CN114119315A - Enterprise-level intelligent security elimination management system and management method thereof - Google Patents
Enterprise-level intelligent security elimination management system and management method thereof Download PDFInfo
- Publication number
- CN114119315A CN114119315A CN202111351177.2A CN202111351177A CN114119315A CN 114119315 A CN114119315 A CN 114119315A CN 202111351177 A CN202111351177 A CN 202111351177A CN 114119315 A CN114119315 A CN 114119315A
- Authority
- CN
- China
- Prior art keywords
- management
- module
- early warning
- label
- enterprise
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 182
- 238000003379 elimination reaction Methods 0.000 title claims abstract description 26
- 230000008030 elimination Effects 0.000 title abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 62
- 230000008569 process Effects 0.000 claims abstract description 46
- 238000012423 maintenance Methods 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000002372 labelling Methods 0.000 claims description 25
- 238000012545 processing Methods 0.000 claims description 11
- 230000004044 response Effects 0.000 claims description 9
- 230000001960 triggered effect Effects 0.000 claims description 9
- 239000000047 product Substances 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000006399 behavior Effects 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 7
- 230000008901 benefit Effects 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 6
- 230000008520 organization Effects 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000004927 fusion Effects 0.000 abstract description 3
- 230000009466 transformation Effects 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 230000002265 prevention Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 5
- 230000003449 preventive effect Effects 0.000 description 3
- 230000008033 biological extinction Effects 0.000 description 2
- 230000010485 coping Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the field of enterprise consumer rights protection management, in particular to an enterprise-level intelligent consumer rights protection management system and a management method thereof. The enterprise-level intelligent elimination and protection management system provided by the invention takes the flow as the guide and prevention as the main, and realizes the active and distributed cooperative management, thereby realizing the flow, standardization and automation of the elimination and protection management work. The effectiveness and quality of the elimination and protection service and management work are improved through intelligent monitoring, and KPI quantitative assessment of related personnel can be performed; the management of the elimination is more effective from planning to implementation to operation and maintenance, the cost is reduced, and better quality and efficiency are obtained; the system ensures the support of the security elimination service and the management process, promotes the communication of all business departments, promotes the cooperation and the fusion, improves the overall management quality of enterprises, provides an upgrade transformation path for a profit center, reduces the redundancy and the repeated work, and improves the production efficiency.
Description
Technical Field
The invention relates to the field of consumer rights and interests protection management, in particular to an enterprise-level intelligent consumer rights and interests management system and a management method thereof.
Background
Consumer rights and benefits protection and insurance service (abbreviated as insurance) is consumer guarantee service provided for buyers, a traditional insurance management system is guided by work order tasks, consumer complaint information and work order information are collected, information is analyzed by relevant functional departments such as business departments or after-sales departments, and then relevant solutions are provided and fed back to consumers. The conventional management system for elimination has the following problems: in the fire fighting team mode, the complaint problem is processed after the complaint problem occurs, the processing mode is passive, and the problem cannot be early warned in advance, so that the experience of consumers is poor, and the satisfaction is low; centralized individual combat is mostly adopted, and business personnel or after-sales personnel cover the whole guarantee process, so that the service is not in place easily; the problems of repeated occurrence and disordered management caused by lack of flow management and monitoring bring about the problems of culture loss of internal enterprise elimination and protection, dispersed knowledge, mutual fight, key information loss, repeated occurrence of the same problem, excessive dependence on key core personnel, incapability of quantifying personnel assessment and the like. Accordingly, the present disclosure has been made.
Disclosure of Invention
It is an object of the present invention to address at least the above problems through an enterprise-level intelligent revocation management system and a management method thereof.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: enterprise-level intelligent security-elimination management system is characterized by comprising: the information flow is conducted forward or backward sequentially through the unified service portal, the operation and maintenance flow management layer, the operation and maintenance platform architecture layer and the operation and maintenance platform application layer.
Preferably, the unified service portal comprises a customer complaint processing module, an enterprise internal customer module, an external transfer module, an intelligent early warning module and a system reporting module.
Preferably, the operation and maintenance flow management layer comprises a service desk, a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base management module.
Preferably, the operation and maintenance platform architecture layer comprises an AI robot, an early warning system, a visual report system, a monitoring system, an early warning response system, an on-duty inspection system, an analysis system, a work order management system and a label marking system.
