A holistic, integrated data landscape that enables your company to realize the full potential of its data—that is the vision of a Business Data Fabric, which can be achieved with SAP Datasphere.
To this end, SAP Datasphere combines data integration and modeling capabilities, enables a flexible combination of data persistence and virtualization, and supports the implementation of data governance requirements on a scalable platform. As part of the SAP Business Data Cloud (BDC), SAP Datasphere is embedded in an overarching cloud-based data and analytics architecture and helps ensure the consistent provision and use of data across business units.
SAP Datasphere integrates seamlessly with SAP solutions such as SAP HANA, SAP S/4HANA, SAP BW/4HANA, and SAP Analytics Cloud, while also enabling the integration of data from a wide variety of internal and external sources—across both on-premises and cloud systems. This results in a unified, governance-compliant, cross-domain database with consistent business semantics that incorporates both structured and unstructured data and supports seamless use across end-to-end scenarios.
Within the SAP Business Data Cloud (BDC), you use SAP Datasphere as the central data and semantics layer. This allows you to implement a comprehensive approach to data management throughout the data value chain. From integration and harmonization, through modeling and governance, to consistent delivery for analytics and data products. They standardize business logic and make data available—either virtually or persistently—depending on the requirements. Here’s how to increase transparency and reusability on a scalable platform and lay the foundation for a unified, cloud-based data landscape.
A holistic, integrated data landscape that enables your company to realize the full potential of its data—that is the vision of a Business Data Fabric, which can be achieved with SAP Datasphere.
To this end, SAP Datasphere combines data integration and modeling capabilities, enables a flexible combination of data persistence and virtualization, and supports the implementation of data governance requirements on a scalable platform. As part of the SAP Business Data Cloud (BDC), SAP Datasphere is embedded in an overarching cloud-based data and analytics architecture and helps ensure the consistent provision and use of data across business units.
SAP Datasphere integrates seamlessly with SAP solutions such as SAP HANA, SAP S/4HANA, SAP BW/4HANA, and SAP Analytics Cloud, while also enabling the integration of data from a wide variety of internal and external sources—across both on-premises and cloud systems. This results in a unified, governance-compliant, cross-domain database with consistent business semantics that incorporates both structured and unstructured data and supports seamless use across end-to-end scenarios.
Within the SAP Business Data Cloud (BDC), you use SAP Datasphere as the central data and semantics layer. This allows you to implement a comprehensive approach to data management throughout the data value chain. From integration and harmonization, through modeling and governance, to consistent delivery for analytics and data products. They standardize business logic and make data available—either virtually or persistently—depending on the requirements. Here’s how to increase transparency and reusability on a scalable platform and lay the foundation for a unified, cloud-based data landscape.
SAP Datasphere: Next generation data warehousing
State-of-the-Art Data Management in the Context of a Business Data Fabric
A holistic, integrated data landscape that enables your company to realize the full potential of its data—that is the vision of a Business Data Fabric, which can be achieved with SAP Datasphere.
To this end, SAP Datasphere combines data integration and modeling capabilities, enables a flexible combination of data persistence and virtualization, and supports the implementation of data governance requirements on a scalable platform. As part of the SAP Business Data Cloud (BDC), SAP Datasphere is embedded in an overarching cloud-based data and analytics architecture and contributes to the consistent provision and use of data across business units.
SAP Datasphere integrates seamlessly with SAP solutions such as SAP HANA, SAP S/4HANA, SAP BW/4HANA, and SAP Analytics Cloud, while also enabling the integration of data from a wide variety of internal and external sources—across both on-premises and cloud systems. This creates a unified, governance-compliant, cross-domain database with consistent business semantics that incorporates both structured and unstructured data and supports seamless utilization across end-to-end scenarios.
Within the SAP Business Data Cloud (BDC), you use SAP Datasphere as the central data and semantics layer. This allows you to implement a holistic approach to data management across the entire data value chain. From integration and harmonization, through modeling and governance, to consistent delivery for analytics and data products. They standardize business logic and make data available—either virtually or persistently—depending on the requirements. Here’s how you can increase transparency and reusability on a scalable platform and lay the foundation for a unified, cloud-based data landscape.
Our expertise
Banking expertise and technical know-how for your data strategies
We support you in the implementation and further development of SAP Datasphere—integrated into a modern SAP architecture and the SAP Business Data Cloud (BDC). Our interdisciplinary teams combine banking expertise with technological know-how to develop analytical solutions tailored to your specific needs. Here’s how to make targeted use of SAP Datasphere’s features and leverage synergies within the SAP BDC, from data provision to department-specific use.
