CN113240229A - Intelligent decision making system and method based on user portrait data - Google Patents
Intelligent decision making system and method based on user portrait data Download PDFInfo
- Publication number
- CN113240229A CN113240229A CN202110336666.4A CN202110336666A CN113240229A CN 113240229 A CN113240229 A CN 113240229A CN 202110336666 A CN202110336666 A CN 202110336666A CN 113240229 A CN113240229 A CN 113240229A
- Authority
- CN
- China
- Prior art keywords
- management
- performance
- enterprise
- management object
- establishing
- 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
- 238000000034 method Methods 0.000 title claims abstract description 72
- 238000007726 management method Methods 0.000 claims abstract description 281
- 238000013210 evaluation model Methods 0.000 claims abstract description 61
- 230000008569 process Effects 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims description 32
- 238000011156 evaluation Methods 0.000 claims description 30
- 238000004590 computer program Methods 0.000 claims description 16
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000000354 decomposition reaction Methods 0.000 claims description 8
- 230000009466 transformation Effects 0.000 abstract description 13
- 230000008901 benefit Effects 0.000 abstract description 12
- 238000004886 process control Methods 0.000 abstract description 6
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000013523 data management Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 16
- 230000006870 function Effects 0.000 description 9
- 238000012545 processing Methods 0.000 description 7
- 238000013439 planning Methods 0.000 description 5
- 230000006399 behavior Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 238000012357 Gap analysis Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012800 visualization 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
- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present application relates to the field of user data analysis and management technologies, and in particular, to an intelligent decision method, system, electronic device, and readable storage medium based on user portrait data. The method comprises the following steps: decomposing according to an enterprise strategic objective to establish an enterprise value chain model; determining key management objects in the value chain, performance of the key management objects and influence factors of performance indexes according to the value chain model; establishing a performance evaluation model of the management object, and establishing portrait description of the management object; and monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path. The method and the system have the advantages that the enterprise digital transformation is based on the value chain, the management data of the management object is more abundantly displayed, the prediction, trend and process control of the performance and resource factor relation of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
Description
Technical Field
The application relates to the technical field of user data analysis and management, in particular to an intelligent decision-making system and method based on a management object portrait.
Background
As is well known, after an enterprise develops to a certain scale, the management problem of the enterprise is an abnormally complex problem, the enterprise management is subject to work flow and IT automation, and currently, in the process of information and digital transformation, as a single independent method, a big data-based analysis and presentation method, a user image drawing method, a performance evaluation method and the like cannot give full play to the overall and optimal management income, but in the traditional management mode, the decision depending on the experience of a manager is still very limited, and the effect is also not good, and is represented as:
1) and (3) decision range: the large-scale enterprise managers are set layer by layer, high-level decisions cannot control the bottom-level execution, the bottom-level decisions cannot obtain the maximum available resources, the management target decomposition is transmitted through a value chain, and the transmission process is also distorted;
2) performance evaluation: how to objectively establish the performance target and the evaluation performance of the management object and how to effectively describe the attribute (information) and the behavior (performance) of the managed object needs a scientific and reasonable model and method;
3) resource regulation and control: enterprise resources need to be adjusted within the maximum management controlled range, and cannot be influenced by restriction factors such as strong departments, wall relation and the like, so that the maximum benefit of management is brought into play, and the traditional management cannot effectively support the management decision requirement;
based on the management optimization problems and requirements, a method and a system for performance evaluation modeling, key management object portrayal, management resource regulation and control and intelligent aid decision-making based on management big data from a strategic target decomposition to a value chain model in an enterprise scope are urgently needed, and no effective solution is provided at present aiming at the existing problems.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides an intelligent decision making system and method based on management object portrayal, aiming at the performance evaluation and management portrayal of a management object, so that the relation between target-oriented performance and resource factor variables is established, the management and the control can be realized, the digital index data of the management object is predicted, trended, abnormal and evaluated, and the functions of visualization, control and the like of a management process are finished.
