One of the nice enhancements in OMEGAMON IMS V4.20 was finally getting Bottleneck Analysis information in the TEP. This is useful for a variety of reasons. Bottleneck Analysis is a key analytic component of the tool, and provides the user with information on where the workload is spending its time, therefore giving you an indication of where you may want to direct your tuning efforts.
Plus, having Bottlenck Analysis data in the TEP, means the data may be used for situation creation. Here is an example of how to create a situation using Bottleneck Analysis data. By creating a situation like this you can look for workloads with high percentile wait times (such as waits for CPU, waits for locks, or waits for other resources), and include that information in the situation logic, making the siutation more meaningful and flexible.