The Master Data Management Platform encompasses the entire lifecycle management of master data, including standards, quality, collection, application, addition, modification, review, validation, invalidation, and distribution. Its high availability aids enterprises in rapidly establishing a master data system, ensuring consistency of master data across various business systems, and enhancing operational efficiency.
Covering the full lifecycle management of master data, including standards, quality, collection, application, addition, change, review, validation, invalidation, distribution, etc.
An intuitive tool for model creation, combined with quality rule validation and coding rules, to comprehensively define models.
In response to changes, validation, and invalidation of master data information within the enterprise, the platform exercises strict version control over master data.
As business scenarios within the enterprise change, so too do master data models. The platform exercises strict version control over these models.
Supports users in defining data distribution interfaces according to different scenarios, allowing custom configuration of distribution rule conditions and data mapping for these interfaces.
The coding rules of the master data platform are freely composed of different types of code segments, thereby accommodating various business scenarios of customers.
It provides an overview of the asset status within the master data platform, displaying the overall situation of master data within the system through a visual interface, including the distribution, sources, and changes of master data.
The master data platform allows data to be accessed and entered into models for data maintenance under the specific master data maintenance model. Data maintenance encompasses both data editing and coding organization.
To create a model, one needs to select the model category and prepare the basic model information. Additionally, quality rules and coding rules associated with fields must be prepared. Quality rules enhance the data quality of master data, while coding rules generate master data codes.
Master Data Management supports management operations for the master data classification system and the management of master data under each classification. It allows for viewing detailed information of master data and the master data classification system.
The platform supports data maintenance for both incoming and deactivated data. It enables the correction of data that does not meet business standards, thereby improving data quality.
The platform provides a flexible and convenient operation interface, enabling rapid creation of master data model classifications and master data models through visual configuration.
Model definitions support the configuration of quality rules and coding rules, facilitating data validation and the generation of master data codes when data is entered into the model.
Supports the management of code segments used in coding rules. It allows the creation of five types of code segments: fixed codes, serial numbers, date codes, random codes, and standard codes. This provides maintenance support for various coding rules within the enterprise.
Supports the combination of predefined code segment rules to form required coding rules and manages these coding rules.
Supports the formation of coding rules through the combination of code segments. The order of coding can be adjusted by dragging and dropping on the page.
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