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Reinkemeyer L. (Ed.) Process Mining in Action: Principles, Use Cases and Outlook

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Reinkemeyer L. (Ed.) Process Mining in Action: Principles, Use Cases and Outlook
Springer, 2020. — 216 p. — ISBN: 978-3-030-40171-9.
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.
Process Mining in a Nutshell
How to Get Started
Purpose: Identifying the Right Use Cases
People: The Human Factor
Processtraces: Technology
Challenges, Pitfalls, and Failures
Process Mining, RPA, BPM, and DTO
Key Learnings
Siemens: Driving Global Change with the Digital Fit Rate in Order2Cash
Uber: Process Mining to Optimize Customer Experience and Business Performance
BMW: Process Mining @ Production
Siemens: Process Mining for Operational Efficiency in Purchase2Pay
athenahealth: Process Mining for Service Integrity in Healthcare
EDP Comercial: Sales and Service Digitization
ABB: From Mining Processes Towards Driving Processes
Bosch: Process Mining—A Corporate Consulting Perspective
Schukat: Process Mining Enables Schukat Electronic to Reinvent Itself
Siemens Healthineers: Process Mining as an Innovation Driver in Product Management
Bayer: Process Mining Supports Digital Transformation in Internal Audit
Telekom: Process Mining in Shared Services
Academic View: Development of the Process Mining Discipline
Business View: Towards a Digital Enabled Organization
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