13 Feb Deployment of Robotic Process Automation (RPA) supported by Process Mining
- Are you going to deploy RPA into your organization?
- Looking for a plan for implementing RPA?
- How do you ensure RPA deployment is successful?
- How do you classify the right Automation processes?
Robotic process automation (RPA) involves the automation of highly repeatable tasks. This technique tends to operate on the front-end of the program opposed to workflow automation, eliminating the need for complicated workflows and coding.
RPA can bring significant business profits to an organization, but it can become adversely expensive if applied without sufficient knowledge of the business processes. Inadequate knowledge of the process’s phases, sub-phases and deviations contribute to time and efforts being wasted. Furthermore, realizing the business processes using common methods, such as seminars and operation modeling, can also be costly efforts.
Process mining is the ideal tool for your RPA implementation efforts and to gain the necessary information:
- Develop an insight of differences and anomalies in process as-is
- For automation, choose the most favorable subprocess
- Ramping up RPA, and continuing successful deployment of RPA
- Define the RPA gains by doing a complete analysis of the process before and after the RPA deployment
4 Steps to successful RPA deployment
- Comprehending processes, anomalies, and deviations
- Align processes
- Deploy RPA
- Follow-up process/compliance process
Advantages of RPA deployment with the support of Process Mining
Effective profit savings, increases in safety and quality, with the following statistics:
Implementing RPA and process optimization within an enterprise can be a costly expenditure, process mining helps to prevent extra costs of automating unmetered processes and reprogramming the robots.
Using process mining to refine process automation and robotics, the RPA deployment method will reduce by half, project risk will decrease by 60%, and value to the business will increase by 40%.