Traditionally, the Business Process Intelligence workshop has been the largest workshop at the conference. Over the years, the workshop grew and included the BPI Challenge, the Process Discovery contest and the IEEE Task force meeting. That combined with the large number of people in the audience, the organizers this year proposed a two day event for the 13th edition of the BPI workshop.
The workshop, sponsored by Siav, is aiming to attract the same high-quality papers as previous years, with sufficient space and time for the researchers to present their findings to a focused audience. The paper presentations will be alternated by presentations of the winners of the BPI Challenge and the PD contest. On Sunday evening, a BPI-reception will be hosted for the participants and the workshop closes with the annual meeting of the IEEE Task force on process mining.
The BPI Challenge, sponsored by Celonis and Minit, has become a tradition for the workshop, as well as the conference participants. The public real-life datasets made available through this challenge are used in many papers and serve as a validation baseline. One of the most successful datasets was the 2012 dataset from a Dutch financial institute and this year, we have found the same company willing to share data of the same process, five years later. The data is richer than before, the process has grown in intensity and while the supporting system was replaced, the process is largely comparable.
The Process Discovery contest, sponsored by Cognitive Technology, is dedicated to the assessment of tools and techniques that discover business process models from event logs. The objective is to compare the efficiency of techniques to discover process models. Com-pared with last year, this year the competition will not only consider the ability of discovering process models balancing “overfitting” and “underfitting”, but also the capacity of mining models that provide business value to stakeholders.
We hope to see many of you at the BPI Workshop in Barcelona. The workshop is included in the regular workshop participation fee and more information is available on http://www.win.tue.nl/bpi/
Boudewijn van Dongen, Andrea Burattin, Jan Claes, and Jochen De Weerdt
Chairs of BPI 2017
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.
|Register via http://www.coursera.org/learn/procmin/|
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 https://data.4tu.nl/repository/uuid:360795c8-1dd6-4a5b-a443-185001076eab.
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:
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!