CN114386858B - Intelligent risk decision platform - Google Patents
Intelligent risk decision platform Download PDFInfo
- Publication number
- CN114386858B CN114386858B CN202210043619.5A CN202210043619A CN114386858B CN 114386858 B CN114386858 B CN 114386858B CN 202210043619 A CN202210043619 A CN 202210043619A CN 114386858 B CN114386858 B CN 114386858B
- Authority
- CN
- China
- Prior art keywords
- decision
- module
- risk
- rule
- engine
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 claims abstract description 36
- 238000012502 risk assessment Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 14
- 210000004556 brain Anatomy 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 239000000314 lubricant Substances 0.000 claims description 3
- 238000003032 molecular docking Methods 0.000 claims description 3
- 230000000149 penetrating effect Effects 0.000 claims description 3
- 210000001503 joint Anatomy 0.000 claims 1
- 238000012986 modification Methods 0.000 abstract description 4
- 230000004048 modification Effects 0.000 abstract description 4
- 230000003044 adaptive effect Effects 0.000 abstract description 3
- 230000008878 coupling Effects 0.000 abstract description 3
- 238000010168 coupling process Methods 0.000 abstract description 3
- 238000005859 coupling reaction Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
-
- 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent risk decision platform. The invention integrates a big data platform, a decision engine and a flow engine in a collocation mode by taking products, projects and enterprises as main lines, realizes flexible collocation and flow decision of an enterprise risk assessment system, realizes an efficient and convenient customized customer risk assessment system, and has no influence on the service of other modules by logic modification of a single module through the bottom layer of a micro-service architecture member. Therefore, risk decision configuration can be rapidly carried out on newly added products and projects, and a wind control model and a decision flow of an adaptive product can be rapidly configured by combining decision engine indexes and a scoring card model. The risk approval process is independent, the rule decision module is independent, the coupling between the risk approval process and the rule decision module can be reduced, the accuracy of risk decision is improved, the decision result is rapidly output, the efficiency is improved, and the wind control decision requirement of enterprises is met.
Description
Technical Field
The invention relates to the technical field of enterprise operation systems, in particular to an intelligent risk decision platform.
Background
At present, a plurality of enterprises can choose to evaluate the risks of new products and projects in the market so as to make corresponding decisions. However, most evaluation rules are processed independently from the process or in a manual judgment mode when a plurality of enterprises perform risk evaluation at present, the time efficiency of the mode is low and cannot be related to the process decision, the application channel, the approval process and the risk decision are mutually independent, and the association needs to be performed through developing codes, so that labor and time are consumed.
Accordingly, the prior art has drawbacks and needs improvement.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent risk decision platform.
The technical scheme of the invention is as follows: providing an intelligent risk decision platform, comprising: the system comprises an external data module, a data processing module, a rule engine module, a flow engine, a parameter configuration module and a core decision module;
And an externally connected data module: the external data source can be quickly docked and acquired through interface configuration, and the module is mainly used for data docking and acquisition;
and a data processing module: the method is used for processing, cleaning and calculating data;
The rule engine module: the method is used for carrying out index and rule configuration, can carry out parameter configuration of the index, carries out logic integration and decision making on the data result through association with the project, and outputs the decision result;
The flow engine: setting business process trend through process configuration, node definition and decision configuration, and configuring a risk auditing process by matching with the output of a decision engine;
Parameter configuration module: the product and project configuration information is used for penetrating through the whole risk approval and control flow, and different risk models, decision rules, flow trends and approval levels can be configured according to different products and projects;
The core decision module: the core decision module is the brain of the overall design, used in tandem and as a lubricant for each module, including other external module interfacing and logic processing.
Further, the specific working steps of the intelligent risk decision platform are as follows:
step 1: enterprises needing to perform risk assessment input relevant parameters of products and projects;
Step 2: the core decision module acquires configuration parameters according to the enterprise attribution products and projects, and activates project flows;
step 3: the process engine starts the corresponding project process and triggers the rule decision according to the process node;
step 4: executing a decision model or rule configured by the node by the rule engine, and triggering index calculation;
Step 5: the external data module acquires corresponding data and processes the index data through the data processing module;
step 6: returning the processed index data to a rule engine to make rule or model decision;
Step 7: driving the flow according to the rule result, and interacting with the rule engine for a plurality of times, so as to execute flow judgment;
Step 8: the core decision module integrates the flow and the decision result, obtains the wind control approval result and feeds back to the demand enterprises.
By adopting the scheme, the invention integrates a big data platform, a decision engine and a flow engine in a collocation mode by taking products, projects and enterprises as main lines, realizes flexible collocation and flow decision of an enterprise risk assessment system, realizes an efficient and convenient customized customer risk assessment system, and has independent modules through the bottom layer of a micro-service architecture member, so that logic modification of a single module does not influence services of other modules. Therefore, risk decision configuration can be rapidly carried out on newly added products and projects, and a wind control model and a decision flow of an adaptive product can be rapidly configured by combining decision engine indexes and a scoring card model. The risk approval process is independent, the rule decision module is independent, the coupling between the risk approval process and the rule decision module can be reduced, the accuracy of risk decision is improved, the decision result is rapidly output, the efficiency is improved, and the wind control decision requirement of enterprises is met.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Fig. 2 is a block diagram of the workflow of the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings and the specific embodiments.
