The video demonstrates how Alex creates a semantic chain of trust across enterprise applications like SAP to maintain data quality.
Key Highlights:
- Data Product Discovery: Locate mission-critical assets like "Material Demand Forecasting" via a 360-degree data marketplace view, complete with ownership and AI-readiness indicators.
- Semantic Lineage: Trace failures from executive reports back to their root cause in SAP HANA calculation views without digging through raw code
- Automated Diagnosis: Use visual cues and AI-driven explanations to identify specific column failures, such as completeness and uniqueness issues in product IDs.
- Remediation & Impact Analysis: Generate actionable remediation plans and perform end-to-end impact analysis to notify downstream asset owners of data inconsistencies.
- Unified Truth: Bridge the gap between transactional SAP data and your organisation's "golden truth" using cross-walk APIs to resolve identity crises in operational layers.




