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Process Mining - Chapter 10 - Tool Support

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Slides supporting the book "Process Mining: Discovery, Conformance, and Enhancement of Business Processes" by Wil van der Aalst. See also (ISBN 978-3-642-19344-6) and the website providing sample logs.

Publicado en: Empresariales, Tecnología

Process Mining - Chapter 10 - Tool Support

  1. 1. Chapter 10Tool Wil van der
  2. 2. OverviewChapter 1IntroductionPart I: PreliminariesChapter 2 Chapter 3Process Modeling and Data MiningAnalysisPart II: From Event Logs to Process ModelsChapter 4 Chapter 5 Chapter 6Getting the Data Process Discovery: An Advanced Process Introduction Discovery TechniquesPart III: Beyond Process DiscoveryChapter 7 Chapter 8 Chapter 9Conformance Mining Additional Operational SupportChecking PerspectivesPart IV: Putting Process Mining to WorkChapter 10 Chapter 11 Chapter 12Tool Support Analyzing “Lasagna Analyzing “Spaghetti Processes” Processes”Part V: ReflectionChapter 13 Chapter 14Cartography and EpilogueNavigation PAGE 1
  3. 3. 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
  4. 4. 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.
  5. 5. Example: PAGE 4
  6. 6. 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, and R ( PAGE 5
  7. 7. ProM•• 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
  8. 8. Screenshot of ProM 5.2 PAGE 7
  9. 9. Screenshot of ProM 6(based on handover of work) PAGE 8
  10. 10. ProM 6: α miner PAGE 9
  11. 11. ProM 6: Social network analyzer PAGE 10
  12. 12. Example plug-ins in ProM 6(see book and website) PAGE 11
  13. 13. Some process mining tools PAGE 12
  14. 14. Futura Reflect (process view)(also embedded in BPM|one) PAGE 13
  15. 15. Futura Reflect(social network) PAGE 14
  16. 16. Loading and converting event logs• XESame, Nitro, ProMimport PAGE 15