Referring to fig. 1, the present invention provides an intelligent risk decision platform, which includes: the system comprises an external data module, a data processing module, a rule engine module, a flow engine, a parameter configuration module and a core decision module;
And an externally connected data module: the external data source can be quickly docked and acquired through interface configuration, and the module is mainly used for data docking and acquisition;
and a data processing module: the method is used for processing, cleaning and calculating data;
The rule engine module: the method is used for carrying out index and rule configuration, can carry out parameter configuration of the index, carries out logic integration and decision making on the data result through association with the project, and outputs the decision result;
The flow engine: setting business process trend through process configuration, node definition and decision configuration, and configuring a risk auditing process by matching with the output of a decision engine;
Parameter configuration module: the product and project configuration information is used for penetrating through the whole risk approval and control flow, and different risk models, decision rules, flow trends and approval levels can be configured according to different products and projects;
The core decision module: the core decision module is the brain of the overall design, used in tandem and as a lubricant for each module, including other external module interfacing and logic processing.
Referring to fig. 2, the specific working steps of the intelligent risk decision platform are as follows:
step 1: enterprises needing to perform risk assessment input relevant parameters of products and projects;
Step 2: the core decision module acquires configuration parameters according to the enterprise attribution products and projects, and activates project flows;
step 3: the process engine starts the corresponding project process and triggers the rule decision according to the process node;
step 4: executing a decision model or rule configured by the node by the rule engine, and triggering index calculation;
Step 5: the external data module acquires corresponding data and processes the index data through the data processing module;
step 6: returning the processed index data to a rule engine to make rule or model decision;
Step 7: driving the flow according to the rule result, and interacting with the rule engine for a plurality of times, so as to execute flow judgment;
Step 8: the core decision module integrates the flow and the decision result, obtains the wind control approval result and feeds back to the demand enterprises.
The invention integrates a big data platform, a decision engine and a flow engine in a collocation mode by taking products, projects and enterprises as main lines, realizes flexible collocation and flow decision of an enterprise risk assessment system, realizes an efficient and convenient customized customer risk assessment system, and has no influence on the service of other modules by logic modification of a single module through the bottom layer of a micro-service architecture member. Therefore, risk decision configuration can be rapidly carried out on newly added products and projects, and a wind control model and a decision flow of an adaptive product can be rapidly configured by combining decision engine indexes and a scoring card model. The risk approval process is independent, the rule decision module is independent, the coupling between the risk approval process and the rule decision module can be reduced, the accuracy of risk decision is improved, the decision result is rapidly output, the efficiency is improved, and the wind control decision requirement of enterprises is met.
The foregoing description of the preferred embodiment of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (1)
1. An intelligent risk decision platform, comprising: the system comprises an external data module, a data processing module, a rule engine module, a flow engine, a parameter configuration module and a core decision module;
And an externally connected data module: the external data source can be quickly docked and acquired through interface configuration, and the module is mainly used for data docking and acquisition;
and a data processing module: the method is used for processing, cleaning and calculating data;
The rule engine module: the method is used for carrying out index and rule configuration, can carry out parameter configuration of the index, carries out logic integration and decision making on the data result through association with the project, and outputs the decision result;
The flow engine: setting business process trend through process configuration, node definition and decision configuration, and configuring a risk auditing process by matching with the output of a decision engine;
Parameter configuration module: the product and project configuration information is used for penetrating through the whole risk approval and control flow, and different risk models, decision rules, flow trends and approval levels can be configured according to different products and projects;
The core decision module: the core decision module is the brain of the whole design, is used for being connected in series and used as a lubricant of each module, and comprises the butt joint and logic treatment of other external modules;
the specific working steps of the intelligent risk decision platform are as follows:
step 1: enterprises needing to perform risk assessment input relevant parameters of products and projects;
Step 2: the core decision module acquires configuration parameters according to the enterprise attribution products and projects, and activates project flows;
step 3: the process engine starts the corresponding project process and triggers the rule decision according to the process node;
