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.
"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)
Features and Benefits
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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