Good question @rob_marshall We have a very complex and a large number of workspaces and models. In order to manage and automate day-to-day housekeeping activities, we are trying to tap into the metadata of our workspaces, models, modules, lists and their sizes and building analytics around this data to give us quick insights into what and where to clean-up things. e.g. after spending several hours of analysis across a workspace, we can figure out what module is taking up a bulk of the space. We can get this insight constantly if we have the information available through an automated program, which at this time is mostly available through APIs, so that we can refresh this data at regular intervals and analyze the data through a pre-defined model or report. Right now, we are having to go through each and every model and analyze the modules by looking at the module list, which is very cumbersome and can change with one set of data integration runs to the models. Hope that makes it clear !
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