Global Industrial Tech Leader
Boosts engineering productivity by 30%
Automated observability and data enrichment improved agility and trust in data.
The problem
Data engineering teams spent a disproportionate amount of time triaging pipeline failures and enriching metadata manually. Lack of observability meant incidents were often discovered by downstream consumers rather than the data team, leading to trust erosion across the organization.
How Qelvora helped
Qelvora's agentless observability was deployed across the company's multi-cloud data platform, providing freshness, volume, and schema monitoring out of the box. Automated context enrichment populated the business glossary, reducing the onboarding time for new analysts.
The outcome
Data engineers reclaimed hours previously spent on manual triage and documentation. Analyst onboarding time dropped from weeks to days, and incident discovery shifted from consumers back to the data team.
See Qelvora in action
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