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

SLA Accuracy in ServiceNow: Are You Tracking the Signal or the Noise?

Automated data operations across your data stack

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