CN116662282B - Service data processing sharing system based on multidimensional data - Google Patents
Service data processing sharing system based on multidimensional data Download PDFInfo
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Abstract
The invention discloses a service data processing sharing system based on multidimensional data, belonging to the technical field of service data processing; performing staged evaluation on the service state of the service target in the monitoring period by performing simultaneous calculation on various data of different aspects of the service target in the monitoring period; analyzing and evaluating the overall service state of the service target by carrying out simultaneous calculation on service analysis results of all stages of the service target in different monitoring periods; the dynamic sharing of service data of different service targets is realized by calculating and analyzing the local service project influence of the different service targets on different service projects; the method and the device are used for solving the technical problems that the prior scheme cannot implement staged and integral data analysis on different service data and implement dynamic sharing on the service data of different service targets according to the data analysis results of different dimensions.
Description
Technical Field
The invention relates to the technical field of service data processing, in particular to a service data processing sharing system based on multidimensional data.
Background
Services generally refer to a class of activities that provide convenience to each other among members of a society, and can be generally classified as paid, direct or indirect, economic labor services that provide convenience.
In the existing service data processing schemes, when the service data processing schemes are implemented, most of the service data processing schemes still stay on internal data monitoring and data processing, or service level and service quality are improved through regular and irregular communication with the same party, but staged and integral data analysis cannot be implemented on service data with different dimensionalities of monitoring statistics, and dynamic sharing is implemented on service data with different service targets according to data analysis results with different dimensionalities, so that the overall effect of service data processing sharing is poor.
Disclosure of Invention
The invention aims to provide a service data processing sharing system based on multidimensional data, which is used for solving the technical problem that the prior scheme cannot implement staged and integral data analysis on different service data and implement dynamic sharing on the service data of different service targets according to the data analysis results of different dimensions.
The aim of the invention can be achieved by the following technical scheme:
the service data processing and sharing system based on the multidimensional data comprises a stage complaint monitoring and analyzing module, a stage service state monitoring and analyzing module and a data processing module, wherein the stage complaint monitoring and analyzing module is used for monitoring and data analyzing the complaint conditions of different service targets in a monitoring area in a monitoring period to obtain a stage service state monitoring and analyzing set;
the overall complaint monitoring analysis module is used for integrating and analyzing the overall situation of complaints of different service targets in the monitoring area in a plurality of monitoring periods according to the stage service state monitoring analysis set to obtain an overall service state monitoring analysis set; comprising the following steps:
sequentially acquiring all stage service state monitoring analysis data of complaints of different service targets in a monitoring area in N monitoring periods, wherein N is a positive integer, and traversing and counting the total number of one type of stage service tags, two types of stage service tags and three types of stage service tags in the all stage service state monitoring analysis data; sequentially extracting the numerical values of the total number of the first-class stage service tags, the second-class stage service tags and the third-class stage service tags corresponding to different service targets, and obtaining a service state integration coefficient Fz corresponding to the service targets through calculation; analyzing the overall service state of the corresponding service target according to the service state integration coefficient to obtain one-class overall service tag, two-class overall service tag or three-class overall service tag;
the service state integration coefficients of the service targets and the corresponding one-class integral service tags, two-class integral service tags or three-class integral service tags form integral service state monitoring analysis data, and the integral service state monitoring analysis data corresponding to all the service targets form first integral service state monitoring analysis information;
analyzing the overall states of all the service items complained in N monitoring periods of different service targets in the monitoring area in sequence to obtain service item influence coefficients Xy corresponding to the same service item of different service targets; according to the numerical value of the service item influence coefficient, the corresponding service targets are arranged in an ascending order, and the service targets with K bits before arrangement are marked as excellent service item targets; k is a positive integer;
all ordered excellent service item targets corresponding to different service items form second integral service state monitoring analysis information; the first overall service state monitoring analysis information and the second overall service state monitoring analysis information form an overall service state monitoring analysis set and are uploaded to the service supervision sharing platform.
