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Big Data Expo 2015 - Data Science Center Eindhove

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Bestaande “Big Data” aanpakken richten zich op de onderliggende infrastructuur en komen niet vaak niet verder dan het tellen van aantallen en het afleiden van eenvoudige correlaties. De uitdaging is echter het omzetten van data (Big or small) in waarde en echt nieuwe inzichten. Innovatieve Data Science technieken maken dit mogelijk, zie bijvoorbeeld de recente ontwikkelingen op het gebied van process mining. Event data kunnen ingezet worden om automatisch het gedrag van mensen, producten en organisaties te ontdekken en te verbeteren. Wat zijn de oorzaken van afwijkingen en knelpunten? De antwoorden - en de sleutel tot verbetering - liggen vaak in de data. Zoals spreadsheets gebruikt worden om berekeningen uit te voeren, kunnen process mining tools dynamisch gedrag analyseren. Toepassingen lopen uiteen van het reduceren van wachtlijsten in ziekenhuizen tot het voorspellen van storingen in productie- en transportsystemen.

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Big Data Expo 2015 - Data Science Center Eindhove

  1. 1. Process Mining Data Science in Action Wil van der Aalst www.vdaalst.com @wvdaalst www.processmining.org
  2. 2. … , but data science is here to stay!
  3. 3. Data Science Center Eindhoven http://www.tue.nl/dsce/
  4. 4. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) DSC/e: Competences and Research Programs 28 groups and 420+ people involved
  5. 5. Data Science Flagship (Philips & DSC/e) 4 Strategic topics •Data Driven Value Propositions •Healthcare Smart Maintenance •Optimizing Healthcare Workflows •Continuous Personal Health 4 TU/e departments 16 PhD students 30 Data science specialists
  6. 6. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) “Data Science University” in Den Bosch
  7. 7. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: On the interface between process science and data science
  8. 8. As generic as a spreadsheet!
  9. 9. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Spreadsheet: Killer App for early computers • VisiCalc (killer app for Apple II, Oct. 1979) • Lotus 1-2-3 (killer app for IBM PC 1983) • Microsoft Excel (1985)
  10. 10. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Spreadsheet: Static data
  11. 11. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Spreadsheet: Static data fact derived
  12. 12. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Spreadsheet: Static data 31 items sold total value average distribution
  13. 13. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Spreadsheet: Static data How to analyze operational processes?
  14. 14. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior • Input: events (“things that have happened”) • Mandatory per event: − case identifier − activity name − timestamp/date • Optional − resource − transaction type − costs − … case identifier activity name timestamp resourcerow = event
  15. 15. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior 208 cases 5987 events 74 activities
  16. 16. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior batching for activities “opstellen eindnota” and “archiveren”
  17. 17. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Loesje van der Aalst desire line Process Discovery
  18. 18. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior process discovery NO modeling needed!
  19. 19. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior process discovery NO modeling needed! 74 act. 11 act. 3 act.
  20. 20. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) event dataprocess model Conformance Checking
  21. 21. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) desire line very safe system Conformance Checking
  22. 22. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior conformance checking ? discovered or hand-made
  23. 23. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior conformance checking fitness of 93.5%
  24. 24. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior conformance checking final inspection is skipped 40 times
  25. 25. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior conformance checking move on model (something should have happened, but did not) move on log (something happened that should not happen)
  26. 26. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior performance analysis average flowtime is 1.92 months bottleneck NO modeling needed!
  27. 27. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior performance analysis waiting time of 15.74 days NO modeling needed!
  28. 28. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior animating reality real cases NO modeling needed!
  29. 29. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining: Spreadsheet for behavior 16 cases are queueing animating reality
  30. 30. Deviations Where? Why? time costs …
  31. 31. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) How to get started? • Event Data • Process Mining Tools • Data Science Mindset
  32. 32. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Starting point for process mining: Event data patient activity timestamp doctor age cost 5781 make X-ray 23-1-2014@10.30 Dr. Jones 45 70.00 5541 blood test 23-1-2014@10.18 Dr. Scott 61 40.00 5833 blood test 23-1-2014@10.27 Dr. Scott 24 40.00 5781 blood test 23-1-2014@10.49 Dr. Scott 45 40.00 5781 CT scan 23-1-2014@11.10 Dr. Fox 45 1200.00 5833 surgery 23-1-2014@12.34 Dr. Scott 24 2300.00 5781 handle payment 23-1-2014@12.41 Carol Hope 45 0.00 5541 radiation therapy 23-1-2014@13.57 Dr. Jones 61 140.00 5541 radiation therapy 23-1-2014@13.08 Dr. Jones 61 140.00 … … … … … … case id activity name timestamp other dataresource Such data is everywhere (databases, ERP/CRM/HIS/… systems, transaction logs, messaging, social media, etc.)
  33. 33. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) How to get started? • Event Data • Process Mining Tools • Data Science Mindset
  34. 34. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) Process Mining Software
  35. 35. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) 900+ plug-ins available covering the whole process mining spectrum
  36. 36. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements)©Wil van der Aalst & TU/e (use only with permission & acknowledgements)
  37. 37. ©Wil van der Aalst & TU/e (use only with permission & acknowledgements) How to get started? • Event Data • Process Mining Tools • Data Science Mindset
  38. 38. Process Mining Data Science in Action 43.000+25.000 people joined! Starts again on October 7th 2015! Register via https://www.coursera.org/course/procmin
  39. 39. Conclusion http://www.tue.nl/dsce/ Get started today! spreadsheet for behavior data-oriented analysis (data mining, machine learning, business intelligence) process model analysis (simulation, verification, optimization, gaming, etc.) performance- oriented questions, problems and solutions compliance- oriented questions, problems and solutions

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