Turn Trusted Data and AI into Business Outcomes

The Opportunity

Your SAP systems hold some of the most valuable data in your organization: transactional, operational and financial records that reflect the real pulse of your business.

As data volumes grow and AI ambitions scale, bringing that data together with the rest of your analytics estate in a governed, trusted way becomes the defining challenge for any enterprise.

The result: only 5-7% of SAP user organizations report using AI broadly across their business. Not because the ambition is lacking, but because the data foundation is not yet ready (source: cio.com, 2024).

The Solution

SAP, Snowflake and AWS work together to give customers a unified data fabric that reduces the need to move or clone data, while opening the door to governed, scalable AI. 

This ebook looks at how the three platforms work together across three critical areas: data unification, AI readiness, and security and governance, with concrete architecture guidance and real customer outcomes.

What You Will Learn

• Bidirectional, zero-copy, near real-time integration between SAP BDC and Snowflake. Zero copy only applies to SAP BDC and Snowflake.

• Agentic use cases across supply chain, financial planning and manufacturing, built on a Semantically rich data layer that makes AI accurate and auditable

• The governance and security model behind Siemens Digital Industries' 10-20% SAP infrastructure cost reduction on AWS

Who This Is For

Data and IT leaders at SAP-centric enterprises evaluating how to unify their data estate, build a scalable AI foundation, or strengthen governance across SAP and non-SAP systems. Particularly relevant for CDOs, data architects, platform engineers and enterprise architects responsible for SAP Cloud ERP strategy.

In partnership with: