Process Mining - Chapter 10 - Tool Support

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This document discusses tool support for process mining. It introduces the process mining tool ProM, which supports all the techniques discussed in the book and slides. ProM has a pluggable architecture and the major differences between versions 5.2 and 6 are highlighted. Screenshots of the ProM user interface are provided. Example plug-ins in ProM 6 for the alpha miner and social network analyzer are described. Other process mining tools mentioned include Futura Reflect, which can show process views and social networks, and tools for loading and converting event logs like XESame, Nitro, and ProMimport.

Negócios Tecnologia

Chapter 10
Tool Support

prof.dr.ir. Wil van der Aalst
www.processmining.org

Overview
Chapter 1
Introduction

Part I: Preliminaries

Chapter 2 Chapter 3
Process Modeling and Data Mining
Analysis

Part II: From Event Logs to Process Models

Chapter 4 Chapter 5 Chapter 6
Getting the Data Process Discovery: An Advanced Process
Introduction Discovery Techniques

Part III: Beyond Process Discovery

Chapter 7 Chapter 8 Chapter 9
Conformance Mining Additional Operational Support
Checking Perspectives

Part IV: Putting Process Mining to Work

Chapter 10 Chapter 11 Chapter 12
Tool Support Analyzing “Lasagna Analyzing “Spaghetti
Processes” Processes”

Part V: Reflection

Chapter 13 Chapter 14
Cartography and Epilogue
Navigation
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

sales by product
iPhone 4G

iPod nano

N
Three dimensional

or t
th
Ea
OLAP cube containing sales iPod classic

s

n
So

o
data. Each cell refers to all

gi
ut

re
W

h
sales of a particular product Q1 Q2 Q3 Q4

es

by
t
in a particular region and

s
le
sales by quarter

sa
in a particular period. For
each cell the BI product can
compute metrics such as the
number of items sold or the
PAGE 3
total value.

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 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 6

(based on handover of work)
PAGE 8

ProM 6: Social network analyzer

PAGE 10

Example plug-ins in ProM 6
(see book and website)

PAGE 11

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

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