The core principle is the construction of a cumulative aggregation function that operates across a global sort order rather than resetting within discrete partition boundaries (such as fiscal years). This mechanism relies on filtering all historical data points up to and including the current position in a defined hierarchy, effectively removing contextual filters while retaining an upper bound variable. The concept belongs to the domain of Data Analysis and Measure Theory, specifically concerning running total algorithms that generalize cumulative summation from temporal dimensions to any attribute possessing a sortable sequence or classification order.
The core principle is the construction of a cumulative aggregation function that operates across a global sort order rather than resetting within discrete partition boundaries (such as fiscal years).…