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Please click here to go directly to: How to Use the Likelihood
Chart; Risk Impact Ratings; or How to Use the Impact Rating Chart.
Risk
Likelihood Ratings
Rating
risks requires an assessment of their frequency of happening. Some risks happen
once in a lifetime; others can happen almost every day. Table 1-UVic
Risk Likelihood Ratings provides broad descriptions to support
likelihood ratings.
TABLE 1-UVic Risk Likelihood Ratings
|
|
|
Very High
5
|
We expect that the risk will occur many
times a month
The risk is already happening |
We fully expect the risk to occur
The risk is already occurring (i.e. it's
an issue) |
High
4
|
We expect that the risk will occur at least
once a year |
We expect that the risk will most probably
occur |
Medium
3
|
We expect that the risk will occur once
in 3 years |
We expect that the risk may occur at some
time and we think it more likely than not |
Low
2
|
We expect that the risk will occur
once in 10 years
|
We expect that the risk may occur at some
time, and we think it less likely than not |
Very Low
1
|
We expect that the risk will occur once
in 50 years
|
We expect that the risk may occur only
in exceptional circumstances but that it is highly doubtful
that it will |
How to use this Likelihood chart:
- We are assessing the likelihood of the risk occurring within
our risk timeframe (Next 12 months)
- If we are assigning likelihood to risks that are more cyclicall
in nature (e.g. an earthquake) then we use the left column.
We may think that an earthquake has a one in ten chance of
happening
during the next year (i.e.-it is likely to occur once every
ten years) and we would rate it as Low
- If we are assigning likelihood to risks that are more one
off occurrences (e.g. failure of an IT implementation project)
then
we would use the right column and choose the rating that
best describes the likelihood given our knowledge. Historically
we
may conclude that major IT projects may have a Medium to
High likelihood of going way over budget, of not meeting deadlines
and/or of achieving poor quality outcomes
- We are initially rating likelihood in the absence of controls
and then we will build in a rating of the controls. When
we identify controls we are grouping them into 3 main groups
(preventative,
detective and reactive). When we are looking at the effect
of controls on our likelihood rating we mainly look at preventative
(and some detective), given that we are assuming that the
risk
has occurred. So we might say that the likelihood of a major
IT project failing is High given the recent history of such
projects
in other institutions but then assess the excellent preventative
controls (e.g. Tender selection processes, Project management)
will reduce the likelihood to Low. If we talk in this manner
we are constantly putting the focus on the controls and particularly
on prevention, which is what is desirable.
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Risk Impact Ratings
Impacts can be described in a number of ways. A risk can have consequences in
terms of:
- Financial
- Human Impact
- Interruption to Business
- Interruption to Teaching
- Interruption to Research
- Harm to the Environment
- Damage to Reputation and Image
Each impact can be rated, in terms of its severity, from VERY
HIGH to VERY LOW.
The risk impact ratings in Table 2-Risk Impact Ratings provides
a summary of each type of risk consequence relevant to the University
as well as their severity ratings.
If more than one impact type applies to a particular risk, then
the highest identified impact rating should be used.
| IMPACTS |
Financial |
Human
|
Interruption
|
Environmental |
Reputation/Image |
| |
|
Injury/
Illness |
Faculty/Staff
Experience |
Business
Interruption |
Interruption
to Teaching |
Interruption
to Research |
|
|
Please click here to see Table 2 - Risk Impact Ratings.
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How to use this Impact Rating Chart:
- We are assessing the Impact of the risk assuming that it has occurred
- Think first about the main types of impacts that would accrue if the
risk did occur then for each of the types selected choose
the example that best equates to what you think the impact would
be. We will then rate the risk impact to the highest of
these choices
- As we go we may choose to augment this table with specific examples
that make it easier for us to rate and also may mean more to
the university proper when we socialize this document
- We are rating to the most probable worse case, which can be tricky
sometimes, but we will work our way through the first examples and settle
into a pattern. The most important thing is consistency
- We are initially rating impacts in the absence of controls and then
we will build in a rating of the controls. When we identify
controls we are grouping them into 3 main groups (preventative,
detective and reactive). When we are looking at the effect
of controls on our impact rating we mainly look at reactive
( and some detective),
given that we are assuming the risk has occurred. So
we might say that a major breach of the privacy act would result
in a Medium Inherent impact ($500,000 fine) but that we have
good reactive controls (e.g. insurance) that would reduce
the net impact to Low or even Very Low. If we talk in this
manner
we are constantly putting focus on the controls, which is
what is desirable.
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