Download Slide 0 - Process Mining Org

Chapter 10
Tool Support
prof.dr.ir. Wil van der Aalst
www.processmining.org
Overview
Chapter 1
Introduction
Part I: Preliminaries
Chapter 2
Process Modeling and
Analysis
Chapter 3
Data 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 13
Cartography and
Navigation
Chapter 14
Epilogue
PAGE 1
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.
all iPhone 4G sales
in region West in the
fourth quarter of 2011
iPhone 4G
gi
o
re
by
le
s
sa
sales by quarter
t
es
Q1 Q2 Q3 Q4
h
ut
So
iPod classic
n
Ea
th
or t
N
s
iPod nano
W
Three dimensional
OLAP cube containing sales
data. Each cell refers to all
sales of a particular product
in a particular region and
in a particular period. For
each cell the BI product can
compute metrics such as the
number of items sold or the
total value.
sales by product
•
•
•
•
•
PAGE 3
Example: Pentaho
www.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 processcentric.
• 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
(based on handover of work)
PAGE 8
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