In a first aspect, an intelligent decision-making method based on user portrait data is provided, the method including:
s101, decomposing according to an enterprise strategic objective to establish an enterprise value chain model;
step S102, determining key management objects in a value chain, performance indexes of the key management objects and influence factors of the performance indexes according to a value chain model;
step S103, establishing a performance evaluation model of the management object, and establishing portrait description of the management object;
and S104, monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
In one possible implementation manner, the step S101 is specifically: enterprise management target data are obtained according to enterprise strategic target decomposition, key management objects are identified, target performance of the management objects is obtained according to the enterprise management target data and the key management objects, and a value chain model of the enterprise management objects is established according to a weight analysis method.
In one possible implementation manner, the establishing a performance evaluation model of the management object is specifically: and establishing a management object performance evaluation model according to the performance indexes of the key management objects in the enterprise value chain model and the influence factors of the performance indexes.
Specifically, the establishing a management object performance evaluation model according to the performance indicators of the key management objects and the influence factors specifically includes: decomposing the resource influence factor information influencing the management object, determining the weight of the influence factor according to experience and data, obtaining a performance evaluation result through analysis and calculation, comparing the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, and adjusting and optimizing a performance evaluation model according to the analysis result to obtain a final performance evaluation model.
Specifically, the establishing of the management object performance evaluation model according to the performance indicator of the key management object and the influence factor specifically includes: establishing a management object performance evaluation model according to the performance indexes of the key management objects and the influence factors by a first preset method;
the first preset method specifically comprises the following steps: a hierarchical analysis method and/or a fuzzy evaluation method.
In one possible implementation, the creating of the portrait description of the management object specifically includes: and acquiring basic information, performance indexes and resource basic data of a management object in the performance evaluation model, and portraying the management object according to the basic information, the performance indexes and the resource basic data of the management object.
In one possible implementation, the determining the management path specifically includes: through adjusting the performance and performance index influence factors of the key management objects, different performance results of the management objects are predicted, and an optimal management path is selected according to the target performance requirements of the management objects, so that the management performance target of the management objects is ensured to be achieved.
In a second aspect, an intelligent decision making system based on user profile data is provided, the system comprising:
the first establishing module is used for decomposing according to an enterprise strategic objective and establishing an enterprise value chain model;
the determining module is used for determining key management objects in the value chain, performance of the key management objects and influence factors of performance indexes according to the value chain model;
the second establishing module is used for establishing a performance evaluation model of the management object;
the third building module is used for building the portrait description of the management object;
and the decision module is used for monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
In one possible implementation manner, the first establishing module is specifically configured to obtain enterprise management target data according to enterprise strategic target decomposition, identify a key management object, obtain a target performance of the management object according to the enterprise management target data and the key management object, and establish a value chain model of the enterprise management object according to a weight analysis method.
In one possible implementation, the second establishing module specifically includes an establishing unit;
and the establishing unit is used for establishing a management object performance evaluation model according to the performance indexes of the key management objects and the influence factors.
In a possible implementation manner, the establishing unit is specifically configured to decompose resource influence factor information that affects the management object, determine a weight of the influence factor according to experience and data, obtain a performance evaluation result through analysis and calculation, compare the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, and adjust and optimize a performance evaluation model according to the analysis result to obtain a final performance evaluation model.
In one possible implementation manner, the establishing unit is specifically configured to establish a management object performance evaluation model according to the performance indicator of the key management object and the influencing factor through a first preset method;
the first preset method specifically comprises the following steps: hierarchical analysis methods or fuzzy evaluation methods.
In one possible implementation manner, the third establishing module is specifically configured to acquire basic information, performance indicators and resource basic data of a management object in the performance evaluation model, and to perform portrayal on the management object according to the basic information, performance indicators and resource basic data of the management object.
In a possible implementation manner, the decision module is configured to, when determining the management path, specifically, predict different performance results of the management object by adjusting performance and performance index influencing factors of the key management object, and select an optimal management path according to a target performance requirement of the management object, so as to ensure that a management performance target of the management object is achieved.
In a third aspect, an electronic device is provided, including: a processor and a memory;
the memory for storing a computer program;
the processor is used for executing the intelligent decision method based on the user portrait data by calling the computer program.
In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program, which when run on a computer, enables the computer to perform the above-described intelligent decision-making method based on user representation data.
