SAP Business Data Cloud

Our experience with SAP Business Data Cloud has been encouraging, though we're still in the earlier stages of getting full value out of it. We came in with a fragmented data landscape across SAP and non-SAP systems, and the promise of a unified, semantically consistent layer was the main reason for going down this path. The biggest win so far is that business context travels with the data. Earlier, when finance and operations pulled the same KPI, we'd often end up debating definitions before we could even discuss the numbers. With data products carrying the SAP semantics intact, that argument has largely gone away. The integration with SAP Analytics Cloud means dashboards and planning sit on top of the same governed layer, which removes a class of reconciliation work we used to do manually. The Databricks integration has been useful for the AI and ML side of things. Being able to share data products with Databricks for processing without copying data around is a meaningful change from how we used to handle similar workloads. That said, the platform is still maturing. Some of the prebuilt data products and intelligent applications we expected to use are arriving in waves rather than being fully available on day one, so our roadmap has had to flex around SAP's release cadence. Documentation is reasonable for the core flows but thinner once you step off the well-trodden path. And anyone coming in without an SAP background, particularly on the Datasphere side, will need real onboarding time before they're productive. Overall, it's been a worthwhile investment for an SAP-heavy organisation, but it's not a plug-and-play story.