The SAP Business Data Cloud (BDC) is an integrated SaaS platform that brings together data management, analytics, and AI in a unified architecture. It enables data from SAP and third-party systems to be made available centrally, contextualized according to business needs, and used for analysis, reporting, and data-driven applications.
Unlike isolated data and analytics solutions, SAP BDC takes a holistic approach: Existing systems are not replaced but integrated into an overarching platform. This results in a consistent database that supports both operational processes and analytical and AI-driven use cases. The SAP Business Data Cloud combines several key components, each of which performs specific tasks within the data and analytics architecture:
Data Integration & Modeling with SAP Datasphere
SAP Datasphere serves as the foundation for integrating and harmonizing data from SAP and non-SAP systems, as well as for mapping business data models. Together with SAP BDC Foundation Services, this data is provided in a structured format as data products, enabling consistent, business-contextualized use for analytics and AI.
→ Learn more about SAP Datasphere
AI and Data Engineering with SAP Databricks
With the integrated Databricks environment, you can perform advanced analyses, implement machine learning models, and carry out data engineering tasks directly on the provided data. In addition, the open ecosystem allows for the connection of other external data platforms—such as Google BigQuery or Snowflake—and their integration into the overall architecture to support additional analysis and processing scenarios.
→ Learn more about SAP Databricks
Analysis, Reporting, and Planning with SAP Analytics Cloud (SAC)
SAP Analytics Cloud enables the analysis of the provided data in the form of dashboards, analyses, and planning applications, and supports business units in making data-driven decisions.
→ Learn more about SAP Analytics Cloud
Integration of Existing Data Environments with SAP BW
Existing SAP BW systems can be seamlessly integrated into SAP BDC and continue to be used as data sources—as part of a modern, cloud-based data architecture.
→ Learn more about SAP BW
Prebuilt Applications with SAP BDC Intelligent Applications
Intelligent Applications enable the direct use of the provided data in specific business use cases. They combine data, analytics, and AI to automatically derive insights and provide actionable recommendations for business units.
The platform is complemented by SAP BDC Foundation Services, which enable the unified management and deployment of so-called data products. These are technically structured and reusable datasets that serve as the basis for analyses and AI applications.
This results in a unified data and analytics platform that combines data integration, modeling, analysis, and AI into a consistent, holistic view, helping companies use data efficiently and turn it into tangible value.
The SAP Business Data Cloud (BDC) is an integrated SaaS platform that brings together data management, analytics, and AI in a unified architecture. It enables data from SAP and third-party systems to be made available centrally, contextualized according to business needs, and used for analysis, reporting, and data-driven applications.
Unlike isolated data and analytics solutions, SAP BDC takes a holistic approach: Existing systems are not replaced but integrated into an overarching platform. This results in a consistent database that supports both operational processes and analytical and AI-driven use cases. The SAP Business Data Cloud combines several key components, each of which performs specific tasks within the data and analytics architecture:
Data Integration & Modeling with SAP Datasphere
SAP Datasphere serves as the foundation for integrating and harmonizing data from SAP and non-SAP systems, as well as for mapping business data models. Together with SAP BDC Foundation Services, this data is provided in a structured format as data products, enabling consistent, business-contextualized use for analytics and AI.
→ Learn more about SAP Datasphere
AI and Data Engineering with SAP Databricks
With the integrated Databricks environment, you can perform advanced analyses, implement machine learning models, and carry out data engineering tasks directly on the provided data. In addition, the open ecosystem allows for the connection of other external data platforms—such as Google BigQuery or Snowflake—and their integration into the overall architecture to support additional analysis and processing scenarios.
→ Learn more about SAP Databricks
Analysis, Reporting, and Planning with SAP Analytics Cloud (SAC)
SAP Analytics Cloud enables the analysis of the provided data in the form of dashboards, analyses, and planning applications, and supports business units in making data-driven decisions.
