As companies ingest more and more data and data pipelines become increasingly complex, the opportunity for error grows, manifesting in everything from a broken dashboard to a null value.

Here are 3 tell-tale signs your data engineering team could benefit from data observability, the modern data stack’s newest layer._

A customer recently asked me: “how do I know if I can trust my data?”

When I was the VP of Customer Success at Gainsight, this question came up a lot. Every data organization I worked with was different, with their own service level agreements (SLAs), security requirements, and KPIs for what “accurate, high quality data” looked like. Between all of these data teams, however, a common theme emerged: the need for a better approach to monitoring the reliability of data and eliminating data downtime.

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