What does Point in Time Filtering represent?

Point in Time Filtering is a method that allows users to view data as it existed at a specific moment in time, reflecting the context of that period. This means that when using this type of filtering, users can access and analyze data that corresponds to the hierarchy and structure of the organization at that particular date, without any modifications or updates that might have occurred after that point.

This approach is beneficial for conducting historical analysis, as it provides insights based precisely on the conditions and arrangements that were present at the specified time. With Point in Time Filtering, organizations can better understand trends and performance relative to the specific circumstances that influenced data during that period. This feature distinguishes it from more dynamic or current views which may incorporate ongoing changes or updates that could alter the data's context.