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Process Mining Transformations — Part 1: Unfold Loops for Cases

Ideally, your data is in perfect shape and you can immediately use it for your process mining analysis without any changes. Unfortunately, there are many situations, where this is not the case and you actually need to prepare your data set a little bit to be able to answer your analysis questions.

In this series, we will be looking at typical process mining data transformation tasks. Via step-by-step instructions, we will show you exactly how you can accomplish these data preparation steps for your own data:

Part 1: Unfold Loops for Cases (this article)
Part 2: To be continued…

Unfold Loops for Cases

If you have a ‘loop’ in your process then this means that a certain process step is performed more than once. Loops are often interesting for a process mining analyst, because they help to spot rework and inefficiencies in the process (see our article on how to identify rework in process mining here).

But sometimes, loops can also get in the way of answering your process mining questions. For example, imagine a process, where a tool such as a heavy-duty power drill can be rented for specialized construction work. To trace the movement of the tools, a barcode has been attached to each drill. The barcode provides a unique identifier for each tool and serves as our process mining case ID.

In addition, the following status changes are tracked with a timestamp for each tool: ‘Pickup’ (a tool is picked up by a customer),

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