ZoomInfo uses Telmai to automate data quality at scale, over billions of data records and across multiple cloud sources
ZoomInfo (NASDAQ: ZI) has partnered with Telmai to enhance its data quality monitoring capabilities across its multi-cloud infrastructure. Processing over 1.5 billion data points daily for more than 35,000 businesses, ZoomInfo implemented Telmai's ML-driven platform to automate data quality management across various cloud sources including Snowflake, BigQuery, S3, and GCS. The solution enables quick data source scanning, automated anomaly detection, and streamlined remediation workflows. According to Dr. Ethan D. Peck, Director of Data Engineering, Telmai's system identified record-level issues within hours during the pilot phase, operating entirely within ZoomInfo's GCP setup without requiring external data transfers.
ZoomInfo (NASDAQ: ZI) ha stretto una partnership con Telmai per migliorare le capacità di monitoraggio della qualità dei dati nella sua infrastruttura multi-cloud. Elaborando oltre 1,5 miliardi di punti dati al giorno per più di 35.000 aziende, ZoomInfo ha implementato la piattaforma basata su ML di Telmai per automatizzare la gestione della qualità dei dati attraverso diverse fonti cloud, tra cui Snowflake, BigQuery, S3 e GCS. La soluzione consente una rapida scansione delle fonti dati, rilevamento automatico delle anomalie e flussi di lavoro di rimedio semplificati. Secondo il Dr. Ethan D. Peck, Direttore dell'Ingegneria dei Dati, il sistema di Telmai ha identificato problematiche a livello di record nel giro di poche ore durante la fase pilota, operando interamente all'interno dell'impostazione GCP di ZoomInfo senza richiedere trasferimenti di dati esterni.
ZoomInfo (NASDAQ: ZI) se ha asociado con Telmai para mejorar sus capacidades de monitoreo de calidad de datos en su infraestructura multi-nube. Procesando más de 1.5 mil millones de puntos de datos diarios para más de 35,000 empresas, ZoomInfo implementó la plataforma impulsada por ML de Telmai para automatizar la gestión de la calidad de datos a través de diversas fuentes en la nube, incluyendo Snowflake, BigQuery, S3 y GCS. La solución permite un escaneo rápido de fuentes de datos, detección automática de anomalías y flujos de trabajo de remediación optimizados. Según el Dr. Ethan D. Peck, Director de Ingeniería de Datos, el sistema de Telmai identificó problemas a nivel de registros en horas durante la fase piloto, funcionando completamente dentro de la configuración GCP de ZoomInfo sin requerir transferencias de datos externas.
ZoomInfo (NASDAQ: ZI)는 Telmai와 협력하여 다중 클라우드 인프라 전반에 걸쳐 데이터 품질 모니터링 기능을 강화했습니다. 하루에 15억 개 이상의 데이터 포인트를 처리하며 35,000개 이상의 기업을 위해, ZoomInfo는 Snowflake, BigQuery, S3 및 GCS를 포함한 다양한 클라우드 소스에서 데이터 품질 관리를 자동화하기 위해 Telmai의 ML 기반 플랫폼을 구현했습니다. 이 솔루션은 데이터 소스의 빠른 스캔, 자동 이상 탐지 및 간소화된 수정 작업 흐름을 가능하게 합니다. 데이터 엔지니어링 이사인 Ethan D. Peck 박사에 따르면, Telmai 시스템은 파일럿 단계에서 몇 시간 내에 레코드 수준의 문제를 식별했으며, 외부 데이터 전송 없이 ZoomInfo의 GCP 설정 내에서 전적으로 작동했습니다.
ZoomInfo (NASDAQ: ZI) a établi un partenariat avec Telmai pour améliorer ses capacités de surveillance de la qualité des données à travers son infrastructure multi-cloud. Traitant plus de 1,5 milliard de points de données par jour pour plus de 35 000 entreprises, ZoomInfo a mis en œuvre la plateforme alimentée par ML de Telmai pour automatiser la gestion de la qualité des données de diverses sources cloud, y compris Snowflake, BigQuery, S3 et GCS. La solution permet un scan rapide des sources de données, une détection automatique des anomalies et des flux de travail de remédiation rationalisés. Selon le Dr. Ethan D. Peck, directeur de l'ingénierie des données, le système de Telmai a identifié des problèmes au niveau des enregistrements en quelques heures pendant la phase pilote, fonctionnant entièrement dans la configuration GCP de ZoomInfo sans nécessiter de transferts de données externes.
