Slides of my presentation at BPI workshop at BPM conference, 3 September 2012, Tallinn, Estonia

1. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Process Mining and the ProM
Framework: An Exploratory Survey
Jan Claes and Geert Poels
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012

2. Process mining survey
Exploratory survey
Goal: to reveal perceptions about
 Process mining in general
 ProM tool in particular
From 2012-3-18 to 2012-5-1 (44 days)
15 + 3 questions
28 – 119 answers per question (97 on average)
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 2/23

3. Process Mining Survey
Goal of this presentation
 Presenting results
 Discussion of results
 Not to get feedback (although always welcome)
Feel free to interrupt at any time!
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 3/23

4. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Demographics
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012

5. Profession of respondents (98 respondents)
PRACTITIONER
auditor
consultant
processanalyst
researcher
student
other
RESEARCHER
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 5/23

6. Age of respondents (90 respondents)
21-24 year
25-29 year
30-34 year
35-39 year
40-44 year
45-49 year
50-54 year
55-60 year
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 6/23

7. Process mining expertise (98 respondents)
excellent
good
intermediate
bad
nonexistent
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 7/23

8. Application area (87 respondents)
quality
performance
audit
other
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 8/23

9. Geographical spread (90 respondents)
30 respondents 1 respondent
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 9/23

10. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Process Mining
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012

11. Process mining tools (119 respondents)
ProM
ProM Import
Nitro
XESame
Disco
BPMOne
Futura Reflect
ARIS Process Performance…
QPR ProcessAnalyzer/Analysis
Interstage Autom. Process…
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 11/23

12. Benefits of process mining (94 respondents)
60 57
50
40
30
20 16 18
11 9
10 7 5 5 7
4 3 2 3 4 2
1
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 12/23

13. Drawback of process mining (90 respondents)
30 27
25 24
20 19
16 15
15
10 8 7
5 5
5 3 3 2 2 2 3
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 13/23

14. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
ProM
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012

15. Benefits & drawbacks of ProM (78 respondents)
60 58
50
41
40
30 22
20 13
9
10 5 3 2 5 5 2 2
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 15/23

16. Versions of ProM (114 respondents)
ProM 6
ProM 5
ProM 4
ProM 3
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 16/23

17. practice research ProM 5 vs. ProM 6 (114 respondents)
prom5
prom6
prom5
prom6
prom5
total
prom6
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 17/23

18. Plug-ins of ProM 5.2 (115 respondents)
Fuzzy Miner
Heuristics miner
Social network miner
Dotted Chart analysis
Alpha algorithm plugin
LTL Checker
Log Summary
Geneteic algorithm plugin
Alpha++ algorithm plugin
Basic Performance Analysis
Organizational Miner
Perf. Sequence Diagram Analysis
SCIFF Checker Plugin
Advanced Dotted Chart Analysis
Originator by Task Matrix
Transition System Generator
Semantic LTL Checker
Basic Log Statistics
Sequence Clustering
0 10 20 30 40 50
Frequent use Occasional use Tried it once
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 18/23

19. Plug-ins of ProM 6.1 (115 respondents)
Heuristics Miner
Mine for a Fuzzy Model
Analyze using Dotted Chart
Replay a Log on PN for Conf. Analysis
Animate Event Log in Fuzzy instance
Add Artificial Events
Mine for a Handover-of-Work Social Network
Trace Alignment (with Guide Tree)
LTL Checker Default
Mine for a PN using Alpha-algorithm
LTL Checker
Flexible Heuristics Miner
Mine for a Working-Together Social Network
Filter Log Using Simple Heuristics
Analyze Transition System
Mine Transition System
0 5 10 15 20 25 30
Frequent use Occasional use Tried it once
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 19/23

20. Plug-ins of ProM 5.2 (48 respondents)
Basic Log Statistics
Log Summary
Basic Performance Analysis
Originator by Task Matrix
Social network miner
Organizational Miner
Heuristics miner
Alpha algorithm plugin
Alpha++ algorithm plugin
Advanced Dotted Chart Analysis
LTL Checker
Dotted Chart analysis
Perf. Sequence Diagram Analysis
Fuzzy Miner
Semantic LTL Checker
Transition System Generator
SCIFF Checker Plugin
Sequence Clustering
Trace Clustering
Genetic algorithm plugin
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 20/23

21. Plug-ins of ProM 6.1 (48 respondents)
Add Artificial Events
Mine for a PN using Alpha-algorithm
Analyze using Dotted Chart
Animate Event Log in Fuzzy instance
Mine for a Fuzzy Model
Heuristics Miner
LTL Checker Default
Replay Log on PN for Conf. Analysis
Flexible Heuristics Miner
Mine Transition System
Mine for a PN using ILP
LTL Checker
Genetic Miner - from initial population
Trace Alignment (with Guide Tree)
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 21/23

22. Conclusion
Focus was on relevance rather than rigor
Limitations
 Open questions (risk of misinterpretation)
 Optional questions (no linking of questions possible)
 Some anomalies detected (e.g. double answers)
Implications
 Research: perliminary insights to derive hypotheses
 Practice: insight in (perceived) properties
 Developers: general feedback and specific focus points
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 22/23

23. Contact information
Download the extended report and the raw data set
at http://www.janclaes.info/papers/PMSurvey/
(the link is also mentioned in the paper)
Download a digital copy of the paper
at http://processmining.ugent.be/contributions.php
(the link is also mentioned in the paper)
Jan Claes
jan.claes@ugent.be
http://www.janclaes.info
Twitter: @janclaesbelgium
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 23/23