Telmai, an AI-powered, open-architecture data observability company, announces its latest partnership with ZoomInfo, a global leader in go-to-market solutions. Through this collaboration, ZoomInfo leverages Telmai's machine learning-driven data quality monitoring platform to proactively maintain and improve data integrity across its vast data ecosystem, ensuring a seamless experience for its customers.

1. ZoomInfo's Data Ecosystem and the Need for Advanced Data Quality Monitoring

• Data Complexity: ZoomInfo processes over 1.5 billion data points daily, with a vast network of data distributed across cloud platforms like Snowflake, BigQuery, and data lakes such as S3 and GCS.
• Customer Trust: Ensuring the accuracy, consistency, and timely delivery of this data is vital to maintaining customer trust and operational success.
• Challenges: Managing data quality at scale across a multi-cloud infrastructure requires advanced automation to proactively detect and address issues without significant overhead.

2. How Telmai's Platform Enhances Data Integrity for ZoomInfo

• Machine Learning-Driven Anomaly Detection: Telmai's platform uses ML-powered anomaly detection to identify issues at the record level among billions of data points.
• Scalability and Automation: Telmai's solution automates the monitoring and remediation of data quality across ZoomInfo's infrastructure, streamlining workflows and allowing for rapid identification and resolution of anomalies.
• Seamless Integration: The platform integrates smoothly into ZoomInfo's existing systems, offering quick onboarding and ease of use, with the ability to scan new data sources in minutes.

3. Key Benefits for ZoomInfo

• Faster Issue Detection: Telmai flagged issues within hours during the pilot phase, outperforming other data quality tools ZoomInfo had previously evaluated.
• Cost-Efficiency: Operating within ZoomInfo's GCP setup, Telmai ensures that the company retains complete control over its data, eliminating the need for external data transfers and avoiding costly third-party processing.
• Enhanced Customer Experience: By enabling full-volume data quality monitoring and automated remediation workflows, Telmai helps ZoomInfo deliver more accurate and timely insights to its 35,000+ clients worldwide.

4. Statements from ZoomInfo and Telmai Executives

• Dr. Ethan D. Peck, Director of Data Engineering at ZoomInfo:
  • “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.”
• Telmai’s Role in the Future of Data Quality:
  • “This partnership is a perfect example of how Telmai’s AI-driven solutions can tackle the most pressing challenges of modern data ecosystems while enabling scalability and seamless integration into existing infrastructures,” said a Telmai spokesperson.

The partnership between Telmai and ZoomInfo underscores the importance of automated, scalable solutions for data quality in complex data environments. With Telmai's machine learning-driven monitoring platform, ZoomInfo is positioned to improve data integrity, enhance the customer experience, and achieve operational excellence.