→ Learn more about SAP Analytics Cloud
Integration of Existing Data Environments with SAP BW
Existing SAP BW systems can be seamlessly integrated into SAP BDC and continue to be used as data sources—as part of a modern, cloud-based data architecture.
→ Learn more about SAP BW
Prebuilt Applications with SAP BDC Intelligent Applications
Intelligent Applications enable the direct use of the provided data in specific business use cases. They combine data, analytics, and AI to automatically derive insights and provide actionable recommendations for business units.
The platform is complemented by SAP BDC Foundation Services, which enable the unified management and deployment of so-called data products. These are technically structured and reusable datasets that serve as the basis for analyses and AI applications.
This results in a unified data and analytics platform that combines data integration, modeling, analysis, and AI into a consistent, holistic view, helping companies use data efficiently and turn it into tangible value.
SAP Business Data Cloud: SAP’s Integrated Data and AI Platform
Combines Data Management, Analytics, and AI in a Unified Environment
The SAP Business Data Cloud (BDC) is an integrated SaaS platform that brings together data management, analytics, and AI in a unified architecture. It enables data from SAP and third-party systems to be made available centrally, contextualized according to business needs, and used for analysis, reporting, and data-driven applications.
Unlike isolated data and analytics solutions, SAP BDC takes a holistic approach: Existing systems are not replaced but integrated into an overarching platform. This results in a consistent database that supports both operational processes and analytical and AI-driven use cases. The SAP Business Data Cloud combines several key components, each of which performs specific tasks within the data and analytics architecture:
Data Integration & Modeling with SAP Datasphere
SAP Datasphere serves as the foundation for integrating and harmonizing data from SAP and non-SAP systems, as well as for mapping business data models. Together with SAP BDC Foundation Services, this data is provided in a structured format as data products, enabling consistent, business-contextualized use for analytics and AI.
→ Learn more about SAP Datasphere
AI and Data Engineering with SAP Databricks
With the integrated Databricks environment, you can perform advanced analyses, implement machine learning models, and carry out data engineering tasks directly on the provided data. In addition, the open ecosystem allows for the connection of other external data platforms—such as Google BigQuery or Snowflake—and their integration into the overall architecture to support additional analysis and processing scenarios.
→ Learn more about SAP Databricks
Analysis, Reporting, and Planning with SAP Analytics Cloud (SAC)
SAP Analytics Cloud enables the analysis of the provided data in the form of dashboards, analyses, and planning applications, and supports business units in making data-driven decisions.
→ Learn more about SAP Analytics Cloud
Integration of Existing Data Environments with SAP BW
Existing SAP BW systems can be seamlessly integrated into SAP BDC and continue to be used as data sources—as part of a modern, cloud-based data architecture.
→ Learn more about SAP BW
Prebuilt Applications with SAP BDC Intelligent Applications
Intelligent Applications enable the direct use of the provided data in specific business use cases. They combine data, analytics, and AI to automatically derive insights and provide actionable recommendations for business units.
The platform is complemented by SAP BDC Foundation Services, which enable the unified management and deployment of so-called data products. These are technically structured and reusable datasets that serve as the basis for analyses and AI applications.
This results in a unified data and analytics platform that combines data integration, modeling, analysis, and AI into a consistent, holistic view, helping companies use data efficiently and turn it into tangible value.
Our expertise
Banking Expertise for Your Data Architecture
With extensive experience in transformation projects in the data and analytics field, we support you in integrating and implementing the SAP Business Data Cloud into your overall architecture. Together, we define a viable business and technical vision, prioritize requirements, and translate them into an actionable data and analytics architecture for self-service analytics, reporting, and planning. In doing so, we establish clear lines of responsibility, data governance structures, and data quality processes to ensure that data can be used consistently, comprehensibly, and reliably. On this basis, a unified One Domain Model is created that enables rapid, data-driven decisions while also serving as the foundation for analytics and AI applications.
