Wil van der Aalst at Process Mining Camp 2020

Process Mining Camp 2020

The last speaker at Process Mining Camp 2020 was Wil van der Aalst from RWTH Aachen in Germany.

Object-Centric Process Mining

Wil van der Aalst gave the closing keynote at camp. He dove into one specific challenge that is particularly relevant for production processes and ERP processes: Multiple business objects (for example, a purchase order, delivery, and invoice) can be part of the same case. However, to look at the end-to-end process the data needs to be “flattened” and interpreted from one particular case perspective.

Wil showed new research that enables the discovery algorithm to handle events that refer to multiple objects such as customers, suppliers, employees, orders, products, machines, etc., at the same time. In a lively discussion, the campers discussed the trade-offs of this new approach with respect to the flexibility and understandability of the new models.

Watch the video of Wil’s presentation to find out what object-centric process mining is all about!

Freo at Process Mining Camp 2020

Process Mining Camp 2020

The seventh speakers at Process Mining Camp 2020 were Harm Hoebergen and Redmar Draaisma from Freo in the Netherlands.

Combining Operational Management with Process Mining

Freo, part of Rabobank, has been an online lending specialist for more than 10 years. Delivering a simple and clear lending experience is one of their goals.

Harm Hoebergen is COO and Redmar Draaisma is a data analyst at Freo. The loan and credit process is changing quickly and there are more and more opportunities to deliver faster in a multi-channel environment. While the experience for the customer is changing, it is important to keep delivering as promised and make sure that the internal risks are in control.

Operational management is great to manage the day-to-day business, but it does not give a good insight into process improvement opportunities. Therefore, Harm and Redmar combine their operational management dashboards with process mining, which immediately makes the bottlenecks in their process explicitly visible. This visibility helps to create a sense of urgency to resolve them.

Watch the video of Harm’s and Redmar’s presentation to see how process mining and operational monitoring complement each other.

Process Mining Café, Part Deux

Process Mining Café Part Deux

The last Process Mining Café was great, so here we go again! To join us, simply tune in at fluxicon.com/cafe on Wednesday 16 December, at 16:00 CET (no registration required). On this site, you can watch our café session live stream, and talk with us and other process mining nerds in our very special café chatroom.

Dropping Science with Hajo Reijers

This time, Hajo Reijers joins us for an update on what has been going on in ye olde ivory tower. We spoke with Hajo more than ten years ago in 2010 about his views on process mining, and we think it’s high time for catching up. Hajo is now a Full Professor for Business Process Management & Analytics at Utrecht University and we are curious to hear what he has been working on with his team.

Hajo Reijers

Hajo joins us to look at the year from a process mining research perspective. We will discuss what is new, and what current developments in process mining research and practice we find most interesting.

Join us!

Tune in live at fluxicon.com/cafe on Wednesday 16 December at 16:00 CET (check your own timezone here) to watch our stream, and to give us your thoughts and questions while we are on the air.

Can’t wait? To pass the time, why don’t you:

Alright then — It’s time to go grind some beans and bake some last cookies. See you all in the Process Mining Café next week!

Oak Ridge National Laboratory at Process Mining Camp 2020

Process Mining Camp 2020

The sixth speaker at Process Mining Camp 2020 was Hilda B. Klasky from Oak Ridge National Laboratory in the United States.

Feature Engineering for Process Mining on Electronic Health Record Systems

Oak Ridge National Laboratory (ORNL) is a leading science and technology laboratory under the direction of the Department of Energy.

Hilda Klasky is part of the R&D Staff of the Systems Modeling Group in the Computational Sciences & Engineering Division at ORNL. To prepare the data of the radiology process from the Veterans Affairs Corporate Data Warehouse for her process mining analysis, Hilda had to condense and pre-process the data in various ways. Step by step she shows the strategies that have worked for her to simplify the data to the level that was required to be able to analyze the process with domain experts.

Watch the video of Hilda’s presentation to see an example of how you can first simplify and then analyze a complex healthcare process with process mining.

Disco 2.9

Software Update

We are happy to announce that we have just released Disco 2.9.

We recommend that you update at your earliest convenience. Like every release of Disco, this update fixes a number of bugs and improves the general performance and stability.

Thank you for using Disco, and for continuing to send us your feedback. Any software can only be as good as their community, and you folks are just the best!


In this release, we have overhauled almost all the ways in which data can enter and exit Disco, starting with improved import error feedback. When Disco encountered a problem during importing your data, it used to tell you about it. And not much more.

Import problem dialog

This mysterious aura ends with Disco 2.9, and with our brand new import feedback dialog. Now, you get a detailed report about all issues that Disco encountered in loading your data, complete with full description and precise line numbers in your imported file. A small step for mankind, but a huge leap for all of us trying to debug our data problems.

This precision and detail is powered by our all-new CSV parser. Not only can it give a great error report, but it is also more precise, can handle a wider array of import data, and further improves on Disco’s already legendary CSV import performance.

For all of you working with XES-formatted data, Disco 2.9 will be a welcome update. We have thoroughly revised the XES import and export code, making sure that what Disco does more closely resembles what you would expect it to. In almost every situation. Even for some really messy and broken data.

Happy to connect

One of the defining strengths of Disco is that all your data stays on your computer, no matter what – clouds are for rain and snow. However, that does not mean that Disco is a shut-in.

In 2.9, we have done some work on our network communication layer, further improving on its performance and stability. If you need to connect to the internet via a proxy server, this should now work more reliably. You will notice this especially when using Disco over an Airlift connection, but also submitting feedback and updating your license will now work even more smoothly.

How to update

Disco will automatically download and install this update the next time you run it, if you are connected to the internet.

If you prefer to install this update of Disco manually, you can download and run the updated installer packages from fluxicon.com/disco/download


  • CSV Import:
    • New CSV parser for improved accuracy, better performance, and detailed error reporting.
    • Stricter and more accurate timestamp parser.
    • Added detailed error reporting for data import problems.
    • Improved file charset auto-detection.
  • Airlift:
    • Improved performance and stability.
    • Improved user experience.
  • XES Import:
    • Improved resilience and fidelity of import.
    • Added detailed error reporting for data import problems.
    • Addressed an issue with loading some logs without resource classifier.
    • Ensure standards compliance of data mapping.
    • Added strict compliance import mode.
  • Excel import:
    • Fixed a bug that prevented some Excel files from being loaded.
  • MXML Import:
    • Added detailed error reporting for data import problems.
  • XES Export:
    • Increased encoding efficiency and specificity.
    • Ensure standards compliance.
    • Preserve lifecycle information on export.
    • Improved performance.
  • CSV Export:
    • Changed format of exported timestamps.
  • Control Center:
    • Added preferences.
  • UI:
    • Proper date formatting for US locale.
    • Improved dialog layout and rendering on Windows.
    • Improved import issue feedback.
    • Improved error dialog.
    • Improved feedback flow.
  • Connection:
    • Increased security and reliability.
    • Improved proxy connection support.
  • User Feedback:
    • Increased reliability of sending feedback.
  • Platform:
    • Improved XML serialization performance.
    • Java update.