Telecommunication operation organization capability optimization method and optimization system

Abstract

The invention discloses an optimization method and an optimization system for telecom operation organization capability, and belongs to the technical field of electric digital data management, and the optimization method comprises the steps: obtaining historical data of a telecom operation organization; obtaining dimensions of business development and indexes of the dimensions; calculating a polarization value of the index and a polarization value of the dimension according to the historical data; and obtaining a short plate dimension or a dominant dimension according to the polarization value and the average value of the dimensions. Analyzing and calculating historical data to obtain polarization values of the indexes, classifying the indexes, and deducing polarization values of related dimensions; and evaluating a single grid according to the average value of the plurality of grids, exploring the short plate dimension or the advantage dimension of the grid, and providing guidance for the capability development of the grid.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data management, and in particular to a method and system for optimizing telecommunication operation organization capability. Background Art

[0002] As the digital operation transformation advances in depth, a grid-based organizational system for the operation and production of city and county (district) branches has been formed, and the organizational system is divided into multiple grids. However, there are still many problems in improving the grid system, optimizing the incentive mechanism, and digitally empowering the front line. For example, there is a lack of unified evaluation and quantification methods for operations and operations. Each grid operates independently, making it difficult to discover the strengths and weaknesses of grid operations and services. It is difficult to meet the optimization of telecommunications operation organizations and the high-quality development of grids. Summary of the invention

[0003] In view of the above technical problems existing in the prior art, the present invention provides a method and system for optimizing the capabilities of telecommunication operation organizations, which can discover the shortcomings of grid operation and service capabilities through analysis of operation data.

[0004] The present invention discloses a method for optimizing the capabilities of a telecommunications operating organization, comprising the following steps: obtaining historical data of the telecommunications operating organization; obtaining dimensions of business development and indicators of the dimensions; calculating polarization values ​​of the indicators and polarization values ​​of the dimensions based on the historical data; and obtaining short board dimensions or advantage dimensions based on the polarization values ​​and average values ​​of the dimensions.

[0005] Preferably, the dimensions include any one of the following capabilities or a combination thereof: quantity, quality, structure, effectiveness and execution;

[0006] The quantity includes any one of the following indicators or a combination thereof: mobile network development, 5G development, broadband development, converged development and financial development;

[0007] The quality includes any of the following indicators or their combination: the proportion of "three-no" users, the quality of newly developed users, the retention of existing users and the quality of outbound calls;

[0008] The structure includes any one of the following indicators or a combination thereof: 5G services, converged services and financial development;

[0009] The effectiveness includes any one or a combination of the following indicators: sales, retention, and action;

[0010] The execution capability includes any one of the following indicators or a combination thereof: market information collection, order processing, installation and commissioning, daily maintenance, channel management, and community management.

[0011] Preferably, the indicators include positive indicators and negative indicators;

[0012] The calculation formula of the polarization value of the positive index is expressed as:

[0013] V1 = (x-min) / (max-min);

[0014] Among them, V1 represents the polarization value of the positive indicator, x represents the indicator value, min represents the minimum value of the indicator, and max represents the maximum value of the indicator;

[0015] The calculation formula of the polarization value of the negative indicator is expressed as:

[0016] V2 = (max-x) / (max-min);

[0017] Among them, V2 represents the polarization value of the negative indicator.

[0018] Preferably, the method for calculating the dimensional polarization value includes:

[0019]

[0020] Among them, V t It is represented by the dimension polarization value, i represents the index number, n represents the total number of indicators, and v i Expressed as the polarization value of the i-th index, θ i It is represented as the weight of the i-th indicator.

[0021] Preferably, the method for generating a dimensional radar chart includes:

[0022] Based on the polarization value and the average value of the dimension, a dimensional radar chart is generated, wherein the dimensional radar chart includes an average value indicator line and a polarization value indicator line;

[0023] Generate a radar chart of indicators based on the polarization value and average value of the indicators in the dimension;

[0024] Set the radar chart of the indicator outside the corresponding dimension.

[0025] Preferably, the method for calculating the comprehensive capability of a grid includes:

[0026]

[0027] Where W represents the comprehensive capacity of the grid, m represents the number of dimensions, j represents the ordinal number of the dimension, and ρ j Represented as the weight of the j-th dimension.

[0028] Preferably, the method for generating capability enhancement suggestions includes:

[0029] Get the difference between the polarization value of the dimension or indicator and the average value;

[0030] Determining whether the difference is less than a threshold;

[0031] If it is less than the threshold, reinforcement suggestions for the corresponding dimension or indicator are generated.