Preferably, the operation and maintenance platform application layer comprises a mail module, a short message module, a micro communication notification module, a large screen display module and an early warning communication module.
The enterprise-level intelligent security elimination management method is carried out by utilizing the enterprise-level intelligent security elimination management system, and is characterized by comprising the following steps of: a. the client complaint request information is obtained through the client complaint module, the event information is reported through the intelligent early warning module and the system reporting module, and the problem, consultation or communication cooperative information is obtained through the client module in the enterprise and the external transfer module; b. the information acquired through the unified service portal is transmitted to the service desk; c. information collection, analysis and induction are carried out through a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base, and a work order event management flow, a problem management flow, an early warning management flow, a release management flow and a label management flow are entered to obtain an event, a problem, an early warning scheme, release information and a label; d. the information is presented through the mail module, the short message module, the micro-communication notification module, the large-screen display module and the early warning communication module.
Preferably, the work order management process includes: transmitting client information, forwarding information and system monitoring information to a service desk, and switching the service desk to on-site service, or sequentially performing step-by-step management through a first-line support, a second-line support and a third-party support, wherein the second-line support comprises a business department, a management department or a branch organization, and the third-party support comprises a consulting company;
the event management process comprises the following steps: the method comprises the steps of obtaining events possibly causing enterprise operation interruption or potential interruption such as events complained by customers, events automatically forwarded by a monitoring system, and guarantee elimination time automatically forwarded by a customer service system, carrying out comprehensive classification sequencing according to the priority of the events, and starting an emergency management flow to process when the priority of the events is emergency.
Preferably, the subsystem of the early warning management module comprises an intelligent work order label system, a complaint early warning model, complaint early warning monitoring and issuing, and the early warning management process comprises: collecting information, studying and judging information, issuing early warning, early warning response, emergency treatment and feedback; classifying the collected information according to a complaint early warning model, wherein the complaint early warning model comprises a social focus hot spot event model, a heavy customer and customer demanding model, a media and external supervision attention event, an event upgrading model, a repeated event model, a high-density high-frequency event, a processing flow and an effectiveness model, and meanwhile, carrying out hierarchical management on the information: the method is divided into oversize, great, larger, general, preliminary and potential; the complaint work order label can directly trigger the early warning, specifically includes: the method comprises the steps that labels are directly triggered, and corresponding early warning information is generated according to preset triggering conditions such as label information and early warning parameter threshold values when intelligent labels of complaint work orders are marked; the method has the advantages that keywords are directly triggered, policy focus points, social focus points and market hotspots are preset in a keyword mode, potential risk early warning is triggered at the first time when a corresponding work order appears, and the capability of responding to sudden complaint risks is improved.
Preferably, the problem management process includes: request, release management or event management is carried out by an external process or a user; problem analysts and problem managers perform detection and recording, problem classification, investigation and diagnosis, problem resolution, provide solutions, and perform knowledge management and event management after problems are resolved and closed.
Preferably, the tag management process includes:
labeling manual work order labels: providing a sorted label comprising a channel label, a product label, a behavior label and a reason label by a label library, providing a word list for assisting in completing label labeling by a keyword library, wherein the keyword library is a keyword word with large association degree with the label dynamically increased according to the actual work order condition in the process of expert labeling on the basis of the existing word library of a consulting company; the work order obtains work order data needing label marking through data sorting and cleaning; the label labeling tool provides functions of keyword prompt, label fast retrieval, mutually exclusive label check and the like; the expert uses a labeling tool to complete the labeling of channel, product, behavior and reason label work orders, and supplements a dynamic keyword library at the same time; the work order marked by the expert is provided for learning and training of an AI tool;
the AI model realizes automatic labeling of labels: and marking the work order data subjected to data cleaning through an AI model tool, and completing checking and confirmation through a label checking tool by an expert.