Preferably, the working steps of the stage complaint monitoring and analyzing module include:
different service targets in the monitoring area are acquired, numbered according to a preset sequence and marked as i, i= {1,2,3, … …, n }; n is a positive integer;
when different service targets in a monitoring area are monitored in a monitoring period through a public complaint platform; counting the total number of complaints of different service targets, and the complaint types and complaint channels corresponding to each complaint;
the total number of complaints corresponding to the service target in the monitoring period, and the complaint type and the complaint channel corresponding to each complaint form stage service state monitoring data; the phase service state monitoring data corresponding to all the service targets form a phase service state monitoring data set.
Preferably, when data analysis is performed on the complaint conditions of different service targets in the monitoring period, traversing the service state monitoring data corresponding to the service targets to obtain the corresponding total number of complaints, and the complaint types and complaint channels corresponding to each complaint;
marking the total number of complaints of the service target in the monitoring period as TZi; the corresponding complaint types and complaint channels of each complaint are digitally processed to obtain corresponding complaint type weights and complaint channel weights, and the weights are respectively marked as LQi and QQi;
sequentially extracting the total number of complaints of the corresponding marks of different service targets in the monitoring period, and the values of the complaint type weight and the complaint channel weight corresponding to each complaint type and complaint channel, and passing through a formulaCalculating and acquiring a service state influence coefficient Fy corresponding to a service target; wherein, g1, g2, g3 and g4 are constant coefficients larger than zero, and g1+g2=1; g3+g4=1.
Preferably, when the service state of the corresponding service target in the monitoring period is analyzed and evaluated according to the service state influence coefficient, the service target corresponding to the service state influence coefficient smaller than the service state influence threshold is marked as a stage service target and a stage service label is generated;
marking the service targets corresponding to the service state influence coefficients which are not smaller than the service state influence threshold and not larger than the service state influence threshold by Y% as class II service targets and generating class II service labels; y is a real number greater than one hundred;
marking the service targets corresponding to the service state influence coefficients which are larger than the service state influence threshold Y% as three-class stage service targets and generating three-class stage service labels; the service state influence coefficients of the service targets and the corresponding first-class service tags, second-class service tags or third-class service tags form phase service state monitoring analysis data, and all the phase service state monitoring analysis data corresponding to the service targets in the monitoring period form a phase service state monitoring analysis set which is uploaded to the service monitoring sharing platform.
Preferably, the service state integration coefficient Fz is calculated by the formulaIn the formula, YBZi, EBZi and SBZi are the total number of appearance of one-class phase service tags, two-class phase service tags and three-class phase service tags respectively.
Preferably, when analyzing the overall service state of the corresponding service target according to the service state integration coefficient, marking the service target corresponding to the service state integration coefficient smaller than the minimum value of the service state integration range as an overall service target and generating an overall service label;
marking the service targets corresponding to the service state integration coefficients which are not smaller than the minimum value of the service state integration range and not larger than the maximum value of the service state integration range as second-class integral service targets and generating second-class integral service labels;
and marking the service targets corresponding to the service state integration coefficients larger than the maximum value of the service state integration range as three types of overall service targets and generating three types of overall service labels.
Preferably, the total complaint times of different service targets and the complaint channels and the complaint channel weights corresponding to each time are sequentially obtained according to the complaint service items, the total complaint times of the service items corresponding to the different service targets are marked as LZi, the numerical values of the total complaint times, the complaint type weights and the complaint channel weights of the service items corresponding to the different service targets are sequentially extracted, and the numerical values of the total complaint times, the complaint type weights and the complaint channel weights of the service items corresponding to the different service targets are calculated through a formulaAnd calculating and acquiring service item influence coefficients Xy corresponding to different service targets in the aspect of the same service item.
Preferably, the system further comprises a service data processing sharing management module, which is used for dynamically sharing and pushing the excellent overall service and the excellent service items of different service targets according to the overall service state monitoring analysis set forwarded by the service supervision sharing platform.
Preferably, first overall service state monitoring analysis information and second overall service state monitoring analysis information in the service state monitoring analysis set are acquired;
traversing the first integral service state monitoring analysis information to obtain all the integral service tags and the corresponding integral service targets, simultaneously obtaining all the service management items corresponding to the integral service targets of all the types and the implementation rules of the corresponding items, pushing and prompting the integral service targets of all the types corresponding to the integral service tags of all the types and the integral service targets of all the three types corresponding to the integral service tags of all the types through the service supervision sharing platform, and sharing and utilizing all the services of the integral service state excellent service targets.
