The thing about a single pane of glass is that there can only be one pane of glass. Plus, survey results!
I feel like the ultimate elephant in the room is having a unified understanding of data across all stakeholders of it (so that you can better communicate, operate, etc.). This includes the business-facing, data scientists, data engineers, etc. I agree that an unified pane will provide a much needed management console for these people. I further believe this management console is one potential solution for this bigger knowledge issue. However many of the data products tackle this issue by selling their products to the top (i.e. head of data) who then enforce the product on their subordinates. I'm curious on your thoughts of the reverse. Create products that individuals like data engineers use regularly in their workflows. Then aggregating all of this into one cohesive console - creating a sort of hive mind understanding of data at the end. Not sure if there are any examples of this out there.
I see external factors also influencing the 2032 reality or the possibility of a single view of data For eg. 1) Source data (Telemetry) to a large extent is not yet standardized, do we see more source problems in 2032 meta world or more standardization. 2) Would enterprises substitute a large part of their microservices with SaaS tooling (eg. A world where companies always use stripe and its competitors for payments, with similar export schemas a.k.a data cloud), or would they continue building their own in-house services (may be they wish to avoid overhead of managing too many vendors, legal, privacy and procurement issues)