By means of the technical scheme, the technical scheme provided by the application at least has the following advantages:
the method supports strategic planning and performance management of enterprise digital transformation through a value chain model and a performance evaluation model; through the management portrait model, the display of the management data of enterprise digital transformation is richer, the performance prediction, trend and process control of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the invention. Also, like reference numerals are used to refer to like parts throughout the drawings.
FIG. 1 is a process flow diagram of an intelligent user profile data-based decision-making method provided herein;
FIG. 2 is a schematic diagram of an intelligent decision-making method based on user profile data according to the present application;
FIG. 3 is a block diagram of an intelligent decision-making system based on user profile data as provided herein;
fig. 4 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The present application provides an intelligent decision method, system, electronic device and readable storage medium based on user portrait data, and the following describes in detail embodiments of the present application with reference to the accompanying drawings.
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, a schematic flow chart of an intelligent decision method based on user portrait data provided by the present application is provided, where the method includes the following steps:
s101, decomposing according to an enterprise strategic objective to establish an enterprise value chain model;
step S102, determining key management objects in a value chain, performance of the key management objects and influence factors of performance indexes according to a value chain model;
step S103, establishing a performance evaluation model of the management object, and establishing portrait description of the management object;
and S104, monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
In one possible implementation manner, step S101 is specifically: enterprise management target data are obtained according to enterprise strategic target decomposition, key management objects are identified, target performance of the management objects is obtained according to the enterprise management target data and the key management objects, and a value chain model of the enterprise management objects is established according to a weight analysis method.
The decomposition according to the enterprise strategic objective specifically comprises the following steps: and decomposing according to the value guidance of the enterprise target and the strategic target of the enterprise.
In one possible implementation, the management object is a specific object for managing the enterprise by implementing enterprise target data;
for example, the management objects of a certain development enterprise specifically include: individuals, teams, projects, systems.
The management object is a carrier of enterprise value, and the management object outputs enterprise management behavior data.
In one possible implementation manner, the establishing of the performance evaluation model of the management object is specifically as follows: and establishing a management object performance evaluation model according to the performance indexes of the key management objects in the enterprise value chain model and the influence factors of the performance indexes.
In one possible implementation, the establishing a management object performance evaluation model according to the performance indicators of the key management objects and the influence factors specifically includes: decomposing resource influence factor information influencing a management object, determining the weight of the influence factor according to experience and data, obtaining a performance evaluation result through analysis and calculation, comparing the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, adjusting and optimizing a performance evaluation model according to the analysis result, and obtaining a final performance evaluation model.
In one possible implementation manner, the establishing of the management object performance evaluation model according to the performance indicators and the influence factors of the key management objects is specifically as follows: establishing a management object performance evaluation model according to the performance indexes and the influence factors of the key management object by a first preset method;
the first preset method specifically comprises the following steps: a hierarchical analysis method and/or a fuzzy evaluation method.
In one possible implementation, creating a representation description of the management object specifically includes: and acquiring basic information, performance indexes and resource basic data of the management object in the performance evaluation model, and portraying the management object according to the basic information, the performance indexes and the resource basic data of the management object.
In one possible implementation, determining the management path is specifically: through adjusting the performance and performance index influence factors of the key management objects, different performance results of the management objects are predicted, and an optimal management path is selected according to the target performance requirements of the management objects, so that the management performance target of the management objects is ensured to be achieved.
Based on the technical solution provided by the present application, the following explains the technical solution in detail, as shown in fig. 2, which is a specific processing diagram of a possible implementation manner of an intelligent decision method based on user portrait data provided by the present application.
Specifically, decomposing according to the value guidance of an enterprise target and the strategic business target of the enterprise to obtain enterprise target data;
in one possible implementation, the enterprise target data includes: managing the key objects;
the management object is a concrete object for realizing enterprise target data to manage the enterprise;
for example, the management objects of a certain development enterprise specifically include: individuals, teams, projects, systems.
The management object is a carrier of enterprise value, and the management object outputs enterprise management behavior data.
Specifically, a value chain model is determined according to key management objects in the enterprise target data;
in one possible implementation, determining a value chain model from key management objects includes: and determining a value chain model according to the specific value embodiment of the management object and a value system formed by the management object.
