CN114202138A - Online channel operation assessment method based on multidimensional data analysis - Google Patents
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Abstract
An online channel operation assessment method based on multidimensional data analysis comprises operation status research and analysis, data processing and analysis, index monitoring system establishment and optimization promotion strategy formulation. The method comprises the steps of collecting operation data for analysis by combing the types and the differences of the on-line service channels established by enterprises at present, mastering the current operation situations of the number of registered users, the number of active users, service handling details and the like of each channel, deducing key indexes closely related and adaptive to requirements, and constructing an on-line channel operation monitoring index system; the method constructs a channel key index monitoring system, monitors and masters the operation condition and strategy implementation effect of each channel in a period of time, improves the data analysis efficiency and real-time performance of related managers, and is favorable for improving the informatization level of on-line channel data management; the method constructs a channel operation promotion strategy, makes a differentiated operation optimization promotion strategy, and supports the lean promotion management of the channel operation on the line.
Description
Technical Field
The invention relates to the field of data analysis, calculation and evaluation methods, in particular to an operation evaluation method for monitoring, analyzing and managing on-line channels of a power system based on multidimensional data analysis.
Background
At present, with the gradual development and popularization of national power grids, the social and economic form change brought by the follow-up research on the internet plus establishes an intelligent and interactive online service system, which is an external requirement for adapting to the demand change trend of power customers, promoting the expansion of a novel service mode and improving the power consumption service experience of the power customers, and is an internal power for adapting to a new normal state of a power grid enterprise and realizing friendly interaction and mutual coordination of power supplies, power grids and power customer resources.
The term "internet +" refers to a new state developed from the internet under the promotion of innovation 2.0 (innovative form of information age and knowledge society), and also to a new state developed and promoted from the internet form under the promotion of innovation 2.0 of knowledge society. The internet plus is simply the internet plus the traditional industry, and with the development of science and technology, the internet and the traditional industry are fused by utilizing information and an internet platform, and a new development opportunity is created by utilizing the advantages and the characteristics of the internet. The internet + optimizes, upgrades and transforms the traditional industry through the advantages of the internet + and enables the traditional industry to adapt to new development, thereby finally promoting the society to continuously develop forward.
In the field of power systems, the construction of an online service channel is highly emphasized by a national power grid, and the online service channel is required to be continuously popularized and operated. The national power grid is mainly provided in 2020 marketing work, service channel digitization is promoted, online national network APP, a three-type intelligent business hall and third party online channel digitization service information sharing are promoted, online payment digitization value-added service is made, and online national network newly-added registered customers are definitely required to break through 8000 ten thousands of households, and monthly active customers break through 3000 ten thousands of households. A considerable number of online service channels, such as an online national grid, a wechat public number, a pay-for-life number, an online special window and the like, are built in a national grid, and the utilization rate of the online service channels is gradually increased.
However, as the data comparison of the operation conditions of each online service channel in the prior art finds that the data comparison has a disadvantage of large difference, the method mainly comprises the following steps:
1. the conditions of less customer use and poor experience of part of online service channels still exist;
2. the online service channel is difficult to carry out multi-dimensional and fine monitoring on the operation condition of the online channel, the weak link of channel operation cannot be mastered, and the channel operation promotion strategy is difficult to be formulated in time;
3. the online service channel cannot support the work development of channel construction and decision improvement.
In summary, there is an urgent need for a novel online channel operation assessment method, which can effectively solve the above problems.
Disclosure of Invention
In order to solve the problems, the invention provides an online channel operation evaluation method based on multidimensional data analysis, the online channel operation evaluation method can comprehensively master the construction and operation conditions of online service channels of a company, the function difference of each channel is determined, the refined monitoring and analysis of each online service channel can be realized, the operation level of the online service channel is improved, data support can be provided for online channel construction and optimization decision, and the online channel operation evaluation method promotes the marketing digitization transformation of the company, accumulates experience for the intelligent development of the service channels, and assists the company in constructing energy internet enterprises with international leading Chinese characteristics.
