
The Data Trust Pyramid for Automated Data Operations





Data Quality
Monitoring data accuracy and data values


Data Profiling
Monitoring data distribution and segmentation



Data Observability
Monitoring data at rest for issues related to missing or stale data



Operational Observability
Monitoring data in motion for broken pipelines, including job failures, latency, not started jobs and data movement



Data Pipeline Traceability
Cross-platform lineage of data pipelines across the data stack including jobs and datasets

Turbocharge your ServiceNow Implementation


Real-time Bi-directional Ticketing and Status Updates in ServiceNow

Accurate Cycle Time Reporting

Consolidated Ticketing Across the Data Stack

Improved SLAs: MTTA, MTTD, MTTR