Zbigniew Paszkiewicz Department of Information Technology

Poznań University of Economics, Poland

zpasz@kti.ue.poznan.pl

October 16th, 2013, Tokyo, Japan

Analysis of collaborative processes

through process mining and social network analysis

Expanding innovations by joining strengths

Agenda

Process mining Current research Future research Other activities

2

Process mining

Commercials vs. reality

Commercial What we eat

4

Commercial Reality

Image by Fluxicon

Also true for processes

5

Commercial Reality

Wrong information leads to wrong decisions

6

Image by Fluxicon

Workshops, models de jure, documents

7

Image by Fluxicon

Exceptions and adaptation

8

Image by Fluxicon

Nobody sees the whole picture

9

Image by Fluxicon

Processes are complex

10

Image by Fluxicon

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

15

Organizational x-ray

16

Current research

Modeling collaboration

Business Process Model

Social Network

Collaboration

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

Representation as service protocols

Context modeling

Recommendation of activity patterns in unstructured processes

23

Identification of parts of a collaborative process that have a predictable structure and those which have ad-hoc character

Application areas

24

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 monitoring

– Process adaptation

26

68%

Mutual influences of social networks and processes

• Research issues – Mining

– Simulating

– Predicting

• Application areas – Process participants selection

– Process adaptation

27

Interdependent networks

• Research issues – Modeling

– Mining

– Simulating

– Predicting

• Application areas – Smart cities

– Multi-modal transport

– Construction management

28

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 Process Mining, Dagstuhl Seminar

• Courses on process mining for students and open workshops

32

http://www.fluxicon.com/disco/

Software

33

http://www.promtools.org/prom6/ http://ergo.kti.ue.poznan.pl/

Consultancy knowledge

Summary

34

Process mining

is a mature

technology

Operational

support based on

process mining

Mutual impact of

social networks

and processes

Discovery of

collaboration

schemes

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

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

Thank you for your attention

Zbigniew Paszkiewicz Department of Information Technology

Poznań University of Economics, Poland

zpasz@kti.ue.poznan.pl

This work has been partially supported by the Polish National Science Center. Grant no. DEC-2011/01/N/ST6/04205