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.
SAN
FRANCISCO, Nov. 20, 2024 /PRNewswire/ -- Telmai, the
AI-powered, open-architecture data observability company, proudly
announces ZoomInfo (NASDAQ: ZI) as its newest client. Through
this partnership, ZoomInfo now leverages Telmai's machine
learning-driven data quality monitoring platform to proactively
manage and enhance data integrity across its extensive data
ecosystem, with near-term plans to integrate connections to open
table formats such as Apache Iceberg.
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