ZoomInfo (NASDAQ: ZI) hat sich mit Telmai zusammengeschlossen, um die Datenqualitätsüberwachungsfähigkeiten seiner Multi-Cloud-Infrastruktur zu verbessern. Mit der Verarbeitung von über 1,5 Milliarden Datenpunkten täglich für mehr als 35.000 Unternehmen hat ZoomInfo die ML-gesteuerte Plattform von Telmai implementiert, um das Datenqualitätsmanagement über verschiedene Cloud-Quellen wie Snowflake, BigQuery, S3 und GCS zu automatisieren. Die Lösung ermöglicht eine schnelle Überprüfung von Datenquellen, automatisierte Anomalieerkennung und rationalisierte Abläufe zur Behebung. Laut Dr. Ethan D. Peck, Direktor der Datenverarbeitung, identifizierte das System von Telmai innerhalb weniger Stunden aufzeichnungsspezifische Probleme während der Pilotphase und arbeitete vollständig innerhalb der GCP-Einrichtung von ZoomInfo, ohne externe Datenübertragungen zu erfordern.
- Processes over 1.5 billion data points daily serving 35,000+ businesses
- Successfully implemented automated data quality monitoring across multiple cloud platforms
- Achieved faster data source scanning and issue detection compared to previous solutions
- Eliminated external data transfer costs through GCP integration
- None.
Insights
The partnership with Telmai marks a significant technological advancement in ZoomInfo's data quality management infrastructure. Processing 1.5 billion data points daily requires robust automation and monitoring capabilities. The implementation of ML-driven anomaly detection across multiple cloud platforms (Snowflake, BigQuery, S3, GCS) represents a strategic move to enhance operational efficiency and data accuracy.
The rapid deployment capability, with new data source connections taking minutes instead of weeks, coupled with the ability to operate within ZoomInfo's existing GCP infrastructure, indicates potential cost savings and improved resource utilization. This automation of data quality processes should strengthen ZoomInfo's competitive position in the B2B data intelligence market by ensuring higher data accuracy and reducing manual oversight requirements.
A leading go-to-market platform provider, ZoomInfo leverages Telmai to achieve scalable, proactive data quality monitoring across its data ecosystem, boosting accuracy and efficiency.
As the go-to-market platform to find, acquire, and grow customers, ZoomInfo processes over 1.5 billion data points daily to deliver critical insights to more than 35,000 businesses worldwide. Ensuring accuracy, consistency, and timely delivery are essential for maintaining customer trust and operational success. While ZoomInfo invested substantial resources in maintaining data quality, the company recognized the need for an advanced solution to automate data quality at scale while addressing issues proactively across its multi-cloud infrastructure and handling the scale and complexity of its data without imposing significant resource overhead.
ZoomInfo's data is distributed across warehouses like Snowflake and BigQuery, as well as data lakes like S3 and GCS that contain data in flat file formats or open-table formats like Iceberg. The company's primary goals included enhancing the customer experience through full-volume data quality monitoring, automated anomaly detection, and streamlined remediation workflows, all while ensuring compatibility with existing systems and supporting long-term sustainability.
Designed for ease of use and scalability, Telmai's intuitive interface made it easy for various business and data engineering teams at ZoomInfo to adopt without extensive training and with minimal setup time. Connecting and scanning new data sources took just minutes, a sharp improvement over the weeks or months required by other solutions.
"During the pilot, Telmai's ML-driven anomaly detection flagged record-level issues among billions of data points, enabling our team to take actionable steps and generate tickets to address these concerns within hours, outperforming any other data quality tool we've evaluated," said Dr. Ethan D. Peck, Director of Data Engineering at ZoomInfo. "Operating entirely within ZoomInfo's GCP setup, Telmai handled the onboarding of complex tables and allowed us to retain complete control over our data, eliminating external data transfers and avoiding the high costs of third-party processing."
For a deeper look into how ZoomInfo leveraged Telmai to address complex data quality challenges across its heterogeneous data landscape, click here to access the complete case study. To learn more about Telmai, please visit their website or request a demo of the product.
About Telmai
Telmai is a data observability platform that enables enterprise data owners to monitor and detect real-time data issues. The platform leverages AI to monitor all data passing through the data pipeline before entering the data warehouse, protecting downstream systems and analytics used for decision-making. Telmai's real-time architecture supports anomaly detection closest to data sources and works over complex data types with native support for nested and multi-valued attributes. For more information, please visit Telmai.
Media Contact:
Steve Carman
steve.carman@telm.ai
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SOURCE Telmai
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