Case Study: Crux achieves reliable data quality at scale with Bigeye

Crux reduces errors by 40% with Bigeye

Crux, a company that solves complex data problems at scale for highly-sensitive industries like financial services, faced the challenge of finding a best-in-class data observability solution. They needed a highly reliable and customizable platform to monitor data quality across their 50,000+ pipelines, as any loss of reliability could pose significant risk for their customers.

Bigeye provided a solution built for scale, bringing reliability and flexibility to Crux's data quality monitoring. By implementing Bigeye, Crux achieved a 40% reduction in errors, saved 20 hours of engineering time per week, and realized $100k in cost savings, allowing them to better meet their customers' needs.

Crux