Specifically, performance indexes of key management objects in the value chain model are determined according to the value chain model;
in one possible implementation, determining performance indicators for key management objects in the value chain model specifically includes: and calculating the performance index of the management object by an analytic hierarchy process and a weight analysis process.
Specifically, influence factor information influencing the performance index is obtained according to the performance index analysis;
specifically, an enterprise performance evaluation system is established according to the performance indexes and the influence factor information of the key management objects;
in one possible implementation manner, the constructing of the performance evaluation model according to the performance indicators and the influence factor information of the key management objects specifically includes: decomposing the information of the influence factors, determining the weight of the influence factors according to experience, obtaining a performance evaluation result through analysis and calculation, comparing the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, and adjusting and optimizing according to the analysis result to obtain a performance evaluation model.
Specifically, a user portrait model of a management object is established according to a performance evaluation model;
in one possible implementation, the creating a user profile model of the management object according to the performance evaluation model specifically includes: acquiring basic information and a performance index of a management object in a performance evaluation model, acquiring index basic data, and portraying the management object according to the basic information, the performance index and the index basic data of the management object by a preset method;
the establishing of the user portrait model of the management object according to the performance evaluation model specifically comprises the following steps: decomposing the value chain model into specific indexes of the management object, determining the indexes of the management object through a brain storm by using a user store method aiming at the management object, and establishing a user portrait model of the management object according to influence factors influencing key attributes of the indexes;
further, a representation instantiation of the management object is formed using actual result data of the management object, the management representation being an objective description of the management object for studying management behavior and performance of the management object.
Aiming at the performance of key assessment, the results in a longitudinal direction (compared with the historical data of the user) and a transverse direction (compared with the examples of the similar management objects) can be obtained, and the goal making, the goal achievement evaluation and the improved opportunity recognition (GAP analysis) of the management objects can be completed through the performance indexes.
Based on the portrait management method, management targets, evaluation indexes, operation data, display, monitoring and control are organically combined, cross-management-domain combination management can be achieved, enterprise digital transformation can be effectively promoted, in the financial field, for example, through portrayal of clients, products, services, systems, projects, teams and individuals, tactical and tactical target guidance is more effectively driven, and in the process of problem analysis, management dimensionality is greatly expanded compared with the prior art, and efficiency and capability of problem solving are directly improved.
Specifically, a management result of the management object is obtained through analysis of a value chain model, a performance evaluation model and a user portrait model of the management object, a management path is determined according to the management result, and function aid decision is executed according to the management path.
The specific determination of the management path is as follows: through adjusting the performance and performance index influence factors of the key management objects, different performance results of the management objects are predicted, and an optimal management path is selected according to the target performance requirements of the management objects, so that the management performance target of the management objects is ensured to be achieved.
Furthermore, resource factors are adjusted, various choices and combinations of choices are available, the choices and the combinations are management paths, the management paths can be preferentially selected through forecasting the management paths and corresponding performance indexes, and the purpose of intelligent aid decision can be achieved.
The method supports strategic planning and performance management of enterprise digital transformation through a value chain model and a performance evaluation model; through the management portrait model, the display of the management data of enterprise digital transformation is richer, the performance prediction, trend and process control of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
Based on the above technical solution of the intelligent decision method based on user portrait data provided by the present application, the present application correspondingly provides a schematic structural diagram of an intelligent decision system based on user portrait data, as shown in fig. 3, the intelligent decision system 30 based on user portrait data of the present application may include:
the first establishing module 301 is used for decomposing according to an enterprise strategic objective to establish an enterprise value chain model;
a determining module 302, configured to determine, according to the value chain model, a key management object in the value chain, performance of the key management object, and an influence factor of the performance indicator;
the second establishing module 303 is used for establishing a performance evaluation model of the management object;
a third establishing module 304, configured to establish a representation of the management object;
and the decision module 305 is used for monitoring the management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
In one possible implementation, the first building module 301 is specifically configured to build a management object performance evaluation model according to performance indicators of key management objects in the enterprise value chain model and influence factors of the performance indicators according to enterprise strategic objective decomposition.