The invention discloses an online channel operation evaluation method based on multidimensional data analysis, which comprises the following specific steps:
an online channel operation assessment method based on multidimensional data analysis comprises operation status research and analysis, data processing and analysis, index monitoring system establishment and optimization promotion strategy formulation, and comprises the following specific steps:
1) research and analysis of current operating situation:
the method comprises the following steps of carrying out analysis on the operation current situation of each channel, mastering the service type distribution and the number analysis of registered users of each channel, and clearly determining which online channels are important popularization objects of a company, wherein a plurality of dimensionality comprehensive evaluations of service handling types, the number of registered users, service handling amounts, client hotspot complaints and service handling amount conditions are selected in the step, so that the operation current situation of the online channels can be comprehensively mastered, and the method specifically comprises the following steps:
1.1) service transaction type: displaying the distribution condition of each channel business type in a period of time;
1.2) number of registered users: displaying the number increase condition of registered users of each channel in a period of time so as to determine the current customer cognitive degree of each online channel;
1.3) transaction amount: displaying the service payment acceptance amount condition of each channel within a period of time so as to determine the current use condition of each online channel;
1.4) client hotspot appeal: displaying client appeal conditions of each channel within a period of time, thereby supporting targeted service strategy formulation;
1.5) traffic handling capacity: the method mainly comprises the steps of mainly displaying the handling quantity condition of each service type of each channel in a period of time so as to master the current use condition of each online channel;
2) and (3) data processing and analysis:
the online channel operation monitoring index data selected in the step are respectively from data of a marketing business system and an online service channel, the data needs to be analyzed for data front-end acquisition and processing, data processing depth, data mining capacity, updatability and intelligent expansion, and after multi-professional data integration and fusion technology, an efficient data processing framework, a retrieval processing and retrieval optimization engine and a non-key-value attribute rapid retrieval processing technology are researched and used, the rapid retrieval data analysis function capable of supporting mass electricity charge data is realized, and the functional analysis and the effective application of multi-source mass heterogeneous data are realized.
The online channel operation evaluation method based on multidimensional data analysis of the invention realizes automatic analysis and processing of online channel operation index data, including trend analysis of business handling amount, monitoring and analysis of active user amount, and the like. By regularly extracting the latest operation data of the related system and carrying out data classification and processing, the real-time display and analysis of the operation data of the online channel are realized.
3) Establishing an index monitoring system:
in the step, through analyzing each factor influencing the operation of the online channel one by one, on the basis of deeply analyzing each index data and listening to related expert opinions, three major index analysis dimensions of service monitoring, client monitoring and appeal monitoring are selected, and each dimension comprises subdivided operation monitoring indexes, so that a multidimensional index monitoring system is constructed to realize multidimensional display and monitoring of the online channel operation, and the method specifically comprises the following steps:
3.1) service monitoring: displaying and analyzing service acceptance quantity trend monitoring, payment amount trend monitoring, service acceptance type change trend monitoring, channel activity special item monitoring and newly added service special item monitoring of each online channel;
3.2) customer monitoring: displaying, analyzing and monitoring the number trend of the registered users and the number trend of the access users;
3.3) appeal monitoring: displaying client hotspot appeal monitoring;
the design aim is that because the online channel operation condition evaluation comprises various index data, the single analysis of the number of registered users can not meet the requirement of online channel operation monitoring, the online channel operation related indexes are comprehensively selected for displaying and analyzing, and the online channel operation current situation is reflected by means of the data.
4) And (3) optimizing and promoting strategy formulation:
in this step, the formulated optimization and promotion strategy is divided into three parts: external function optimization, internal guarantee improvement and other requirements, and the specific method of each part is as follows:
4.1) external function optimization: after fully researching the function distribution of each online channel and the client hotspot requirements, an external function optimization promotion strategy is proposed, wherein the strategy comprises the steps of classifying and positioning target clients and service contents, quitting the service function with practicability and interestingness, and meeting the client requirements;
4.2) internal guarantee is perfect: after an online channel operation short board is fully researched, an internal guarantee improvement strategy is provided, and the internal guarantee improvement strategy comprises the steps of establishing an independent operation support team, establishing a unified information management platform, optimizing a normal state analysis and evaluation mechanism and the like;
4.3) other requirements: and establishing a targeted promotion strategy in batches and stages according to the conditions responded by the data analysis of each stage and the client hotspot demands.
