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 Monday.
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