Enter SAP Datasphere: the data modeling, data integration and data management component in SAP Business Data Cloud (BDC) transforms your data migration project from a technical bottleneck into a streamlined, collaborative effort. Here are 5 reasons why SAP Datasphere in BDC is your go-to tool for migrating data to SAP S/4HANA public or private cloud.
Extract data from (almost) any legacy system with standard connectors
You know where you’re migrating to SAP S/4HANA – but where are you migrating from? With SAP Datasphere in BDC, it doesn’t really matter. Thanks to a broad set of standard connectors, you can extract data from virtually any legacy system and its databases – whether it’s SAP ECC, non-SAP platforms, SQL databases or even flat files.
Say goodbye to endless Excel exports and build a consistent, scalable pipeline for all your legacy data sources. Extract data live, run it on a schedule, or take manual snapshots – whatever aligns with your migration timeline.
For data transformation from SAP ECC to S/4HANA, we created a powerful accelerator to make it seamless. By leveraging SAP Datasphere within SAP BDC, you can ensure efficient migration in a standard way.
No standard connector available for your specific source? No problem. Our integration experts have a proven track record in creating tailored connections to fit your unique landscape.

Automation: save time and reduce mistakes
Manual data migration is often tedious and costly. Plus, it leaves the door open for errors, especially when you’re working with large, complex datasets across multiple systems and teams.
SAP Datasphere in BDC lets you build repeatable flows to automate the data migration process. Set up your logic once and reuse it for future rollouts to new entities. The result? Faster iterations, fewer mistakes, and significant time and cost savings.
Ready to kick-off your data migration?
Our analytics experts can help you evaluate your existing legacy systems and determine the scope of your data migration project. By using SAP Datasphere in BDC and the Data Migration Cockpit, you can lay a strong foundation for your transition to SAP S/4HANA.
Turn data migration into a collaborative effort
Thought data migration is purely an IT job? Think again. A successful migration project depends on close collaboration between your functional teams, who understand the business context of the data, and technical teams, who know your systems and architecture best.
With SAP Datasphere, data migration becomes a truly collaborative effort. Its intuitive interfaces and low-code and pro-code capabilities allow everyone to work together in a flexible, shared environment – whether that means defining mapping rules or implementing advanced logic.
Generate staging tables in SAP HANA Cloud with SAP’s Data Migration Cockpit
To support an efficient data migration, SAP S/4HANA includes an integrated Data Migration Cockpit. This built-in tool allows you to generate staging tables where you can validate and simulate your data before loading it into the final SAP tables.
When setting up a new migration project, you can choose to create those staging tables in a remote HANA Cloud database instead of directly in S/4HANA. This test setup enables you to prepare and transform your data in SAP Datasphere, then pass it directly into the Data Migration Cockpit for validation, simulation, and loading. No third-party tools or extra staging environments needed – just one seamless flow from source to staging to ERP.

Follow a streamlined end-to-end process for your data migration
Without a structured approach, it’s easy to lose track of where you are in your data migration project. With SAP Datasphere, migration becomes a streamlined, repeatable journey. Cleanse and transform data at the source, create custom validation reports, simulate data loads, and visualize your progress using SAP Analytics Cloud, Power BI or Excel.
Each step can be designed, automated, and governed within one environment. With SAP Datasphere, you can rely on a consistent, scalable framework for data migration – all while ensuring data quality, visibility, and control from start to finish.
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