Clusters are very specialized resources for performing certain types of computationally demanding work. More often than not a cluster is the wrong solution for data analysis and not all types of data analysis are even amenable for use with a cluster.
Tasks that require a lot of manual intervention, take modest amounts of time on traditional computers (a few hours, or perhaps a day) or that can't be run in parallel won't benefit from running on a cluster.
However, if a task takes a few hours, and you have 100's or 1000's of that kind of task to do, a cluster may be the best option.
If you still aren't certain, just ask!