As mentioned previously it is important to get business information in to the CMIS to enable us to perform some correlations.
As in the example below we have taken business data and taken component data and we can now report on this together to see if there is some kind of correlation.
As in the example below we have taken business data and taken component data and we can now report on this together to see if there is some kind of correlation.
Business Transactions vs. CPU Utilization
In this example we can see that the number of customer transactions(shown in dark blue) reasonably correlates with the amount of CPU utilization.
Can we make some kind of judgment based on just what we see here? Do we need to perform some further statistical analysis on this data? What is the correlation co-efficiency for our application data against the CPU utilization?
Closer to the value of 1 indicates that there is a very close correlation between the application data and the underlying component data.
What can we do with this information back to the business? An example would be: This graph indicates that there is a very close correlation between the number of customer transactions and the CPU utilization. Therefore, if we plan on increasing the number of customer transactions in the future we are likely to need to do a CPU upgrade to cope with that demand.
On Wednesday I'll be looking at a Modeling scenario.
Charles Johnson
Principal Consultant
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