Modern Data Architectures & Migration to the Cloud
We’ll guide you through the process of migrating your existing data environments to the cloud and building modern data architectures with SAP Datasphere. Our team has in-depth knowledge and proven methodologies for developing and implementing cloud strategies and building integrated data platforms. In addition, we can assist you with integrating SAP Datasphere into the SAP Business Data Cloud and connecting existing SAP and non-SAP systems.
Architecture consulting to further develop your data architectures so they can sustainably meet the requirements of big data, real-time data processing, and cloud computing, including integration into a modern SAP target architecture using the SAP Business Data Cloud.
Consulting and support for the further development of your cloud strategy and cloud infrastructure—using SAP Datasphere as the central data and semantics layer within the SAP Business Data Cloud, based on the SAP Business Technology Platform (SAP BTP).
Implementation of SAP Datasphere as a data and analytics layer within the SAP Business Data Cloud, using a holistic process model that spans from business design through technical implementation to go-live.
Creation of custom data models to meet the business requirements of your use cases and documentation of these models in the SAP Datasphere modeling tools.
Further development and consulting on policies, processes, and technologies to ensure compliance with regulatory data governance and data quality requirements, as well as their procedural and methodological implementation in SAP Datasphere tools.
Migration of existing data-driven solutions, as well as reports and dashboards from other business intelligence systems, to a target SAP BDC architecture using SAP Datasphere for data harmonization, modeling, and delivery.
Specification and implementation of data integration from your SAP systems and third-party solutions into the SAP BDC/Datasphere architecture via native or custom interfaces. Depending on your needs, we can implement the connection as a batch or real-time integration, or via data virtualization (e.g., using the SAP BW Bridge).
Design and implementation of analytics solutions based on SAP Datasphere within the SAP BDC architecture, including reports and dashboards in the fully integrated SAP Analytics Cloud.
Architecture consulting to further develop your data architectures so they can sustainably meet requirements for big data, real-time data processing, and cloud computing, including integration into a modern SAP target architecture using the SAP Business Data Cloud (BDC).
Consulting and support for the further development of your cloud strategy and cloud infrastructure—using SAP Datasphere as the central data and semantics layer within the SAP Business Data Cloud, based on the SAP Business Technology Platform (SAP BTP).
Implementation of SAP Datasphere as a data and analytics layer within the SAP Business Data Cloud, using a holistic process model that spans from business design through technical implementation to go-live.
Creation of custom data models to meet the business requirements of your use cases and documentation of these models in the SAP Datasphere modeling tools.
Further development and consulting on policies, processes, and technologies to ensure compliance with regulatory data governance and data quality requirements, as well as their procedural and methodological implementation in SAP Datasphere tools.
Migration of existing data-driven solutions, as well as reports and dashboards from other business intelligence systems, to a target SAP BDC architecture using SAP Datasphere for data harmonization, modeling, and delivery.
Specification and implementation of data integration from your SAP systems and third-party solutions into the SAP BDC/Datasphere architecture via native or custom interfaces. Depending on your needs, we can implement the connection as a batch or real-time integration, or via data virtualization (e.g., using the SAP BW Bridge).
Design and implementation of analytics solutions based on SAP Datasphere within the SAP BDC architecture, including reports and dashboards in the fully integrated SAP Anatics Cloud.
Modern Data Architectures
Architecture consulting to further develop your data architectures so they can sustainably meet the requirements of big data, real-time data processing, and cloud computing, including integration into a modern SAP target architecture using the SAP Business Data Cloud.
Cloud Transformation & Cloud Strategy
Consulting and support for the further development of your cloud strategy and cloud infrastructure—using SAP Datasphere as the central data and semantics layer within the SAP Business Data Cloud, based on the SAP Business Technology Platform (SAP BTP).
SAP Datasphere Implementation
Implementation of SAP Datasphere as a data and analytics layer within the SAP Business Data Cloud, using a holistic process model that spans from business design through technical implementation to go-live.
Data Modeling
Creation of custom data models to meet the business requirements of your use cases and documentation of these models in the SAP Datasphere modeling tools.
Data Governance
Further development and consulting on guidelines, processes, and technologies to ensure compliance with regulatory data governance and data quality requirements, as well as their procedural and methodological implementation in SAP Datasphere tools.
Transformation of Existing Data and Analytics Solutions
Migration of existing data-driven solutions, as well as reports and dashboards from other business intelligence systems, to a target SAP BDC architecture using SAP Datasphere for data harmonization, modeling, and delivery.
Integration of Data Sources
Specification and implementation of data integration from your SAP systems and third-party solutions into the SAP BDC/Datasphere architecture via native or custom interfaces. Depending on your needs, we can implement the connection as a batch or real-time integration, or via data virtualization (e.g., using the SAP BW Bridge).
Analytics and Reporting Solutions
Design and implementation of analytics solutions based on SAP Datasphere within the SAP BDC architecture, including reports and dashboards in the fully integrated SAP Analytics Cloud.
