Case Study: Large Insurance Company achieves scalable NLP processing (8 million documents/hour) and faster insights with IQVIA's NLP Data Factory

Insurance Innovation: The Strategic Advantage of Natural Language Processing

Large Insurance Company needed a repeatable, scalable way to turn vast troves of unstructured and semi-structured text into accurate structured data for claims, underwriting, and experience analysis. Facing reliance on custom scripts, legacy vendors, and manual abstraction, they set strict requirements for scalability (millions of records per hour), transparency, and self-service flexibility and ran a one-year pilot with IQVIA using the IQVIA NLP Data Factory to validate the approach and tailor a custom interface.

IQVIA collaborated with the customer’s infrastructure and data science teams to deploy the NLP Data Factory, train users, and enable self-service pipeline creation while providing white‑glove support. The customer processed more than eight million records per hour, now feeds IQVIA output into over 85 data science models, migrated the platform from Oracle to Snowflake, realized faster insights (hours versus weeks), reduced data costs, and benefited from 24/7 IQVIA support with four‑hour ticket responses and three years of sustained efficiency gains.