The design aim is to make a specific online channel optimization and promotion strategy by referring to advanced operation design theories of other industries and combining the characteristics of the power industry after the value evaluation of all indexes in a system is completed.
The invention discloses an online channel operation evaluation method based on multidimensional data analysis, which mainly adopts the technical scheme that an enterprise cannot pertinently make a special promotion strategy due to online service channel monitoring vacancy, and an online service channel operation monitoring system is constructed in order to solve the problems in the prior art. Enterprises can supervise and check various task indexes through an operation monitoring system, thereby discovering weak links of enterprise business operation, formulating targeted improvement measures and effectively improving the comprehensive level of the enterprises on business management. In addition, by constructing a refined operation monitoring system of the online service channels, the invention realizes the refined monitoring and analysis of the online service channels, comprehensively masters the construction and operation conditions of the online service channels of the company, determines the function difference of the channels, precisely positions the weak operation links and customizes the improved differentiated strategies. The health, the persistence and the high-efficiency operation of the business of each channel are promoted by a standardized and normalized management means.
The online channel operation evaluation method based on multidimensional data analysis of the invention has the following beneficial effects:
1. the online channel operation assessment method based on multidimensional data analysis analyzes the function difference of each channel by combing the types of online service channels established by enterprises at present, collects the operation data of each channel for multidimensional analysis, and grasps the operation current situations such as the number of registered users, the number of active users, service handling details and the like of each channel, thereby deducing key indexes closely related and adaptive to the demand and constructing an online channel operation monitoring index system;
2. the online channel operation assessment method based on multidimensional data analysis can construct a channel key index monitoring system, carry out multidimensional and omnibearing quantitative value assessment on each online channel of an enterprise, determine that the enterprise can monitor and master the operation condition and strategy implementation effect of each channel in a period, improve the data analysis efficiency and real-time performance of related managers, and be beneficial to improving the informatization level of online channel data management;
3. the on-line channel operation evaluation method based on the multidimensional data analysis can reference operation modes in other fields, enhance analysis of on-line channel short boards, construct channel operation promotion strategies, formulate differentiated operation optimization promotion strategies, support on-line channel operation proficiency promotion management, and further promote customer service satisfaction.
Drawings
FIG. 1 is a step diagram of an embodiment of an online channel operation assessment method based on multidimensional data analysis according to the present invention;
fig. 2 is a schematic diagram of an online channel operation key monitoring index system in the online channel operation assessment method based on multidimensional data analysis.
Detailed Description
The on-line channel operation assessment method based on multidimensional data analysis according to the present invention is further described with reference to the accompanying drawings and embodiments.
Examples
As shown in fig. 1 to 2, an online channel operation assessment method based on multidimensional data analysis includes operation status research and analysis, data processing and analysis, establishment of an index monitoring system, and establishment of an optimization and promotion strategy, and includes the following specific steps:
1) research and analysis of current operating situation:
the method comprises the following steps of carrying out analysis on the operation current situation of each channel, mastering the service type distribution and the number analysis of registered users of each channel, and clearly determining which online channels are important popularization objects of a company, wherein a plurality of dimensionality comprehensive evaluations of service handling types, the number of registered users, service handling amounts, client hotspot complaints and service handling amount conditions are selected in the step, so that the operation current situation of the online channels can be comprehensively mastered, and the method specifically comprises the following steps:
1.1) service transaction type: displaying the distribution condition of each channel business type in a period of time;
1.2) number of registered users: displaying the number increase condition of registered users of each channel in a period of time so as to determine the current customer cognitive degree of each online channel;
1.3) transaction amount: displaying the service payment acceptance amount condition of each channel within a period of time so as to determine the current use condition of each online channel;
1.4) client hotspot appeal: displaying client appeal conditions of each channel within a period of time, thereby supporting targeted service strategy formulation;
1.5) traffic handling capacity: the method mainly comprises the steps of mainly displaying the handling quantity condition of each service type of each channel in a period of time so as to master the current use condition of each online channel;
2) and (3) data processing and analysis:
the online channel operation monitoring index data selected in the step are respectively from data of a marketing business system and an online service channel, the data needs to be analyzed for data front-end acquisition and processing, data processing depth, data mining capacity, updatability and intelligent expansion, and after multi-professional data integration and fusion technology, an efficient data processing framework, a retrieval processing and retrieval optimization engine and a non-key-value attribute rapid retrieval processing technology are researched and used, the rapid retrieval data analysis function capable of supporting mass electricity charge data is realized, and the functional analysis and the effective application of multi-source mass heterogeneous data are realized.