End-to-End Implementation of the SAP Business Data Cloud
We provide technical support for the implementation of the SAP Business Data Cloud, from architectural design through implementation to operation. As part of this process, we design integration and authorization models, integrate SAP and non-SAP data sources, and implement data pipelines and semantic models. Performance, scalability, and security are an integral part of the architecture from the very beginning. In addition, we provide support for the modernization of existing BW environments and the development of a future-proof cloud data architecture.
We help you identify and implement AI use cases based on the SAP Business Data Cloud, from defining use cases to putting your data to productive use for machine learning and advanced analytics.
We support you in the architectural evolution of your existing data landscape into a scalable, cloud-based data and AI platform tailored to your domains, use cases, governance requirements, and data products.
Design, modeling, and implementation of customer-specific, semantically enriched data products as a reliable foundation for analytics and AI use cases.
Design and implementation of your transformation path: Optimizing and modernizing existing SAP BW assets through data products and leveraging new data and AI capabilities in SAP BDC as a strategic path forward for SAP BW customers.
End-to-end implementation of the SAP Business Data Cloud—from scope definition and design through configuration and implementation to go-live and team enablement—following a structured process model.
We are establishing a comprehensive governance framework—including roles, permissions, data lineage, and auditability—to ensure that data products are traceable, compliant, and secure to use.
Development of operations and support strategies for your SAP BDC, data products, and analytics content, including monitoring, cost control, and release and lifecycle management for continuous optimization.
We handle the professional and technical project management for your SAP BDC initiatives:
From initial planning through implementation to successful launch, we provide focused guidance to all project participants.
We help you identify and implement AI use cases based on the SAP Business Data Cloud, from defining use cases to putting your data to productive use for machine learning and advanced analytics.
We support you in the architectural evolution of your existing data landscape into a scalable, cloud-based data and AI platform tailored to your domains, use cases, governance requirements, and data products.
Design, modeling, and implementation of customer-specific, semantically enriched data products as a reliable foundation for analytics and AI use cases.
Design and implementation of your transformation path: Optimizing and modernizing existing SAP BW assets through data products and leveraging new data and AI capabilities in SAP BDC as a strategic path forward for SAP BW customers.
End-to-end implementation of the SAP Business Data Cloud—from scope definition and design through configuration and implementation to go-live and team enablement—following a structured process model.
We are establishing a comprehensive governance framework—including roles, permissions, data lineage, and auditability—to ensure that data products are traceable, compliant, and secure to use.
Development of operations and support strategies for your SAP BDC, data products, and analytics content, including monitoring, cost control, and release and lifecycle management for continuous optimization.
We handle the professional and technical project management for your SAP BDC initiatives:
From initial planning through implementation to successful launch, we provide focused guidance to all project participants.
We help you identify and implement AI use cases based on the SAP Business Data Cloud, from defining use cases to putting your data to productive use for machine learning and advanced analytics.
We support you in the architectural evolution of your existing data landscape into a scalable, cloud-based data and AI platform tailored to your domains, use cases, governance requirements, and data products.
Design, modeling, and implementation of customer-specific, semantically enriched data products as a reliable foundation for analytics and AI use cases.
Design and implementation of your transformation path: Optimizing and modernizing existing SAP BW assets through data products and leveraging new data and AI capabilities in SAP BDC as a strategic path forward for SAP BW customers.
End-to-end implementation of the SAP Business Data Cloud—from scope definition and design through configuration and implementation to go-live and team enablement—following a structured process model.
We are establishing a comprehensive governance framework—including roles, permissions, data lineage, and auditability—to ensure that data products are traceable, compliant, and secure to use.
Development of operations and support strategies for your SAP BDC, data products, and analytics content, including monitoring, cost control, and release and lifecycle management for continuous optimization.
We handle the professional and technical project management for your SAP BDC initiatives:
From initial planning through implementation to successful launch, we provide focused guidance to all project participants.