The above description shows that the enterprise-level intelligent anti-theft management system and the management method thereof provided by the invention have the following beneficial effects: the enterprise-level intelligent depreciation management system provided by the invention is mainly oriented and preventive to the process, and has active and distributed cooperative management, work flow, standardization and automation. The working efficiency and quality are improved through intelligent monitoring, and KPI quantitative assessment of related personnel can be performed; the management of the elimination is more effective from planning to implementation to operation and maintenance, and the cost is reduced; meanwhile, the communication of each business department is promoted, the cooperation and the fusion are promoted, better quality and efficiency are obtained, the flow support is ensured, the overall management quality of an enterprise is improved, an upgrade transformation path to a profit center is provided, the redundancy and the repeated work are reduced, and the operation efficiency of the enterprise is improved.
Drawings
FIG. 1 is a schematic structural diagram of an enterprise-level intelligent revocation management system according to the present invention.
Fig. 2 is a schematic view of a workflow of an enterprise-level intelligent management method for the security elimination.
FIG. 3 is a schematic diagram of a work order management process.
FIG. 4 is a schematic diagram of a problem management process.
FIG. 5 is a schematic diagram of a manual work order labeling process.
FIG. 6 is a schematic diagram of implementing automatic labeling of tags by the AI model.
Fig. 7 is a view showing a structure of a tag code.
The specific implementation mode is as follows:
the invention is further described below by means of specific embodiments.
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the enterprise-level intelligent security elimination management system of the present invention includes: the information flow is conducted forward or backward sequentially through the unified service portal, the operation and maintenance flow management layer, the operation and maintenance platform architecture layer and the operation and maintenance platform application layer.
The unified service portal comprises a customer complaint module, an enterprise internal customer module, an external transfer module, an intelligent early warning module and a system report module.
The operation and maintenance flow management layer comprises a service desk, a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base management module.
The operation and maintenance platform architecture layer comprises a work order management system, a label marking system, an AI robot (comprising an AI label auxiliary platform and an AI label automatic marking platform), an early warning system, a visual report system, a monitoring system, an early warning response system, an on-duty inspection system and an analysis system.
The operation and maintenance platform application layer comprises a mail module, a short message module, a micro communication notification module, a large screen display module and an early warning communication module.
As shown in fig. 2, the enterprise-level intelligent security-elimination management method is performed by using the above-mentioned enterprise-level intelligent security-elimination management system, and includes the following steps: a. the client complaint request information is obtained through the client complaint module, the event information is reported through the intelligent early warning module and the system reporting module, and the problem, consultation or communication cooperative information is obtained through the client module in the enterprise and the external transfer module; b. the information acquired through the unified service portal is transmitted to the service desk; c. information collection, analysis and induction are carried out through a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base, and a work order event management flow, a problem management flow, an early warning management flow, a release management flow and a label management flow are entered to obtain an event, a problem, an early warning scheme, release information and a label; d. the information is presented through the mail module, the short message module, the micro-communication notification module, the large-screen display module and the early warning communication module.
The complaint event refers to a complaint event which may endanger the benefits of an enterprise, cause capital loss, cause customer loss, damage the reputation of the enterprise, violate the business idea, the service idea and the value orientation of the enterprise and need to take countermeasures, or cause emergencies, market hotspots, hidden trouble problems and the like of the event.
The complaint early warning means a complaint event which needs to take early warning and coping measures, or is easy to cause emergencies, market hotspots, hidden danger problems and the like of the event, and according to related early warning information, early warning prompts are sent to internal departments and jurisdictions of enterprises, and coping preparations are made in advance, so that behaviors of reputation and property loss are prevented, avoided and reduced to the greatest extent.
As shown in fig. 3, the work order management process includes: the client information, the forwarding information and the system monitoring information are transmitted to the service desk, the service desk is used for switching to on-site service, or the service desk is sequentially managed step by step through a first-line support, a second-line support and a third-party support, the second-line support comprises a business department, a management department or a branch organization, and the third-party support comprises a consulting company.
The event management flow is a management flow for managing events which may cause enterprise operation interruption or potential interruption in the process of the guarantee elimination service and quickly recovering enterprise operation capacity. The source of the event comprises the event of customer complaint, the event automatically forwarded by the monitoring system, the event automatically forwarded by the customer service system for removing insurance, and the like. The aim of the method is to recover interrupted or affected enterprise operation as soon as possible, and the method is based on the primary purpose of recovering operation, and can adopt a temporary solution instead of searching a root cause. The method ensures that various depreciation service events can be rapidly and orderly solved within the allowable range of cost according to the priority of the events, thereby reducing the influence caused by the interruption of enterprise operation. And carrying out comprehensive classification and sequencing according to the priority and the influence degree of the event, and starting an emergency management process to process if the priority of the event is judged to be emergency. And providing timely event processing state information for the client, monitoring the event processing process, and performing management and technical upgrading when necessary. The key information in the process of processing the event is ensured to be correctly recorded, knowledge support is provided for subsequent event processing, and accurate data information is provided for continuous optimization of the process. And recording the event information and the solution process information according to the specification, and the working efficiency of the service desk, the background technical resource utilization condition service desk and the technical support team.
