STEP offers a set of tools 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. See the Data Profiles topic here.
- Attribute Value Profiles - Attribute value profiles enable users to see 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. See the Attribute Value Profiles topic here.
- 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. See the Metric Visualization section of the System Setup documentation here.
Some features are privilege controlled. For more information see Action Sets in the System Setup / Super User Guide 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.