3) Establishing an index monitoring system:
in the step, through analyzing each factor influencing the operation of the online channel one by one, on the basis of deeply analyzing each index data and listening to related expert opinions, three major index analysis dimensions of service monitoring, client monitoring and appeal monitoring are selected, and each dimension comprises subdivided operation monitoring indexes, so that a multidimensional index monitoring system is constructed to realize multidimensional display and monitoring of the online channel operation, and the method specifically comprises the following steps:
in this embodiment, the specifically selected online channel operation multidimensional display analysis index is as shown in fig. 2, and the specific display analysis content of each large category of analysis dimensions is as follows:
3.1) service monitoring: displaying and analyzing service acceptance quantity trend monitoring, payment amount trend monitoring, service acceptance type change trend monitoring, channel activity special item monitoring and newly added service special item monitoring of each online channel;
3.2) customer monitoring: displaying, analyzing and monitoring the number trend of the registered users and the number trend of the access users;
3.3) appeal monitoring: displaying client hotspot appeal monitoring;
4) and (3) optimizing and promoting strategy formulation:
in this step, the formulated optimization and promotion strategy is divided into three parts: external function optimization, internal guarantee improvement and other requirements, and the specific method of each part is as follows:
4.1) external function optimization: after fully researching the function distribution of each online channel and the client hotspot requirements, an external function optimization promotion strategy is proposed, wherein the strategy comprises the steps of classifying and positioning target clients and service contents, quitting the service function with practicability and interestingness, and meeting the client requirements;
4.2) internal guarantee is perfect: after an online channel operation short board is fully researched, an internal guarantee improvement strategy is provided, and the internal guarantee improvement strategy comprises the steps of establishing an independent operation support team, establishing a unified information management platform, optimizing a normal state analysis and evaluation mechanism and the like;
4.3) other requirements: and establishing a targeted promotion strategy in batches and stages according to the conditions responded by the data analysis of each stage and the client hotspot demands.
The online channel operation assessment method based on multidimensional data analysis analyzes the function difference of each channel by combing the types of online service channels established by enterprises at present, collects the operation data of each channel for multidimensional analysis, and grasps the operation current situations such as the number of registered users, the number of active users, service handling details and the like of each channel, thereby deducing key indexes closely related and adaptive to the demand and constructing an online channel operation monitoring index system; the online channel operation assessment method based on multidimensional data analysis can construct a channel key index monitoring system, carry out multidimensional and omnibearing quantitative value assessment on each online channel of an enterprise, determine that the enterprise can monitor and master the operation condition and strategy implementation effect of each channel in a period, improve the data analysis efficiency and real-time performance of related managers, and be beneficial to improving the informatization level of online channel data management; in addition, the online channel operation evaluation method based on the multidimensional data analysis can refer to operation modes in other fields, enhance the analysis of online channel short boards, construct a channel operation promotion strategy, formulate a differentiated operation optimization promotion strategy, support online channel operation lean promotion management, and further promote customer service satisfaction.
The online channel operation assessment method based on multidimensional data analysis is suitable for the operation assessment field of monitoring, analyzing and managing online channels of domestic power systems.
