DEMO: Preparing Trusted Data and Semantic Models in SAP Business Data Cloud

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If you are working on data products, analytics and planning enablement, or AI-ready data foundations, this video is a useful demonstration of how data preparation and semantic modeling come together in SAP Business Data Cloud.

Analytics are only as trusted as the data and semantics behind them. Today, organizations need more than dashboards. They need governed, explainable, and reusable business logic that can support self-service analytics, embedded insights, and increasingly, AI-assisted decision-making. That is where data preparation and semantic modeling play a critical role. Data preparation helps business users and data teams combine, clean, enrich, and structure information from multiple sources. Semantic modeling adds business meaning through measures, hierarchies, relationships, calculations, and context, helping ensure that data is understandable, consistent, and ready for trusted use.

Watch SAP Business Data Cloud in action through the end-to-end process from extracting and transforming data, to enriching data models with AI, building metrics, resolving data quality issues, mapping data correctly, and preparing trusted models for analytics and planning.

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