Impact Quantity

Clustering provides users with a new way of interacting with content in their repository. It provides an enhanced analysis capability directly from the 3D Visualizer by logically grouping objects based on their relationships, concepts, and definitions. Filters can be applied to the clusters through the table-based view using existing functionality to focus analysis efforts (for example only clustering objects that are related to a risk with a high impact). The number of clusters can also be defined by the user to provide a broader or more concise result.