Case Study: ZoomInfo achieves scalable data quality monitoring across billions of records with Telmai

ZoomInfo detects DQ issues in under 1 day with Telmai

ZoomInfo, a market leader in B2B sales and marketing intelligence, faced the challenge of proactively managing data quality across billions of complex, semi-structured records. Their reactive, rule-based processes struggled to detect unknown anomalies at scale, risking customer trust. To overcome this, ZoomInfo partnered with vendor Telmai to leverage its ML-powered data quality monitoring.

Telmai provided a solution with automated profiling, AI-driven anomaly detection, and remediation workflows. The platform integrated seamlessly with ZoomInfo's multi-cloud architecture, enabling rapid deployment and the ability to scan massive datasets without sampling. The results were significant, including profiling a critical data asset in just three hours and generating actionable data quality tickets in less than a day. This allowed ZoomInfo to ensure a consistent flow of accurate, reliable data to its clients.

ZoomInfo