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The
User Interface:
Investigation Example 1
Statistical
Analysis of Voids:
As
an example, consider simple voids.
First, produce a frequency distribution graph showing
the normal frequency of voids within the organization
within a sample time period.
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In
a small number of abnormal cases, the employee
has performed a considerably higher number of
voids. Some of these can be quite innocent,
in which the employee has performed a very small
number of transactions, one of which may be a
void, and some may be instances of fraud.
Let's find out which is which.
The LossPREVENTION system allows us to drill down,
by clicking on a particular element of the graph,
to provide further details of the element.
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In
this case, a particular employee has performed
44 sale transactions, 9 of which were voids, a
suspiciously high number of voids. We can
drill down more to provide further details.
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Now
we see that all of the voids took place on a single
day. Maybe we should investigate further.
By clicking on the date in question, we can obtain
details of any high risk transactions performed
by the employee.
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And
now we see that a single, high-value void occurred,
which is not necessarily an indication of fraud,
but certainly a cause for concern.
Let's see how the transaction fits in with all
others performed by the employee. We do
this by drilling down again.
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We
see that the employee has rung up a sale of
$318.26 at 10:47 am and approximately 2 hours
later a ‘void before total’ transaction
for the same amount was done at 12:43 pm.
You now have enough information to decide whether
to pursue a more in depth investigation, perhaps
monitoring future activities of the employee,
or merely call the Store Manager for an explanation.
Using
the LossPREVENTION application it would have
taken you just a few minutes to obtain this
information - about as long as it has taken
you to read the last few pages.
Imagine how long it would have taken without
it.
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Next:
The User Interface: Investigation Example 2
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