What is SAP Business Data Cloud?

SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.

SAP Business Data Cloud

Siloed, low-quality data sits unused, leading to missed opportunities and unnecessary costs. A global survey of 1,200 business and technology leaders found that 55% cite poor data quality as their biggest challenge.

 

AI reaches its full potential with high-quality, unified data, driving predictive insights, advanced modeling, and optimized outcomes.

 

SAP Business Data Cloud brings together the world’s most comprehensive and mission-critical data with the leading data platform to deliver transformational insights across all lines of business. It provides access to all your SAP data across your most important business processes in a deeply contextual and governed manner that eliminates the high costs of data extraction and replication.

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How SAP Business Data Cloud fuels every part of your organization

The key to SAP Business Data Cloud is that it harmonizes all your data—SAP data and non-SAP data from third-party sources—and delivers it with full business context.

 

Intelligent applications that know your business

SAP Business Data Cloud Intelligent Applications are adaptive, AI-driven applications that learn from your data, understand business context, and act on your behalf to transform business outcomes. Intelligent applications use fully managed SAP data products across all lines of business, eliminating hidden costs of data extracts and saving time, resources, and effort.

 

Trusted data products

Get a comprehensive view of key business processes with prebuilt data products that incorporate SAP deep application knowledge and industry best practices. These curated, governed data products deliver ready-to-use data by packaging it with context, business semantics, documentation, and APIs to accelerate various business use cases.

 

Business data fabric

As a complete solution for data and analytics, SAP Business Data Cloud delivers fully managed capabilities for business data fabric, SAP Business Warehouse (SAP BW) modernization, planning, and data engineering. Additionally, industry-leading AI/machine learning (ML) capabilities in SAP Databricks accelerate AI workloads on your SAP application data.

 

AI-enriched decision-making

Build a trusted foundation for AI with tools that are responsible, context-aware, and enterprise-ready. A connected knowledge graph helps intelligent applications understand your data’s relationships. The Joule copilot automates workflows and extracts key insights, while AI capabilities support complex planning, forecasting, and simulations—including Monte Carlo methods for risk analysis and time-series predictions.

Components of SAP Business Data Cloud

Closing the data divide—the fragmented, disconnected context between IT experts and decision makers—requires real-time data insights delivered with business context. As an evolution of our industry-leading data, planning, and analytics solutions, SAP Business Data Cloud brings together Datasphere, Analytics Cloud, SAP Databricks, and SAP BW with a unified experience that delivers transformational insights across all lines of business.

 

  • Datasphere: Discover, share, and model the same trusted data across your business data fabric

  • Analytics Cloud: Bring together analytics and enterprise planning in a single system

  • Business Warehouse: Modernize your SAP BW data in the cloud without disruption

  • SAP Databricks: Unite mission-critical data with industry-leading AI, machine learning, data science, and data engineering—all in a single solution

  • SAP Business Data Cloud Intelligent Applications: Automate, adapt, and learn in real time with AI-driven applications that understand your business

Benefits of SAP Business Data Cloud

To drive strategic decisions and innovation, business leaders need integrated, reliable, and accessible data.

 

SAP Business Data Cloud is designed to preserve data integrity and context through its deep integration with SAP applications, creating a unified, trusted AI foundation.

 

Here’s how customers can benefit from SAP Business Data Cloud:

  • Transform outcomes with intelligent applications: Automate, adapt, and learn in real time with AI-driven applications that understand your business

  • Connect all your data: Harmonize all your mission-critical data with an open data ecosystem, leveraging a powerful semantic layer to give you an unmatched knowledge of your business

  • Foster reliable AI: Ensure data across applications and operations has a foundation for generative AI that is reliable, responsible, and relevant

Use cases for SAP Business Data Cloud

Turn the most valuable business data from every part inside and outside of your organization into semantically-rich data that fuels AI innovation.

Here are four common use cases for SAP Business Data Cloud.

 

Enterprise resource planning

  • Automatically uncover key insights to identify risks and opportunities, such as an increase in Days Sales Outstanding, and enhance your working capital strategy

  • Consolidate key financial data into a unified view, reducing manual effort and simplifying decision making

  • Leverage AI across your enterprise applications to elevate forecasting, planning, and operations capabilities

 

Finance

  • Make better business decisions with prebuilt applications that harmonize financial, operational, and third-party data and deliver immediate insights

  • Link key financial and operational KPIs and data—like margin drivers, cost centers, and revenue channels—to uncover what’s influencing performance across your business

  • Enable anomaly detection, predictive scenario planning, and forecasting with AI fueled by your business data

 

Supply chain

  • Anticipate risk, model downstream impact, and evaluate supplier alternatives with intelligent applications embedded into workflows

  • Connect operational and financial data to improve decision-making, control costs, and align logistics and procurement

  • Use AI agents trained on business data and semantics to detect anomalies, recommend actions, and trigger hands-free execution across planning, manufacturing, and logistics

 

Human resources

  • Empower HR and business leaders with people analytics and tailored, practical insights to make data-driven decisions that align workforce strategies with business priorities

  • Provide high-quality, harmonized data for impactful workforce planning and seamless collaboration across the business

  • Quickly identify and address hiring needs, skills demands, and attrition risks with AI recommendations from Joule copilot

Get started with SAP Business Data Cloud

Start your journey with SAP Business Data Cloud and amplify the value of AI with your most powerful data.

FAQ

SAP Business Data Cloud is deeply integrated across SAP applications, so your most critical data retains its original business context and semantics and the hidden costs of data extracts are eliminated—saving you time, resources, and effort.

SAP Business Data Cloud delivers intelligent applications and curated data products across all lines of business. As a complete solution for data and analytics, it also delivers fully managed capabilities for business data fabric, SAP Business Warehouse modernization, planning, data engineering, and machine learning and artificial intelligence.

Existing SAP Datasphere and SAP Analytics Cloud customers can continue their services without interruption. Over time, customers have the option to transition their current solutions to a fully managed solution with SAP Business Data Cloud.

SAP Business Data Cloud is the path forward for current on-premises SAP Business Warehouse (SAP BW) application customers. With SAP Business Data Cloud, customers optimize their existing SAP BW data by turning it into data products and take advantage of the latest data and AI capabilities, such as bidirectional data sharing and machine learning, while modernizing to the cloud.

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