Alpine Data Labs
2 Case Studies
A Alpine Data Labs Case Study
A $1.5B specialty benefits management provider serving over 70 million insured members and processing 2.5 million patient transactions a month faced slow, IT‑dependent analytics: multi‑month data normalization cycles, inconsistent model deployment, and a need to scale authorization decisions with a lean team. The company needed an end‑to‑end advanced analytics capability—from data blending to production models—that business users could operate without heavy IT involvement.
Alpine Chorus provided a centralized, collaborative platform that lets analysts access disparate data, build and govern predictive models, and export production‑ready models (PMML) for real‑time scoring. The result: model development and deployment that once took months now happens in weeks, a reported 500% process improvement, faster authorization decisions, and scaled adoption of analytics across multiple business units.