Process Mining Intro (Eng)
Description
Process mining introduction based on examples with Disco, a process mining tool of Fluxicon.
Transcript
Process Mining Intro Email: dafnal@nool.co.ilDafna Levy Phone: +972 (0)54-6881739 ChallengesBusiness processes: • Need to be customer centric (quality, speed, reducing contacts) • Need to be efficient (costs, reducing waste) 2 Typical Situation Ideal Process Process Reality 3 Root Causes Subjectivity Everyone sees only a part Exceptions Poor visibility 4 Processmining canhelp by ... 5 Leveraging IT Data When processes aresupported by ITDetailed logs record: • Executed activities • When • By whom 6 Data Requirements Process Instance or 1 Case identifier Status or Activity 2 attribute (process step) One timestamp for 3 status change, start or completion of activity Process Mining Extract ‘As-is’ process from existing IT data Advantages: • Objective (fact-based) • Quick (automated) • Complete (all variations) 8 Process MiningProject • Determine • Via DB • Analyze ‘As- • Present results questions administrator is’ process (e.g., report, • Process • CSV file or • Answer presentation, scope database questions workshop etc.) • Which IT extract systems Purchasing Process Planned Actual Process Process 6 days (up to 48 Goal: 3 days days) 10 Benefits (1)Enables Waste Visibility • Hidden Activities Benefits (1)Enables Waste Visibility • Idle times in process Benefits (1)Enables Waste Visibility • Animation reveals bottlenecks & repetitions Benefits (2)Verify compliance regarding the approved and official process flow • Visual Comparison • Explicit checks: • - Existing model • - Rules Benefits (2)Discover compliance issue• Skipped activities Benefits (2)Segregation of duties• Violation of the 4-eyes rule Benefits (3)Social collaboration patterns Benefits (3)Comparing employees performance Benefits• Get objective picture of actual processes• Discover waste (to improve quality and cost)• Monitor effects of process changes• Verify that rules and prescribed processes are followed in reality 19 When not applicable?• Completely manual processes (no data available)• Data is known not to be trustworthy (does not represent the real process)• Problems that need to be solved are not related to the process 20 ContactFluxicon Email: anne@fluxicon.com Phone: +31-62-4364201 Web: http://fluxicon.comDafna Levy Email: dafnal@nool.co.il Phone: +972 (0)54-6881739