A global manufacturer runs SAP BW on HANA alongside a patchwork of point-to-point extracts feeding regional reporting. Reporting is slow to change, the same data is duplicated across three systems, and AI initiatives have no governed foundation to build on.
Modernize SAP BW into SAP Business Data Cloud, Databricks, Microsoft Fabric, or a hybrid architecture?
SAP Business Data Cloud, with Databricks as a companion platform for advanced AI workloads
The governed SAP-native foundation directly resolved the duplication problem with the least new integration work, while a companion AI platform avoided boxing in future data science ambitions.
Traded a web of point-to-point extracts for a smaller number of governed data products with clear ownership — fewer integration points to maintain, but each one now carries more responsibility.
The primary financial case was avoided cost: less engineering time spent maintaining duplicate extracts and manually reconciling numbers before executive reporting, not a headline platform saving. Migration and dual-running cost were treated as a one-time investment against that ongoing avoided cost.
Reviewed eighteen months after the decision was recorded: the governed core shipped on the SAP-native timeline, and two of the three duplicate extract paths were decommissioned. The Databricks companion platform saw slower adoption than planned, since AI initiatives ramped up more gradually than assumed at decision time — a reminder that the recommendation's own "what would change this" condition (AI ambitions growing faster than assumed) can also resolve in the other direction.
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