Process mining is the art and science of discovering, understanding, and improving how an organization works by identifying variations of processes through analyzing event log data and associating them with how a business process is performed.
Applying process mining techniques, such as process discovery, reveals how an organization truly works. Process mining algorithms diligently analyze the IT systems, digging into real event logs, and pairing them with the associated processes; along the way revealing all modifications and deviations to the ideal process flow.
The discovery through process mining helps a transformation team decide whether or not a process has the potential for optimization. If there are activities and tasks associated with a process that can and should be avoided, accelerated, or improved, that process becomes an ideal candidate for a task team review, which may decide that it should be optimized or automatized.
Therefore, process mining is a critical step in improving the agility of any organization.
Let’s take a look at how other organizations define process mining:
According to Fluxicon, a Netherlands based start-up focused on process mining, “Process mining is still relatively young, especially compared to other data analysis technologies like statistics or data mining, which have been around for several decades.”
According to Celonis, a process mining start-up based in Germany, process mining is “an analytical discipline for discovering, monitoring, and improving real processes (i.e., not assumed processes) by extracting knowledge from event logs readily available in today’s information systems.”
Minit, a Slovakian software company, defines process mining as “an innovative analytical approach that analyzes data from IT systems to gain objective insights and uncover hidden problems.”
According to QPR, a Finland based firm providing solutions for strategy execution, performance and process management, process mining, and enterprise architecture, “business process mining is a combination of business process management and data mining. We take the data that exists in the information systems of a company and use that to visualize the real-life execution of the company’s processes.”
Finally, Gartner considers process mining as a subset of hyperautomation.
Regardless of how you define process mining, it is critical for any digital transformation (please read our detailed article addressing the role of process mining in digital transformations here) and should be among the few analytical tools in every transformation leaders’ arsenal.
Please contact us to discuss how we might help you to adopt process mining as a new capability into your transformation.