TECHNOLOGY · SAP

Put SAP data to work, with its business meaning intact

SAP Business Data Cloud helps connect, govern, and use SAP and non-SAP data for analytics and AI. We help make supply chain data trustworthy enough to act on.

We help make SAP and non-SAP data ready for analytics and AI:

  • Data architecture and strategy for SAP landscapes.
  • Datasphere modeling and data products.
  • SAP Analytics Cloud dashboards and planning.
  • Integration of SAP and non-SAP data, including Snowflake and Databricks where they fit.
  • Governance, lineage, and quality.
  • AI-ready data foundations.

Why business context matters

SAP data carries rich business meaning.

Much of it gets lost when data is copied out into generic tables. Keeping that context intact makes analytics more reliable and AI more useful. Core, our shared intelligence layer, can extend that context across the wider enterprise.

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Questions, answered

What leaders ask about SAP Business Data Cloud

Practical answers to the questions that often shape the first conversation.

How can SAP Business Data Cloud complement an existing Snowflake or Databricks investment?+

The architecture should preserve SAP business context while making ownership, sharing, governance, and workload placement clear across platforms. We assess existing data products and pipelines, then define where SAP-managed data products add value, where the current platform remains authoritative, and how duplicate semantics and operating costs are avoided.

Do we need to replace our current data platform to use SAP Business Data Cloud?+

No. It can work alongside platforms like Snowflake and Databricks, and we help design how they fit together.

How does SAP Business Data Cloud help with AI?+

It keeps SAP data connected to its business context, which makes analytics and AI more accurate and easier to trust.