based information processing requires a
large staff to organize, file, retrieve, read
and re-format/reproduce that information. Digital data eliminates much of
this need. The first wave of Internet
adoption by insurers produced many
empty cubicles in new business groups
as applications arrived electronically,
and were routed straight into underwriter workflows.
Assumption No. 5: The ability to discern the
patterns in large masses of data requires years of
specialized training. While this is still true,
the analytical tools now available change
the nature of this kind of analysis.
Insurers should take advantage of these
tools as force multipliers of their most
insightful analysts, and also to explore
the opportunities of looking at risk factors that they may not have previously
considered.
Insurer operating models were not
carved on stone tablets. They were developed in response to the limits of the
available information technology at the
time.
Insurers should periodically ask
themselves not just how they can do
their current tasks better, faster and
cheaper, but why they do them at all,
and whether those reasons are still valid
given the current state of information
technology. They may well be, but not
asking the questions ensures that insurers will miss opportunities to change
the game in their favor. INN
Matthew Josefowicz is director of the insurance
practice at Novarica, New York. He can be reached
at mj@novarica.com.
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