Preferably, the second overall service state monitoring analysis information is traversed to obtain all excellent service item targets corresponding to different service items and corresponding item implementation rules, and the item implementation rules corresponding to all the excellent service item targets in the different service items are pushed and prompted to non-excellent service item targets in the corresponding service items in sequence, so that sharing and utilization of the excellent item implementation rules of the excellent service item targets are realized.
Compared with the prior art, the invention has the beneficial effects that:
the invention carries out staged monitoring and data analysis on the services of different service targets in the monitoring area according to the monitoring period, and can provide reliable data support for stage service states of different service targets in different stages and subsequent overall service state analysis; the service states of the service targets in the monitoring period are evaluated in stages by carrying out simultaneous calculation on various data of the service targets in different aspects of the service in the monitoring period, so that the service states in different service target stages can be intuitively and efficiently obtained, reliable data support can be provided for the overall service state analysis of the subsequent service targets, and the diversity and reliability of the stage service data monitoring analysis are improved.
According to the invention, the service analysis results of all stages of the service targets in different monitoring periods are simultaneously calculated to analyze and evaluate the overall service state, so that the expansion and mining of the service analysis results of the service targets in different stages are realized, the extension from local data analysis to overall data analysis is realized, the overall service states of different service targets can be intuitively and efficiently displayed in a classified manner, reliable data support can be provided for the sharing and utilization of the service data of the service targets in different overall state states, and the diversity and reliability of the monitoring and analysis of the service targets in different dimensionalities are improved.
According to the method and the device, the local service project influences of different service targets in different service projects are calculated and analyzed, so that under the condition that service data sharing is implemented subsequently, the sharing pushing of the service targets with excellent overall service states can be implemented, the sharing pushing of the service targets with excellent local service project influence states can be realized, the pushing and the utilization of service data with different dimensions are realized, and the overall effect of service data processing pushing can be effectively improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a service data processing sharing system based on multidimensional data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
as shown in FIG. 1, the invention relates to a service data processing and sharing system based on multidimensional data, which comprises a stage complaint monitoring and analyzing module, an overall complaint monitoring and analyzing module and a service supervision and sharing platform;
the monitoring and analyzing module is used for monitoring and analyzing the complaint conditions of different service targets in the monitoring area in a monitoring period to obtain a monitoring and analyzing set of the stage service state; comprising the following steps:
different service targets in the monitoring area are acquired, numbered according to a preset sequence and marked as i, i= {1,2,3, … …, n }; n is a positive integer; the preset sequence can be ordered according to the time sequence of starting service or according to the initial letters of brand names corresponding to service targets;
the monitoring area can be a ground administrative area, and the service targets can be properties of different brands and residence services; the unit of the monitoring period is quarter;
when different service targets in a monitoring area are monitored in a monitoring period through a public complaint platform; counting the total number of complaints of different service targets, and the complaint types and complaint channels corresponding to each complaint;
the public complaint platform comprises complaint channels with different levels, including but not limited to a service target self complaint platform, a city grade complaint platform and a provincial grade complaint platform, wherein the platforms include but are not limited to web pages and public numbers; the complaint type may be determined from existing property service items including, but not limited to, personnel management item type, funds management item type, security service item type, and quality of service item type;
the total number of complaints corresponding to the service target in the monitoring period, and the complaint type and the complaint channel corresponding to each complaint form stage service state monitoring data; the phase service state monitoring data corresponding to all the service targets form a phase service state monitoring data set;
in the embodiment of the invention, the monitoring period is used for carrying out staged monitoring and data analysis on the services of different service targets in the monitoring area, so that reliable data support can be provided for stage service states of the different service targets in different stages and subsequent overall service state analysis, and the diversity and reliability of service data monitoring analysis are improved.
