The core principle involves utilizing disconnected dimensions in data modeling to establish a controlled filtering hierarchy where a user-selected parameter dynamically defines aggregation boundaries. This mechanism relies on the `SELECTEDVALUE` function to retrieve a specific scalar value from an isolated dimension table and maps it against ordered sequence variables within a measure's calculation logic. The concept belongs to the domain of analytical database theory, specifically addressing partial cumulative aggregation constraints in Power BI DAX environments where standard filter propagation is intentionally bypassed or overridden by explicit conditional filtering.
The core principle involves utilizing disconnected dimensions in data modeling to establish a controlled filtering hierarchy where a user-selected parameter dynamically defines aggregation boundaries…