The event management process comprises the following steps: the method comprises the steps of obtaining events possibly causing enterprise operation interruption or potential interruption such as events complained by customers, events automatically forwarded by a monitoring system, and guarantee elimination time automatically forwarded by a customer service system, carrying out comprehensive classification sequencing according to the priority of the events, and starting an emergency management flow to process when the priority of the events is emergency.
The early warning scheme comprises the following steps:
1. the method determines the summary of the scheme, defines the working target of the early warning scheme, and realizes full-time-domain monitoring, rapid early warning and release, timely response and disposal and minimum influence.
2. The method comprises the steps of establishing a complaint early warning platform, setting an organization structure from the consideration of enterprise scale, geographical distribution and the like, and determining posts and responsibility division, wherein a subsystem of an early warning management module comprises an intelligent work order label system, a complaint early warning model, and complaint early warning monitoring and issuing.
3. Setting a complaint early warning process;
the early warning management process comprises the following steps: collecting information, studying and judging information, issuing early warning, early warning response, emergency treatment and feedback;
classifying the collected information according to a complaint early warning model, wherein the complaint early warning model comprises a social focus hot spot event model, a heavy customer and customer demanding model, a media and external supervision attention event, an event upgrading model, a repeated event model, a high-density high-frequency event, a processing flow and an effectiveness model, and meanwhile, carrying out hierarchical management on the information: the method is divided into oversize, great, larger, general, preliminary and potential;
the complaint work order label can directly trigger the early warning, specifically includes: the method comprises the steps that labels are directly triggered, and corresponding early warning information is generated according to preset triggering conditions such as label information and early warning parameter threshold values when intelligent labels of complaint work orders are marked; the method has the advantages that keywords are directly triggered, policy focus points, social focus points and market hotspots are preset in a keyword mode, potential risk early warning is triggered at the first time when a corresponding work order appears, and the capability of responding to sudden complaint risks is improved. Early warning information is formed at the first time of creating the work order, early warning response is implemented from the creation stage, relevant information is supplemented and perfected, early warning treatment is carried out, the solution cost is reduced, customer experience is improved, and the response capability of emergency events is effectively improved.
4. And (4) performing early warning summary and continuous improvement, after the treatment is finished, summarizing in time, searching weak links, proposing improvement measures, writing a work report, finding problems, perfecting a system and a flow, and continuously optimizing products and services.
As shown in fig. 4, the problem management process includes: request, release management or event management is carried out by an external process or a user; problem analysts and problem managers perform detection and recording, problem classification, investigation and diagnosis, problem resolution, provide solutions, and perform knowledge management and event management after problems are resolved and closed. The problem management process aims to find out the root cause of the problem through a whole set of processes and methods for finding the problem, analyzing the problem, solving the problem and managing the problem, so as to establish a proper scheme or prevent the reoccurrence of preventive measures.
The release management process comprises the following steps: products or services and systems thereof are strictly tested, audited and imported into a newly added or improved set of actual business environments.
The label management aims at: in order to realize the process, digital and intelligent management of the full life cycle of the customer service, the complaint work order needs to be subjected to labeling management. The complaint work order labeling management is the basic work of carrying out full traceability, full view, complaint client image, complaint data statistical analysis, supervision report output and intelligent early warning on the complaints and opinions of clients.
