Finding your way to your business case as a process miner is a bit of a chicken-and-egg problem: You first have to do the analysis to determine the improvement potential. Rudi and Anne recommend keeping it simple, and Miguel shares how they increased revenue by 6 million Pesos (350,000 USD) without hiring additional people.

Andrea and Daniel discover process flows for the bus lines in Montevideo using open data from the city. They then export the XML process maps from Disco to display the discovered processes in the spatial city map. We discuss their project and Andrea and Daniel give you all the information that you need to reproduce their steps.

There is a lot of variability in Human Resources (HR) processes. This is only natural as people are different! And there is different legislation in different countries, different types of benefits, etc. We show two approaches for dealing with this complexity: One bottom-up approach and one top-down approach using the APQC standard process framework.

Hugo walks us through the analysis of the complaints process at the Dutch health insurance provider VGZ. As the data analyst, Hugo could use process mining to bring a fact-based view of the process to the subject matter experts. But he also needed to protect them from jumping to conclusions too early when the data was not good enough yet.

In Activity-Based Costing, indirect costs such as salaries and utilities are tied back to products and services. If you combine Activity-Based Costing with with process mining, then you can allocate costs to activities in your processes and evaluate “buckets of cases” according to their costs for the organization. Willem and Anne show how this works based on a concrete example.

What do you do if you want to do process mining but you don’t have any data? Tobias found an elegant solution: He created a system that allows employees to collect data about process executions in a lightweight and system-independent way. One advantage is that this internal system has privacy considerations built-in.

The data you find in information systems was not created for process mining purposes. So, often, you need to shape the data to make it suitable. Furthermore, different analysis questions may require particular views on the data. Together with Scott, we look at two concrete examples to illustrate the steps in such transformations.

Rudi and Anne talk about what it takes to make a good project plan. We first discuss the criteria for selecting a process for your process mining initiative and then go through the five ingredients of your project plan. Rather than just a big, scary document, the project plan is there for you and helps you manage the risks and communication points in the team.

If you are creative, you can find process mining data in unexpected places. Nuno shows us how he turned static data from an agricultural government funding program into a process view. After creating timestamps and activities from implicit information, he could analyze how farmers requested more or less aid over the years in the context of the development of their farms.

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.

Organizational change is hard. As a process miner, you run into this challenge as soon as you have identified potential improvements and need to implement them. How do you get people on board? And how do you get them to stick with you in the new way? We talked with Sebastiaan van Rijsbergen and Roger Schmid about the strategies that have worked for them.

Stefanie Rinderle-Ma showed us how their open source process engine steers production processes. A nice side-effect of their system is that it collects data that can be used for process mining again! We also talked about the power of domain knowledge, how process mining can leverage sensor data, and realistic expectations for automation.

When you analyze a data set with process mining, you take a process perspective on your data. This perspective is determined by what you choose as the case ID, activity name, and timestamp during the import step. Marco Montali talks with us about the various process mining perspectives and their ontology-based data extraction approach.

Process miners need to be aware of their responsibility, both around the data and in how they present their analysis results. Together with Dirk Fahland and Felix Mannhardt we share many practical tips that you can start implementing today. We also discuss new research in the area of responsible data science.

There is often a divide between the strategy and the execution world in process mining. The people who are dealing with strategy are different from the people who are executing. Bogdan Ciungu joined us to discuss how organizations can bridge this divide. We talk about use cases, RFIs, and we show a concrete example for a business case.