Getting the data is often one of the first challenges you have at the beginning of your process mining project. Rudi and Anne answer the most frequent questions around process mining data. We also show you two common data transformations based on a practical example: One for merging two data sets and one for transposing a data set from columns to rows.

Jan and Muthu have applied process mining to their quality management processes. On top of that, they have also extended their analyses with the so-called process capability index (Cpk). We show, based on a concrete process mining example, how this works. And you can even try the approach yourself by using their Excel template.

Magy gives an overview of the different types of games and traditional game analytics. We look at examples, where her group has used process mining to understand the flow of games. We also talk about the ethics of using game analytics to make games more addictive and discuss the challenge of abstracting the data to the right level.

Process mining does not replace the traditional audit approach. However, it requires some changes and a conscious effort to fit process mining into the existing way of working. In some places, more work is needed. In other places, things get easier. Together with Jasmine and Andreas, we talk about their data-driven audit approach with process mining step by step.

How exactly are people performing their analyses? Are they first exploring or immediately answering questions? And how do they deal with new questions that come up in the process? Pnina Soffer, Barbara Weber and Francesca Zerbato share their experiences from this new sub-field in the process mining research area.

Garbage in, garbage out! Data quality is essential for any data analysis technique. If you base your analysis on data, you must ensure that the data is correct. Otherwise, your results will be wrong. With Kanika Goel and Niels Martin, we talk about the specific data quality problems you encounter in process mining projects.

Project-driven organizations like construction companies approach everything from a project perspective. However, process improvement initiatives require process awareness. How do you deal with this as a process mining practitioner? We speak with Fred van Middendorp about project vs. process thinking.

What if you had twice as many people? What if you didn't do that process step? Simulation allows you to test complex “what if”-scenarios without having to make the change in the real world (yet). But it's not easy! Together with Lambros Viennas and Sudhendu Rai we show how you can use process mining as a starting point for your simulation model.

Process mining may not be the right tool for fraud detection. However, it can help us understand what happened after an attack, for example, by visualizing the intruder's path. Lucas Vousten and Vincenzo Salden talk about how process mining can help IT security and dive into a concrete forensics example based on a ransomware attack.

The Lean Six Sigma methodology provides a practical and customer value-focused framework for making improvements. Rudi and Anne talk about how process mining fits into Lean and Six Sigma, based on a concrete example. We also discuss where process mining changes the traditional Lean Six Sigma approach.