<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=390134628368750&amp;ev=PageView&amp;noscript=1">

Robotic Process Automation (RPA) deployment enabled by Process Mining

  • Are you planning for RPA deployment in your organization?
  • Are you looking for an RPA implementation roadmap?
  • How do you ensure the success of RPA deployment?
  • How do you identify the right processes for automation?

Robotic Process Automation (RPA) is about automating repeatable high-volume tasks. Compared to workflow automation, this approach aims to work on the front-end of software, removing the need for cumbersome integrations and scripting.

RPA can bring about substantial business benefits to a company, but it can also be very costly if implemented without sufficient business process knowledge. Insufficient understanding of the steps, substeps, and variations in your processes leads to loss of time and resources. Consequently, finding out about your business processes through traditional methods, such as workshops and process modeling, can also be lengthy and costly endeavors. 

For gaining the needed information, process mining is the perfect tool for your RPA deployment efforts:

  • Gain an understanding of as-is process variations and deviations.
  • Choose the most beneficial subprocess for automation.
  • Scale up RPA and continue RPA deployment success.
  • Prove the RPA benefits by conducting a full as-is process analysis before and after the RPA deployment.

QPR's 4 Steps to RPA Deployment Success

  1. Understand processes, deviations, and variations
  2. Harmonize processes
  3. RPA deployment
  4. Process follow-up / process compliance

Read more in our blog posts: RPA Success with Process Mining in 4 Steps

QPRProcessAnalyzer_manual_automatedMonitor your organizations' automation progress with QPR ProcessAnalyzer's ChartView by creating a visualization of the events automated vs. manual.

Benefits of Using Process Mining to Support RPA Deployment

Significant cost savings, efficiency, and quality improvements with the following statistics:


Adopting RPA and process automation in an organization can be an expensive investment, process mining helps to avoid unnecessary costs of automating unstreamlined processes and having to reprogram the robots.

By using process mining to optimize the adoption of process automation and robotics, the RPA deployment process shortens by half, project risk is reduced by 60%, and business value is increased by 40%.

Use process mining throughout your RPA journey