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Data integration via SAP Integration Suite (Data Services)

Two-way integration patterns for periodic data services on Integration Suite. Supply chain control tower, S&OP planning, demand-inventory-supply-response flows: what to model in HANA, what to keep in SAP APO/IBP, and what to push through CI.

04 · 9 MIN READ · September 18, 2025

Most data integration work that crosses the SAP boundary lands in one of three buckets: ETL into HANA for analytics, planning loops in IBP / APO, and operational integration to keep S/4 in sync with adjacent systems. The architecture for each is different - mixing them up is the most common failure mode.

Three buckets, three patterns

  • Analytics ETL - SLT or Smart Data Integration into HANA Cloud, lineage tracked in Datasphere.
  • Planning loop - IBP for Supply / Demand / Response, S/4 as the system of record, Integration Suite carrying the deltas.
  • Operational sync - clean Cloud Integration iFlows with idempotency and replay.

Where we earn our keep

The cost of running an integration is not the build, it is the steady state. Designing for the steady-state observability - dashboards, alerts, dead-letter handling - turns Integration Suite from a build artefact into an operating system for data movement.

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