The term process mining is used to describe techniques, tools, and methods to discover, monitor and improve real business processes by extracting knowledge from event logs commonly available in today's information systems. Process mining is based on exploration of events generated by process-aware information systems during the execution of process instances. The research conducted in the Department of Information Technology at the Poznań University of Economics aims at development of new process mining methods for efficient discovering, analysis and improvement of collaborative processes performed by organizations. A concept of service protocols has been coined to model behavioral and social aspects of collaboration. An RMV method has been developed to automatically discover service protocols from event logs generated during collaborative process execution. Service protocols discovered are used to correct, adjust and improve collaboration.

1. October 16th, 2013, Tokyo, Japan
Expanding innovations
by joining strengths
Analysis of collaborative processes
through process mining
and social network analysis
Zbigniew Paszkiewicz
Department of Information Technology
Poznań University of Economics, Poland
zpasz@kti.ue.poznan.pl

2. Agenda
Process mining
Current research
Future research
2
Other activities

3. Process mining

4. Commercials vs. reality
Commercial
Reality
Commercial
What we eat
Image by Fluxicon
4

5. Also true for processes
Commercial
Reality
5

6. Wrong information leads to wrong decisions
Image by Fluxicon
6

7. Workshops, models de jure, documents
Image by Fluxicon
7

8. Exceptions and adaptation
Image by Fluxicon
8

9. Nobody sees the whole picture
Image by Fluxicon
9

10. Processes are complex
Image by Fluxicon
10

11. Big Data
11

12. Big Data
12

13. Process mining
13

14. Data visualization
14

15. Scope
Discovery
Conformance checking
Social network/organizational mining
Case prediction
History-based recommendation
15

16. Organizational x-ray
16

17. Current research

18. Modeling collaboration
Business
Process
Model
Collaboration
Social
Network
18

19. Social protocols
Business
Process
Model
Social
requirements

20. From repeatable to collaborative processes
20

21. Operational support for collaborative processes
Description of context
21

22. Operational support for collaborative processes
Description of context
22

23. Research issues
Identification of parts of a collaborative process that have a
predictable structure and those which have ad-hoc character
Representation as service protocols
Context modeling
Recommendation of activity patterns in unstructured processes
23

24. Application areas
Selection of business partners
Identification and promotion of best practices
Construction management
24

25. Future research

26. Service protocols conformance check
• Research issues
– Mining
– Modeling
– Predicting
• Application areas
– Process monitoring
– Process adaptation
68%
26

27. Mutual influences of
social networks and processes
• Research issues
– Mining
– Simulating
– Predicting
• Application areas
– Process participants selection
– Process adaptation
27

28. Interdependent networks
• Research issues
–
–
–
–
Modeling
Mining
Simulating
Predicting
• Application areas
– Smart cities
– Multi-modal transport
– Construction management
28

29. Other activities

30. IEEE Task Force on Process Mining
www.win.tue.nl/ieeetfpm/
30

31. Polish Process Mining Group
www.processmining.pl
www.twitter.com/processminingpl
31

32. Cooperation and initiatives
• Cooperation with business sector
• BPI Challenge 2013 for Volvo IT
• Unleashing Operational Process Mining,
Dagstuhl Seminar
• Courses on process mining for students and open
workshops
32

33. Software
Consultancy knowledge
http://www.fluxicon.com/disco/
http://www.promtools.org/prom6/
http://ergo.kti.ue.poznan.pl/
33

34. Summary
Process mining
is a mature
technology
Operational
support based on
process mining
Mutual impact of
social networks
and processes
34
Discovery of
collaboration
schemes

35. Chosen publications (1)
•
•
•
Picard, W., 2013.
A Formalization of Social Requirements
for Human Interactions with Service Protocols,
Information Sciences, IF: 3.643, DOI: 10.1016/j.ins.2013.02.005
Paszkiewicz, Z., 2013.
Process Mining Techniques in Conformance Testing
of Inventory Processes: An Industrial Application,
Springer Verlag, Heidelberg
Paszkiewicz, Z., W. Picard, 2013.
Analysis of the Volvo IT Incident and Problem Handling Processes
using Process Mining and Social Network Analysis,
Business Process Intelligence Workshop Proceedings (CEUR Proceedings)
35

36. Chosen publications (2)
•
Picard, W., 2012.
Agile Service-Oriented E-Business in a Collaborative Networked Environment,
in Strategic and Pragmatic E-Business:
Implications for Future Business Practices, IGI Global,
DOI: 10.4018/978-1-4666-1619-6.ch001
•
Picard, W., 2012.
Semantic Modeling of Virtual Organizations
with Service Network Schemata,
New Generation Computing, IF: 0,941, DOI: 10.1007/s00354-012-0201-0
•
Paszkiewicz, Z., W. Cellary, 2012.
Computer Supported Collaboration of SMEs in Transnational Market,
Journal of Transnational Management
36

37. This work has been partially supported
by the Polish National Science Center. Grant no. DEC-2011/01/N/ST6/04205
Thank you
for your attention
Zbigniew Paszkiewicz
Department of Information Technology
Poznań University of Economics, Poland
zpasz@kti.ue.poznan.pl