RPA provides a way to get high-volume tasks performed fast and without errors. However, RPA often fails due to automating bad processes. With Process Mining, you can optimize your processes and increase the ROI of RPA by 44 %: streamline processes, identify issues, see what to automate next, and monitor process conformance.
In this webinar you will:
How could you improve process efficiency with robotics without any knowledge about the current state of your processes and day-to-day operations?
Process mining not only brings you these insights, but with QPR
ProcessAnalyzer, you'll instantly spot process bottlenecks, compliance violations, and root causes of problems. This makes decision-making easier: communicate your automation progress to any stakeholders and make better, fact-based decisions.
With process mining, you'll improve your automation success tremendously. You can easily identify the best processes to automate and view the estimated ROI of implementing RPA in a specific process. Moreover, you'll get a quick overview of your automation progress within the end-to-end processes and continuously monitor the performance of your bots.
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.
From our experience, based on working with large organizations worldwide, most RPA failures stem from initially choosing the "wrong" process to automate:
Process mining identifies where you should be implementing your software "bots": QPR ProcessAnalyzer shows you the current state of your processes and calculates a variety of automation-related rates.
Ready-made Robotic Process Automation charts speed up any RPA initiative. You can easily customize these by adding your own dimensions, selections and what-if scenario capabilities. View for instance:
Hear our customer explain what happened when they tried to automate manual tasks without having full insight into their processes.