Case Study: iPipeline achieves 10x faster product launch time with Snowflake

iPipeline Decreases Product Launch Time by 10x With Snowflake

iPipeline is a Pennsylvania‑based SaaS provider that automates life insurance and annuity sales, compliance, and support for a community of 150+ carriers, 1,400 distributors and financial institutions, and 600,000+ agents, ingesting massive volumes of data (1.5 billion quote responses, 55 billion in premiums, and 25 million lives protected). Faced with growing demand for near‑real‑time, self‑service access, iPipeline’s legacy ETL and custom reporting processes were slow, resource‑intensive (a single custom feed required ~120 development hours) and could not keep pace with expanding data volumes or customer expectations.

iPipeline migrated to Snowflake, using Snowpipe, multi‑cluster shared data architecture and Secure Data Sharing to consolidate ten ETL processes into one automated pipeline, create a single source of truth, and deliver governed, near‑real‑time data access across multiple clouds. The move eliminated DBAs, freed engineering resources for higher‑value projects, and enabled a subscription data‑as‑a‑service offering; InsureSight® data launches are now 10x faster, customers get self‑service reporting and benchmarking in near real time, and iPipeline can scale to meet any customer data use case.

iPipeline

David Libesman

Vice President, Data Analytics Practice