October 16th, 2013, Tokyo, Japan

Expanding innovations
by joining strengths

Analysis of collaborative processes
through ...
Agenda

Process mining

Current research

Future research

2

Other activities
Process mining
Commercials vs. reality
Commercial

Reality

Commercial

What we eat

Image by Fluxicon

4
Also true for processes
Commercial

Reality

5
Wrong information leads to wrong decisions

Image by Fluxicon
6
Workshops, models de jure, documents

Image by Fluxicon
7
Exceptions and adaptation

Image by Fluxicon
8
Nobody sees the whole picture

Image by Fluxicon
9
Processes are complex

Image by Fluxicon
10
Big Data

11
Big Data

12
Process mining

13
Data visualization

14
Scope

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

1...
Organizational x-ray

16
Current research
Modeling collaboration
Business
Process
Model

Collaboration

Social
Network

18
Social protocols

Business
Process
Model

Social
requirements
From repeatable to collaborative processes

20
Operational support for collaborative processes

Description of context

21
Operational support for collaborative processes

Description of context

22
Research issues
Identification of parts of a collaborative process that have a
predictable structure and those which have ...
Application areas
Selection of business partners

Identification and promotion of best practices

Construction management
...
Future research
Service protocols conformance check
• Research issues
– Mining
– Modeling
– Predicting

• Application areas
– Process moni...
Mutual influences of
social networks and processes
• Research issues
– Mining
– Simulating
– Predicting

• Application are...
Interdependent networks
• Research issues
–
–
–
–

Modeling
Mining
Simulating
Predicting

• Application areas
– Smart citi...
Other activities
IEEE Task Force on Process Mining

www.win.tue.nl/ieeetfpm/

30
Polish Process Mining Group

www.processmining.pl
www.twitter.com/processminingpl

31
Cooperation and initiatives
• Cooperation with business sector
• BPI Challenge 2013 for Volvo IT
• Unleashing Operational ...
Software

Consultancy knowledge

http://www.fluxicon.com/disco/
http://www.promtools.org/prom6/

http://ergo.kti.ue.poznan...
Summary

Process mining
is a mature
technology

Operational
support based on
process mining

Mutual impact of
social netwo...
Chosen publications (1)
•

•

•

Picard, W., 2013.
A Formalization of Social Requirements
for Human Interactions with Serv...
Chosen publications (2)
•

Picard, W., 2012.
Agile Service-Oriented E-Business in a Collaborative Networked Environment,
i...
This work has been partially supported
by the Polish National Science Center. Grant no. DEC-2011/01/N/ST6/04205

Thank you...
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Analysis of collaborative processes through process mining and social network analysis

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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.

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Analysis of collaborative processes through process mining and social network analysis

  1. 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. 2. Agenda Process mining Current research Future research 2 Other activities
  3. 3. Process mining
  4. 4. Commercials vs. reality Commercial Reality Commercial What we eat Image by Fluxicon 4
  5. 5. Also true for processes Commercial Reality 5
  6. 6. Wrong information leads to wrong decisions Image by Fluxicon 6
  7. 7. Workshops, models de jure, documents Image by Fluxicon 7
  8. 8. Exceptions and adaptation Image by Fluxicon 8
  9. 9. Nobody sees the whole picture Image by Fluxicon 9
  10. 10. Processes are complex Image by Fluxicon 10
  11. 11. Big Data 11
  12. 12. Big Data 12
  13. 13. Process mining 13
  14. 14. Data visualization 14
  15. 15. Scope Discovery Conformance checking Social network/organizational mining Case prediction History-based recommendation 15
  16. 16. Organizational x-ray 16
  17. 17. Current research
  18. 18. Modeling collaboration Business Process Model Collaboration Social Network 18
  19. 19. Social protocols Business Process Model Social requirements
  20. 20. From repeatable to collaborative processes 20
  21. 21. Operational support for collaborative processes Description of context 21
  22. 22. Operational support for collaborative processes Description of context 22
  23. 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. 24. Application areas Selection of business partners Identification and promotion of best practices Construction management 24
  25. 25. Future research
  26. 26. Service protocols conformance check • Research issues – Mining – Modeling – Predicting • Application areas – Process monitoring – Process adaptation 68% 26
  27. 27. Mutual influences of social networks and processes • Research issues – Mining – Simulating – Predicting • Application areas – Process participants selection – Process adaptation 27
  28. 28. Interdependent networks • Research issues – – – – Modeling Mining Simulating Predicting • Application areas – Smart cities – Multi-modal transport – Construction management 28
  29. 29. Other activities
  30. 30. IEEE Task Force on Process Mining www.win.tue.nl/ieeetfpm/ 30
  31. 31. Polish Process Mining Group www.processmining.pl www.twitter.com/processminingpl 31
  32. 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. 33. Software Consultancy knowledge http://www.fluxicon.com/disco/ http://www.promtools.org/prom6/ http://ergo.kti.ue.poznan.pl/ 33
  34. 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. 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. 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. 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
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