[0032] Preferably, the method for generating reinforcement suggestions for employees includes:

[0033] Obtain dimension polarization values ​​of employees;

[0034] Get the average level of polarization value of the same position dimension in the region;

[0035] According to the difference between the polarization value of the dimension and the average level, a reinforcement suggestion for the corresponding dimension is generated.

[0036] The present invention also provides an optimization system for implementing the above optimization method, comprising: a collection module, a quantification module and an analysis module;

[0037] The acquisition module is used to obtain historical data of the telecommunications operation organization;

[0038] The quantification module is used to obtain the dimensions of business development and the indicators of the dimensions; and calculate the polarization value of the indicator and the polarization value of the dimension according to the historical data;

[0039] The analysis module is used to obtain the weak point dimension or the dominant dimension according to the polarization value and the average value of the dimension.

[0040] Preferably, the optimization system further comprises a visualization module,

[0041] The visualization module is used to generate a dimensional radar chart based on the polarization value and the average value of the dimension, and the dimensional radar chart includes an average value indicator line and a polarization value indicator line;

[0042] Generate a radar chart of indicators based on the polarization value and average value of the indicators in the dimension;

[0043] Set the radar chart of the indicator outside the corresponding dimension.

[0044] Compared with the prior art, the beneficial effects of the present invention are: by analyzing and calculating historical data, the polarization value of the indicator is obtained, and the indicator is classified to derive the polarization value of the relevant dimension; a single grid is evaluated according to the average value of multiple grids, and the short board dimension or advantage dimension of the grid is discovered, providing guidance for the capacity development of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a method for optimizing telecommunication operation organization capability of the present invention;

[0046] Figure 2 It is a schematic diagram of the dimensional radar chart;

[0047] Figure 3It is the logic block diagram of the optimization system of the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0050] A method for optimizing the organizational capabilities of telecommunication operations, such as Figure 1 As shown, the following steps are included:

[0051] Step 101: Obtain historical data of a telecommunications operation organization.

[0052] Step 102: Obtain dimensions of business development and indicators of the dimensions.

[0053] Step 103: Calculate the polarization value of the indicator and the polarization value of the dimension based on the historical data.

[0054] Step 104: Obtain the weak point dimension or the dominant dimension according to the polarization value and the average value of the dimension.

[0055] By analyzing and calculating historical data, the polarization values ​​of indicators are obtained, and the indicators are classified to derive the polarization values ​​of related dimensions. A single grid is evaluated based on the average values ​​of multiple grids to discover the weak or advantageous dimensions of the grid, providing guidance for the grid's capacity development.

[0056] In telecommunications operations, specific dimensions include any of the following capabilities or a combination thereof: quantity, quality, structure, effectiveness, and execution. Among them, the quantity includes any of the following indicators or a combination thereof: mobile network development volume, 5G development, broadband development, integrated development, and financial development. The quality includes any of the following indicators or a combination thereof: the proportion of "three-no" users, the quality of newly developed users, the retention of existing users, and the quality of outbound calls. The structure includes any of the following indicators or a combination thereof: 5G services, integrated services, and financial development. The effectiveness includes any of the following indicators or a combination thereof: sales, maintenance, and action. The execution includes any of the following indicators or a combination thereof: market information collection, order processing, installation and commissioning, daily maintenance, channel management, and community management. Quantity is used to describe business development capabilities, quality is used to describe customer retention capabilities, structure is used to describe key business recommendation capabilities, effectiveness is used to describe user value mining capabilities, and execution is used to describe daily work execution capabilities.

[0057] The types of indicators include positive indicators and negative indicators. The positive indicator value is positively correlated with the grid-related capabilities, such as the amount of mobile network development. Generally, the larger the positive indicator value, the stronger the capability; the negative indicator value is negatively correlated with the grid capability, such as the proportion of "three-no" users. Generally, the larger the negative indicator value, the weaker the capability.

[0058] The calculation formula of the polarization value of the positive index is expressed as:

[0059] V1=(x-min) / (max-min) (1);

[0060] Among them, V1 represents the polarization value of the positive indicator, x represents the indicator value, min represents the minimum value of the indicator, and max represents the maximum value of the indicator.

[0061] The calculation formula of the polarization value of the negative indicator is expressed as:

[0062] V2 = (max-x) / (max-min) (2);

[0063] Among them, V2 represents the polarization value of the negative indicator, x represents the indicator value, min represents the minimum value of the indicator, and max represents the maximum value of the indicator.

