Data Products in SAP Business Data CloudClosing the Governance Gap for AI Readiness

SAP Business Data Cloud delivers AI-ready data products for standard entities like cost centers or materials. But the custom logic most enterprises depend on, such as tailored KPIs, complex BW transformations, business-specific calculations, cannot be represented in SAP’s standard data products. It requires customer-managed data products that must be rebuilt manually in Datasphere, often from scratch. And unlike their SAP-managed counterparts, these custom products come without built-in version control, quality assurance, or governance.

This paper shows how an intelligence layer around SAP customer-managed data products turns them into production-grade assets. And how to keep every data product – standard and custom, SAP and non-SAP – current, governed, and ready for production.

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• What SAP BDC delivers and where its coverage ends. Understand which governance capabilities come standard with SAP-managed data products and where customer-managed products are left without guardrails.
• Why BW modernization is a transformation, not a migration. Learn why moving business logic from BW to Datasphere requires more than a technical lift-and-shift and how to preserve meaning along the way.
• What production-ready data products require. The engineering disciplines that turn datasets into trusted products. From Model-as-Code and CI/CD pipelines to data contracts and automated quality monitoring.
• How cross-system lineage enables AI readiness. Discover why column-level lineage across SAP and non-SAP systems is the missing link between governed data and reliable AI outcomes.

• Data architects planning or executing a BW-to-BDC transformation.
• CDOs and data leaders building a data product strategy on SAP.
• SAP platform owners evaluating what BDC delivers out of the box and what it doesn’t.