Process Mining Perspectives

39:06Recorded on 18 June 2014 at TU Eindhoven

Wil van der Aalst(TU Eindhoven, Netherlands)

Marc Kerremans(Gartner, Belgium)

Neil Ward-Dutton(MWD Advisors, UK)

Frank van Geffen(Rabobank, Netherlands)

Nicholas Hartman(CKM Advisors, USA)

Christian Günther(Fluxicon, Netherlands)

A panel discussion about the state of process mining, and the process analytics market. Where are we in 2014, and what can we do to move the needle towards a wider adoption and use of process mining.


The closing panel discussion brought together different process mining perspectives. Wil van der Aalst (representing academia) was joined by Frank van Geffen (representing industry), Nicholas Hartman (representing consultancies), Christian Günther from Fluxicon, and two industry analysts, Marc Kerremans from Gartner and Neil Ward-Dutton from MWD Advisors in the UK.

The discussion was very lively and followed up on a number of themes that were brought up earlier throughout the day.

One of the themes was around adoption. While Marc Kerremans said that process mining was quickly climbing the Gartner hype cycle, Neil Ward-Dutton disagreed and insisted that we are much earlier in the adoption curve than that.

This was also discussed in the context of maturity: 90% of the business people use pen, paper, Powerpoint, and Visio for process improvement. Process mining can provide huge benefits here also without combining it with other tools like data mining.

Wil van der Aalst suggested that today's business analysts need to become more nerdy to use new technologies. Furthermore, Frank van Geffen made the point that organizations need to create the space for innovation. They need to allow people to experiment with new techniques like process mining to be able to eventually roll them out broadly and productively as done at the Rabobank.

Finally, it was also discussed that once one is using data-driven analysis techniques like process mining, one needs to ensure that data and analysis results are used responsively and in accordance with the rules and ethics of the society and the company.

More from Process Mining Camp 2014

Customer Journey Mining at ING DIRECT Australia

John Müller (ING)

As a data scientist during a project at ING in Australia, John struggled with finding the right kind of visualization that he could show to the business user. He discovered that process mining was the perfect tool for the job.

Monitoring Outsourced Processes

Oliver Wildenstein (MLP)

Many companies have outsourced processes, but are these processes really meeting the performance criteria that are in the contract? Without process mining, one has to believe the self-reports from the provider.

Process Mining in IT Service Management

Nicholas Hartman (CKM Advisors)

Typical management reporting is not actionable, because it is heavily averaged and the granularity is limited by pre-determined categories. Nick shows based on two IT Service Management examples how process mining helps to find the actual problem areas.

Process Mining and Official Statistics

Johan Lammers (CBS)

Official statistics are made via processes. To produce statistics of good quality, and as cost-efficiently as possible, process improvement and process mining can be used. Johan shows concrete results from analyzing the labor force survey process.

The Benefits of Process Mining in Auditing

Erik Davelaar (KPMG)

Process mining provides clear benefits – both for auditors and for the auditees. Erik demonstrates this based on three case studies. For example, process mining can help to understand and audit processes that are different in different countries.

Adopting Process Mining at the Rabobank

Frank van Geffen (Rabobank)

Frank shares their impressive journey of adopting process mining worldwide. In one of the projects, an IT service desk process could be improved such that after six months the team had reduced waiting time in aggregate by 72,000 hours.

Towards a Process Scientist

Wil van der Aalst (TU Eindhoven)

Wil talks about how process mining fits in the wider data science spectrum and which research programs will be coming up at the new Data Science Center Eindhoven (DSC/e). At the DSC/e, process mining will be combined with other data science techniques such as data mining and statistics, the internet of things, but also look at human and social aspects.

Explore Process Mining Camp 2014

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