Overview of SAP Business Data Cloud (BDC)
Overview of SAP Business Data Cloud (BDC)
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Strategic Architecture Decisions for SAP BW
The SAP data platform is evolving rapidly. With the end of SAP BW and the new roles of Datasphere, SAC, and Databricks, many companies are facing a key question: What does a clear, future-proof target architecture look like?
In a joint webinar with Prof. Dr. Andreas Seufert, our experts will therefore provide a more detailed overview of the SAP Business Data Cloud (BDC). On June 2, 2026, at 10 a.m. , we ’ll show you how to modernize your data architecture in a targeted manner—and thereby create a stable foundation for analytics and AI.
The focus of the webinar:
- Challenges of Modern Data Landscapes: Why the SAP Portfolio Question Is Now Strategically Relevant.
- Understanding SAP Business Data Cloud: What BDC Is All About and How It Differs from BW, Datasphere, SAC, and Databricks.
- Key Benefits of the BDC: How the Business Data Cloud Adds Value to Architecture, Analytics, and AI.
- Case Studies: Real-World Experiences , Lessons Learned, and Tips.
This webinar is designed for professionals in IT, controlling, data architecture, and business intelligence who want to rethink their SAP architecture and leverage it specifically for analytics and AI.
Take advantage of our independent perspective and project experience—and gain concrete insights to help you further develop your data landscape. Sound interesting? Then sign up now for our free webinar:
Speaker
Julian Schütt has been advising our customers for over 15 years, from the conception to the implementation of smart data architectures. As head of the Data & Cloud Services business unit, he is involved in the use of innovative technologies, from agile cloud environments to the efficient use of artificial intelligence.
Thomas Laußer has been working in data engineering for more than 10 years and is now responsible for this area at celver. Together with his team, he is shaping the future of data platforms. He has accompanied the transition from traditional to modern data engineering and is therefore familiar with the needs and requirements of companies that are embarking on this path or have already arrived there and want to reach the next evolutionary stage.
Prof. Dr. Andreas Seufert teaches at the Ludwigshafen University of Applied Sciences and is Director of the Business Innovation Lab there. He is also Director of the Institute for Business Intelligence at Steinbeis University Berlin. He is head of the BI/ Big Data and Controlling expert group of the International Controller Association (ICV) as well as XING | Ambassador Controlling.