In one possible implementation, the second establishing module 303 specifically includes an establishing unit;
wherein the content of the first and second substances,
and the establishing unit is used for establishing a management object performance evaluation model according to the performance indexes and the influence factors of the key management object.
In a possible implementation manner, the establishing unit is specifically configured to decompose resource influence factor information that affects the management object, determine a weight of the influence factor according to experience and data, obtain a performance evaluation result through analysis and calculation, compare the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, and adjust and optimize the performance evaluation model according to the analysis result to obtain a final performance evaluation model.
In one possible implementation manner, the establishing unit is specifically configured to establish a management object performance evaluation model according to the performance indicators and the influence factors of the key management objects through a first preset method;
the first preset method specifically comprises the following steps: hierarchical analysis methods or fuzzy evaluation methods.
In one possible implementation, the third building module 304 is specifically configured to obtain basic information, performance indicators, and resource basic data of the management objects in the performance evaluation model, and to perform profiling on the management objects according to the basic information, performance indicators, and resource basic data of the management objects.
In one possible implementation, the decision module 305 is configured to determine a management path, and in particular, to adjust performance and performance index influencing factors of a key management object, predict different performance results of the management object, and select an optimal management path according to a target performance requirement of the management object, so as to ensure that a management performance target of the management object is achieved.
The method supports strategic planning and performance management of enterprise digital transformation through a value chain model and a performance evaluation model; through the management portrait model, the display of the management data of enterprise digital transformation is richer, the performance prediction, trend and process control of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
Referring now to fig. 4, a block diagram of an electronic device (e.g., the terminal device of fig. 1) 400 suitable for implementing embodiments of the present application is shown. The terminal device in the embodiments of the present application may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing device 401, performs the above-described functions defined in the methods of the embodiments of the present application.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.
Alternatively, the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
The electronic device provided by the application is suitable for any embodiment of the intelligent decision method based on the user portrait data, and is not described herein again.
The method supports strategic planning and performance management of enterprise digital transformation through a value chain model and a performance evaluation model; through the management portrait model, the display of the management data of enterprise digital transformation is richer, the performance prediction, trend and process control of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
The present application provides a computer-readable storage medium storing a computer program that causes a computer to execute the intelligent decision method based on user portrait data shown in the above embodiments.
The computer-readable storage medium provided in the present application is applicable to any embodiment of the above-mentioned intelligent decision method based on user portrait data, and is not described herein again.
The method supports strategic planning and performance management of enterprise digital transformation through a value chain model and a performance evaluation model; through the management portrait model, the display of the management data of enterprise digital transformation is richer, the performance prediction, trend and process control of the management object are more convenient, the resource utilization rate is effectively improved, and the enterprise management efficiency and benefit are improved.
It will be understood by those within the art that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. Those skilled in the art will appreciate that the computer program instructions may be implemented by a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the aspects specified in the block or blocks of the block diagrams and/or flowchart illustrations disclosed herein.
The modules of the device can be integrated into a whole or can be separately deployed. The modules can be combined into one module, and can also be further split into a plurality of sub-modules.
Those skilled in the art will appreciate that the drawings are merely schematic representations of one preferred embodiment and that the blocks or flow diagrams in the drawings are not necessarily required to practice the present application.
Those skilled in the art will appreciate that the modules in the devices in the embodiments may be distributed in the devices in the embodiments according to the description of the embodiments, and may be correspondingly changed in one or more devices different from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
The above application serial numbers are for descriptive purposes only and do not represent the merits of the embodiments.
The disclosure of the present application is only a few specific embodiments, but the present application is not limited to these, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. An intelligent decision-making method based on user portrait data, the method comprising:
s101, decomposing according to an enterprise strategic objective to establish an enterprise value chain model;
step S102, determining key management objects in a value chain, performance indexes of the key management objects and influence factors of the performance indexes according to a value chain model;
step S103, establishing a performance evaluation model of the management object, and establishing portrait description of the management object;
and S104, monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
2. The method according to claim 1, wherein the step S101 is specifically: enterprise management target data are obtained according to enterprise strategic target decomposition, key management objects are identified, target performance of the management objects is obtained according to the enterprise management target data and the key management objects, and a value chain model of the enterprise management objects is established according to a weight analysis method.
