SAP Business Data Cloud

Leverage SAP BDC's Knowledge Graph to connect data, metadata, and processes, enabling Joule to comprehend your business relationships rather than just viewing isolated data points

Ask questions like "What were our top three risk drivers in Q1?" or "Show forecast variances by region" and get immediate visualized answers.

Run "what-if" scenarios (e.g., supply chain disruptions or price changes) directly in SAP Analytics Cloud; Joule offers assistance with both setup and evaluation.

Automate forecasting and risk assessments – Joule continuously refines models using up-to-date transaction data, enabling you to detect anomalies at an early stage.

Transfer multi-level workflows – e.g., travel expenses, order confirmations or group invoices – to Joule simply by voice command.

Ask for "Summary of last week's backlog" or "Draft one-pager for sales development" and get finished, shareable documents.

Joule executes regular transactional tasks, like generating supplier invoices or scheduling production orders, at speeds up to 90% quicker than manual input.

Enhance Joule with your own macros, APIs or partner LLMs so that the Copilot maps your individual processes.

Eliminate silos – coordinate tasks across SAP, Microsoft 365, Salesforce and other systems through a unified conversation interface.

Tailor AI agents to functions (e.g., purchasing, finance, HR) and show only relevant skills, data views and compliance requirements.

End-to-end encryption and role-based permissions ensure that all data access meets compliance requirements.

Verknüpfen Sie Skills zu Multi-Agenten-Szenarien („Cashflow-Forecast analysieren, Zahlungsbedingungen anpassen, Vertrieb informieren“), um funktionsübergreifende High-Impact-Ergebnisse zu erzielen.

Leverage leading LLMs and vision services from SAP partners – switch or mix engines as required.

Leverage SAP's policies for audit trails, data lineage, bias detection and usage monitoring, embedded in your business processes.

Start with over 130 ready-to-use AI scenarios for planning, service and operations and expand to 400 by the end of 2025.

Take advantage of regular feature releases and community extensions to keep Joule to keep Joule leading in enterprise AI.

• Self service analyses: Easy to use, without IT dependency.
• Personalized dashboards: Everyone can see what's important to them.
• AI & machine learning: Smart recommendations and forecasts.
• Integration: Seamlessly integrated with SAP and non-SAP systems.
• Action-oriented: Start measures directly from the app.

• Ready-to-use: Immediately usable without programming, saving both time and resources.
• Making data-driven decisions: Real-time insights enable well-founded decisions and quick reactions to market changes.
• Customizable: Adapts to specific roles and industry requirements for maximum relevance.
• Collaborative: Results can be easily shared and collaborated on, promoting teamwork.
• Integrated: Leverage existing SAP data models for seamless integration with existing systems.

• AI revenue forecasting: Predict future sales based on historical data and market trends.
• Customer churn analysis: Identify customers who are likely to churn and create strategies to keep them engaged.
• Supply chain early warning system: Identifying possible disruptions in the supply chain and taking proactive steps to reduce risks.
• Data protection act dashboards at the touch of a button: Automatic creation of dashboards to comply with the General Data Protection Regulation (GDPR).

• Centrally manage and consume data through a powerful platform.
• Securely connect and harmonize data from multiple sources.
• Real-time analytics for fast, informed decisions.
• Unified data landscape for flexible and scalable data management.
• Optimal integration with the SAP Business Data Cloud for maximum efficiency.

For more information on SAP Datasphere

What is the SAP Analytics Cloud?

• SAP Analytics Cloud offers a unique combination of real-time business intelligence, integrated planning and advanced analytics with AI – all based on the powerful SAP HANA Cloud platform.

Features SAP Analytics Cloud

• Real-Time Business Intelligence
  Make informed decisions with interactive dashboards and data visualizations.
• Integrated Planning & Forecasting
  Connect teams with collaborative planning and respond flexibly to change.
• Enhanced Analytics with AI
  Leverage intelligent features like natural language queries and machine learning.
• Seamless Data Integration
  Connect SAP and non-SAP data sources – e.g., Excel, Google Sheets and many more.
• Cloud-based, secure and scalable
  Maximum security and flexibility – ideal for organizations of any scale.

Advantages of SAP Analytics Cloud?

• All in one solution: Analysis, planning and forecasting
• Intuitive and user-friendly
• Faster decisions thanks to real-time data
• Trust through SAP – the leading provider of enterprise software, paired with msg's industry expertise

Further information on SAP Analytics Cloud

What does the integration of SAP Business Data Cloud with SAP Databricks mean?

• The integration combines SAP's structured data models with SAP Databricks' AI/ML and big data analytics platform. This allows organizations to connect SAP data to external sources and use modern algorithms, without data duplication and with full control and security.

Advantages of the integration

• Rapid access to AI without data science expertise: Leverage the latest AI technologies to improve processes, predict customer behavior and increase competitiveness.
• Unified Data Governance: SAP data remains in central data management, making it secure, scalable and fully integrated.
• High-Speed Analytics: Leverage Spark & Lakehouse architecture.
• Combination of SAP data and external sources via SAP Databricks: SAP Databricks is capable of integrating and transforming data from multiple sources, including cloud, on-premises, NoSQL, and data lakes, before delivering it in a consolidated format to SAP BDC for further processing.
• Advanced AI Models: Training complex models on SAP data provides real-time insights directly into operations and can be used across industries.
• Bidirectional Integration: Integrate results back into the SAP ecosystem, such as SAP Datasphere and SAP Analytics Cloud.

Use Cases SAP Databricks AI

• Finance: Predict market trends and optimize risk management through real-time data analysis.
• Healthcare: Improve patient care by analyzing health data and identifying treatment patterns.
• Production: Increasing productivity through predictive maintenance and optimization of production processes.
• Retail: Personalized customer experiences by analyzing buying behavior and preferences.
• Transportation and Logistics: Optimize supply chains through real-time insights and prediction of disruptions.
• Energy and Supply: Efficient resource management and forecasting of energy demand by analyzing consumption patterns.

BW Modernization

• Approach:  SAP BW 7.5 on Hana and SAP BW4HANA in the SAP Business Data Cloud modernize your data warehouse solutions. Data is securely transmitted, centrally managed and used for analysis. This integration provides scalable solutions and real-time access to business information. You benefit from consistent data and easy management, which supports innovative analytics. 
• Seamless Integration: SAP BW data can be seamlessly integrated into the SAP Business Data Cloud, creating a unified data platform.
• Advanced Analytics: By integrating SAP BW data into the BDC, advanced ML/AI use cases can be implemented directly on this data.
• Flexibility: Customers can choose whether they want to process their SAP BW data in SAP Datasphere or SAP Databricks.
• Preservation of semantics: The semantics of the data are preserved regardless of the data processing solution.
• Combining legacy and new data: SAP BW data can be combined with new data in an SQL-based modeling approach, without the constraints of a legacy architecture.

Advantages

• Extended Maintenance: Customers can move their SAP BW data to a private cloud environment, extending maintenance until 2030 for SAP BW 7.5 on HANA systems.
• Cloud Readiness: The infrastructure is managed by SAP, which improves cloud readiness.
• Increased Efficiency: The integration and modernization of SAP BW data into the BDC leads to more efficient data processing and analysis.
• Enhanced Use Cases: The capability to implement ML/AI use cases directly on SAP BW data broadens the range of applications and enhances business value.