are very good at displaying graphical images and manipulating
large sets of data in a database. Combining these two
capabilities results in a Geographic Information System
(GIS). Business data can be combined with geographic
information and quickly manipulated to answer questions
based on geography.
Some typical applications are
· Displaying a map showing all the policy locations
with premium above a specified level
· Displaying a map showing all the locations
of claims over a given amount.
· Producing a report on all policies within five
miles of a particular river
· Determining the best location for a new agency
· Finding rating areas with excessive loss ratios
· Finding all auto policy holders without flood
insurance living in a high-risk flood zone.
GIS Case Study
Suppose a carrier with 50,000 policies wants to determine
how many policy holders are located in an assigned risk
area. If we assume that you had all the maps your application
needed, someone that was familiar with the problem and
could process, on average, one location every 30 seconds
and who could work accurately for eight hours a day,
that person could only process 960 addresses per day.
A portfolio with 50,000 policies would require a bit
more than 52 person days to process.
Using our custom GIS applications, which contains
all the necessary maps and descriptions of the wind
tiers, we could process those same 50,000 policies in
less time than it takes to make coffee in the morning.
Therefore, increasing efficiency through outsourcing