Master Data Tables in Smartfacts CDCM provide a powerful mechanism for managing predefined datasets that can be accessed and utilized within the application. This chapter outlines the process of defining Master Data Tables, which enable users to select records from predefined datasets in the user interface and maintain the records from outside CDCM.
Introduction to Master Data Tables
Master Data Tables serve as structured repositories for predefined datasets, allowing users to select specific records from these datasets within the Smartfacts CDCM user interface. These tables are generated, populated, and updated via the Smartfacts CDCM REST interface, providing seamless integration with external data sources.
Purpose
The primary purpose of Master Data Tables is to enhance data consistency and usability by providing users with predefined options for selection. For example, Master Data Tables can be used to associate customers with products, select project categories, or designate priority levels.
Benefits
Data Consistency: Predefined datasets ensure consistency in data selection and entry.
Usability: Users can easily select records from predefined options, reducing the likelihood of errors.
Integration: Seamless integration with external data sources allows for efficient management of datasets.
Defining Master Data Tables
Master Data Tables must be created, populated and updated via the Smartfacts CDCM REST Services:
https://integration.dev.cdcm.smartfacts.com/swagger-ui/index.html#/master-data-controller
Integration with User Interface
Once a Master Data Table is defined, it can be seamlessly integrated into the Smartfacts CDCM user interface. Users can then select records from the predefined dataset when interacting with relevant components, such as products, projects, or configurations.
Example: Customer Selection for Products
For instance, if you want to associate a customer with a product, you can add a Master Data Table containing customer records to Smartfacts CDCM. By integrating this table into the user interface of the product, users can select a customer from the predefined dataset when specifying customer information for the product.
Conclusion
Master Data Tables in Smartfacts CDCM provide a robust mechanism for managing predefined datasets and enhancing data consistency and usability within the application. By defining and integrating Master Data Tables, users can streamline data selection processes and improve overall data management efficiency.
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