What is a data operations center?
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What is a data operations center?
Learn More
Our Blog
Take a deep dive into the The 5 Pillars of Data Observability, and End-to-end data observability.
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...
Shashank Saxena, Pantomath CEO, unpacks what’s really behind AI’s 95% failure rate — and why it has nothing to do with model accuracy.
The company will invest in product development, go-to-market expansion and hiring.
The World’s Leading Companies Trust Pantomath
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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.
2026 predictions for data leaders on where accountability shifts next, from AI data pipelines and data quality risk to stack consolidation and audited data products.
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The DOC isn’t a “nice-to-have,” it’s the next frontier—and it’s here. Read about the evolution from NOC to SOC to DOC, three functions enterprises cannot go without.
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Pantomath announced today that it has achieved ISO/IEC 27001:2022 certification for its Information Security Management System (ISMS).
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Discover how Agentic AI transforms L1–L3 incident response, automating root cause analysis and streamlining data operations across the enterprise.
Data operations don’t fail because of tools, they fail because they’re fragmented. A unified scheduling view brings order, reliability, and confidence - see how.