When data analysis is carried out on the complaint conditions of different service targets in the monitoring period, traversing the service state monitoring data corresponding to the service targets to obtain the corresponding total times of complaints, and the complaint types and complaint channels corresponding to each complaint;
marking the total number of complaints of the service target in the monitoring period as TZi; the corresponding complaint types and complaint channels of each complaint are digitally processed to obtain corresponding complaint type weights and complaint channel weights, and the weights are respectively marked as LQi and QQi;
when the digital processing is carried out on the complaint type and the complaint channel, the complaint type and the complaint channel are respectively traversed and matched with a complaint type-weight table and a complaint channel-weight table which are prestored in the service supervision sharing platform to obtain corresponding complaint type weights and complaint channel weights;
the complaint type-weight table comprises a plurality of different complaint types and corresponding complaint type weights, wherein one corresponding complaint type weight is preset for the different complaint types, the complaint type weights are used for digitally representing the complaint types of the text types, and the specific values of the complaint type weights can be obtained according to the simulation of the historical complaint big data; the complaint channel-weight table comprises a plurality of different complaint channels and corresponding complaint channel weights, wherein the different complaint channels are preset with one corresponding complaint channel weight, the complaint channel weights are used for digitally representing text-type complaint channels, and specific values of the complaint channel weights can be obtained according to historical complaint big data simulation;
sequentially extracting the total number of complaints of the corresponding marks of different service targets in the monitoring period, and the values of the complaint type weight and the complaint channel weight corresponding to each complaint type and complaint channel, and passing through a formulaCalculating and acquiring a service state influence coefficient Fy corresponding to a service target; wherein, g1, g2, g3 and g4 are constant coefficients larger than zero, and g1+g2=1; g3+g4=1; the constant coefficients in the formula can be set by a person skilled in the art according to actual conditions or obtained by a large amount of service data simulation; g1 can take on a value of 0.317, g2 can take on a value of 0.693, g3 can take on a value of 0.452, and g4 can take on a value of 0.548;
it should be noted that, the service state influence coefficient is a numerical value for performing simultaneous calculation on various data of different aspects of service of the service target in the monitoring period to perform a stepwise evaluation on the service state in the monitoring period; the smaller the service state influence coefficient is, the more excellent the staged service state of the corresponding service target is;
when the service states of the corresponding service targets in the monitoring period are analyzed and evaluated according to the service state influence coefficients, marking the service targets corresponding to the service state influence coefficients smaller than the service state influence threshold as a class-stage service target and generating a class-stage service label; the service state influence threshold can be obtained by simulation according to historical complaint big data corresponding to all service targets;
marking the service targets corresponding to the service state influence coefficients which are not smaller than the service state influence threshold and not larger than the service state influence threshold by Y% as class II service targets and generating class II service labels; y is a real number greater than one hundred;
marking the service targets corresponding to the service state influence coefficients which are larger than the service state influence threshold Y% as three-class stage service targets and generating three-class stage service labels;
the service state influence coefficients of the service targets and the corresponding first-class phase service tags, second-class phase service tags or three-class phase service tags form phase service state monitoring analysis data, and all the phase service state monitoring analysis data corresponding to the service targets in the monitoring period form a phase service state monitoring analysis set which is uploaded to the service monitoring sharing platform;
in the embodiment of the invention, the service state influence coefficient is obtained by carrying out simultaneous calculation on various data of different aspects of service of the service target in the monitoring period, and the service state of the service target in the monitoring period is evaluated in stages according to the service state influence coefficient, so that the service states in different service target stages can be intuitively and efficiently obtained, and reliable data support can be provided for the overall service state analysis of the subsequent service target; the diversity and reliability of monitoring and analyzing the stage service data are improved.
