IEEE CIS Task Force on Process Mining

Trace: 20160429_bpic


|

BPIC 16

Call for Participation
6th International Business Process Intelligence Challenge (BPIC 16)
to be held in conjunction with BPI 2016
Rio de Janeiro, Brazil
September 19, 2016

Call for participation

Business Process Intelligence Challenge (BPIC) aims to allow researchers to present the appicability of their BPI research on real-life cases. Each year, a real-life event log is prepared with a number of questions from the companies and you are asked to answer these questions with any technique available to you. This year’s data is provided by UWV. UWV (Employee Insurance Agency) is a Dutch autonomous administrative authority (ZBO) and is commissioned by the Ministry of Social Affairs and Employment (SZW) to implement employee insurances and provide labour 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.

Challenges

In particular, UWV is interested in the way both the site http://www.werk.nl and the Werkmap are used. Any insights into typical usage patterns across the various channels are therefore interesting, but there are some specific questions:

  1. Are there clear distinct usage patterns of the website to be recognized? In particular, insights into the way various customer demographics use the website and the Werkmap pages of the website are of interest.
  2. Do the usage patterns of the website by customers change over time? Do customers visit different pages when they start using the website versus when they have been using the website for some time? How does the usage change over time?
  3. When is there a transition from the website to a more expensive channel, such as sending a Werkmap message, contacting the call center or filing a complaint? Is there a way to predict and possibly prevent these transitions?
  4. Does the behavior of the customers change after they have send a Werkmap message, made a phone call or filed a complaint? Are customers more likely to use these channels again after they have used them for the first time? What is the customer behavior on the site after customers have been in contact through the Werkmap or by phone?
  5. Is there any specific customer behavior that directly leads to complaints?
  6. Finally, we challenge the creative minds, to surprise UWV with new insights on the provided data to help improve the experiences of our customers when using the website.

Just like last year, the challenge is split into two separate challenges. The first challenge is specifically targeting researchers and professionals in the area of business process intelligence, where the second challenge is targeting students (Bachelor, Master and PhD Students).

Prizes

The prize in both competitions is a trophy for the winner. Furthermore, Minit (http://www.minitlabs.com) is kindly sponsoring the flight for a representative of the winner to receive the award in Rio de Janeiro on the workshop day.

Submission guide

]Submissions should be made through EasyChair at https://www.easychair.org/conferences/?conf=bpic2016. A submission should contain a pdf report of at most 30 pages, including figures, using the LNCS/LNBIP format (http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0) specified by Springer (available for both LaTeX and MS Word). Appendices may be included, but should only support the main text.

Important Dates

Abstract submission deadline: Saturday, July 2, 2016
Full version submission deadline: Saturday, July 16, 2016
Workshop day and announcement of winner: Monday, September 19, 2016

Organizers

  • Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands (corresponding organizer)
  • Jan Claes, Ghent University, Belgium
  • Jochen De Weerdt, KU Leuven, Belgium
  • Andrea Burattin, University of Innsbruck, Austria

Sponsors

  • Minit - Automated business process discovery with actionable insights in seconds
  • TU/e - Mathematics & Computer Science