If the data which you put into your model, enterprise-wide or not, is wrong or out
of date, the analysis produced will be wrong or out of date. Your organization will
be steering while blindfolded or looking into the rear-view mirror.
For many risk managers, the pressing issue is not the need for risk management —
this is well understood — nor is it the technical methodology — there
are more algorithms and risk engines on the marketplace than there are banks to
apply them. Risk managers most important need is clean, timely data from which to
Today's regulatory environment requires financial institutions to have a more corporate
overview of their overall positions and exposures. Accuracy and timeliness impacts
a firm's exposure and cash management as well as responding to compliance and regulations.
Determining exposure to a division or a client, counterparty, instrument, or market
sector for example is vitally important.