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The advantage that an RPA solution has when collating isolated and dysfunctional data, is that it follows several set rules when doing so. This means that what is collected will be more structured and uniform, and therefore, more useful to those wishing to use it.
Creating ‘good data’ or ‘clean data’ i.e. structured and clearly organised data, is also something RPA excels at. Digitising data collection removes many of the human complacencies that contribute to ‘bad’ data. Another strength of RPA is the fact that it is constrained by a set of pre-defined rules.
Robotic Process Automation (RPA) is already being applied to data by companies across the globe. While RPA can be used to digitise repetitive processes it can also be used to sift through large amounts of data in order to identify relevant information for human controllers.