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Pantomath Report - Social Media_Web

The State of Data Observability 2024 Report is here! Building on last year's groundbreaking study, this report dives even deeper into the fast-changing world of data observability and its growing importance in data management.

Access insights from over 180 industry-leading data management decision-makers in a study conducted by CDO Magazine in collaboration with Pantomath.

Key Findings:

92% of leaders now see data reliability as a critical part of their data strategy.
Confidence is rising, but only among a select few.
Data observability is lagging: Incidents still take hours, days, or even weeks to resolve.

The demand for end-to-end visibility and pipeline lineage is rising, with 82% saying a crucial element is still missing.

Explore the future of data observability, enhance your data strategy, and unlock your team's potential. Download the 2024 State of Data Observability report to stay ahead in today's data-driven landscape!

  

Get “The State of Data Observability 2024” Report Now


About CDO Magazine

CDO Magazine is the premier digital publication giving voice to global executives in data, analytics, and AI. The publication delivers C-suite-worthy insights essential to accelerating adoption of enterprise disciplines – key to success in our digital society.

Our passion is to connect leaders in regional communities who share their thought leadership with our global community. We empower executives to experience a more profound sense of community through a platform where the best innovations, organizations and leaders are celebrated. 

With 400,000 viewers, CDO Magazine is read in 95% of countries globally. It has a Global Board of leading executives from 27 nations. 


About Pantomath

Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem. By creating automated cross-platform technical pipeline lineage, it provides context to complex data pipelines. 

Whether it's data quality and data at rest incidents or operational data in motion incidents, the ML-driven platform allows users to detect data issues in real-time, preventing business impact. End-to-end lineage, aggregated logs, and automated root cause-analysis streamline troubleshooting, reduce downtime, and prevent poor decisions by ensuring reliable data.

For more information, please visit
pantomath.com.