Intelligent data informatization management platform for business management

Abstract

The invention discloses an intelligent data informatization management platform for business management. The intelligent data informatization management platform mainly comprises an intelligent data platform, a visual analysis system, a project construction management system, a human resource management system, a bidding and tendering management system, an honor and achievement management system, a customer relationship management system, a contract management system and other applications. According to the invention, by constructing an informatization management platform, group concentration and data management of key business data are realized. And main member enterprises deploy ERP / supply chain systems, so that production and operation activities of main businesses are effectively supported, certain data are accumulated, and data analysis and mining of the project are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of information management systems, and in particular to an intelligent data information management platform for business management. Background Art

[0002] At present, the degree of informatization of each member enterprise is uneven. Even for enterprises that have already used some informatization systems, as the informatization application of enterprises gradually deepens, the existing application systems gradually expose problems such as outdated software system technology, no longer adapting to current work needs, and discrete information and technical systems. These problems have led to the current enterprise informatization software not playing a complete role, and the utilization rate is low, and the role of informatization in reducing burdens and increasing efficiency has not been maximized. It is mainly reflected in the following aspects.

[0003] The system information sharing is insufficient. Each system is relatively independent, scattered, and has a low degree of integration. The functions of each system cannot be integrated, and there is a lack of coordination between different businesses. There is an "application chimney" phenomenon. For example, the ERP system cannot directly connect to data such as contracts and orders. There is a lack of general basic support software to connect the bottom layer, making it difficult to solve the "information island" problem.

[0004] The business application effect is not good. Some application subsystems are complicated to operate. The process data is not intuitive enough. The statistical analysis functions are scattered. The user interface is outdated and not optimized for users. The application promotion efforts are not strong enough. As a result, the business function application effect of some application systems is not good and is no longer in line with the actual work requirements. For example, the human resources system cannot directly enter and manage the data of part-time employees.

[0005] Data processing is not advanced enough. After the initial information construction, a large amount of business data has been accumulated in the information systems of the group and its member companies. However, the databases between systems are independent of each other and of different types. There is a lack of unified standardized interfaces, and there is a lack of cross-departmental information exchange under a security mechanism. There is no automatic exchange between the group system, and the corresponding data specifications and standards are not perfect. Production and operation statistical data cannot be automatically generated and saved during the production management process, and data informatization cannot be uploaded and issued. It needs to be processed manually, which greatly reduces the quality and timeliness of data.

[0006] There is a lack of applications in key links. The group and its member companies lack decision-making support systems. Management at all levels cannot grasp the macro data of the enterprise in a timely manner, and the control of risks is weak. Especially in terms of business operations, there is a lack of key applications such as customer management, progress management, and cost accounting, and it is impossible to achieve closed-loop management of the entire project process. Summary of the invention

[0007] The purpose of the present invention is to overcome the shortcomings of the prior art. To achieve the above purpose, an intelligent data information management platform for business management is adopted to solve the problems raised in the above background technology.

[0008] A smart data information management platform for business management, whose system architecture includes a basic layer, a platform layer, an application layer, and a portal layer; the platform includes a smart data platform, a visual analysis system, a project construction management system, a human resources management system, a bidding management system, an honor and achievement management system, a customer relationship management system, and a contract management system;

[0009] The smart data platform is used for group data exchange, unified management of user organizations, unified push of message notifications, unified setting of process nodes, unified management and control of login permissions, and provides technical underlying support for information construction;

[0010] The visual analysis system is used to understand the operation and production status of the group and its member companies, realize multi-dimensional and correlation analysis of various data, and provide professional decision-making data support for decision-makers, management and functional departments through intelligent mining and analysis;

[0011] The project construction management system is used for full-process and full-life cycle management of projects, making it easier for management departments to obtain project data and grasp project progress in a timely manner;

[0012] The human resource management system is used to manage employees based on human resource data;

[0013] The bidding management system is used to analyze the data of the entire bidding process, provide corresponding statistical reports, form reports, and obtain the latest data of bidding projects;

[0014] The honor and achievement management system is used to collect statistics on the intellectual property information obtained by member enterprises, form a unified data file, and unify and standardize the process of the group and member enterprises to apply for scientific and technological innovation achievements;

[0015] The customer relationship management system is used to conduct statistical analysis of customer data, form a unified customer evaluation system, and conduct refined management of suppliers;

[0016] The contract management system is used to uniformly manage various contracts, standardize contract management methods, and refine contract management processes.

[0017] As a further solution of the present invention: the smart data platform includes a data middle platform, a business middle platform, and a technical middle platform.

[0018] As a further solution of the present invention: the data middle platform includes a data resource center and a data support platform;

[0019] The technical platform includes a basic data engine, data modeling, and a data dashboard engine;

[0020] The business middle platform includes a message center, a unified authentication and rule center, as well as an organizational structure and a reporting center.

