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.
“If your organization cares about operational performance and has a culture that thrives
on transparency, Process Mining is the answer to your prayers. And there is no better
source than this book to learn about what Process Mining is, how it's being used in
leading companies, and where it might go in the future.”
Thomas H. Davenport (Distinguished Professor, Babson College and Research Fellow,
MIT Initiative on the Digital Economy); Author of Process Innovation, Competing on
Anal
“Unlike the traditional plan-execution process improvement, Process Mining allows full
transparency of actual processes and activities. Process Mining in Action describes
principles, challenges and learnings from years of practice.”
Seungjin Whang (Professor of Operations, Information & Technology at Stanford
Graduate School of Business)
“This is a timely book that presents operational experiences and brings Process Mining
application problems to academic research communities. It inspires researchers to
further develop frameworks and techniques to tackle broader process analytics
challenges over multiple application domains in order to complement the fast growing
operational community.”
Jianwen Su (Professor of Computer Science at University of California, Santa Barbara)