Analytics work can be roughly split in two buckets: (1) Building automated systems, from metrics to dashboards, to enable self-service use cases for business users. This is what we now typically call analytics engineering. (2) Doing ad-hoc analyses, to answer some questions directly. The problem with this second type of work, as @bennstancil points out in another insightful post (benn.substack.com/p/big-whiff), is with storing and organizing the results and insights we produce here.