Optimization of system performance is essential to any organization dealing with growing application needs and limited resources.
Workstation users have specific needs for their workflows that demand maximum performance and reliability so they can remain focused on being creative. However, on any workstation, certain sub-systems may be over-utilized or under-utilized based on the activities being performed. This scenario typically results in loss of user productivity due to decreased system performance, software maintenance downtimes, and possible lack of system stability.
Even if experienced users were ready to fine-tune the system configuration for optimized performance, they face difficulties due to the complexity and number of tools they need to gather the data they require in order to make an informed decision. Further, doing it manually takes time and reduces productivity.