The overall complaint monitoring analysis module is used for integrating and analyzing the overall situation of complaints of different service targets in the monitoring area in a plurality of monitoring periods according to the stage service state monitoring analysis set to obtain an overall service state monitoring analysis set; comprising the following steps:
sequentially acquiring all stage service state monitoring analysis data of complaints of different service targets in a monitoring area in N monitoring periods, wherein N is a positive integer, a specific value is 4, and the total number of one type of stage service tags, two types of stage service tags and three types of stage service tags in all stage service state monitoring analysis data is calculated in a traversing manner and is respectively set as a first tag total number YBZi, a second tag total number EBZi and a third tag total number SBZi;
sequentially extracting the values of the first label total number, the second label total number and the third label total number corresponding to different service targets, and passing through a formulaCalculating and acquiring a service state integration coefficient Fz corresponding to a service target;
it should be noted that, the service state integration coefficient is a numerical value for analyzing and evaluating the overall service state of the service target by combining the service analysis results of all stages in different monitoring periods; the larger the service state integration coefficient is, the more excellent the overall service state of the corresponding service target is;
when analyzing the overall service state of the corresponding service target according to the service state integration coefficient, marking the service target corresponding to the service state integration coefficient smaller than the minimum value of the service state integration range as an overall service target and generating an overall service label; the service state integration range can be obtained by simulation according to the historical complaint big data corresponding to all the service targets;
marking the service targets corresponding to the service state integration coefficients which are not smaller than the minimum value of the service state integration range and not larger than the maximum value of the service state integration range as second-class integral service targets and generating second-class integral service labels;
marking the service targets corresponding to the service state integration coefficients larger than the maximum value of the service state integration range as three types of integral service targets and generating three types of integral service labels;
the service state integration coefficients of the service targets and the corresponding one-class integral service tags, two-class integral service tags or three-class integral service tags form integral service state monitoring analysis data, and the integral service state monitoring analysis data corresponding to all the service targets form first integral service state monitoring analysis information;
in the embodiment of the invention, the service state integration coefficient is obtained by carrying out simultaneous calculation on the service analysis results of all stages of the service targets in different monitoring periods, and the overall service state of the service targets is analyzed and evaluated according to the service state integration coefficient, so that the expansion and mining of the service analysis results of the service targets in different stages are realized, the expansion from local data analysis to overall data analysis is realized, the overall service states of different service targets can be intuitively and efficiently classified and displayed, reliable data support can be provided for the service data sharing and utilization of the service targets in subsequent different overall state states, and the diversity and reliability of the monitoring and analysis of the service targets in different dimensions are improved.
When analyzing the local states of different service items of different service targets complained in N monitoring periods in sequence, acquiring the total complaint times of the different service targets and the corresponding complaint channels and complaint channel weights of each time according to the complaint service items, marking the total complaint times of the service items corresponding to the different service targets as LZi, sequentially extracting the values of the total complaint times, the complaint type weights and the complaint channel weights of the service items corresponding to the different service targets, and passing through the formulaCalculating and acquiring service item influence coefficients Xy corresponding to different service targets in the aspect of the same service item;
it should be noted that, the service item influence coefficient is a numerical value for performing simultaneous calculation on each item of data complained about the same service item by different service targets to perform overall evaluation on the local service item influence of the service targets;
according to the numerical value of the service item influence coefficient, the corresponding service targets are arranged in an ascending order, and the service targets with K bits before arrangement are marked as excellent service item targets; k is a positive integer;
all ordered excellent service item targets corresponding to different service items form second integral service state monitoring analysis information; the first overall service state monitoring analysis information and the second overall service state monitoring analysis information form an overall service state monitoring analysis set and are uploaded to the service supervision sharing platform.
According to the embodiment of the invention, the local service project influences of different service targets in different service projects are calculated and analyzed, so that under the condition of implementing service data sharing subsequently, the sharing pushing of the service targets with excellent overall service states can be implemented, the sharing pushing of the service targets with excellent local service project influence states can be realized, the pushing and the utilization of service data with different dimensionalities are realized, and the overall effect of service data processing pushing can be effectively improved.
Embodiment two:
on the basis of the first embodiment, the method further comprises the following steps:
the service data processing sharing management module is used for dynamically sharing and pushing prompt on excellent overall service and excellent service items of different service targets according to the overall service state monitoring analysis set forwarded by the service supervision sharing platform; comprising the following steps:
acquiring first overall service state monitoring analysis information and second overall service state monitoring analysis information in a service state monitoring analysis set;
traversing the first integral service state monitoring analysis information to obtain all kinds of integral service labels and corresponding kinds of integral service targets, and simultaneously obtaining all service management items corresponding to all kinds of integral service targets and corresponding item implementation rules and marking the service management items and the item implementation rules as shared service management items and shared item implementation rules respectively;
pushing and prompting all shared service management items corresponding to all types of integral service targets and implementation rules of the shared items to two types of integral service targets corresponding to all types of integral service tags and three types of integral service targets corresponding to all types of integral service tags through a service supervision sharing platform, so as to realize sharing and utilization of all services of the integral service state excellent service targets;
and traversing the second integral service state monitoring analysis information to obtain all excellent service item targets and corresponding item implementation rules corresponding to different service items, and pushing and prompting non-excellent service item targets in the corresponding service items sequentially by the item implementation rules corresponding to all the excellent service item targets in the different service items, so as to realize sharing and utilization of the excellent item implementation rules of the excellent service item targets.
