conditions, when being verified, system Auto-matching restrictive condition, filter out qualified teams and groups；
Mark post teams and groups matching condition is set：Selection needs index system, form phase, workshop type and the teams and groups' class screened
Type；
Calculate mark post teams and groups comprehensive score：Comprehensive score calculating is carried out to the teams and groups for meeting matching condition；
According to the matching condition and comprehensive score of setting matched data processing is carried out to participating in teams and groups：To teams and groups' root of matching condition
Judge to carry out the matching treatment of data according to comprehensive score；
Generate the report of mark post teams and groups：The generation of mark post teams and groups and report.
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| CN201410341435.2A CN104156801B (en) | 2014-07-17 | 2014-07-17 | Teams and groups of company of city are to mark data handling system and data processing method |
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| CN201410341435.2A CN104156801B (en) | 2014-07-17 | 2014-07-17 | Teams and groups of company of city are to mark data handling system and data processing method |
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| CN104156801B true CN104156801B (en) | 2017-12-22 |
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| CN107016487B (en) * | 2017-03-07 | 2021-07-30 | 中国石油化工股份有限公司 | Index system modeling system and method based on environmental protection management |
| CN107194804B (en) * | 2017-05-27 | 2020-07-28 | 国家计算机网络与信息安全管理中心 | Automatic verification method for P2P network credit data |
| CN109711692A (en) * | 2018-12-17 | 2019-05-03 | 深圳壹账通智能科技有限公司 | KPI INDEX MANAGEMENT method, apparatus, computer equipment and storage medium |
| CN109670098A (en) * | 2018-12-20 | 2019-04-23 | 安徽经邦软件技术有限公司 | Industry based on big data technology is to mark implementation method |
| CN110059977A (en) * | 2019-04-25 | 2019-07-26 | 广西扬翔股份有限公司 | Indicating means, instruction device, instruction system and computer readable storage medium |
| CN112037083B (en) * | 2020-07-15 | 2024-02-23 | 国能信控互联技术有限公司 | Power plant production data reporting system |
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| CN103186837A (en) * | 2012-11-26 | 2013-07-03 | 国家电网公司 | Marketing index dynamic benchmarking management method |
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| CN103186837A (en) * | 2012-11-26 | 2013-07-03 | 国家电网公司 | Marketing index dynamic benchmarking management method |
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| "基于标杆管理的电力企业同业对标";吴佳怡;《中国优秀硕士学位论文全文数据库 经济与管理科学辑》;20080415(第04期);第2.4.2、3.1.3、3.2、3.3.2、4.1.2、4.1.3、5.3节 * |
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