RPA is considered the answer to many challenges, providing a way to get high-volume tasks performed fast and without errors. However, you cannot implement RPA without knowing exactly how your business processes work.
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Visualize and analyze your current processes based on real-time information. View automation rates.
Identify the most suitable processes for RPA. Use process insight to streamline processes.
Automate the most profitable processes and keep monitoring and analyzing continuously.
Utilize machine learning that makes predictions about process steps that are going to be late.
Watch our webinar recording to learn how to avoid the most common pitfalls in Robotic Process Automation implementation, and why you should apply process mining when automating!
QPR ProcessAnalyzer gives you the information you need to improve your processes with robotic process automation.
The first step of your RPA initiatives should always be process mining, as it identifies where you should be implementing your software "bots".
QPR ProcessAnalyzer does this by showing you the current state of your processes and calculating automation rates for different processes, units, or areas for example. This reduces the ambiguity caused by making decisions based on a hunch, while an understanding of the deviations causing most of the unnecessary work is formed.
Process mining helps you avoid unnecessary costs of automating tasks that have not been streamlined and having to reprogram your software robotics later on.
RPA can be very costly if implemented without sufficient business process knowledge. The reason for this is that software robotics are programmed to follow certain rules, while processes naturally have extensive variations.
Learning about your business processes through traditional methods, such as workshops and process modeling, can also be lengthy and costly endeavors that will still not provide a description that is accurate enough for your RPA initiatives.
In fact, most RPA initiatives fail when the understanding of overall business processes is insufficient and when you try to automate processes that are in no way suitable for RPA - ones that are complex and have variations that have not been considered. As a recent study by PwC shows, conducting a RPA proof of concept or pilot project often takes 4-6 months instead of the expected 4-6 weeks.
Hear our customer explain what happened when they tried to automate manual tasks without having full insight into their processes.