Introduction to RPA and Process Mining and Linkage

Learn the essential core principles of RPA & Process Mining !

Topic Introduction 📝

This lecture covers RPA (Robotic Process Automation) and Process Mining technologies, which have recently attracted great interest from domestic and foreign companies, as well as how to link the two technologies .

Why you should learn ✒️

Hyperautomation was selected as the first technology trend among Gartner's Top 10 Strategic Technology Trends for 2020.

According to Gartner, hyperautomation can be achieved through CoRPA (Complemented RPA) . CoRPA integrates RPA with process mining, machine learning, analytics, user experience (UX/CX), and ingestion engines .

Therefore, those who take this course, which covers the introduction and connection between RPA and Process Mining, will be able to learn very promising technologies and obtain good job opportunities .

^{[Reference] Average annual salary by RPA job category in the US (Source: Indeed.com)}

What you will learn in this course ✏️

This course covers RPA concepts and core principles, practical RPA development and logging methods through case studies, and key issues when introducing RPA into an organization.

You'll also learn the concepts, core principles, and unique value of Process Mining through hands-on practice. You'll also learn three ways to connect RPA and Process Mining, all while practicing.

Course Features and Benefits 💡

The features and benefits of the course are as follows:

• We referenced and reflected the latest educational materials from domestic and international RPA solution and Process Mining solution companies.
• The content covered in this lecture is applicable to all RPA solutions.
• We are utilizing various datasets from domestic and foreign companies for process mining practice.
• This is the first lecture in Korea to cover the link between RPA and Process Mining.

Introduction by section 📖

Section 0: Introducing the lecture, tools, and data

• Understand the curriculum and learning objectives for the entire course, and understand the RPA and process mining tools and data utilized in the course.

Section 1: Understanding the Importance of RPA and Process Mining

• Understand the importance and trends of RPA and process mining.

Section 2: Understanding RPA Concepts

• Understand the concept and core features of RPA, and learn about the effects and cases of RPA adoption.

Section 3: Practicing Software Robot Development

• Learn RPA structure and S/W robot logging through hands-on practice, and practice S/W robot development.

Section 4: Implementing RPA into Your Organization

• Understand the key issues and checklists when introducing RPA to your organization, and learn the essentials of selecting the right RPA process.

Section 5: Scaling RPA to Your Organization

• Learn about the data and process challenges faced when scaling RPA across your organization, and understand how to overcome them.

Section 6: Understanding the Concepts and Principles of Process Mining

• Learn the concepts and principles of process mining and understand the types of processes that can be analyzed with process mining.

Section 7: Understanding the Differentiating Value of Process Mining

• Learn the differentiated value of Process Myni (deriving diverse perspectives and analyzing process variability and complexity) through hands-on experience.

Section 8: Analyzing IT System Logs Using Process Mining

• Understand the significance of IT system log analysis and its value in RPA, and learn analysis methods through process mining analysis practice.

Section 9: Analyzing User Interface (UI) Logs Using Process Mining

• Understand the meaning of UI log analysis and its value in terms of RPA, and learn how to create and refine UI logs and analyze them through hands-on practice.

Section 10: Analyzing Software Robot Logs Using Process Mining

• Learn how to utilize log analysis recorded by S/W robots and design custom logs.

Tools covered here 🧰

RPA Tool: GridOne AutomateOne ezbot (Available OS: Windows)
AutomateOne is a proven RPA solution adopted by over 100 domestic companies.

Process Mining Tool: Fluxicon's Disco (available for Windows or Mac OS)
Disco, supplied by PMIG in Korea, is used by over 200 companies worldwide (including DHL, Volkswagen, Audi, Microsoft, AIG, and Airbus) and is a proven process mining solution utilized in thousands of process mining projects. In Korea, Disco is used by Kakao, Hyundai Transys, Daewoo Shipbuilding & Marine Engineering, Prudential, NICE Information Services, and Changshin Inc. It has also successfully analyzed tens of millions of data points in process mining projects for the Ministry of Health and Welfare and the National Election Commission.

Expected Questions Q&A 🙋🏻‍♂️

Q. Can non-majors also take the course?
A. Non-majors can also take the course.

Q. What program do you use in this course?
A. RPA program: GridOne's AutomateOne ezbot (UiPath was used to demonstrate the RPA solution structure), Process Mining program: Disco
[Note: The key content covered in this lecture can be applied to all RPA solutions.]

Q. Do I need a separate license to use the program?
A. AutomateOne ezbot: Download from the GridOne homepage (www.gridone.co.kr) and use it for free for one month. Disco: FBT files used for practice (files converted from CSV files so that they can be used without a license) can be used for free without a separate license.

Q. Please tell us what prompted you to start this course.
A. In fact, Process Mining was already being used in businesses before the introduction of RPA. In early 2018, when I was teaching a Process Mining course to corporate employees, a participant from a large IT company said he had attended an overseas RPA conference and heard a presentation suggesting Process Mining was necessary before implementing RPA, which led him to take the course.
While there are some domestic courses covering development using specific RPA solutions, there are no domestic courses covering RPA or the link between RPA and Process Mining, which is why I started this course.