The SAP Platform to unify corporate Data and build a scalable Data Strategy
SAP Datasphere is the SAP platform designed to integrate SAP and non-SAP data, preserving the business semantic context and providing reliable datasets for analytics, planning, and AI.
- Create a shared data model across business functions
- Ensure data governance, security, and traceability
- Power analytics, planning, and AI with reliable, high-quality datasets
SAP Datasphere is the heart of a modern and scalable data architecture.
We transform it into a strategic Data Strategy system for Decision Intelligence.
When corporate Data is scattered across different systems
Today, many companies manage their data through a multitude of systems: SAP ERP, legacy applications, CRMs, cloud platforms, external databases, Excel files, and parallel data marts.
The result is often data fragmentation, making it difficult to achieve a single, consistent view of business performance.
Critical issues emerge, such as inconsistent KPIs across business functions, the need for manual reconciliations between systems, difficulties in creating reliable datasets for analytics and AI, and limited or distributed data governance.
When data doesn’t talk, decisions become slower and less reliable.
The potential of SAP Datasphere
SAP Datasphere is the SAP platform engineered to:
- Integrate SAP and non-SAP data into a single, governed environment
- Preserve the semantic business context of your data
- Create certified and reusable datasets
- Support analytics and AI with consistent and reliable data
SAP Datasphere is not simply a cloud data warehouse. It is the platform that allows you to build a truly integrated and governed data ecosystem—a fundamental pillar of the modern SAP Data & Analytics architecture.
advantages
What We can do for You
Architectural Design
Proof of Concept
AMS (Application Management Services)
Tailor-made Implementation
Data Strategy & Governance
Data-driven Training & Culture
Migrations from existing SAP BW
Concrete Analytics & AI Implementation
SAP Ecosystem
SAP Ecosystem Integration
SAP Datasphere represents the connection point between the main SAP platforms dedicated to data management and analytics.
- SAP S/4HANA integration: direct access to operational data
- Powers SAP Analytics Cloud: provides the foundation for dashboards and planning
- Enables SAP Data & AI: supports advanced data scenarios
- Integrates with SAP Databricks: for advanced analytics and machine learning
- Evolution of SAP BW: Complements or evolves existing BW and BW/4HANA architectures
In this landscape, SAP Datasphere becomes the central layer for data integration and governance
We combine SAP, data architecture, and business vision.
The BDI value add for SAP Datasphere
Implementing SAP Datasphere is only the first step.
We help companies build a data architecture for Decision Intelligence that is consistent and sustainable.
- We design models that are truly shared across business functions
- We merge SAP and non-SAP data without losing control
- We create certified datasets ready for immediate AI and analytics consumption
We evolve existing data architectures into a modern data platform, combining SAP, data architecture, and business vision.
Ready to find out if SAP Datasphere is the right fit for your Decision Intelligence?
Book an assessment with our specialists.
faq
Frequently Asked Questions
What is SAP Datasphere?
SAP Datasphere is the SAP platform designed to integrate and govern data from SAP and non-SAP systems, making it available for analytics, planning, and AI.
Does SAP Datasphere replace SAP BW?
It depends on your current landscape. In many cases, Datasphere works alongside BW or represents the natural cloud-based evolution of traditional data warehouse architectures.
Can it integrate non-SAP data?
Yes. One of its primary strengths is the ability to integrate data from third-party systems while maintaining the original business semantic context.
How long does an SAP Datasphere project take?
Timelines vary based on the complexity of your current data architecture and project scope. We typically recommend starting with a targeted Proof of Concept (PoC).
