“Is my data OK?” Gain visibility into Schrödinger's data box through automated data health updates

As a data engineer, you have a lot on your plate. On top of finding and fixing errors and maintaining data pipelines, data engineers spend almost a third of their time communicating with stakeholders and data users: updating them on the state of pipelines and dashboards, responding to a barrage of Slacks and emails, and answering the same questions over and over again.

Your data users don’t have a clear way of seeing inside their data’s “box” (or pipelines), so they’re not sure whether their data is “good to go” or…not so fresh. Sometimes, you have trouble getting visibility into that box too.

With data.world, you can get back 30% of your time while ensuring that stakeholders – like analysts and business users – know the health of their data at all times.

Join us to see how data teams can automate and streamline communication about data quality, providing data users with real-time freshness statuses on reports and dashboards when and where they need it, like directly in the analytics tools they use everyday.

Learn how data.world:

• Monitors orchestration tools to provide automated, real-time status updates on pipeline health

• Provides status updates and data context to data users via embedded trust signals in their day-to-day tools like Tableau and Power BI

• Enables data users to discover more context about their data and find more insights

• Supports end-to-end visibility into your data supply chain via column-level lineage to streamline issue resolution