[0064] The calculation method of dimensional polarization value includes:

[0065]

[0066] Among them, V t It is represented by the dimension polarization value, i represents the index number, n represents the total number of indicators, and v i Expressed as the polarization value of the i-th index, θ iIt is expressed as the weight of the ith indicator. The indicator weight of the dimension can be calculated as 1 / n. For example, if there are 5 indicators of quantity, the weight of each indicator is 20%, but it is not limited to this.

[0067] The present invention also includes a method for generating a dimensional radar chart:

[0068] Step 201: Generate a dimensional radar chart based on the polarization value and the average value of the dimension, wherein the dimensional radar chart includes an average value indicator line and a polarization value indicator line.

[0069] Step 202: Generate a radar chart of the indicators within the dimension range based on the indicator polarization value and average value of the dimension.

[0070] Step 203: Setting the radar chart of the indicator outside the corresponding dimension.

[0071] The polarization value reflects the ability of the grid. Figure 2 A dimensional radar chart showing a specific grid capacity and average value is shown, which intuitively displays the capacity of the first-level dimension and the capacity of the second-level indicator. Figure 2 In the figure, the dark line is the average value indicator line, and the light line is the grid capacity indicator line.

[0072] Table 1 shows the calculation method of a specific grid capacity (capability matrix) and calculates the dimensional capacity of each employee. Through the radar chart, the capacity matrix is ​​established to form a horizontal comparison (horizontal at the municipal level) and a vertical comparison of capabilities; the employee work increment is reasonably planned according to the shortcomings and advantages of capabilities. The relevant indicators and dimensions of employees in the same position can be compared horizontally to accurately locate the shortcomings of employees.

[0073] Table 1

[0074]

[0075] The present invention also includes a method for generating reinforcement suggestions for employees:

[0076] Step 401: Obtain the dimensional polarization value of the employee.

[0077] Step 402: Obtain the average level of dimensional polarization values ​​of the same position in the region.

[0078] Step 403: Generate reinforcement suggestions for the corresponding dimensions based on the difference between the dimensional polarization value and the average level.

[0079] Table 2 shows the comparison between the dimensions of an employee in the salesperson position and the market average.

[0080] Table 2

[0081]

[0082] The calculation method of grid comprehensive capacity is:

[0083]

[0084] Where W represents the comprehensive capacity of the grid, m represents the number of dimensions, j represents the ordinal number of the dimension, and ρ j Represented as the weight of the j-th dimension.

[0085] Methods for generating capability enhancement recommendations include:

[0086] Step 301: Obtain the difference between the polarization value of the dimension or indicator and the average value.

[0087] Step 302: Determine whether the difference is less than a threshold.

[0088] If it is less than the threshold, execute step 303: generate reinforcement suggestions for the corresponding dimensions or indicators.

[0089] If it is greater than the threshold, execute step 304: generate an alert for the corresponding dimension or indicator.

[0090] For example, when the difference between the polarization value of a dimension or indicator and the average value is -0.11, it is considered that the grid needs to be reinforced in the dimension or indicator, and a reinforcement suggestion is generated and sent to the manager of the grid, but it is not limited to this. When the difference is greater than -0.11, a warning is only issued in the radar chart.

[0091] The present invention also provides an optimization system for implementing the above optimization method, such as Figure 3 As shown, it includes: a collection module 1, a quantification module 2 and an analysis module 3; the collection module 1 is used to obtain the historical data of the telecommunications operation organization; the quantification module 2 is used to obtain the dimensions of business development and the indicators of the dimensions; and based on the historical data, the polarization value of the indicator and the polarization value of the dimension are calculated; the analysis module 3 is used to obtain the short board dimension or the advantage dimension according to the polarization value and the average value of the dimension.

[0092] The optimization system also includes a visualization module 4 and a suggestion module 5. The visualization module is used to generate a dimensional radar chart based on the polarization value and average value of the dimension, and the dimensional radar chart includes an average value indicator line and a polarization value indicator line; based on the polarization value and average value of the indicator of the dimension, a radar chart of the indicator is generated; and the radar chart of the indicator is set outside the corresponding dimension.

[0093] The suggestion module 5 is used to generate capability enhancement suggestions.

[0094] The present invention aims to create a high-performance, strong application, and light-load grid management method, and promote the efficient and high-quality development of grid unit organization production operations by improving precise management and accurate service capabilities.

