Introducing Snowplow Data Quality Dashboard
Blog post from Snowplow
Snowplow introduces the Data Quality Dashboard, a tool designed to enhance data quality monitoring by enabling users to quickly detect, diagnose, and resolve failed events within the Snowplow Console. The dashboard provides a centralized, interactive interface for tracking data quality, offering detailed insights into failed events, including payloads, schema details, and error messages, while supporting customizable filtering and prioritization to focus on critical issues. Users benefit from full transparency and control over data quality issues, with secure connections and support for platforms like Snowflake and BigQuery, and imminent support for Databricks. By offering detailed event diagnostics and app version tracking, the dashboard aims to streamline workflows and improve response times to tracking errors, addressing common industry challenges such as excessive error noise and limited actionable insights.
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