Case Study: Triad Analytic Solutions achieves improved loss ratios and increased profitability with SAS Business Analytics

Triad Analytic Solutions helps clients perform advanced analytics

Triad Analytic Solutions, led by industry veterans Chris Hardin and Brian Scott, helps small- and mid-sized property & casualty insurers that lack in-house statistical and data-management expertise. These carriers struggle to integrate disparate premium and loss data and apply advanced segmentation and pricing analytics—capabilities now essential to compete. Triad’s challenge was to give them fast, practical access to clean, unified data and the analytic know‑how large carriers use.

Using SAS Business Analytics, Triad integrates multiple databases into consolidated, automated data marts, builds proprietary multivariate pricing models, and trains client staff to maintain the systems. The result: quicker access to actionable pricing, improved loss ratios and profitability (including several-point auto renewal gains that can mean seven-figure top-line improvements), better risk segmentation, lower acquisition and servicing costs, and savings compared with costly third‑party models.

Triad Analytic Solutions

Brian Scott

Managing Partner