step 4: executing a decision model or rule configured by the node by the rule engine, and triggering index calculation;
Step 5: the external data module acquires corresponding data and processes the index data through the data processing module;
step 6: returning the processed index data to a rule engine to make rule or model decision;
Step 7: driving the flow according to the rule result, and interacting with the rule engine for a plurality of times, so as to execute flow judgment;
Step 8: the core decision module integrates the flow and the decision result, obtains the wind control approval result and feeds back to the demand enterprises.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210043619.5A CN114386858B (en) | 2022-01-14 | 2022-01-14 | Intelligent risk decision platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210043619.5A CN114386858B (en) | 2022-01-14 | 2022-01-14 | Intelligent risk decision platform |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114386858A CN114386858A (en) | 2022-04-22 |
CN114386858B true CN114386858B (en) | 2024-05-31 |
Family
ID=81202518
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210043619.5A Active CN114386858B (en) | 2022-01-14 | 2022-01-14 | Intelligent risk decision platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114386858B (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6876991B1 (en) * | 1999-11-08 | 2005-04-05 | Collaborative Decision Platforms, Llc. | System, method and computer program product for a collaborative decision platform |
CN107886430A (en) * | 2017-11-29 | 2018-04-06 | 南京甄视智能科技有限公司 | Risk control method and system after loan |
CN109345380A (en) * | 2018-11-19 | 2019-02-15 | 上海指旺信息科技有限公司 | Risk control platform construction method and system |
WO2020048056A1 (en) * | 2018-09-06 | 2020-03-12 | 平安科技(深圳)有限公司 | Risk decision method and apparatus |
WO2020181908A1 (en) * | 2019-03-08 | 2020-09-17 | 阿里巴巴集团控股有限公司 | Risk decision-making method and apparatus |
WO2021057130A1 (en) * | 2019-09-26 | 2021-04-01 | 支付宝(杭州)信息技术有限公司 | Intelligent risk control decision-making method and system, service processing method and system |
CN112862339A (en) * | 2021-02-25 | 2021-05-28 | 厦门渊亭信息科技有限公司 | Risk decision method and system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140278733A1 (en) * | 2013-03-15 | 2014-09-18 | Navin Sabharwal | Risk management methods and systems for enterprise processes |
-
2022
- 2022-01-14 CN CN202210043619.5A patent/CN114386858B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6876991B1 (en) * | 1999-11-08 | 2005-04-05 | Collaborative Decision Platforms, Llc. | System, method and computer program product for a collaborative decision platform |
CN107886430A (en) * | 2017-11-29 | 2018-04-06 | 南京甄视智能科技有限公司 | Risk control method and system after loan |
WO2020048056A1 (en) * | 2018-09-06 | 2020-03-12 | 平安科技(深圳)有限公司 | Risk decision method and apparatus |
CN109345380A (en) * | 2018-11-19 | 2019-02-15 | 上海指旺信息科技有限公司 | Risk control platform construction method and system |
WO2020181908A1 (en) * | 2019-03-08 | 2020-09-17 | 阿里巴巴集团控股有限公司 | Risk decision-making method and apparatus |
WO2021057130A1 (en) * | 2019-09-26 | 2021-04-01 | 支付宝(杭州)信息技术有限公司 | Intelligent risk control decision-making method and system, service processing method and system |
CN112862339A (en) * | 2021-02-25 | 2021-05-28 | 厦门渊亭信息科技有限公司 | Risk decision method and system |
Non-Patent Citations (2)
Title |
---|
不确定性因素的风险项目决策;张文峰;中山大学学报论丛;20031030(05);全文 * |
供应链风险评估及决策模型;曾丽萍;孟志青;;经济论坛;20070215(04);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN114386858A (en) | 2022-04-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112446526B (en) | Production scheduling system and method | |
CN109598416B (en) | Dynamic scheduling system and scheduling method for composite material workshop | |
US11314238B2 (en) | Plant operational plan optimization discrete event simulator device and method | |
US20070078702A1 (en) | Integrated technology quality model | |
US7242994B2 (en) | Method and system of production planning | |
CN110796544A (en) | Asset management wind control engine configuration method and device | |
CN104866969A (en) | Personal credit data processing method and device | |
CN106325887A (en) | Service process management method based on Activiti | |
CN114169766A (en) | Production management method and system for industrial capacity allocation | |
US10860989B2 (en) | Support for maintenance of a fleet of vehicles with intuitive display of repair analytics | |
CN109033356A (en) | The method and customer service system to label for customer service system log | |
CN104572068A (en) | Catalog driven order management for rule definition | |
CN108460511A (en) | A kind of workflow engine system and its implementation | |
CN107291515A (en) | A kind of custom end intelligent upgrade method and system based on feedback of status | |
CN110796416A (en) | Industrial networking based order processing method and computer storage medium | |
Demydenko | Method of selection of ERP systems using multi-criterial optimization models | |
CN117687356A (en) | Production scheduling method, terminal device and computer readable storage medium | |
CN114386858B (en) | Intelligent risk decision platform | |
CN115796328A (en) | Product process route simulation system and product performance prediction method | |
CN112416918B (en) | Data management system and working method thereof | |
CN113191880A (en) | Bank teller terminal cash adding suggestion determination method and device | |
CN112860672A (en) | Method and device for determining label weight | |
JP2024508825A (en) | Methods and systems for using robotic process automation to provide real-time case assistance to client support professionals | |
CN115082039A (en) | Data center management method and device, electronic equipment and storage medium | |
CN114266496A (en) | Policy landing effect evaluation method and system based on policy completeness analysis |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |