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Slides supporting the book "Process Mining: Discovery, Conformance, and Enhancement of Business Processes" by Wil van der Aalst. See also http://springer.com/978-3-642-19344-6 (ISBN 978-3-642-19344-6) and the website http://www.processmining.org/book/start providing sample logs.
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Chapter 10Tool Support
prof.dr.ir. Wil van der Aalstwww.processmining.org
Overview
PAGE 1
Part I: Preliminaries
Chapter 2 Process Modeling and Analysis
Chapter 3Data Mining
Part II: From Event Logs to Process Models
Chapter 4 Getting the Data
Chapter 5 Process Discovery: An Introduction
Chapter 6 Advanced Process Discovery Techniques
Part III: Beyond Process Discovery
Chapter 7 Conformance Checking
Chapter 8 Mining Additional Perspectives
Chapter 9 Operational Support
Part IV: Putting Process Mining to Work
Chapter 10 Tool Support
Chapter 11 Analyzing “Lasagna Processes”
Chapter 12 Analyzing “Spaghetti Processes”
Part V: Reflection
Chapter 13Cartography and Navigation
Chapter 14Epilogue
Chapter 1 Introduction
Business Intelligence?
• “BI is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision making”
• Examples of products: IBM Cognos Business Intelligence (IBM), Oracle Business Intelligence (Oracle), SAP BusinessObjects (SAP), WebFOCUS (Information Builders), MS SQL Server (Microsoft), MicroStrategy (MicroStrategy), NovaView (Panorama Software), QlikView (QlikTech), SAS Enterprise Business Intelligence (SAS), TIBCO Spotfire Analytics (TIBCO), Jaspersoft (Jaspersoft), and Pentaho BI Suite (Pentaho).
PAGE 2
Typical functionality
• ETL (Extract, Transform, and Load). • Ad-hoc querying. • Reporting. • Interactive dashboards• Alert generation.
PAGE 3
iPhone 4G
iPod nano
iPod classic
Q1 Q2 Q3 Q4
sales by quarter
sale
s by
pro
duct
West
South
East
North
sales
by re
gion
all iPhone 4G sales in region West in the
fourth quarter of 2011
Three dimensionalOLAP cube containing salesdata. Each cell refers to allsales of a particular productin a particular region andin a particular period. Foreach cell the BI product cancompute metrics such as thenumber of items sold or thetotal value.
Example: Pentahowww.pentaho.com
PAGE 4
Business Unintelligence
• No real process orientation.• Only simple views on event data.• Focus on reporting and monitoring of KPIs.
Data mining ≠ process mining• Data mining tools provide more “intelligent
functionality” than BI tools, but are also not process-centric.
• See for example WEKA (Waikato Environment for Knowledge Analysis, weka.wikispaces.com) and R (www.r-project.org).
PAGE 5
ProM
• www.processmining.org• ProM supports all of the techniques mentioned in
book and on slides!• Pluggable architecture. • Major differences between ProM 5.2 (and earlier) and
ProM 6.
PAGE 6
Screenshot of ProM 5.2
PAGE 7
Screenshot of ProM 6
PAGE 8(based on handover of work)
ProM 6: α miner
PAGE 9
ProM 6: Social network analyzer
PAGE 10
Example plug-ins in ProM 6(see book and website)
PAGE 11
Some process mining tools
PAGE 12
Futura Reflect (process view)(also embedded in BPM|one)
PAGE 13
Futura Reflect(social network)
PAGE 14
Loading and converting event logs
• XESame, Nitro, ProMimport
PAGE 15