Process Mining Use Cases: Possible Outcomes
Previously, we have looked at who uses process mining and why. Another way to understand the different process mining use cases is to look at the possible outcomes of a process mining analysis.
Process mining allows you to analyze very complex processes. Furthermore, you don’t need to know what the process looks like (just identify the three parameters case ID, activity name, and timestamp) and you can even look at the same process from different perspectives. In turn, process mining is not an automated activity but needs a human analyst to understand the data and interpret the results, and some skills and experience to do it well.
But what exactly could be the outcome of such a process mining analysis?
On a high level, there are four main outcomes of a process mining analysis (see also picture above). For any process mining project, a combination of these outcomes can apply.
1. Answer
Sometimes, the outcome is just an answer. For example, imagine you are the manager of a process and have received complaints that this process is taking too long. There is an internal Service Level Agreement (SLA) and you want to know whether the complaints are justified (and if so, how often it happens that the SLA is not met). Getting an answer to this question is the primary goal of the process mining analysis.
Another example would be a data science team that supports a customer journey project, where the customer…
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