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What Is SAP Business Data Cloud (BDC)? Architecture, Capabilities, and Business Case

An 11-page ETS guide to SAP Business Data Cloud — the managed data fabric built on SAP Datasphere with HANA Cloud, SAP Analytics Cloud, BW, and the Databricks partnership — covering governance, federated access, data products, intelligent applications, and the C-level metrics to use in a business case.
September 4, 2026 by
ETS, Inc.
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SAP Business Data Cloud (BDC) is SAP's managed SaaS data foundation: a Business Data Fabric built on SAP Datasphere plus complementary services (HANA Cloud and Data Lake, SAP Analytics Cloud, BW, and a managed Databricks partnership) that unifies, governs, and makes SAP and non-SAP data business-ready for analytics, AI, and operational use.

This ETS guide explains how BDC manages data end-to-end — the unified semantic layer and data products, federated zero-copy access, prebuilt connectors for S/4HANA, BW, SuccessFactors, Ariba, Concur and the hyperscalers, metadata cataloging and the knowledge graph — and its advanced features: governance and security controls, SAP-managed analytics and ML compute, embedded SAP Analytics Cloud and Joule, and the packaged intelligent applications for finance, spend, people, customer, and sustainability.

It closes with the business metrics to use in a C-level case. Because BDC was only announced in 2025, the deck recommends conservative proxies from the SAP HANA Cloud and Datasphere stack (IDC's 352% three-year ROI, ~$13.7M average annual benefit, 10.3-month payback) and maps the key value drivers: faster time-to-insight, lower duplication and ETL cost, accelerated AI/ML production, and governance and risk reduction.

The full deck is available above as a PDF. Talk to ETS about where SAP Business Data Cloud fits in your data and AI roadmap.

SAP ERP Cloud + IBP vs. Sage X3 for Manufacturing: A Side-by-Side Comparison
A 9-page ETS comparison of SAP ERP Cloud + IBP and Sage X3 across production, planning and scheduling, supply chain and inventory, quality and compliance, globalization, analytics, scalability, and implementation cost — with a solution-fit recommendation for mid-size, fast-growing manufacturers.