[0021] As a further solution of the present invention: the data middle platform, business middle platform, and technical middle platform are all deployed at the platform layer.

[0022] As a further solution of the present invention: the visual analysis system, project construction management system, human resource management system, bidding management system, honor and achievement management system, customer relationship management system, and contract management system are all deployed at the application layer.

[0023] As a further solution of the present invention: the basic layer is deployed with a dedicated cloud.

[0024] As a further solution of the present invention: the technical architecture of the information management platform adopts a microservice architecture and a distributed development standard basis.

[0025] As a further solution of the present invention: the data architecture of the information management platform includes a data source, a data preprocessing cluster, a data storage cluster, and a data management cluster.

[0026] As a further solution of the present invention: the data preprocessing cluster includes data access, data cleaning, data extraction, data output, and a data queue bus.

[0027] As a further solution of the present invention: the data management cluster includes data standard implementation, data management authorization, data quality supervision, data service sharing, and data application services.

[0028] Compared with the prior art, the present invention has the following technical effects:

[0029] By adopting the above technical solutions, we can improve management efficiency and reduce business risks by building a smart data platform, visual analysis system, project construction management system, human resources management system, bidding management system, honor and achievement management system, customer relationship management system, and contract management system. We have a complete project management system and operation and maintenance mechanism, a complete risk management mechanism, controllable risks, and online supervision functions such as real-time monitoring, automatic early warning, and supervision and evaluation of the internal control system, further improving the level of informatization and intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings:

[0031] Figure 1 A schematic diagram of the structure of the information management platform of the embodiment disclosed in this application;

[0032] Figure 2 This is an application architecture diagram of the information management platform of the embodiment disclosed in this application;

[0033] Figure 3 A technical architecture diagram of the information management platform of the disclosed embodiment of this application;

[0034] Figure 4 This is a diagram of the overall data architecture of the information management platform of the disclosed embodiment of this application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Please refer to Figure 1 and Figure 2 ,In an embodiment of the present invention, a smart data information management platform for business management, its system architecture includes a basic layer, a platform layer, an application layer, and a portal layer;

[0037] In this embodiment, the platform includes a smart data platform, a visual analysis system, a project construction management system, a human resources management system, a bidding management system, an honor and achievement management system, a customer relationship management system, and a contract management system;

[0038] Smart data platform, used for group data exchange, unified management of user organizations, unified push of message notifications, unified setting of process nodes, unified management of login permissions, and providing technical support for information construction;

[0039] Specifically, it mainly includes common data such as production and operation, financial management, equipment management, human resources, customers, contracts, etc. of the group and its subsidiaries. The data disk is calculated based on 10TB of data.

[0040] The visual analysis system is used to understand the operation and production status of the group and its member companies, realize multi-dimensional and correlation analysis of various data, and provide professional decision-making data support for decision-makers, management and functional departments through intelligent mining and analysis;

[0041] Specifically, it mainly includes the overall data of the group and enterprise macro and the decision-making analysis results data. Calculated based on 2TB of data.

[0042] The project construction management system is used for full-process and full-life cycle management of projects, making it easier for management departments to obtain project data and grasp project progress in a timely manner;

[0043] Specifically, the calculation is based on 3TB of data.

[0044] The human resource management system is used to manage employees based on human resource data;

[0045] Specifically, the calculation is based on 1TB of data.

[0046] The bidding management system is used to analyze data of the entire procurement process, provide corresponding statistical reports, form reports, and obtain the latest data of bidding projects;

[0047] Specifically, the calculation is based on 2TB of data.

[0048] The honor and achievement management system is used to collect statistics on the intellectual property information obtained by member enterprises, form a unified data file, and unify and standardize the process of the group and member enterprises to apply for scientific and technological innovation achievements;

[0049] Specifically including all kinds of electronic documents, pictures, videos, etc. Calculated based on 1TB of data.

[0050] The customer relationship management system is used to conduct statistical analysis of customer data, form a unified customer evaluation system, and conduct refined management of suppliers;

[0051] Among them, the customer and supplier data of the main management group and its subordinate enterprises and the main business data are all structured data, calculated based on 1TB of data.

[0052] The contract management system is used to uniformly manage various contracts, standardize contract management methods, and refine contract management processes.

[0053] Specifically, there are a large number of unstructured data such as PDF, WORD, and JPG, and the data volume is large. Calculated based on 5TB of data.

[0054] In this embodiment, the smart data platform includes a data middle platform, a business middle platform, and a technical middle platform.

[0055] In this embodiment, the data middle platform includes a data resource center and a data support platform;

[0056] The technical platform includes a basic data engine, data modeling, and a data dashboard engine;

[0057] The business middle platform includes a message center, a unified authentication and rule center, as well as an organizational structure and a reporting center.

[0058] In this embodiment, the data middle platform, business middle platform, and technical middle platform are all deployed at the platform layer.

[0059] In this embodiment, the visualization analysis system, project construction management system, human resource management system, bidding management system, honor and achievement management system, customer relationship management system, and contract management system are all deployed at the application layer.

[0060] Application layer: Give full play to the value of data, horizontally connect the entire process of enterprise production management such as design, production, operation, and decision-making, and build a three-level application system that connects the group, enterprise, and workshop vertically. Group-level applications mainly include enterprise management applications such as human resources, financial management, bidding management, project construction management, and decision analysis. Enterprise-level applications include enterprise management applications and production management applications. Workshop-level applications are mainly production execution applications. Production management applications with relatively unified business processes are uniformly built and centrally deployed by the group, and are uniformly used by subordinate member enterprises. For production management and production execution applications with large differences in business processes, each enterprise builds, independently deploys, and shares data in accordance with the group's unified interface and data standards.

[0061] In this embodiment, a private cloud is deployed at the base layer.

[0062] Among them, the main ones are the basic equipment such as "cloud, network and terminal" at the group and enterprise levels. Cloud computing at the group level is the group hybrid cloud, including the existing private cloud and proprietary cloud; at the enterprise level, it is mainly the local private cloud. The network includes the data center network at the group level, the enterprise intranet, enterprise private network, industrial Internet, 4G / 5G network at the enterprise level, and the private network and dedicated line for wide-area transmission. The terminal mainly refers to the IoT terminal equipment covering the key links of industrial and agricultural production, including video surveillance cameras, production control equipment, drones, IoT gateways, IoT sensors, etc.

[0063] In this embodiment, the technical architecture of the information management platform adopts a microservice architecture and a distributed development standard basis.

[0064] Specifically, the technical architecture is developed based on the currently mature microservice architecture + distributed development standards. The microservice architecture is used to integrate applications based on the microservice suite, and the interaction between business systems is carried out through standard interfaces. This can reduce the coupling between business systems, components and related technologies, eliminate the bottleneck of point-to-point integration of business systems, reduce the difficulty of integrated development, improve reuse, enhance system development and operation efficiency, facilitate flexible reconstruction of business systems, and quickly adapt to business and process changes. Figure 2 As shown in the figure, the application architecture diagram is shown; Figure 3As shown in the figure, it is the technical architecture diagram of the platform.

[0065] The technical architecture has the following characteristics:

[0066] A. Loose coupling

[0067] The service requester and the service provider communicate through the service interface based on the published service contract and service level agreement. The service interface encapsulates all implementation details. The service requester does not need to know the service provider's internal implementation information at any time. This ensures the loose coupling of the service interface. The development of this software part must follow the loose coupling requirements, reduce the dependency between the client and the remote service, make the application environment more agile, adapt to changes faster, and make system maintenance more convenient.

[0068] B. Focus on services and facilitate reuse

[0069] Service-orientation is a basic element of microservice architecture, which defines business functions through clear and implementation-independent standardized interfaces. Services can be reused in different business processes, and the specific service implementation does not depend on specific development languages ​​and tools.

[0070] C. Based on open standards

[0071] In order to emphasize interoperability, services need to comply with open standards as much as possible. Almost all service-related technologies have corresponding standards, such as SOAP, WSDL, UDDI, SCA / SDO, etc.

[0072] D. Flexible architecture, easy to refactor

[0073] Services are related to actual business functions and have clear interfaces. These services can be reused in different business processes, which increases the value of the services. Secondly, in use, they only need to be accessed according to their interface requirements, shielding the service implementation details. Modifications to the service implementation will not affect the logic of the service accessor, which improves the adaptability of the business process. In addition, once the business process changes, only the service needs to be re-arranged without modifying the service itself, which increases the flexibility of business process implementation.

[0074] In this embodiment, the data architecture of the information management platform includes a data source, a data preprocessing cluster, a data storage cluster, and a data management cluster.

[0075] In this embodiment, the data preprocessing cluster includes data access, data cleaning, data extraction, data output, and a data queue bus.

[0076] In this embodiment, the data management cluster includes data standard implementation, data management authorization, data quality supervision, data service sharing, and data application services.

[0077] like Figure 4 As shown, the figure is the overall data architecture diagram of the platform;

[0078] The overall data architecture is divided into:

[0079] 1. Data Source

[0080] The data sources mainly come from business system data, such as: project construction management system, human resources management system, bidding management system, customer relationship management system, contract management system, ERP system, financial management system, etc.; the data sources have the characteristics of a wide range of sources, different provision methods, different data formats, and different data quality.

[0081] 2. Data preprocessing cluster

[0082] It includes multiple processing modules such as data access, data cleaning, data extraction, data output, and data bus.