3. The method according to claim 1, wherein the establishing of the performance evaluation model of the management object is specifically: and establishing a management object performance evaluation model according to the performance indexes of the key management objects in the enterprise value chain model and the influence factors of the performance indexes.
4. The method of claim 3, wherein the establishing a management object performance evaluation model based on the performance indicators of the key management objects in the enterprise value chain model and the influencing factors of the performance indicators specifically comprises: decomposing the resource influence factor information influencing the management object, determining the weight of the influence factor according to experience and data, obtaining a performance evaluation result through analysis and calculation, comparing the performance evaluation result obtained through calculation with an actual result to obtain an analysis result, and adjusting and optimizing a performance evaluation model according to the analysis result to obtain a final performance evaluation model.
5. The method according to claim 3, wherein the establishing of the management object performance evaluation model based on the performance indicators of the key management objects and the influencing factors is specifically: establishing a management object performance evaluation model according to the performance indexes of the key management objects and the influence factors by a first preset method;
the first preset method specifically comprises the following steps: a hierarchical analysis method and/or a fuzzy evaluation method.
6. The method of claim 1, wherein creating a representation description of the managed object specifically comprises: and acquiring basic information, performance indexes and resource basic data of a management object in the performance evaluation model, and portraying the management object according to the basic information, the performance indexes and the resource basic data of the management object.
7. The method according to any one of claims 1 to 4, characterized in that said determining a management path is in particular: through adjusting the performance and performance index influence factors of the key management objects, different performance results of the management objects are predicted, and an optimal management path is selected according to the target performance requirements of the management objects, so that the management performance target of the management objects is ensured to be achieved.
8. An intelligent decision making system based on user profile data, the system comprising:
the first establishing module is used for decomposing according to an enterprise strategic objective and establishing an enterprise value chain model;
the determining module is used for determining key management objects in the value chain, performance of the key management objects and influence factors of performance indexes according to the value chain model;
the second establishing module is used for establishing a performance evaluation model of the management object;
the third building module is used for building the portrait description of the management object;
and the decision module is used for monitoring a management process according to the performance evaluation model and the portrait description, determining a management path by adjusting performance and performance index influence factors of a key management object, and executing intelligent auxiliary decision according to the management path.
9. An electronic device, comprising: a processor and a memory;
the memory for storing a computer program;
the processor is configured to execute the intelligent decision method based on user portrait data according to any one of the above claims 1 to 7 by calling the computer program.
10. A computer-readable storage medium for storing a computer program which, when run on a computer, causes the computer to perform the intelligent user representation data based decision-making method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110336666.4A CN113240229A (en) | 2021-03-29 | 2021-03-29 | Intelligent decision making system and method based on user portrait data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110336666.4A CN113240229A (en) | 2021-03-29 | 2021-03-29 | Intelligent decision making system and method based on user portrait data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113240229A true CN113240229A (en) | 2021-08-10 |
Family
ID=77130704
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110336666.4A Pending CN113240229A (en) | 2021-03-29 | 2021-03-29 | Intelligent decision making system and method based on user portrait data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113240229A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104778539A (en) * | 2015-03-26 | 2015-07-15 | 深圳供电局有限公司 | Method and system for carrying out performance evaluation on assets management of power grid |
