Premium, claims, underwriting funnel, and loss ratios
Industry
Personal-lines property and casualty insurance analytics
Lines of business
3 (Personal Auto, Homeowners, Personal Umbrella)
Footprint
28 states across four regions
In-force book
grows from about 75K to about 87K policies in force across the two-year window
Premium scale
about $266M earned and $256M written premium over the two-year window
Profitability
about a 63% loss ratio and a 96% combined ratio
Claims scale
about 11K claims over the window
Dataset scope
16 Professional-tier tables
Hollomere Insurance is a fictional mid-market property and casualty carrier created for synthetic BI demos and training; it represents no real insurer, agency network, policyholder base, claim history, or rating system. The kit presents a believable personal-lines carrier where BI builders move from headline premium and loss-ratio trends into line and state profitability, the quote-to-bind funnel, claims frequency and severity by peril, claim development, and the monthly in-force book. It is built for actuarial, underwriting, pricing, claims, and distribution teams rather than as a policy-administration or statutory system of record.
These are the operating questions this kit is optimized to answer first.
Connect earned premium, incurred losses, expense, loss ratio, and combined ratio by line and state.
Follow quotes through bind outcomes to bound premium by channel and agency, and find where quotes leak.
Follow losses by peril into a long-tailed severity distribution, then into claim development.
Track the growing monthly book by line and state, and compare retention across household segments and tenure bands.
Summary earned premium traces to per-policy detail and incurred losses to the claim transactions.