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Process Mining & Intelligent Automation Boot Camp

Industry analyst firm Gartner recently called “hyper-automation” a “condition of survival” for “organizations forced to accelerate digital transformation plans in a post-COVID-19, digital-first world.” Indeed, automation can be a powerful tool for mitigating the impacts of inflation, economic downturns and/or talent shortages by creating capacity, saving money, redirecting resources to more meaningful work, and providing customers with a more consistent experience.

Before automating, however, it is necessary to gain actionable insight into the most promising candidates for automation through analysis of operational processes. Process mining is a family of techniques for doing just that. Using event data to illuminate what people, machines and organizations are really doing, process mining enables the identification – and quantification – of the best opportunities for automation.

This hands-on Boot Camp explored the fundamentals of process mining and robotic process automation – and how they can be used to understand, improve, and automate repetitive business processes. Participants looked at common use cases for automation, as well as had an opportunity to work with popular software tools and a variety of datasets.

Following three, full-day in-person classroom sessions, attendees had the opportunity to further their learning by participating in two virtual collaborative sessions with classmates, facilitated by UWEBC Information Technology Practice Director Heidi Rozmiarek, to share and discuss experiences around applying the approaches and methods learned in the Boot Camp.

UWEBC membership was not required to participate in this Boot Camp.


Three full-day, in-person sessions, on the UW-Madison campus:

  • December 12-14, 2022, 9:00am-4:00pm each day, with optional breakfast at 8:00am

This Boot Camp has concluded.

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  • Define process mining and automation
  • Prepare software tools and datasets

Process Fundamentals

  • Define a process
  • Distinguish between a process and a project
  • Define the goals of process management

Process Mapping

  • Create physical and digital process maps
  • Interpret process maps and symbols
  • Explore common pitfalls of process mapping

Process Mining

  • Explore the fundamentals of process mining
  • Mine event logs using process mining software
  • Identify deviations, rework, and bottlenecks

Process Improvement

  • Explain the basics of lean and six sigma
  • Apply the process improvement lifecycle
  • Identify and address waste in processes

Process Automation

  • Explore the fundamentals of Robotic Process Automation (RPA)
  • Automate various processes using RPA software
  • Quantify the benefits of the automation

Software Tools Used

  • UiPath
  • Celonis
  • Lucidchart
  • Microsoft Excel

Benefits and Outcomes

  • Learn core skills and best practices for improving and optimizing your business’s performance with process mining and robotic process automation (RPA).
  • Gain exposure to popular tools for process mining and automation.
  • Six modules presented over three days, allowing for concentrated, focused learning.
  • Engage with instructor and fellow participants in a dynamic in-person workshop setting.
  • Fortify learning via facilitated experience-sharing and discussion with fellow participants after completion of classroom sessions.

Learn from the best in the field


Cody Baldwin

Cody Baldwin is Director of the Master’s in Business Analytics (MSBA) program at the University of Wisconsin-Madison. In addition to overseeing the program, he teaches courses in analytics, cloud computing, data warehousing, statistics, programming, and robotic process automation. Prior to joining UW-Madison, Cody was an assistant professor at Brigham Young University-Hawaii, where he taught courses in business analytics, project management, and process improvement. He also led the undergraduate business program, which had more than 900 students. Before entering academia, Cody worked at HP, where he was a Senior Project Manager leading several big data and analytics projects, managing teams across 6 countries on a $60 million-dollar analytics portfolio.

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Location and Accomodations

The in-person classroom sessions will take place at:

UW-Madison Pyle Center
702 Langdon St
Madison, WI 53706

These hotels are within easy walking distance of the Pyle Center. Book a room early to ensure availability!

UW-Madison Fluno Center Hotel
601 University Ave Madison, WI 53715

Graduate Madison
601 Langdon St Madison, WI 53703

Hampton Inn & Suites Madison/Downtown
440 W Johnson St Madison, WI 53703

Questions about this Boot Camp?

Heidi Rozmiarek

Position title: Information Technology Practice Director


Phone: 608-890-1291