The label management process comprises the following steps:
as shown in fig. 5, manual work order labeling is performed, a label library provides sorted labels including channel, product, behavior and reason labels, a keyword library provides a vocabulary for assisting in completing labeling, and the keyword library is a keyword vocabulary with a large association degree with the labels dynamically increased according to actual work order conditions in the process of expert labeling on the basis of the existing word library of a consulting company; the work order obtains work order data needing label marking through data sorting and cleaning; the label labeling tool provides functions of keyword prompt, label fast retrieval, mutually exclusive label check and the like; the expert uses a labeling tool to complete the labeling of channel, product, behavior and reason label work orders, and supplements a dynamic keyword library at the same time; the work order marked by the expert is provided for learning and training of an AI tool;
as shown in FIG. 6, the AI model realizes automatic labeling of the label, the worksheet data after data cleaning is labeled by the AI model tool, and the examination and confirmation is completed by the expert through the label examination tool.
The label management process is described below by taking the business bank relief service management as an example.
Examples of complaint label dimension codes are as follows:
fig. 7 is a view showing a structure of code encoding.
An example of a channel label (C002) code is shown in the following table:
on the basis of an intelligent label system, the intelligent early warning model is used for early warning the complaint reaching the complaint threshold value within a certain time. Examples of label applications are presented below by way of example:
and a certain client reflects that XX account opening is handled in 2019, 10 and 9 days, account management fee is deducted on account in 12 and 24 days, the account management fee is not satisfied, the complaint information is labeled by an AI label pool after entering the label pool, and the early warning information is fed back to a business department, a management department, a branch institution and the like for processing by utilizing the analysis of an intelligent early warning model.
The goal of knowledge base management is to share information and knowledge in an organization, achieve the aim of continuous innovation of the knowledge by obtaining the processes of creation, sharing, integration, recording, access, updating and the like, and feed back the knowledge to a knowledge system, so that the knowledge of personnel in the organization can be accumulated forever, and greater benefits can be obtained from the accumulation of the knowledge.
The knowledge base management process comprises the following steps: document management and knowledge item management, wherein information is input into a knowledge base through document planning, document compiling and document approval, and documents are modified and destroyed according to requirements; through item planning, compiling and auditing, the item information is input into a knowledge base, and the item information is optimized and counted, wherein the knowledge base provides data support services for event management, problem management, early warning management, release management and label management.
The executive personnel management method of the enterprise-level intelligent security elimination management system comprises the following steps: 1. setting up a post, setting up a management post, a service post and the like, and determining post responsibilities; 2. recruiting, and screening persons with related skills and working experience through internal recruiting and external recruiting; 3. carrying out pre-post training, regular training, special training, early meeting sharing and experience sharing on personnel; 4. scheduling the personnel according to the post requirements; 5. and performing performance assessment on the personnel according to factors such as skill indexes, capability indexes, warranty conditions, workload, team contribution degree and cooperation capability.
The enterprise-level intelligent elimination and protection management system provided by the invention is mainly oriented and preventive to the process, has active and distributed cooperative management, work flow, standardization and automation, improves the work efficiency and quality through intelligent monitoring, and can perform KPI quantitative assessment on related personnel; for enterprise managers, the management of elimination and maintenance from planning to implementation to operation and maintenance is more effective, the cost is reduced, better quality and efficiency are obtained, flow support is ensured, the overall management quality of an enterprise is improved, communication with business departments is promoted, cooperation and fusion are promoted, an upgrade transformation path to a profit center is provided, redundancy and repeated work are reduced, and the production efficiency is improved. For the management personnel of the extinction and protection service, the department creates new strategic competitiveness for the enterprise, the clients in the enterprise have more reasonable expectations, the customers in the enterprise can clearly know what needs to be paid to achieve the expectations, the staff supporting the extinction and management and the service can clearly know the expectations, and the management personnel and the service support personnel can ensure that the expectations are achieved through proper processes and corresponding training support.
The above description is only a few specific embodiments of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by the design concept should fall within the scope of the present invention.
Claims (10)
1. Enterprise-level intelligent security-elimination management system is characterized by comprising: the information flow is transmitted forward or backward sequentially through the unified service portal, the operation and maintenance flow management layer, the operation and maintenance platform architecture layer and the operation and maintenance platform application layer.
2. The enterprise-level intelligent amortization and protection management system according to claim 1, wherein: the unified service portal comprises a customer complaint management module, an enterprise internal customer module, an external transfer module, an intelligent early warning module and a system report module.
3. The enterprise-level intelligent amortization and protection management system according to claim 1, wherein: the operation and maintenance flow management layer comprises a service desk, a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base management module.
