Analysis of collaborative processes through process mining and social network analysis
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The document discusses the advancements in process mining and its relevance in enhancing operational support for collaborative processes. It outlines current and future research directions, particularly the interplay between social networks and business processes, along with various application areas. The author emphasizes the maturity of process mining technology and the importance of understanding the complexities of collaborative processes.
Analysis of collaborative processes through process mining and social network analysis
- 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
- 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
- 15. Scope Discovery Conformance checking Social network/organizational mining Case prediction History-based recommendation 15
- 17. Current research
- 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
- 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