Those reports fall into several

(sometimes overlapping) categories

Activities at a glance

we have several dashboards, bound and cancelled trends, retention by program trend

Indicators closer look

retention with the accent on 2 month and 6 month into the life of a policy (!)

premium and loss report variations

book of business on a certain date

Loss Ratio and volume trends by state/program/producer

Loss Ratio true analytics

Loss Ratio in depth analysis by MVR state, driver class, household factor (we designed one)

Customer relations strategy analysis

leaked equity analysis by program/time trend

Producer deep analysis

Many segments (e.g. non-standard) of the Personal Auto market have a key dependency on the independent agents' sales channel.

The quality and reliability of the agencies (producers) varies.

We feel that a penetrating analysis of a producer's various stats can give a feel for a future loss ratio and the overall losses possible.

Also such analysis as

reports about a number of transactions per term per producer

claim tail length

number of claims frequency and severity are important

WP/EP trends are important

negative and leaked equity is important

driver class histogram can be interesting

even a number of endorsements with vehicle deletions can point to a begining of a decline in a neighbourhood

One of our research reports is to compare a syntetic household driver factor we invented with against the Loss Ratio. Why? The way most raters assign drivers to vehicles is highest rated to highest rated notwithstanding the self-entered vehicle use. That means that it is possible that in average half of the cases that assignment is overly conservative which is of course what the carriers want (at least as a conservative approach) But are there household configurations when the difference between the conservative and the average assignments are the most stark and the premium is too conservative and we lose business?

Claims reports

on the claims side we have:

claim triangles

average claim trail and incurred by coverage/program/producer

number of claims,frequency and severity by producer/program trend

worst producers claim freq/severity by coverage,zip

outliers by producer by coverage freq/severity

Reports