FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION        Process Mining and the ProM     Framework: An Exploratory Survey  ...
Process mining surveyExploratory surveyGoal: to reveal perceptions about        Process mining in general        ProM ...
Process Mining SurveyGoal of this presentation        Presenting results        Discussion of results        Not to ge...
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION                                        DemographicsFaculty of Economics a...
Profession of respondents (98 respondents)                                           PRACTITIONER                         ...
Age of respondents (90 respondents)                                                                 21-24 year            ...
Process mining expertise (98 respondents)                                                                 excellent       ...
Application area (87 respondents)                                                                  quality                ...
Geographical spread (90 respondents)                                         30 respondents               1 respondentFacu...
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION                                       Process MiningFaculty of Economics ...
Process mining tools (119 respondents)                                    ProM                           ProM Import      ...
Benefits of process mining (94 respondents) 60       57 50 40 30 20             16                                     18 ...
Drawback of process mining (90 respondents)  30      27  25             24  20                                  19        ...
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION                                                   ProMFaculty of Economic...
Benefits & drawbacks of ProM (78 respondents)    60                                                           58    50    ...
Versions of ProM (114 respondents)ProM 6ProM 5ProM 4ProM 3 Frequent use       Occasional use       Tried it once     Didnt...
practice research                 ProM 5 vs. ProM 6 (114 respondents)                    prom5                    prom6   ...
Plug-ins of ProM 5.2 (115 respondents)                                 Fuzzy Miner                            Heuristics m...
Plug-ins of ProM 6.1 (115 respondents)                                     Heuristics Miner                              M...
Plug-ins of ProM 5.2 (48 respondents)                              Basic Log Statistics                                   ...
Plug-ins of ProM 6.1 (48 respondents)                                         Add Artificial Events                       ...
ConclusionFocus was on relevance rather than rigorLimitations      Open questions (risk of misinterpretation)      Opt...
Contact information                                               Download the extended report and the raw data set       ...
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BPI@BPM2012

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

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BPI@BPM2012

  1. 1. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Process Mining and the ProM Framework: An Exploratory Survey Jan Claes and Geert PoelsFaculty of Economics and Business Administration Process mining survey, BPI’12Department of Management Information and Operations Management 3 September, 2012
  2. 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’12Department of Management Information and Operations Management 2/23
  3. 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’12Department of Management Information and Operations Management 3/23
  4. 4. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION DemographicsFaculty of Economics and Business Administration Process mining survey, BPI’12Department of Management Information and Operations Management 3 September, 2012
  5. 5. Profession of respondents (98 respondents) PRACTITIONER auditor consultant processanalyst researcher student otherRESEARCHER Faculty of Economics and Business Administration Process mining survey , BPI’12 Department of Management Information and Operations Management 5/23
  6. 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 yearFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 6/23
  7. 7. Process mining expertise (98 respondents) excellent good intermediate bad nonexistentFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 7/23
  8. 8. Application area (87 respondents) quality performance audit otherFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 8/23
  9. 9. Geographical spread (90 respondents) 30 respondents 1 respondentFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 9/23
  10. 10. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Process MiningFaculty of Economics and Business Administration Process mining survey, BPI’12Department of Management Information and Operations Management 3 September, 2012
  11. 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 Didnt use but heard about Never heard aboutFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 11/23
  12. 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 0Faculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 12/23
  13. 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 0Faculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 13/23
  14. 14. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION ProMFaculty of Economics and Business Administration Process mining survey, BPI’12Department of Management Information and Operations Management 3 September, 2012
  15. 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 0Faculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 15/23
  16. 16. Versions of ProM (114 respondents)ProM 6ProM 5ProM 4ProM 3 Frequent use Occasional use Tried it once Didnt use but heard about Never heard aboutFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 16/23
  17. 17. practice research ProM 5 vs. ProM 6 (114 respondents) prom5 prom6 prom5 prom6 prom5total prom6 Frequent use Occasional use Tried it once Didnt use but heard about Never heard aboutFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 17/23
  18. 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 onceFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 18/23
  19. 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 onceFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 19/23
  20. 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 settingsFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 20/23
  21. 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 settingsFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 21/23
  22. 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 pointsFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 22/23
  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: @janclaesbelgiumFaculty of Economics and Business Administration Process mining survey , BPI’12Department of Management Information and Operations Management 23/23

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