Overview
- First book to present an overview of successful industrial experiences of process mining
- Operational experts describe use cases and business impact along the whole value chain
- Discusses the challenges, lessons learned and failures in order to provide guidance on how to avoid pitfalls and ensure successful operational deployment
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Table of contents (22 chapters)
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Part II
Keywords
About this book
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 ofprocess 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.
Reviews
“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)
Editors and Affiliations
About the editor
Lars Reinkemeyer joined Siemens AG in 1994, right after he earned a Master degree in Business Administration and a PhD from the University of Cologne, from which he graduated summa cum laude. He joined Siemens as Product- and Regional Manager and was delegated to Siemens Australia as International Account Manager in 1996. In 1998, he signed on asGeneral Manager at Oztrak Europe GmbH, gaining some hands-on start-up experiences. In 2000, he joined Atoss Software AG as a Director of International Sales. Dr. Reinkemeyer rejoined Siemens AG in 2001, where he held various international leadership positions in strategy, compliance and IT. He is a guest speaker at Stanford Graduate School of Business and regular speaker on international conferences.
Bibliographic Information
Book Title: Process Mining in Action
Book Subtitle: Principles, Use Cases and Outlook
Editors: Lars Reinkemeyer
DOI: https://doi.org/10.1007/978-3-030-40172-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40171-9Published: 15 March 2020
Softcover ISBN: 978-3-030-40174-0Published: 15 March 2021
eBook ISBN: 978-3-030-40172-6Published: 14 March 2020
Edition Number: 1
Number of Pages: XXII, 207
Number of Illustrations: 8 b/w illustrations, 79 illustrations in colour
Topics: Computer Appl. in Administrative Data Processing, Business Process Management, Information Systems Applications (incl. Internet), Big Data/Analytics, Big Data, Data Mining and Knowledge Discovery