Stage 4 - Prepare

• Analyzing the Data Sources
• The Data Quality Conditions to check
  • CONTROL_M1: Verifying the Process Flow Identifier
  • CONTROL_M2: Verifying the Step Name
  • CONTROL_M3: Verifying the Timestamp
• Checking duplicates
• Start Small … Think big !
• Data Sample size
• The DQA for Process Mining
  • DQA Stage 1: Data Source Profiling
  • DQA Stage 2: Rework the data
  • DQA Stage 3: Data Source Relationship detection
  • DQA Stage 4: Providing a logical Data Model
  • DQA Stage 5: Rework the data
  • DQA Stage 6: Build final Data source
• Preparing the data
  • Data Transformations for Process Mining
  • The Event Dictionary Workshop
• Looping back to the Data Quality Check (DQA)
• The Process Warehouse
  • What is a Process Warehouse ?
  • The Process Warehouse purpose
  • The Process Marts
  • Loading a Process Mart