It is understood that the service object with the excellent overall service state does not represent that all the service items thereof are in the optimal state, but the overall service state of the service object corresponding to the excellent service item object may be in the normal state, but the service object may include one service item in the excellent state, and by implementing the sharing and utilization of all the services of the excellent service object in the overall service state and the sharing and utilization of the excellent item implementation rules of the excellent service item object, the sharing and utilization of the different dimensions may be implemented for the service data processing from different dimensions, thereby improving the diversity and comprehensiveness of the data processing sharing.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula closest to the actual situation obtained by collecting a large amount of data and performing software simulation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. The service data processing and sharing system based on the multidimensional data is characterized by comprising a stage complaint monitoring and analyzing module, a stage service state monitoring and analyzing module and a data processing module, wherein the stage complaint monitoring and analyzing module is used for monitoring and data analyzing the complaint of different service targets in a monitoring area in a monitoring period to obtain a stage service state monitoring and analyzing set; comprising the following steps:
sequentially extracting the total number TZi of complaints of the corresponding marks of different service targets in the monitoring period, and the numerical values of the complaint type weight LQi and the complaint channel weight QQi corresponding to each complaint type and complaint channel, and passing through the formulaCalculating and acquiring a service state influence coefficient Fy corresponding to a service target; wherein, g1, g2, g3 and g4 are constant coefficients larger than zero, and g1+g2=1; g3+g4=1;
when the service states of the corresponding service targets in the monitoring period are analyzed and evaluated according to the service state influence coefficients, marking the service targets corresponding to the service state influence coefficients smaller than the service state influence threshold as a class-stage service target and generating a class-stage service label;
marking the service targets corresponding to the service state influence coefficients which are not smaller than the service state influence threshold and not larger than the service state influence threshold by Y% as class II service targets and generating class II service labels; y is a real number greater than one hundred;
marking the service targets corresponding to the service state influence coefficients which are larger than the service state influence threshold Y% as three-class stage service targets and generating three-class stage service labels; the service state influence coefficients of the service targets, the corresponding first-class phase service tags, the second-class phase service tags and the third-class phase service tags form phase service state monitoring analysis data, and all the phase service state monitoring analysis data corresponding to the service targets in the monitoring period form a phase service state monitoring analysis set which is uploaded to the service monitoring sharing platform;
the overall complaint monitoring analysis module is used for integrating and analyzing the overall situation of complaints of different service targets in the monitoring area in a plurality of monitoring periods according to the stage service state monitoring analysis set to obtain an overall service state monitoring analysis set; comprising the following steps:
sequentially acquiring all stage service state monitoring analysis data of complaints of different service targets in a monitoring area in N monitoring periods, wherein N is a positive integer, and traversing and counting the total number of one type of stage service tags, two types of stage service tags and three types of stage service tags in the all stage service state monitoring analysis data; sequentially extracting the numerical values of the total number of the first-class stage service tags, the second-class stage service tags and the third-class stage service tags corresponding to different service targets, and obtaining a service state integration coefficient Fz corresponding to the service targets through calculation; analyzing the overall service state of the corresponding service target according to the service state integration coefficient to obtain one-class overall service tag, two-class overall service tag or three-class overall service tag;
the service state integration coefficients of the service targets, the corresponding one-class integral service tags, the corresponding two-class integral service tags and the corresponding three-class integral service tags form integral service state monitoring analysis data, and the integral service state monitoring analysis data corresponding to all the service targets form first integral service state monitoring analysis information;
analyzing the overall states of all the service items complained in N monitoring periods of different service targets in the monitoring area in sequence, and acquiring different services according to the complained service items in sequenceThe total number of complaints of the targets and the corresponding complaint channel and complaint channel weight each time are marked as LZi, the numerical values of the total number of complaints, the complaint type weight and the complaint channel weight of the corresponding service items of different service targets are sequentially extracted, and the numerical values of the total number of complaints, the complaint type weight and the complaint channel weight of the corresponding service items of different service targets are calculated through the formulaCalculating and acquiring service item influence coefficients Xy corresponding to different service targets in the aspect of the same service item; according to the numerical value of the service item influence coefficient, the corresponding service targets are arranged in an ascending order, and the service targets with K bits before arrangement are marked as excellent service item targets; k is a positive integer;
all ordered excellent service item targets corresponding to different service items form second integral service state monitoring analysis information; the first overall service state monitoring analysis information and the second overall service state monitoring analysis information form an overall service state monitoring analysis set and are uploaded to the service supervision sharing platform.
