SAP Business Data Cloud helps companies make their business data more accessible, understandable, and usable for AI and analytics.
By consolidating SAP data and other business-critical data into a more open and contextual data foundation, organizations can reduce data silos, share data with modern platforms like Databricks, and create better conditions for AI that truly supports business decisions.
AI requires more than access to data. To create real business value, AI needs to understand how data relates to processes, business rules, priorities, and business goals.
In this episode of Implema Talks, Johan Berg, Business Development Manager SAP at Implema, speaks with Anders Heimer, responsible for SAP’s Nordic pre-sales solution advisory organization for data and AI. The conversation covers why SAP launched SAP Business Data Cloud, how the solution changes the view on data platforms, and why an AI-ready data foundation is becoming increasingly important for companies looking to scale AI in practice.
This includes, for example:
This is where SAP Business Data Cloud comes in.
A key point in the discussion is that SAP Business Data Cloud represents an architectural shift. Instead of continuing to build isolated data silos, SAP aims to make business data easier to share, understand, and use within a broader data ecosystem.
SAP Business Data Cloud is built on the idea that data should be managed more openly, but still with governance, structure, and business context.
This makes it possible to:
For many organizations, AI initiatives are still isolated. They work in individual use cases but are difficult to scale across the entire business.
One reason is that the data foundation is not sufficiently cohesive.
SAP Business Data Cloud addresses this by creating a more future-proof foundation for AI. When data becomes more accessible, structured, and contextual, AI can be used in a more business-relevant way.
It’s not just about better technology. It’s about AI being able to understand the logic of the business.
In the conversation, Anders Heimer also highlights SAP’s partnership with Databricks. With SAP Business Data Cloud, the possibility opens up to share data between SAP’s data warehouses and Databricks via open mechanisms like Delta Sharing.
This means companies can use SAP data in advanced environments for machine learning, analytics, and AI without getting stuck in heavy copying flows or fragmented data models.
For companies already investing in modern data platforms, this becomes particularly relevant. SAP Business Data Cloud can become a bridge between the structured data of the business system and the company’s broader data and AI strategy.
SAP Business Data Cloud is SAP’s solution for creating a more cohesive, open, and AI-ready data foundation. It helps companies use SAP data and other business-critical data in analytics, AI, and modern data platforms.
AI needs access to data, but also an understanding of business context. SAP Business Data Cloud helps connect data to processes, rules, and business logic, making AI more useful in operations.
SAP Business Data Cloud makes it easier to share and use data across different systems and platforms. This reduces the need for isolated data warehouses and heavy data copying.
SAP has a partnership with Databricks that enables data sharing between SAP Business Data Cloud and Databricks. This creates better conditions for advanced analytics, machine learning, and AI.
No. SAP Business Data Cloud is relevant for both IT and business. It’s about creating a better data foundation for decisions, governance, analytics, and AI-based business development.
Business Development Manager SAP
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