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Regional Architecture
MDM — Master Data Management System Solution
MDM - Master Data Management Scheme
Master Data Management (MDM) is an organization's approach to orchestrating and managing business-critical data across the enterprise. This business-critical data is often referred to as “master data” and includes customer information, product information, supplier information, and more. The goal of MDM is to ensure that this master data is defined and used consistently across the organization, reducing data redundancy and improving data quality to support better business decisions and operational efficiency.
Data Specification
Uniform standards must be developed for full-service, system-wide data.
Data Synchronization
Establish access controls and security measures to ensure that only authorized personnel can access and modify master data.
Data Governance
Develop a data governance framework, including policies, standards, and processes, to ensure that master data is continuously managed and maintained.
Permissions and Security
Establish access controls and security measures to ensure that only authorized personnel can access and modify master data.
MDM -Data Specification Product Architecture
Mdm-data Governance Product Capabilities
Promote users to develop data according to norms and standards, and conduct data governance from five dimensions of calculation, storage, quality, specification and value, optimize storage costs, save computing resources, and promote standards and specifications, so that users can see problems and see effects through data governance
Metadata Management
Metadata Management provides automatic extraction of data storage information and kinship, and fuzzy query and retrieval of metadata using keywords in the global scope. Make metadata management in your enterprise more automated, systematic, and standardized.
Data Standards
Data standard management provides automatic identification of data sources, real-time synchronization of metadata, multi-version mapping, and a full-process standard management system. Make your enterprise's data management more comprehensive, intelligent and worry-free.
Data Quality
Provides regular and self-defined validation rule templates, and displays the dynamic situation of data quality in real time with multiple statistical dimensions and charts. Make your data quality rules and controls more flexible and vivid, and your data quality is clear at a glance.
Data Integration
It has five characteristics: visual operation interface, rich data conversion process, fast data processing speed, comprehensive data source support, and detailed monitoring log function. Make data integration more user-friendly, and achieve true low-code visualization and rapid development. It is easy to deal with the problems of large amount of data, multiple sources and fast growth rate of enterprises at this stage.
Data Collection
Provides automatic capture of master data, centralized management of collection and distribution, and flexible configuration of complex processes. It allows you to identify master data more accurately and efficiently, and reduces the labor cost of master data screening and collection.
Data Security
Data security management system has three main mechanisms: user authority, data authority and encryption desensitization. Ensure the security of data storage, transmission and use, and avoid serious consequences such as economic losses and legal disputes caused by unreasonable use or disclosure of data assets.
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