Reviews

The single biggest thing for us is that data keeps its business meaning as it moves around. With our earlier setup, every time data left the source system it lost context, and analysts spent more time reconciling definitions than actually analysing anything. SAP's data products carry the semantics with them, so a sales figure means the same thing whether you're looking at it in a dashboard, a planning model, or feeding it into an ML pipeline. That alone has cut down a lot of unproductive back-and-forth between teams. The unified setup across Datasphere, Analytics Cloud, and Databricks is the other strong point. Earlier we were paying for and operating these as separate pieces, with effort going into keeping them in sync. Having them under one managed roof, with the federation working in real time rather than us copying data around, has simplified the architecture considerably and reduced the storage footprint we were carrying. I'd also call out the BW modernisation path. We have years of investment sitting in our existing Business Warehouse, and the ability to bring those objects in as data products without a rip-and-replace exercise made the business case much easier to defend internally. It let us move forward without writing off what we'd already built.

May 6, 2026