Claims (1)
1. An online channel operation assessment method based on multidimensional data analysis comprises operation status research and analysis, data processing and analysis, index monitoring system establishment and optimization promotion strategy formulation, and comprises the following specific steps:
1) research and analysis of current operating situation:
the method comprises the following steps of carrying out analysis on the operation current situation of each channel, mastering the service type distribution and the number analysis of registered users of each channel, and clearly determining which online channels are important popularization objects of a company, wherein a plurality of dimensionality comprehensive evaluations of service handling types, the number of registered users, service handling amounts, client hotspot complaints and service handling amount conditions are selected in the step, so that the operation current situation of the online channels can be comprehensively mastered, and the method specifically comprises the following steps:
1.1) service transaction type: displaying the distribution condition of each channel business type in a period of time;
1.2) number of registered users: displaying the number increase condition of registered users of each channel in a period of time so as to determine the current customer cognitive degree of each online channel;
1.3) transaction amount: displaying the service payment acceptance amount condition of each channel within a period of time so as to determine the current use condition of each online channel;
1.4) client hotspot appeal: displaying client appeal conditions of each channel within a period of time, thereby supporting targeted service strategy formulation;
1.5) traffic handling capacity: the method mainly comprises the steps of mainly displaying the handling quantity condition of each service type of each channel in a period of time so as to master the current use condition of each online channel;
2) and (3) data processing and analysis:
the online channel operation monitoring index data selected in the step are respectively from data of a marketing business system and an online service channel, the data needs to be analyzed for data front-end acquisition and processing, data processing depth, data mining capacity, updatability and intelligent expansion, and after multi-professional data integration and fusion technology, an efficient data processing framework, a retrieval processing and retrieval optimization engine and a non-key-value attribute rapid retrieval processing technology are researched and used, the rapid retrieval data analysis function capable of supporting mass electricity charge data is realized, and the functional analysis and the effective application of multi-source mass heterogeneous data are realized.
3) Establishing an index monitoring system:
in the step, through analyzing each factor influencing the operation of the online channel one by one, on the basis of deeply analyzing each index data and listening to related expert opinions, three major index analysis dimensions of service monitoring, client monitoring and appeal monitoring are selected, and each dimension comprises subdivided operation monitoring indexes, so that a multidimensional index monitoring system is constructed to realize multidimensional display and monitoring of the online channel operation, and the method specifically comprises the following steps:
3.1) service monitoring: displaying and analyzing service acceptance quantity trend monitoring, payment amount trend monitoring, service acceptance type change trend monitoring, channel activity special item monitoring and newly added service special item monitoring of each online channel;
3.2) customer monitoring: displaying, analyzing and monitoring the number trend of the registered users and the number trend of the access users;
3.3) appeal monitoring: displaying client hotspot appeal monitoring;
4) and (3) optimizing and promoting strategy formulation:
in this step, the formulated optimization and promotion strategy is divided into three parts: external function optimization, internal guarantee improvement and other requirements, and the specific method of each part is as follows:
4.1) external function optimization: after fully researching the function distribution of each online channel and the client hotspot requirements, an external function optimization promotion strategy is proposed, wherein the strategy comprises the steps of classifying and positioning target clients and service contents, quitting the service function with practicability and interestingness, and meeting the client requirements;
4.2) internal guarantee is perfect: after an online channel operation short board is fully researched, an internal guarantee improvement strategy is provided, and the internal guarantee improvement strategy comprises the steps of establishing an independent operation support team, establishing a unified information management platform, optimizing a normal state analysis and evaluation mechanism and the like;
4.3) other requirements: and establishing a targeted promotion strategy in batches and stages according to the conditions responded by the data analysis of each stage and the client hotspot demands.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114444984A (en) * | 2022-04-11 | 2022-05-06 | 深圳市度易科技有限公司 | Remote education-based school internal and external management system |
| CN115204716A (en) * | 2022-07-27 | 2022-10-18 | 武汉嘉越似锦文化传媒有限公司 | Network space risk data stream detection and early warning method, system and computer storage medium |
| CN116822754A (en) * | 2023-08-30 | 2023-09-29 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
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2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114444984A (en) * | 2022-04-11 | 2022-05-06 | 深圳市度易科技有限公司 | Remote education-based school internal and external management system |
| CN115204716A (en) * | 2022-07-27 | 2022-10-18 | 武汉嘉越似锦文化传媒有限公司 | Network space risk data stream detection and early warning method, system and computer storage medium |
| CN116822754A (en) * | 2023-08-30 | 2023-09-29 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
| CN116822754B (en) * | 2023-08-30 | 2023-12-15 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
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