Process Mining and RPA – The Current State

Process Mining and RPA – The Current State

Companies are moving forward to meet their digital transformation goals with
RPA initiatives as their automation accelerator. But, to be successful, they need
to be cautious and fully aware of their operation to assure success.

ABBYY, in its latest report “State of Process Mining and RPA,” has confirmed that the majority of RPA is being implemented widely, and almost a third of respondents have already put it in place. Those in financial sectors are most likely to be leveraging RPA, with nearly 48% already using them, confirmed the report. There is another third ( a further 30%) planning to implement similar technology in the upcoming year.

Even with enterprises currently using or having immediate plans for deploying RPA, most of
their projects are still in the infancy. In fact, 68% are either presently evaluating or developing pilot projects stage. Clearly, a large number of companies interested in using RPOA are already aware of its benefits- almost three-fourths confirmed having a high level of knowledge or a deep understanding of their intended automation processes.

RPA has transitioned from being a mere task automation tool to being utilized to automate
higher-value processes. If budget were not a constraint, one out of every four companies could witness RPA as a helpful tool to improve the customer experience. Following this, about 35% of the respondents in the ABBYY survey thought that RPA could be useful for administrative tasks.
About 33% of organizations are currently using RPA to focus on improving the quality of their processes primarily. This is followed by 23% that vouch for its advantage in reducing operating costs, and 23% say it helps in accelerating processes.

Businesses are implementing process mining technologies in different forms, and most are now seeing it as essential for business success. An abundance of data from both digital and physical sources, as well as human interactions, can lead to many complications in processes, especially when disparate systems are being used. RPA could be an answer to these challenges, leaders think.

Most organizations are leveraging RPA to automate and enhance process efficiency. But
success and failure are totally dependent on an understanding of their process workflows.
During the pandemic, companies are forced to transition non-essential employees to work from home, and the leaders are experiencing the first-hand experience of how their business processes perform during a crisis. This is a priceless learning opportunity.

These survey results demonstrate that leaders need more advanced Process Intelligence tools to take a process-first approach to manage their automation efforts. It also highlights the importance of having complete knowledge of the data living within process automation, in order for the RPA to deliver expected results.