Case Study: Ohio Mutual Insurance Group achieves faster, more accurate, one-analyst ratemaking with SAS BI for Midsize Business

Ohio Mutual powers its ratemaking with SAS® BI for Midsize Business

Ohio Mutual Insurance Group, a mid-sized carrier writing nearly $190 million in premiums across seven states, faced time-consuming, manual ratemaking processes, siloed data and limited staff. Ratemaking requires compiling millions of detailed records, pairing loss files to policies and constructing development triangles—tasks that previously demanded large teams and rigid tools but needed to be done quickly and accurately to set profitable rates.

By running SAS Business Intelligence for Midsize Business and SAS Enterprise Guide against its DB2 mainframe, a single analyst can now clean and compile data, build loss triangles, run GLM forecasting (GENMOD) and export results to Excel for underwriters. The result is faster, more granular and higher‑quality ratemaking—greater accuracy by several percentage points, quicker information delivery and more efficient decision making without a large analytics staff.

Ohio Mutual Insurance Group

Bob Roesch

Actuary