When you are building data products and filtering data files, it is important to keep track of what you have combined to make a new data set and what you have removed. This feature has saved us countless hours.
From an audit perspective we can build a complete history of a dataset – when it was added to the platform, how it was processed and when/who/where it was delivered / downloaded. This takes a removes a time-draining communication burden from our teams.
We can also add commentary and narratives to a data set. This helps us build transparency and persistent-state knowledge about data.