Leading Global Insurance Provider
Cuts underwriting time by 25%
Business-centric data management accelerated underwriting and claims processing.
The problem
Actuarial and underwriting teams struggled to locate authoritative data assets and understand their lineage. Data quality issues in policy and claims tables were discovered late in the cycle, causing rework and delays that affected customer SLAs.
How Qelvora helped
Qelvora's enterprise context features were used to build a curated business glossary mapped to policy, claims, and premium tables. Quality scoring at the table and column level gave underwriters a live signal on data trustworthiness before use.
The outcome
Underwriters could confidently begin analysis without waiting for manual data-quality sign-off. Claims processing pipelines with quality issues were flagged automatically, cutting downstream rework.
See Qelvora in action
Join 500+ data teams who rely on Qelvora to detect anomalies, score quality, and keep their data trustworthy.