4. The enterprise-level intelligent amortization and protection management system according to claim 1, wherein: the operation and maintenance platform architecture layer comprises a work order management system, a label marking system, an AI robot, an early warning system, a visual report system, a monitoring system, an early warning response system, an on-duty inspection system and an analysis system.
5. The enterprise-level intelligent amortization and protection management system according to claim 1, wherein: the operation and maintenance platform application layer comprises a mail module, a short message module, a micro communication notification module, a large screen display module and an early warning communication module.
6. An enterprise-level intelligent security-elimination management method which is carried out by using the enterprise-level intelligent security-elimination management system according to any one of claims 1 to 5, and is characterized by comprising the following steps: a. the client complaint request information is obtained through the client complaint module, the event information is analyzed through the intelligent early warning module and the system report module, and the problem, consultation or communication cooperative information is obtained through the client module in the enterprise and the external transfer module; b. the information acquired through the unified service portal is transmitted to the service desk; c. information collection, analysis and induction are carried out through a service level management module, a work order event management module, an early warning management module, a problem management module, a release module, a label management module and a knowledge base, and a work order event management flow, a problem management flow, an early warning management flow, a release management flow and a label management flow are entered to obtain an event, a problem, an early warning scheme, release information and a label; d. the information is presented through the mail module, the short message module, the micro-communication notification module, the large-screen display module and the early warning communication module.
7. The enterprise-level intelligent anti-theft management method according to claim 6, wherein: the work order management process comprises the following steps: the client information, the forwarding information and the system monitoring information are transmitted to a service desk, the service desk is used for switching to on-site service, or the service desk is sequentially managed step by step through a first-line support, a second-line support and a third-party support, wherein the second-line support comprises a business department, a management department or a branch organization, and the third-party support comprises a consulting company and the like.
The event management process comprises the following steps: events possibly causing enterprise operation interruption or potential interruption such as events complained by customers, events automatically forwarded by a monitoring system, and information of removing insurance automatically forwarded by a customer service system are obtained, comprehensive classification and sequencing are carried out according to the priority of the events, and when the priority of the events is emergency, an emergency management flow is started for processing.
8. The enterprise-level intelligent anti-theft management method according to claim 6, wherein: the subsystem of the early warning management module comprises an intelligent work order label system, a complaint early warning model, complaint early warning monitoring and issuing, and the early warning management process comprises the following steps: collecting information, studying and judging information, issuing early warning, early warning response, emergency treatment and feedback; classifying the collected information according to a complaint early warning model, wherein the complaint early warning model comprises a social focus hot spot event model, a heavy customer and customer demanding model, a media and external supervision attention event, an event upgrading model, a repeated event model, a high-density high-frequency event, a processing flow and an effectiveness model, and meanwhile, carrying out hierarchical management on the information: classified into extra large, major, general, preliminary and potential events; the complaint work order label can directly trigger the early warning, specifically includes: the method comprises the steps that labels are directly triggered, and corresponding early warning information is generated according to preset triggering conditions such as label information and early warning parameter threshold values when intelligent labels of complaint work orders are marked; the method has the advantages that keywords are directly triggered, policy focus points, social focus points and market hotspots are preset in a keyword mode, potential risk early warning is triggered at the first time when a corresponding work order appears, and the capability of responding to sudden complaint risks is improved.
9. The enterprise-level intelligent anti-theft management method according to claim 6, wherein: the problem management process comprises the following steps: request, release management or event management is carried out by an external process or a user; problem analysts and problem managers perform detection and recording, problem classification, investigation and diagnosis, problem resolution, provide solutions, and perform knowledge management and event management after problems are resolved and closed.
