What is a data operations center?
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What is a data operations center?
Learn More
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When no one owns Data Operations end to end, incidents repeat and trust erodes. See why standardizing Data Operations is critical for reliable, on-time data.
Learn about the data lineage challenges and how data pipeline traceability can provide a complete understanding of the data's journey to improve quality and reliability.
Here’s the uncomfortable truth: the way most organizations manage data incidents in ServiceNow is broken. Pantomath's Somesh Saxena gives his thoughts.
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As part of this investment, Pantomath is deepening its integration with the Snowflake AI Data Cloud. Learn more...
In this episode of the Digital CxO Leadership Insights Series, host Mike Vizard interviews Somesh Saxena, CEO of Pantomath, about the challenges and opportunities in achieving data observability.
Somesh Saxena featured in Data Center Knowledge's Trends and Predictions for 2025
The World’s Leading Companies Trust Pantomath
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Data reliability issues start earlier than you think. Learn why observability at ingestion is the foundation of trust and how proactive monitoring and automation change the game.
Bring Your Own Catalog (BYOC) and connect it with operational observability of our Job Catalog. The result is a complete view that combines business meaning with operational reliability.
CIOs and CDOs are blindsided by massive hidden costs in their data investments — and they’re not what you'd expect.
Funding accelerates the company’s mission to eliminate manual data operations by combining real-time monitoring, traceability and agentic AI to boost enterprise data reliability at scale.
Automated data operations are far more than just a way to boost efficiency. They're the very foundation for harnessing the power of AI and the journey doesn't start with tools and agents, it starts with giving agents access to reliable, trustworthy data – 100% of the time.
The partnership between Alation and Pantomath now integrates native metadata-driven data quality capabilities with end-to-end pipeline observability, creating a foundation for trusted data ecosystems.
