When we’re telling our capacity management story what are
we trying to display?
•
Display
current state of the environment – this is our baseline, a
period or periods which reflect our normal pattern of behavior. You need an
understanding of the business to class a period as ‘normal’ behavior.
•
Display
possible anomalies – this involves looking at periods and
determining whether the peaks in a set period of time are an anomaly or whether
they are just normal user busy periods of the day, explaining peaks in the
data. Has there been some kind of change made that you are aware of? You may
need to perform some root cause analysis to get to the bottom of peaks where
you don’t already have an understanding of what is causing them.
•
Display
forecasts
• Trends – are very useful. You can trend to a
limit, you can trend to a threshold etc but if you wish to get a better degree
of accuracy to your forecasting you may wish to model.
•
Models – analytical modeling can provide you
with a better degree of accuracy when forecasting, especially when it comes to
things like utilizations where you have to take in to consideration the
utilization curve.
Are there different stories for different audiences? I’ll
be dealing with this on Friday.
In the meantime register for our community and get access
to free capacity management white papers, on-demand capacity management webinars
and more
Charles Johnson
Principal Consultant
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