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Updated version of the Coursera course "Process Mining Data Science in Action"

A new version of the free Coursera course “Process Mining: Data Science in Action” will start on November 28th 2016. The course is highly relevant for anyone that wants to improve his/her analytical skills. The focus is on data science methods applied to event data, e.g., for BPM, CRM, ERP, CEP, and (Lean) Six Sigma. A data scientist without Process Mining training is ill-equipped to uncover the organization’s real processes, analyze compliance, diagnose bottlenecks and improve processes. The next generation of process analysts, managers and auditors will depend on this new technology!

Over 100.000 people have registered for earlier versions of the course in the last two years. Many participants of the “Process Mining: Data Science in Action” course got “hooked to the magic of analyzing event data”. Participants that completed the course learned to automatically discover real processes, check conformance, and analyze performance. Also the new course provides access to software and real-life data sets. Hence, there are many good reasons to join this new Process Mining course.

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Press release: Winners of the BPI Challenge 2016

Since 2011, the IEEE Task Force on process mining organizes a yearly Business Process Intelligence Challenge, or BPI Challenge. The goal of this challenge is to bring together practitioners and researchers in the field to show the direct impact of academic work when facing the challenges real-life cases bring. For the BPI challenge, we provide participants with a real-life event log, and we ask them to analyze these data using whatever techniques available, focusing on one or more of the process owner's questions or proving other unique insights into the process captured in the event log.

For 2016, the data was provided by UWV (Employee Insurance Agency), a Dutch autonomous administrative authority (ZBO) which is commissioned by the Ministry of Social Affairs and Employment (SZW) to implement employee insurances and provide labor market and data services in the Netherlands. The data in this collection pertains to customer contacts over a period of 8 months and UWV is looking for insights into their customers' journeys. The data is focused on customers in the WW (unemployment benefits) process. The full dataset is available from

This year’s challenge was sponsored by GRADIENT ECM. They not only provided free Minit licenses for participants, but they also allowed for two selected winners to come to Rio de Janeiro to present their work at the 12th international BPI Workshop held there and to receive the award during the dinner of the International Conference on Business Process Management.

We received several submissions from all over the world, both from academia and from industry. The jury was pleased with the high quality of the contributions in general, but in the end, two submissions were selected as the best one to present their work in Rio:

  • Ube van der Ham, with his submission entitled “Marking up the right tree: understanding the customer process at UWV”, showing that by manually inspecting the data and using relatively standard data analysis tools many insights can be obtained, and
  • Sharam Dadashnia, Tim Niesen, Philip Hake, Peter Fettke, Nijat Mehdiyev and Joerg Evermann, with their submission entitled: “Identification of Distinct Usage Patterns and Prediction of Customer Behavior” showing an innovative technique to predict the next action undertaken by users on the basis of the preceding ten tasks.

Representatives of both submissions came to Rio and presented their analysis to the BPI audience. Their presentations were well-received and showed true professional value and direct applicability of academic research in the field of business process intelligence.

The BPI Challenge 2016 held in Rio de Janeiro Brazil was a great success and the organizers of the challenge are looking forward to next year’s event and we encourage everybody to participate!

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Version D03 of the XES Standard Proposal has been approved by the IEEE-SA Standards Board


NEW P1849 (CIS/SC) IEEE Draft Standard for XES - eXtensible Event Stream - For Achieving Interoperability in Event Logs and Event Streams

was approved as a new standard by the IEEE-SA Standards Board on 22 September 2016. A copy of the document will be forwarded to the Standards Publications Department. The editor assigned to work on the project will contact the XES WG.

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