About this demo
Data users lose confidence when they encounter errors in dashboards, missing data points, or broken pipelines. These issues not only delay decision-making but can also introduce legal, regulatory, and reputational risks.
Atlan’s proactive issue alerting transforms this challenge by enabling teams to identify and communicate data problems before consumers even notice them. You’ll see how Atlan integrates with data quality tools like Great Expectations and Monte Carlo, propagates issue signals across dependent assets via lineage, and automatically alerts users in their preferred communication channels through integrations like AWS EventBridge and webhooks.
You’ll also learn how features like announcements, custom metadata badges, and Chrome extensions make it easy to highlight trust indicators directly where users consume data. These capabilities ensure that trust and transparency are built into every step of the data experience.
The guide further provides frameworks for quantifying business impact and showcases real customer success stories, giving you actionable insights into improving adoption and reducing the hidden costs of bad data. Whether you’re focused on reducing risk, increasing trust in your data, or scaling adoption across your organization, this video will help you understand how proactive issue alerting in Atlan can prevent costly mistakes, save time, and build data culture at scale.