[0083] Data access: responsible for connecting multi-source heterogeneous data sources to the system and assembling them into a unified data format for subsequent processing nodes;

[0084] Data cleaning: responsible for judging and processing the incoming data according to the requirements of the data standard, and then storing the data into the corresponding table according to the mapping relationship according to the data warehouse structure sorted out in the early stage;

[0085] Extraction governance: responsible for secondary processing of data, including aggregating ODS data, aggregating subject libraries according to business scenarios, combining data to form data marts according to business needs, deeply analyzing the quality of corresponding fields according to business data quality standards, and performing data error correction and completion, etc.;

[0086] Data output: Output the cleaned and extracted data to a designated storage location according to business standards, such as a data warehouse, other relational databases (MySQL, Oracle, etc.), data files, etc.;

[0087] Data bus: The data interaction between the above modules uniformly uses the data bus as the only way of data interaction to ensure data stability and security.

[0088] 3. Data storage cluster

[0089] By storage type: divided into real-time storage, query storage and analytical storage;

[0090] By level: divided into raw data, ODS data, summary data, thematic data, and market data;

[0091] Real-time data and master data are single-column data for dedicated scenarios.

[0092] 4. Data Management Cluster

[0093] The functional modules required for data management are divided into the following categories:

[0094] Implementation of data standards: data source management, metadata management, data standard management, standard data element management, general attribute management, data dictionary management, business classification management, etc.;

[0095] Data management authorization: data asset management, authority management (data hierarchy authority management, data authority management, department authority management, user authority management, role authority management), data map, data lineage;

[0096] Data quality supervision: data quality configuration, data quality monitoring;

[0097] Data service sharing: data subscription, data sharing;

[0098] Data application services: various internal and external systems, various query applications, various analysis applications, and various display applications.

[0099] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents, and all should be included within the scope of protection of the present invention.

Claims

1. A smart data information management platform for business management, whose system architecture includes a basic layer, a platform layer, an application layer, and a portal layer; characterized in that: The platform includes a smart data platform, a visual analysis system, a project construction management system, a human resources management system, a bidding management system, an honor and achievement management system, a customer relationship management system, and a contract management system; The smart data platform is used for group data exchange, unified management of user organizations, unified push of message notifications, unified setting of process nodes, unified management and control of login permissions, and provides technical underlying support for information construction; The visual analysis system is used to understand the operation and production status of the group and its member companies, realize multi-dimensional and correlation analysis of various data, and provide professional decision-making data support for decision-makers, management and functional departments through intelligent mining and analysis; The project construction management system is used for full-process and full-life cycle management of projects, making it easier for each management department to obtain project data and grasp project progress in a timely manner; The human resource management system is used to manage employees based on human resource data; The bidding management system is used to analyze the data of the entire bidding process, provide corresponding statistical forms, form reports, and obtain the latest data of bidding projects; The honor and achievement management system is used to collect statistics on the intellectual property information obtained by member enterprises, form a unified data file, and unify and standardize the process of the group and member enterprises to apply for scientific and technological innovation achievements; The customer relationship management system is used to conduct statistical analysis of customer data, form a unified customer evaluation system, and conduct refined management of suppliers; The contract management system is used to uniformly manage various contracts, standardize contract management methods, and refine contract management processes.

2. According to claim 1, a smart data information management platform for business management is characterized in that: The smart data platform includes a data middle platform, a business middle platform, and a technical middle platform.

3. According to claim 2, a smart data information management platform for business management is characterized in that: The data middle platform includes a data resource center and a data support platform; The technical platform includes a basic data engine, data modeling, and a data dashboard engine; The business middle platform includes a message center, a unified authentication and rule center, as well as an organizational structure and a reporting center.

4. According to claim 3, a smart data information management platform for business management is characterized in that: The data middle platform, business middle platform, and technical middle platform are all deployed at the platform layer.

5. According to claim 1, a smart data information management platform for business management is characterized in that: The visualization analysis system, project construction management system, human resource management system, bidding management system, honor and achievement management system, customer relationship management system, and contract management system are all deployed at the application layer.

6. The intelligent data information management platform for business management according to claim 1, characterized in that: The basic layer is deployed with a private cloud.

7. The intelligent data information management platform for business management according to claim 1, characterized in that: The technical architecture of the information management platform adopts microservice architecture and distributed development standard basis.

8. The intelligent data information management platform for business management according to claim 1, characterized in that: The data architecture of the information management platform includes a data source, a data preprocessing cluster, a data storage cluster, and a data management cluster.

9. A smart data information management platform for business management according to claim 8, characterized in that: The data preprocessing cluster includes data access, data cleaning, data extraction, data output, and a data queue bus.

10. A smart data information management platform for business management according to claim 8, characterized in that: The data management cluster includes data standard implementation, data management authorization, data quality supervision, data service sharing, and data application services.

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