Case Study: CapSpecialty achieves 20x faster delivery of insurance premium insights with Snowflake

Capspecialty Accelerates Time to Market by 20x With Snowflake

CapSpecialty, a Hartford-based insurer serving small and mid-sized companies across construction, environmental, healthcare and specialty lines, struggled with an on‑premises data warehouse that updated only monthly, created multi‑day waits for analytics, and forced underwriters into time‑consuming manual reporting and spreadsheet‑driven processes. The company needed a secure, scalable, and responsive cloud solution to enable near‑real‑time data, advanced analytics, app integration, and lower operational costs.

CapSpecialty migrated to Snowflake and built a pipeline using SnowSQL, the Python connector and Amazon S3, with Power BI for visualization. Snowflake’s multi‑cluster shared data architecture cut month‑end processing from days to minutes and delivered premium insights within six minutes (a 20× improvement), created a single source of truth, eliminated data silos, democratized analytics for underwriters and executives, saved the equivalent of two FTEs, reduced TCO with per‑second pricing and near‑zero maintenance, and paved the way for coverage, claims and predictive analytics.

CapSpecialty

Brian Wert

Head of Information Technology/CIO