Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Process Mining Introduction

1,685 views

Published on

This presentation introduces the Process Mining as the cutting-edge data analytics approach for discovering the real processes by analyzing the event logs, detecting the bottlenecks, and generating recommendations for enhancing the business performance.

Published in: Data & Analytics
  • Be the first to comment

Process Mining Introduction

  1. 1. Data Analytics Department Sep 2015 Process Mining Data Science in Action Vala Ali Rohani Head of Data Analytics Department Postdoc in Social Network Analysis PhD of Software Engineering
  2. 2. Presented by: Dr. Vala Ali Rohani Process mining is to discover, monitor and improve real processes by extracting knowledge from event logs readily available in today's (information) systems. Professor Wil van der Aalst (God father of process mining) Department of Mathematics & Computer Science Eindhoven University of Technology http://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=shared:process_mining_manifesto-small.pdf Process mining includes: • (automated) process discovery • conformance checking (i.e., monitoring deviations by comparing model and log) • Social network/ organizational mining • automated construction of simulation models • model extension • model repair • case prediction • history-based recommendations Unlike traditional approaches the goal is not to construct a single static model. Process mining techniques can be used to dynamically generate process maps based on the most recent data.
  3. 3. Presented by: Dr. Vala Ali Rohani What is the difference between BPM and Process Mining? • Business Process Management (BPM) techniques and tools evolve around process models • It focuses on improving corporate performance by managing and optimising a company's business processes • Unfortunately, process models are often completely disconnected from actual event data • Analysis results are unreliable because they are not based on observed facts, but on an idealized model of reality • Process mining aims to bridge the gap between BI and BPM • Starting point for process mining is an event log • Each event in such a log refers to an activity and is related to a particular case • The events belonging to a case are ordered and describe one “run” of the process BPM Process Mining http://www.processmining.org/_media/publications/p651.pdf
  4. 4. Presented by: Dr. Vala Ali Rohani How new is the Process Mining in the world? The biggest IT annual event in the world
  5. 5. Presented by: Dr. Vala Ali Rohani How new is the process mining in the world? 2014 European Commission DIGIT-ICT CONFERENCE
  6. 6. Presented by: Dr. Vala Ali Rohani Now, how Process Mining can help organizations…
  7. 7. Data Analytics Presented by: Dr. Vala Ali Rohani Imagine an Organization … Staffs Clients Client Makes a request Staffs process the request
  8. 8. Presented by: Dr. Vala Ali Rohani Your business applications generate large quantities of time and event data about your business processes. Process mining examines this event data and applies process pattern recognition techniques. Then, it creates corresponding process models to : • elicit the main paths • illustrates the real work flows, • and detect the bottlenecks. http://www.lexmark.com/en_us/products/software/workflow-and-case-management/process-mining.html#
  9. 9. Presented by: Dr. Vala Ali Rohani Each organization has a log of these activities … 1) For each case relating to customers 2) Some activity happens 3) Starting at this time 4) Ending at this time 5) Relating to some products and services 5) And Some staffs will be involved in The dataset was downloaded from : https://fluxicon.com/disco/
  10. 10. Presented by: Dr. Vala Ali Rohani Having such a simple log files is enough to do a Process Mining project ??? Answer:
  11. 11. Presented by: Dr. Vala Ali Rohani Organization managers want to know : • What is the most frequent path in my organization process? • How are the cases distributed over my organization process? • To what extend do the cases comply with my process model? • What are the routing probabilities in my process? • What are the throughput times of my cases? • What are the service times for my tasks? • How much time was spent between any two tasks in my process? • How are my cases actually being executed? • What are the business rules in my process? • Are these rules indeed being obeyed? • How many of my people are typically involved in a case? • Who are Active? Who are Idle? • What is the communication structure and dependencies among my people? • Who are important people in my organization? • Who subcontracts work to whom? • What are the bottlenecks in my process? Van der Aalst, W. M., van Dongen, B. F., Günther, C. W., Rozinat, A., Verbeek, E., & Weijters, T. (2009, January). ProM: The Process Mining Toolkit. In Proceedings of the Business Process Management Demonstration Track (BPMDemos 2009), Ulm, Germany, September 8, 2009. Chicago
  12. 12. Presented by: Dr. Vala Ali Rohani You can Elicit the process model from this log file The process model was generated by Disco software (https://fluxicon.com/disco/) Process Discovery :
  13. 13. Presented by: Dr. Vala Ali Rohani Make it simpler to find the Main ProcessFinding the Main Process :
  14. 14. Presented by: Dr. Vala Ali Rohani Providing more details about the Frequency and Performance of each activity
  15. 15. Presented by: Dr. Vala Ali Rohani And even more, view the animation of workflows in the process model
  16. 16. Presented by: Dr. Vala Ali Rohani And furthermore statistical information about: Activities
  17. 17. Presented by: Dr. Vala Ali Rohani And furthermore statistical information about: Resources
  18. 18. Presented by: Dr. Vala Ali Rohani And furthermore statistical information about: Customers
  19. 19. Presented by: Dr. Vala Ali Rohani And furthermore statistical information about: Cases

×