Please select a page for the Contact Slideout in Theme Options > Header Options

How does RPA benefit from Process Mining?

How does RPA benefit from Process Mining?
April 9, 2019 Franzi

Process Mining perfectly complements and supports Robotic Process Automation! The following blog article will show you how LANA can help you keep an eye on the implementation of RPA.

Process Mining RPA KI AI Lana Enabler Improve

Capturing the as-is state

LANA Process Mining helps to identify the actual status of the processes. Especially in IT-supported processes, it is sometimes very difficult to understand the actual process flow. With the help of “Process Discovery” you can use LANA to identify how your processes run in IT systems and across system boundaries. The processes are enhanced with comprehensive information such as times, countries or other attributes available in the system. This gives you in-depth knowledge of the processes. LANA Process Mining therefore makes it possible to record the initial situation and use it to standardize and harmonize the processes. This creates the basis for efficiently implementing the optimized processes with RPA.

Finding optimization potential

The methods “Conformance Checking” and “Model Enhancement” allow you to detect unwanted deviations in the actual process, such as excessive process times or process loops. In addition, the discovered as-is process can be compared with a target model of the same process. The root cause analysis gives you additional clues to the causes of deviations and compliance violations of the implemented processes. Based on this information, the processes can be analyzed and improved in a target-oriented manner. All these methods make it possible to know and design the process in the best possible way before the implementation of RPA. In this way, the maximum potential of an RPA implementation can be achieved.

Monitor the implementation

But even during and after an RPA project, LANA Process Mining is a useful enhancement. During these phases, LANA provides detailed information, such as the level of automation and standardization of the processes. In addition, key figures recorded before and after the introduction of RPA, such as throughput times, costs and number of variants, can be compared. These comparisons make it easy and transparent to see whether the introduction of RPA is achieving the desired results.

Overall, RPA is a simple automation method that is close to the end user. However, detailed process knowledge is required. LANA Process Mining supports the user in capturing the actual state of the processes by providing detailed information about the process and the process indicators. Process Mining also provides facts to verify and measure the success of an RPA implementation.

Read what RPA is and how it works here.

If you have further questions about Process Mining, please contact us!