Discover AI Based Analytics powered by SAP Datasphere and SAC

SAP Datasphere provides AI-Powered Data Management with following features.

• Unified Data Access: Datasphere enables seamless access to data across SAP and non-SAP sources, ensuring a holistic view for AI models.
• Data Virtualization & Integration: Helps businesses consolidate and preprocess data efficiently for AI-driven analytics.
• Metadata Management & Governance: Ensures high-quality data with built-in governance, making AI models more accurate and reliable.

SAP Analytics Cloud (SAC) gives your AI-Driven Analytics with:

• Predictive Analytics & ML Integration: SAC has built-in predictive capabilities like regression, classification, and forecasting, allowing users to make data-driven decisions.
• Smart Insights & Smart Discovery: These features automatically detect patterns, anomalies, and key influencers, enabling businesses to uncover hidden trends.
• AI-Enhanced Decision-Making: SAC’s augmented analytics capabilities suggest next-best actions, helping organizations optimize operations, sales, and expenses.

Use Cases of AI-Based Analytics in Business

• Sales Forecasting & Demand Prediction: AI models in SAC predict sales trends, helping companies optimize inventory and pricing strategies.
• Operational Efficiency Optimization: AI-driven insights from Datasphere help streamline supply chain processes, reducing costs.
• Financial & Expense Analysis: Automated AI insights help finance teams detect anomalies and optimize budget allocations.
• Customer Experience Personalization: AI models analyze customer data to provide personalized recommendations and improve engagement.

SAP Datasphere and SAP Analytics Cloud (SAC) can transform your inventory, consumption, cost, revenue, and leakage analytics by providing:

? Real-time Data Integration – Get a unified view of inventory, consumption, and costs from SAP S/4HANA, SAP BW/4HANA, and other sources.

? AI-Driven Forecasting – Use predictive analytics to forecast demand, optimize stock levels, and reduce overstocking or shortages.

? Automated Anomaly Detection – Identify revenue leakages, fraud, or inefficiencies in your supply chain and procurement.

? Cost & Profitability Insights – Analyze cost trends, profitability margins, and hidden cost drivers.

? Smart Recommendations – AI-powered insights suggest actions to optimize operations and reduce waste.

How It Works for Your Business

?? Inventory Analytics

• Monitor stock levels in real-time across locations.
• Predict demand fluctuations using AI-driven forecasts.
• Optimize inventory turnover to reduce holding costs.

?? Consumption & Cost Analytics

• Track material consumption trends.
• Identify cost variances and inefficiencies.
• Get insights on procurement patterns and supplier performance.

?? Revenue & Leakage Analytics

• Detect pricing inconsistencies and revenue leakages.
• Identify underperforming products or services.
• Optimize pricing strategies based on AI-driven recommendations.

Your organization is looking for a scalable, open, AI-driven, and business-friendly data strategy, SAP BTP Datasphere is the better option. However, if you have a well-established enterprise data warehouse with strict governance, BW/4HANA may still be relevant. The best approach could be a hybrid model, where BW/4HANA acts as a governed data store while Datasphere extends it with modern cloud capabilities.

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