SAP Business Data Cloud delivers:
Unified Data Fabric
Seamlessly connect SAP and non-SAP data with federation and delta-sharing—avoiding costly duplication.
Business Context Preserved
Maintain SAP’s rich semantics so KPIs are consistent across functions.
Analytics to Action
Move from insight to execution with data products that integrate directly into business processes.
AI-Ready Foundation
Enable practical AI through contextualized data for finance, supply chain, workforce, and customer intelligence.
What’s inside SAP BDC
- SAP Datasphere
business data fabric with semantic modelling. - SAP Analytics Cloud
analytics and planning in one place. - SAP BW/4 PCE
modernization path for BW assets. - Databricks integration
for large scale AI/ML when required.
What’s new with BDC
- Intelligent dashboards
with pipelines managed as a service. - Standardized data products
that are consistent, governed, and quick to deploy. - Bi directional sharing
for AI and data engineering scenarios. - One integrated platform
covering analytics, planning, warehousing, and AI.
Real Business Use Cases
Finance Intelligence
Optimize DSO/DPO and cash flow.
Sustainability Insights
Track ESRS-compliant metrics (emissions, energy).
Databricks Integration (Optional)
Zero-copy data sharing · External data enrichment · Unified policy control.
BDC Delivery Framework
| Phase | Focus | Timeline |
|---|---|---|
| Discovery | Identify use cases & data sources | 2–4 weeks |
| Foundation Setup | Implement security, fabric & first data products | 4–8 weeks |
| Scale & Innovate | Expand analytics, AI pilots, and adoption playbook | Ongoing |
| Deliverables | Architecture blueprint · Governance framework · Data catalog · Adoption playbook | |
Why YASH.
- Proven SAP expertise: ERP · BW · Datasphere · SAC · Integration
- End-to-end capability: Data Engineering → BI → AI/ML
- Industry depth: Manufacturing · Energy · Automotive
- Global delivery with accelerators and 24×7 support
- Success measured by adoption, stability, and business impact
FAQs.
BDC brings SAP semantics and governed data products—so insights and AI retain business meaning, not just tables.
No. BDC is completely independent; Databricks is optional when advanced ML or large-scale engineering is needed.
Central governance with policies, lineage, masking, and audit controls, aligned to enterprise compliance.