In this 30-minute session, you will learn how modern governance capabilities such as data lineage, quality monitoring, attribute-based access control, governed tags, and business semantics enable trustworthy, auditable, and scalable data systems.
This webinar will guide you through the foundations of data trust, with a practical look at how governance tools work in real environments:
- End-to-end Data Lineage: Learn how lineage increases transparency, supports regulatory compliance, accelerates troubleshooting, and strengthens confidence in AI outputs.
- Data Quality Monitoring: See how organizations use automated rules and expectations to detect anomalies early, prevent downstream issues, and meet reliability standards.
- Attribute-Based Access Control (ABAC): Understand why ABAC is considered a best practice for enterprise data security and how it enables dynamic, scalable access policies that reduce operational overhead.
- Governed Tags: Explore how unified tagging enables consistent classification, sensitive data handling, audit readiness, and fine-grained controls across your data estate.
- Business Semantics and Metric Views: Learn how semantic layers and governed metrics reduce inconsistent reporting, increase trust in KPIs, and strengthen decision-making across the business.
This is a practical, governance-in-action session designed to show how modern data platforms can strengthen trust while boosting productivity and accelerating AI initiatives.
Join us on December 17 at 2 PM CET and learn how to build trust through data traceability.
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