BPI@BPM2012
23
Faculty of Economics and Business Administration Department of Management Information and Operations Management Process mining survey Sunday 26 J FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Process Mining and the ProM Framework: An Exploratory Survey Jan Claes and Geert Poels
description
Slides of my presentation at BPI workshop at BPM conference, 3 September 2012, Tallinn, Estonia
Transcript of BPI@BPM2012
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey, BPI’128 April 2023
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 Department of Management Information and Operations Management
Process mining survey , BPI’122/23
Process mining survey
Exploratory surveyGoal: to reveal perceptions about
Process mining in general ProM tool in particular
From 2012-3-18 to 2012-5-1 (44 days)15 + 3 questions28 – 119 answers per question (97 on average)
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’123/23
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 Department of Management Information and Operations Management
Process mining survey, BPI’128 April 2023
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Demographics
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’125/23
Profession of respondents (98 respondents)
auditor
consultant
processanalyst
researcher
student
other
PRACTITIONER
RESEARCHER
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’126/23
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 Department of Management Information and Operations Management
Process mining survey , BPI’127/23
Process mining expertise (98 respondents)
excellentgoodintermediatebadnonexistent
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’128/23
Application area (87 respondents)
qualityperformanceauditother
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’129/23
30 respondents 1 respondent
Geographical spread (90 respondents)
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey, BPI’128 April 2023
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Process Mining
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1211/23
Process mining tools (119 respondents)
Interstage Autom. Process Discovery
QPR ProcessAnalyzer/Analysis
ARIS Process Performance Manager
Futura Reflect
BPMOne
Disco
XESame
Nitro
ProM Import
ProM
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1212/23
Benefits of process mining (94 respondents)
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26
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Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1213/23
Drawback of process mining (90 respondents)
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0tan14aa566014
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Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey, BPI’128 April 2023
FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
ProM
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1215/23
Benefits & drawbacks of ProM (78 respondents)
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Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1216/23
Versions of ProM (114 respondents)
ProM 3
ProM 4
ProM 5
ProM 6
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1217/23
ProM 5 vs. ProM 6 (114 respondents)
prom6
prom5
prom6
prom5
prom6
prom5
tota
lpr
actic
ere
sear
ch
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1218/23
Plug-ins of ProM 5.2 (115 respondents)
Sequence ClusteringBasic Log Statistics
Semantic LTL CheckerTransition System Generator
Originator by Task MatrixAdvanced Dotted Chart Analysis
SCIFF Checker PluginPerf. Sequence Diagram Analysis
Organizational MinerBasic Performance Analysis
Alpha++ algorithm pluginGeneteic algorithm plugin
Log SummaryLTL Checker
Alpha algorithm pluginDotted Chart analysisSocial network miner
Heuristics minerFuzzy Miner
Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1219/23
Plug-ins of ProM 6.1 (115 respondents)
Mine Transition System
Analyze Transition System
Filter Log Using Simple Heuristics
Mine for a Working-Together Social Network
Flexible Heuristics Miner
LTL Checker
Mine for a PN using Alpha-algorithm
LTL Checker Default
Trace Alignment (with Guide Tree)
Mine for a Handover-of-Work Social Network
Add Artificial Events
Animate Event Log in Fuzzy instance
Replay a Log on PN for Conf. Analysis
Analyze using Dotted Chart
Mine for a Fuzzy Model
Heuristics Miner
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Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1220/23
Plug-ins of ProM 5.2 (48 respondents)
Genetic algorithm pluginTrace Clustering
Sequence ClusteringSCIFF Checker Plugin
Transition System GeneratorSemantic LTL Checker
Fuzzy MinerPerf. Sequence Diagram Analysis
Dotted Chart analysisLTL Checker
Advanced Dotted Chart AnalysisAlpha++ algorithm plugin
Alpha algorithm pluginHeuristics miner
Organizational MinerSocial network miner
Originator by Task MatrixBasic Performance Analysis
Log SummaryBasic Log Statistics
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1221/23
Plug-ins of ProM 6.1 (48 respondents)
Trace Alignment (with Guide Tree)
Genetic Miner - from initial population
LTL Checker
Mine for a PN using ILP
Mine Transition System
Flexible Heuristics Miner
Replay Log on PN for Conf. Analysis
LTL Checker Default
Heuristics Miner
Mine for a Fuzzy Model
Animate Event Log in Fuzzy instance
Analyze using Dotted Chart
Mine for a PN using Alpha-algorithm
Add Artificial Events
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Department of Management Information and Operations Management
Process mining survey , BPI’1222/23
Conclusion
Focus was on relevance rather than rigorLimitations
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 Department of Management Information and Operations Management
Process mining survey , BPI’1223/23
Contact information
http://www.janclaes.infoTwitter: @janclaesbelgium
Download the extended report and the raw data setat 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)
