Data-driven organizations know that AI and analytics can only be trusted when the data behind them is transparent, high quality, and fully governed.

Poor data quality costs organizations an average of 15% of their revenue, and only 14% report having a mature data governance program in place. This gap creates risk, slows innovation, and limits AI adoption.

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.

You will also see how the Databricks Data Intelligence Platform and Unity Catalog simplify governance end to end without slowing down your teams.

what we’ll cover

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.

who’s it for

This webinar is ideal for:

• Data governance leaders and data protection officers
• BI and analytics managers focused on accuracy and consistency
• Platform architects modernizing governance frameworks
• AI and data engineering teams building trustworthy pipelines
• Decision makers responsible for risk mitigation and regulatory readiness

If your goal is to increase confidence in your data and ensure AI adoption is both scalable and compliant, this session will give you clear direction.

Join us on December 17 at 2 PM CET and learn how to build trust through data traceability.

Reserve your seat now.