Full Lifecycle Management of Master Data
Covering the full lifecycle management of master data, including standards, quality, collection, application, addition, change, review, validation, invalidation, distribution, etc.
Visual Data Modeling
An intuitive tool for model creation, combined with quality rule validation and coding rules, to comprehensively define models.
Master Data Version Control
In response to changes, validation, and invalidation of master data information within the enterprise, the platform exercises strict version control over master data.
Master Data Model Version Control
As business scenarios within the enterprise change, so too do master data models. The platform exercises strict version control over these models.
Custom Distribution Rules
Supports users in defining data distribution interfaces according to different scenarios, allowing custom configuration of distribution rule conditions and data mapping for these interfaces.
Custom Coding Rules
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.
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