Business Process Data Analytics – Course Agenda

Day 1

 9:00 – 10:30 Module I – Introduction to BPM and BPM lifecycle

  • BPM principles
  • BPM value propositions
  • BPM lifecycle

 9:00 – 10:30 Morning Tea

 11:00 – 12:30 Module II – Process mining overview

  • Process mining concepts
  • Process mining and data mining
  • Data sources for process mining
  • Process mining capabilities

12:30 – 13:30 Lunch

 13:30 – 15:00 Module III – Event log preparation

  • Elements of event logs
  • Event log vs. case log
  • Data extraction
  • Data pre-processing

 15:00 – 15:30 Afternoon Tea

 15:30 – 17:00 Module IV – Introduction to process data analysis tools

  • Introduction to Disco
  • Introduction to ProM Tool
  • Plug-ins in Prom Tool

End of Day 1

Day 2

 9:00 – 10:30 Module V – Process discovery

  • Process discovery concepts
  • Advantages and disadvantages of various process discovery algorithms
  • Interpreting process discovery results

 10:30 – 11:00 Morning Tea

 11:00 – 12:30 Module VI – Process discovery – Hands-on practice

  • Hands-on practice with the ProM Tool
    • Alpha-miner
    • Inductive-miner
    • ILP-miner

 12:30 – 13:30 Lunch

 13:30 – 15:00 Module VII – Conformance checking

  • Concepts of conformance checking (play-in, play-out, replay)
  • Conformance checking with token play
  • Conformance checking with alignment
  • Interpreting conformance checking results

 15:00 – 15:30 Afternoon Tea

 15:30 – 17:00 Module VIII – Conformance checking – Hands-on practice

  • Hands-on practice (manual) – Token Replay
  • Hands-on practice with ProM Tool – Alignment

 End of Day 2

 Day 3

 9:00 – 10:30 Module IX – Resource analysis

  • Dimensions of process mining analyses
    • Configuring event logs to discover resource perspective
  • Social network analysis
  • Resources analysis interpretation

 10:30 – 11:00 Morning Tea

 11:00 – 12:30 Module X – Resource analysis – Hands-on Practice

  • Configuring event logs for resource perspective using ProM Tool
  • Resource analysis with ProM Tool

 12:30 – 13:30 Lunch

 13:30 – 15:00 Module XI – Performance analysis

  • Performance metrics (e.g. wait times, working times, and synchronisation times)
  • Basic performance analysis
  • Performance analysis with Petri nets
  • Dotted-chart analysis

 15:00 – 15:30 Afternoon Tea

 15:30 – 17:00 Module XII – Performance analysis – Hands-on practice

  • Basic performance analysis with ProM Tool (resource and task perspectives)
  • Performance analysis with ProM Tool (task perspective)

End of Day 3

Day 4

 09:30 – 10:30 Module XIII – Process mining methodology

  • Approaches to conducting process mining project
  • Exploratory vs. question-driven styles
  • Stakeholders involvement
  • Common pitfalls in process mining projects

 10:30 – 11:00 Morning Tea

 11:00 – 12:30 Module XIV – Quality of process data

  • Garbage-in Garbage-out
  • Validity of results
  • Event log imperfection patterns
    • Symptoms
    • Impact
    • Possible repair actions

 12:30 – 13:30 Lunch

 13:30 – 15:00 Module XV – Case study – Part 1

  • Case study introduction
  • Identifying questions and outcomes
  • Event log preparation and pre-processing

 15:00 – 15:30 Afternoon Tea

 15:30 – 17:00 Module XVI – Case study – Part 2

  • Process discovery
  • Conformance checking
  • Resources analysis
  • Performance analysis

End of Day 4