[0095] Taking digital transformation as the core tool, we will smooth the smart operation system and deepen the reform to stimulate the vitality of grassroots responsibility units through a combination of precise management, digital operations, leading technologies and other comprehensive methods.

[0096] Precise management: Identify organizational and process shortcomings through business governance and data governance, optimize terminal organizational structures, reasonably match incentive mechanisms, strengthen the identification and governance of negative list content, better play the role of grid units, stimulate front-line vitality, and achieve high-quality development of grid units.

[0097] Digital and intelligent operation: integrate BOMD domain data, focus on market discovery goals and front-line needs, expand the comprehensiveness of digital and intelligent empowerment scenarios, including end-to-end production and operation scenarios such as planning, resource preparation, process tracking and guidance, and post-event review and summary, and improve the ability to perceive the entire situation; improve the timeliness of digital and intelligent empowerment, including hierarchical data processing capabilities such as hours, days, weeks, and months, and accelerate the perception and response capabilities of the front line. Build a high-quality service system for grid units.

[0098] Technological leadership: Adhering to the company's new strategy and new positioning, we actively engage in the construction of digital information infrastructure operation services and digital technology integration and innovation, and steadily promote the achievement of corporate strategic goals by moving businesses to the cloud, de-Oping data, and injecting intelligence into applications.

[0099] The specific method is:

[0100] 1. Support optimization of organizational personnel: Through the operation of grid unit production operation process and business data, it is found that the existing grid units have gaps and overlaps in the operation scope, and the grid marketing scope is divided too finely or too roughly, resulting in uneven coverage of business development needs and resource allocation, which restricts business expansion. Therefore, it is necessary to further subdivide the grid units to accurately match the market space with organizational resources.

[0101] Through the operation of grid unit production operation process and business data, it is found that the existing grid units have gaps and overlaps in the operation scope, and the grid marketing scope is divided too finely or too coarsely, resulting in uneven coverage of business development needs and resource allocation, which restricts business expansion. Therefore, it is necessary to further subdivide the grid units to accurately match the market space with organizational resources. Make full use of digital tools and methods, and use crawler technology combined with active survey tools to accurately survey and locate information in communities, street shops, cluster markets, rural markets and other areas, so as to fully grasp the market space information.

[0102] 2. Supporting incentive mechanism: Convert employee KPI assessment to point assessment, thereby achieving no cap on employee income, widening the income gap among employees, and providing positive incentives for high-productivity employees.

[0103] 3. Grid capability optimization: Add quantity, quality, structure, efficiency, and execution indicators to the grid dashboard. Operational data penetrates the grid and front-line employees and can be displayed on small and medium screens. Look at development, including development overview, support data drilling down to personnel, channels, communities and other dimensions. Development composition and source analysis: including overview, development volume of various channels, and benchmarking. Development quality and efficiency: including development efficiency, development quality, and customer retention. Look at execution, provide work order overview, four types of work order execution and effect evaluation. And display grid capabilities through radar charts.

[0104] 4. Effectively control risks: unify personnel organization information, implement work number control, strengthen work number management and employment management, and prevent former employees from illegally using work numbers to tamper with customer information, illegally transfer and resell number resources, lend work numbers to others for use, and eliminate the risks of private employment and hidden employment.

[0105] After clarifying the basic elements such as market space and personnel information, specific adjustments were made. The original organizational personnel adjustment capabilities were optimized, and the process guidance capabilities were increased. By sorting out the original organizational split process steps, a solidified standard operating procedure for organizational splitting, element entry, and operation inspection was formed. At the same time, system capabilities were upgraded, and with the help of the Internet experience, pre-guidance, in-process guidance, and post-investigation support were provided. Through the optimization and improvement of the above capabilities, the efficiency of organizational and personnel adjustments was significantly improved. Within 30 days, the 141+46 district and county-level architecture support was completed, and the fission from 1,445 comprehensive marketing services to 2,350 business departments / grids was achieved, and the overall efficiency was significantly improved.

[0106] The grid management method of the present invention calculates the grid KPI assessment data, points and salaries of grid personnel by recording data such as users, income and costs into the grid. It organizes personnel adjustments and innovates incentive matching mechanisms to promote the implementation of organizational personnel adjustments as soon as possible. Through innovative incentive means, such as apportionment mode, channel dual accounting mode, etc., combined with business contribution measurement models, quantitative evaluation of personnel and their business contributions, formulation of scientific apportionment ratios, etc., and supporting the design of incentive mechanisms, the process fully highlights the enterprise benefit orientation and the employee more work more pay orientation.

[0107] Scientifically calculate the channel grid allocation coefficient. After the organizational personnel adjustment, for the situation of multiple personnel or multiple business ownership, combine the overall business value, process link contribution ratio, personnel intelligence, labor input classification and ratio and other factors to establish a value allocation model and scientifically calculate the input-output ratio.

[0108] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing telecommunication operation organization capability, characterized in that: The following steps are involved: Obtain historical data of telecommunication operating organizations; Obtaining dimensions of business development and indicators of said dimensions; Calculate the polarization value of the indicator and the polarization value of the dimension according to the historical data; According to the polarization value and the average value of the dimension, the short board dimension or the dominant dimension is obtained.

2. The optimization method according to claim 1, characterized in that: The dimensions include any of the following capabilities or their combination: quantity, quality, structure, effectiveness and execution; The quantity includes any one of the following indicators or a combination thereof: mobile network development, 5G development, broadband development, converged development and financial development; The quality includes any of the following indicators or their combination: the proportion of "three-no" users, the quality of newly developed users, the retention of existing users and the quality of outbound calls; The structure includes any one of the following indicators or a combination thereof: 5G services, converged services and financial development; The effectiveness includes any one or a combination of the following indicators: sales, retention, and action; The execution capability includes any one of the following indicators or a combination thereof: market information collection, order processing, installation and commissioning, daily maintenance, channel management, and community management.

3. The optimization method according to claim 1, characterized in that: The indicators include positive indicators and negative indicators; The calculation formula of the polarization value of the positive index is expressed as: V1 = (x-min) / (max-min); Among them, V1 represents the polarization value of the positive indicator, x represents the indicator value, min represents the minimum value of the indicator, and max represents the maximum value of the indicator; The calculation formula of the polarization value of the negative indicator is expressed as: V2 = (max-x) / (max-min); Among them, V2 represents the polarization value of the negative indicator.

4. The optimization method according to claim 3, characterized in that: The calculation method of dimensional polarization value includes: Among them, V t It is represented by the dimension polarization value, i represents the index number, n represents the total number of indicators, and v i Expressed as the polarization value of the i-th index, θ i It is represented as the weight of the i-th indicator.

5. The optimization method according to claim 4, characterized in that: Also includes methods for generating dimensional radar charts: Based on the polarization value and the average value of the dimension, a dimensional radar chart is generated, wherein the dimensional radar chart includes an average value indicator line and a polarization value indicator line; Generate a radar chart of indicators based on the polarization value and average value of the indicators in the dimension; Set the radar chart of the indicator outside the corresponding dimension.

6. The optimization method according to claim 4, characterized in that: Also included are methods for calculating the comprehensive capabilities of the grid: Where W represents the comprehensive capacity of the grid, m represents the total number of dimensions, j represents the ordinal number of the dimension, and ρ j Represented as the weight of the j-th dimension.

7. The optimization method according to claim 4, characterized in that: Also included is a method for generating capability enhancement suggestions: Get the difference between the polarization value of the dimension or indicator and the average value; Determining whether the difference is less than a threshold; If it is less than the threshold, reinforcement suggestions for the corresponding dimension or indicator are generated.

8. The optimization method according to claim 7, characterized in that: Also included is a method for generating employee reinforcement suggestions: Obtain dimension polarization values ​​of employees; Get the average level of polarization value of the same position dimension in the region; According to the difference between the polarization value of the dimension and the average level, a reinforcement suggestion for the corresponding dimension is generated.

9. An optimization system, characterized in that: Used to implement the optimization method according to any one of claims 1 to 8, the optimization system comprises: an acquisition module, a quantification module and an analysis module; The acquisition module is used to obtain historical data of the telecommunications operation organization; The quantification module is used to obtain the dimensions of business development and the indicators of the dimensions; and calculate the polarization value of the indicator and the polarization value of the dimension based on the historical data; The analysis module is used to obtain the weak point dimension or the dominant dimension according to the polarization value and the average value of the dimension.

10. The optimization system according to claim 1, characterized in that: Also includes visualization modules, The visualization module is used to generate a dimensional radar chart based on the polarization value and the average value of the dimension, and the dimensional radar chart includes an average value indicator line and a polarization value indicator line; Generate a radar chart of indicators based on the polarization value and average value of the indicators in the dimension; Set the radar chart of the indicator outside the corresponding dimension.

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