2. The multi-dimensional data based service data processing sharing system of claim 1, wherein the working steps of the stage complaint monitoring analysis module include:
different service targets in the monitoring area are acquired, numbered according to a preset sequence and marked as i, i= {1,2,3, … …, n }; n is a positive integer;
when the condition that different service targets in a monitoring area are complained in a monitoring period is monitored through a public complaint platform, counting the total number of times that the different service targets are complained, and the complaint type and the complaint channel corresponding to each complaint;
the total number of complaints corresponding to the service target in the monitoring period, and the complaint type and the complaint channel corresponding to each complaint form stage service state monitoring data; the phase service state monitoring data corresponding to all the service targets form a phase service state monitoring data set.
3. The service data processing and sharing system based on multidimensional data according to claim 2, wherein when data analysis is performed on the complaints of different service targets in a monitoring period, the service state monitoring data corresponding to the service targets are traversed to obtain the total number of corresponding complaints and the complaint types and complaint channels corresponding to each complaint;
marking the total number of complaints of the service target in the monitoring period as TZi; and the corresponding complaint type and complaint channel are digitally processed to obtain the corresponding complaint type weight and complaint channel weight, and the weights are respectively marked as LQi and QQi.
4. The service data processing sharing system based on multidimensional data according to claim 1, wherein the calculation formula of the service state integration coefficient Fz isThe method comprises the steps of carrying out a first treatment on the surface of the In the formula, YBZi, EBZi and SBZi are the total number of appearance of one-class phase service tags, two-class phase service tags and three-class phase service tags respectively.
5. The service data processing and sharing system based on multidimensional data according to claim 4, wherein when analyzing the overall service state of the corresponding service target according to the service state integration coefficient, the service target corresponding to the service state integration coefficient smaller than the minimum value of the service state integration range is marked as an overall service target and an overall service label is generated;
marking the service targets corresponding to the service state integration coefficients which are not smaller than the minimum value of the service state integration range and not larger than the maximum value of the service state integration range as second-class integral service targets and generating second-class integral service labels;
and marking the service targets corresponding to the service state integration coefficients larger than the maximum value of the service state integration range as three types of overall service targets and generating three types of overall service labels.
6. The service data processing sharing system based on multidimensional data according to claim 1, further comprising a service data processing sharing management module for dynamically sharing and pushing the excellent overall service and the excellent service items of different service targets according to the overall service status monitoring analysis set forwarded by the service supervision sharing platform.
7. The multi-dimensional data based service data processing sharing system according to claim 6, wherein the first and second integrated service state monitoring analysis information in the service state monitoring analysis set are acquired;
traversing the first integral service state monitoring analysis information to obtain all the integral service tags and the corresponding integral service targets, simultaneously obtaining all the service management items corresponding to the integral service targets of all the types and the implementation rules of the corresponding items, pushing and prompting the integral service targets of all the types corresponding to the integral service tags of all the types and the integral service targets of all the three types corresponding to the integral service tags of all the types through the service supervision sharing platform, and sharing and utilizing all the services of the integral service state excellent service targets.
8. The service data processing sharing system based on multidimensional data according to claim 7, wherein the second overall service status monitoring analysis information is traversed to obtain all excellent service item targets and corresponding item implementation rules corresponding to different service items, and the item implementation rules corresponding to all the excellent service item targets in the different service items are sequentially pushed and presented to non-excellent service item targets in the corresponding service items, so that sharing and utilization of the excellent item implementation rules of the excellent service item targets are realized.
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