Process Mining in Action: Principles, Use Cases and Outlook

Process Mining in Action: Principles, Use Cases and Outlook
PDF
  • eBook:
    Process Mining in Action: Principles, Use Cases and Outlook
  • Author:
    Lars Reinkemeyer
  • Edition:
    1st ed. 2020 Edition
  • Categories:
  • Data:
    March 15, 2020
  • ISBN:
    3030401715
  • ISBN-13:
    9783030401719
  • Language:
    English
  • Pages:
    229 pages
  • Format:
    PDF

Book Description
This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment.

The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives.

Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments.

Content

Part I - Principles and Value of Process Mining
1. Process Mining in a Nutshell
2. How to Get Started
3. Purpose: Identifying the Right Use Cases
4. People: The Human Factor
5. Processtraces: Technology
6. Challenges, Pitfalls, and Failures
7. Process Mining, RPA, BPM, and DTO
8. Key Learnings

Part II - Best Practice Use Cases
9. Siemens: Driving Global Change with the Digital Fit Rate in Order2Cash
10. Uber: Process Mining to Optimize Customer Experience and Business Performance
11. BMW: Process Mining @ Production
12. Siemens: Process Mining for Operational Efficiency in Purchase2Pay
13. athenahealth: Process Mining for Service Integrity in Healthcare
14. EDP Comercial: Sales and Service Digitization
15. ABB: From Mining Processes Towards Driving Processes
16. Bosch: Process Mining—A Corporate Consulting Perspective
17. Schukat: Process Mining Enables Schukat Electronic to Reinvent Itself
18. Siemens Healthineers: Process Mining as an Innovation Driver in Product Management
19. Bayer: Process Mining Supports Digital Transformation in Internal Audit
20. Telekom: Process Mining in Shared Services

Part III - Outlook: Future of Process Mining
21. Academic View: Development of the Process Mining Discipline
22. Business View: Towards a Digital Enabled Organization

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