The following tools are dedicated to measuring and improving the quality of data in the system:
- Data Profiles - The data profile functionality provides detailed overviews of data in specific branches of the hierarchy in Tree. Each profile contains information about the profiled data and provides easy access to correcting data errors. Refer to the Data Profiles topic.
- Attribute Value Profiles - Attribute value profiles enable users to identify where and how an attribute is used. The profile provides an overview of how attribute values are distributed across the current context and workspace, and enables users to easily clean up data. Refer to the Attribute Value Profiles topic.
- Metric Score Indicators - Metric score indicators visualize the quality of profiled objects based on scores users set for attributes, reference types, and product-to-classification link types. Refer to the Metric Visualization topic of the System Setup documentation.
Some features are privilege controlled. For more information refer to Action Sets in the System Setup documentation.
Important: Users should be very cautious of having calculated attributes in the attributes / attribute groups being profiled. Calculated attributes are calculated when included in profiling, and this may potentially impact system performance.