From Wikipedia, we get a good introductory explanation of the term 'Data wrangling':
Data munging or data wrangling is loosely the process of manually converting or mapping data from one "raw" form into another format that allows for more convenient consumption of the data with the help of semi-automated tools. This may include further munging, data visualization, data aggregation, training a statistical model, as well as many other potential uses.
As can be seen, it's often important to do changes to data in order to analyze it. That's why DataCleaner bundles a lot of transformational and improvement features which allow the user to not only profile data, but also to reshape it into a form that is fitting.