| CN108921425A (en) * | 2018-06-28 | 2018-11-30 | 广东电网有限责任公司 | A kind of method, system and the server of asset item classifcation of investment |
| CN109460943A (en) * | 2018-12-14 | 2019-03-12 | 平安城市建设科技(深圳)有限公司 | KPI Key Performance Indicator management method, equipment, storage medium and device |
| CN109623843A (en) * | 2019-01-22 | 2019-04-16 | 重庆众兄共创科技有限公司 | Home intelligent service robot based on cloud computing intelligent decision making algorithm |
| CN110516941A (en) * | 2019-08-16 | 2019-11-29 | 北京慧辰资道资讯股份有限公司 | One kind producing hidden danger method and device based on big data analysis enterprise |
| CN111210108A (en) * | 2019-12-19 | 2020-05-29 | 深圳供电局有限公司 | Performance management and control model of electric power material supply chain |
| CN111461471A (en) * | 2019-01-21 | 2020-07-28 | 国网能源研究院有限公司 | Method for analyzing and dynamically identifying company strategic environment trend |
| CN112418571A (en) * | 2019-08-20 | 2021-02-26 | 华为技术有限公司 | Method and device for enterprise environmental protection comprehensive evaluation |
-
2021
- 2021-03-29 CN CN202110336666.4A patent/CN113240229A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104778539A (en) * | 2015-03-26 | 2015-07-15 | 深圳供电局有限公司 | Method and system for carrying out performance evaluation on assets management of power grid |
| CN108921425A (en) * | 2018-06-28 | 2018-11-30 | 广东电网有限责任公司 | A kind of method, system and the server of asset item classifcation of investment |
| CN109460943A (en) * | 2018-12-14 | 2019-03-12 | 平安城市建设科技(深圳)有限公司 | KPI Key Performance Indicator management method, equipment, storage medium and device |
| CN111461471A (en) * | 2019-01-21 | 2020-07-28 | 国网能源研究院有限公司 | Method for analyzing and dynamically identifying company strategic environment trend |
| CN109623843A (en) * | 2019-01-22 | 2019-04-16 | 重庆众兄共创科技有限公司 | Home intelligent service robot based on cloud computing intelligent decision making algorithm |
| CN110516941A (en) * | 2019-08-16 | 2019-11-29 | 北京慧辰资道资讯股份有限公司 | One kind producing hidden danger method and device based on big data analysis enterprise |
| CN112418571A (en) * | 2019-08-20 | 2021-02-26 | 华为技术有限公司 | Method and device for enterprise environmental protection comprehensive evaluation |
| CN111210108A (en) * | 2019-12-19 | 2020-05-29 | 深圳供电局有限公司 | Performance management and control model of electric power material supply chain |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20140089945A1 (en) | Adaptive tree structure for visualizing data | |
| CN110390493B (en) | Task management method and device, storage medium and electronic equipment | |
| CN111311188A (en) | Task processing method, device, medium and electronic equipment | |
| US20170104779A1 (en) | Vulnerability exposing application characteristic variation identification engine | |
| CN111861225A (en) | Task allocation method and device, electronic equipment and storage medium | |
| Zhang et al. | Service workload patterns for Qos-driven cloud resource management | |
| CN115099607A (en) | Test data fusion and evaluation management system | |
| CN113159453B (en) | Resource data prediction method, device, equipment and storage medium | |
| CN116502869B (en) | Task allocation method, device, electronic equipment and computer readable medium | |
| CN109240916A (en) | Information output controlling method, device and computer readable storage medium | |
| CN112837155A (en) | Method and device for registering and executing intelligent contracts in block chain | |
| CN113240229A (en) | Intelligent decision making system and method based on user portrait data | |
| CN116563007A (en) | Credit risk prediction method, electronic equipment and readable storage medium | |
| CN115048561A (en) | Recommendation information determination method and device, electronic equipment and readable storage medium | |
| CN112416989A (en) | Management method and device of Internet performance broker platform and electronic equipment | |
| CN111754984A (en) | Text selection method, device, equipment and computer readable medium | |
| CN113592290B (en) | Industry chain collaborative solution recommendation method, device, equipment and storage medium | |
| CN110096601A (en) | Graph key area determination method, device, medium, server and user terminal | |
| CN115835229B (en) | Method, device, equipment and storage medium for determining transport network planning scheme | |
| CN112836857B (en) | Oil and gas exploration optimization method and device | |
| WO2023155425A1 (en) | Goods transfer method and apparatus, electronic device, and computer-readable medium | |
| US10997535B1 (en) | System, method, and computer program for predicting delays in delivering a project to a customer | |
| US20230137566A1 (en) | Systems and methods for automated change review for enhanced network and data security | |
| CN112328340B (en) | Model process display method, device, electronic equipment and storage medium | |
| US20240086045A1 (en) | Information processing method and apparatus, terminal, and storage medium |
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 |