Manufacturers today face a growing challenge: how to close the gap between core operational data and the advanced intelligence needed to make faster, smarter decisions.

Across supply chains, production planning, and order management, critical data often sits in silos—making it difficult to generate real-time insights or act on them effectively. At the same time, increasing volatility, shifting customer demands, and operational complexity are putting pressure on teams to respond with greater speed and precision.

To address this, manufacturers need a new approach—one that connects trusted operational data with advanced analytics and AI, without adding complexity or introducing latency.

This is where SAP and Snowflake are working together to help manufacturers bridge that gap—connecting core business data with cutting-edge intelligence in a seamless and scalable way.

A key barrier has been the way data is traditionally handled. Copying data between systems is time-consuming, costly, and introduces governance and consistency challenges. What’s needed instead is the ability to access and work with data where it resides—securely, in real time, and without duplication.

By enabling a zero-copy approach, organizations can seamlessly access SAP data alongside broader enterprise and external data sources. This creates a unified, trusted data foundation that can be leveraged for advanced analytics and AI—unlocking faster, more informed, and outcome-driven decision-making.

A Practical Use Case: Optimizing Make-to-Order Re-scheduling

In Make-to-Order manufacturing, frequent order changes—driven by evolving customer priorities, production constraints, or supply chain disruptions—require complex, ongoing decisions.

Today, many of these decisions rely on best practices or incomplete data, with execution often remaining manual. This limits visibility into downstream impacts, from cost implications to customer commitments and supplier dependencies.

With a connected data foundation, manufacturers can bring together SAP data with CRM, supply chain, and even unstructured data sources to enable more intelligent planning.

This allows teams to model scenarios in near real time, understanding the impact of changes on cost, key customers, and supply chain operations. Planners can make more informed, data-driven decisions, while AI can be introduced to recommend or automate optimal re-scheduling actions. These decisions can then be operationalised seamlessly, triggering execution back into core systems.

This shift enables organizations to move from reactive planning to proactive, intelligence-led operations.

Why SAP and Snowflake

By combining SAP’s strength in operational systems with Snowflake’s data and AI capabilities, manufacturers can unlock the full value of their data—without unnecessary duplication or complexity.

Together, they enable organizations to access and analyze SAP data securely, enrich it with broader data sources, and apply AI to drive faster, more accurate decisions. Critically, these insights can be fed back into business processes, ensuring data-driven decisions translate into real operational outcomes.

Getting Started

Successful initiatives start with clear business outcomes. Focus on high-impact use cases, align data to real operational needs, and build a strong data foundation that enables insights to turn into action.