10. The enterprise-level intelligent anti-theft management method according to claim 6, wherein: the label management process comprises the following steps:
manual work order label labeling, wherein a label library provides well-arranged labels comprising channel, product, behavior and reason labels, a keyword library provides a word library for assisting in completing label labeling, and the keyword library is a keyword word with large association degree with the labels dynamically increased according to the actual work order condition in the process of expert labeling on the basis of the existing word library of a consulting company; the work order obtains work order data needing label marking through data sorting and cleaning; the label labeling tool provides functions of keyword prompt, label fast retrieval, mutually exclusive label check and the like; the expert uses a labeling tool to complete the labeling of channel, product, behavior and reason label work orders, and supplements a dynamic keyword library at the same time; the work order marked by the expert is provided for learning and training of an AI tool;
the AI model realizes automatic labeling of the label, the worksheet data subjected to data cleaning is labeled through an AI model tool, and the examination and confirmation are completed by an expert through a label examination tool.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111351177.2A CN114119315A (en) | 2021-11-16 | 2021-11-16 | Enterprise-level intelligent security elimination management system and management method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111351177.2A CN114119315A (en) | 2021-11-16 | 2021-11-16 | Enterprise-level intelligent security elimination management system and management method thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114119315A true CN114119315A (en) | 2022-03-01 |
Family
ID=80396478
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111351177.2A Pending CN114119315A (en) | 2021-11-16 | 2021-11-16 | Enterprise-level intelligent security elimination management system and management method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114119315A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114372731A (en) * | 2022-03-21 | 2022-04-19 | 成都明途科技有限公司 | Post target making method, device, equipment and storage medium based on big data |
CN116415923A (en) * | 2023-05-22 | 2023-07-11 | 成都秦川物联网科技股份有限公司 | Intelligent gas work order implementation management method and Internet of things system and device |
-
2021
- 2021-11-16 CN CN202111351177.2A patent/CN114119315A/en active Pending
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114372731A (en) * | 2022-03-21 | 2022-04-19 | 成都明途科技有限公司 | Post target making method, device, equipment and storage medium based on big data |
CN116415923A (en) * | 2023-05-22 | 2023-07-11 | 成都秦川物联网科技股份有限公司 | Intelligent gas work order implementation management method and Internet of things system and device |
CN116415923B (en) * | 2023-05-22 | 2023-08-25 | 成都秦川物联网科技股份有限公司 | Intelligent gas work order implementation management method and Internet of things system and device |
US12014297B2 (en) | 2023-05-22 | 2024-06-18 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods for managing smart gas work order implementation and internet of things (IOT) systems thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gul et al. | Fuzzy rule-based Fine–Kinney risk assessment approach for rail transportation systems | |
JP6644475B2 (en) | Computer implemented systems and methods for integrating human observations into analytics data | |
US20090265200A1 (en) | System and Method for Governance, Risk, and Compliance Management | |
Renuka et al. | A comparative study of human resource management practices and advanced technology adoption of SMEs with and without ISO certification | |
CN106815709A (en) | One kind service quick response center support system and method | |
Bradford et al. | Innovation and improvement for Telstra's Australian energy and cooling systems: A ten year case study | |
Wongsim et al. | Exploring information quality in accounting information systems adoption | |
CN114119315A (en) | Enterprise-level intelligent security elimination management system and management method thereof | |
US20220368728A1 (en) | Automated Risk Assessment Module with Real-Time Compliance Monitoring | |
US20220166789A1 (en) | Usage-Tracking Of Assets For Security Assurance | |
CN113191730B (en) | Dangerous chemical full life cycle information supervision system based on big data | |
Andry | Performance Measurement of IT Governance: A Case Study | |
Zhang et al. | Budget allocation in coping with supply chain disruption risks | |
Chornous et al. | Integration of information systems for predictive workforce analytics: Models, synergy, security of entrepreneurship | |
KR100850785B1 (en) | A Intelligent Regular Auditing System and A Auditing Methode thereof | |
US20130041712A1 (en) | Emerging risk identification process and tool | |
Mandrakov et al. | Risk Management Process in the Digital Environment | |
CN114254908A (en) | Risk perception and supervision platform for regional financial non-bank financial institution | |
Budzier | Theorizing outliers: explaining variation in IT project performance | |
Semeteys | Method for qualification and selection of open source software | |
Kafol | PROJECT RISK MANAGEMENT METHODOLOGY IN PRACTICE. | |
Teli et al. | Delivering value in procurement with robotic cognitive automation (RCA) services | |
US11934980B2 (en) | Network server for segmenting and scheduling | |
Marković | IMPROVEMENT OF BUSINESS PROCESSES IN PUBLIC UTILITY COMPANIES | |
Hisham et al. | Business Risk Management Analysis at Warung Mbah Lanang Banyuwangi Using Descriptive Contextual Approach With ISO 31000 Method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |