For example, the picture shows an example of how OMEGAMON IMS Bottleneck Analysis data is shown for transactions and programs related to the users ATM application. This means that when there is an issue with the ATM application, the user is able to determine the source of the potential bottleneck more quickly and precisely.
Definition of groups is driven by macro mechanisms, such as KOIGBLxx in OMEGAMON IMS, or may be specified in real time using OMEGAMON commands for 'on the fly' analysis.
The recommendation is to take advantage of this feature of the product to add more application relevance to the performance data. Many users simply do not exploit this feature.