Case Study: Clear Street Prevents $100M+ in Data Quality Issues with Metaplane

How Clear Street uses Metaplane to Prevent $100M+ Worth of Data Quality Issues

Clear Street, a modern prime brokerage platform in the financial technology industry, needed a robust data observability solution. As their cloud-based data stack scaled, the risk of costly data quality issues grew. A single incorrect data point could lead to millions of dollars in trading errors. They sought a tool to proactively monitor data quality, provide lineage for root cause analysis, and integrate with their existing stack, including Snowflake and Sigma. They evaluated Metaplane to address this challenge.

Metaplane provided Clear Street with a comprehensive data observability platform. They implemented over 300 monitors to track metrics like freshness, row counts, and distributions, which allowed them to catch a critical incident with a client's platform usage proactively. The built-in lineage also aided in deprecating a legacy database. As a result, Metaplane helped the company prevent over $100 million worth of potential data quality issues and instilled greater confidence in their data integrity.

Clear Street

David Wasserman

Senior Data Architect