Does this sound familiar? Your company has decided to purchase SAP Business Data Cloud (BDC). The licensing decision has been made. But what comes next is anything but clear.
You probably have a lot of questions: What does SAP BDC actually entail – and what doesn’t it? How do I use data products? How does the new data platform fit into the existing data & analytics landscape that has evolved over the years? How do Databricks, Snowflake, or Microsoft Fabric fit into the picture? And above all: Where do I actually start?
These questions are valid. Because SAP Business Data Cloud isn’t just a technological upgrade – it represents a paradigm shift in data architecture. Starting without a clear direction wastes time, money, and the buy-in of business units.
SAP Datasphere, SAP Analytics Cloud, data products, SAP Joule, and hyperscaler integration – what’s really behind these concepts and what isn’t.
Inventory, complexity assessment, and migration readiness of your existing landscape
Which data models can be used in SAP BDC via SAP Data Product Generator, and in which cases it makes more sense to develop a new one
Where Databricks, Snowflake, and Microsoft Fabric are useful and how they relate to SAP BDC
Quick wins, pilot initiatives, and a prioritized roadmap for the first year
SAP BDC architecture:
SAP Datasphere as data fabric layer
SAP Analytics Cloud (SAC) as front end
Data products as reusable data objects in the Object Store
SAP Joule as an AI layer?
Hyperscalers and non-SAP:
How SAP BDC interacts with Databricks, Snowflake, and Microsoft Fabric
As-is analysis:
Active use cases: What is business-critical? What is legacy?
Data volume
(ABAP) complexity
Custom development vs. standard (business content)
Pain point analysis:
Structured identification of pain points from three perspectives
Developers: Maintainability, development effort, lack of tool support
Users: Data quality, performance, self-service
Management: Transparency, time-to-insight, IT capacity bottlenecks
Inventory analysis & decision-making
Which existing data models can be made available as data products in SAP BDC using SAP Data Product Generator?
Where is new development feasible, more cost-effective, and more sustainable?
Use case prioritization
Aligning your top requirements from the business department and IT with SAP BDC functionalities
What can be implemented immediately?
Which scenarios still need time?
Which use cases may need to be implemented using non-SAP tools?
Roadmap and next steps
Defining a pilot topic
Identifying quick wins
Determining the migration priority
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