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Process Mining in Action

Principles, Use Cases and Outlook

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This book explores process mining use cases and their business impact across the value chain, showcasing state-of-the-art domain expertise. It includes industrial case studies and best practices, complementing existing academic literature. By addressing challenges and failures, it provides practical insights to help readers avoid pitfalls and achieve successful operational deployment. The content is structured into three parts. Part I introduces fundamental principles, key success factors, and operational use cases, making it especially beneficial for those new to the topic. Part II features detailed use cases from various functions and industries, offering real-world applications. Finally, Part III discusses the future of process mining from both academic and operational viewpoints. With a strong academic foundation, process mining is gaining traction in operational businesses, with many companies already benefiting from its implementation. As the first comprehensive overview of successful industrial applications, this book is essential for professionals eager to explore the opportunities this technology presents. It also serves as a valuable resource for researchers seeking empirical results to inform their considerations for enhancements and further developments.

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Process Mining in Action, Lars Reinkemeyer

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Released
2020
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Title
Process Mining in Action
Subtitle
Principles, Use Cases and Outlook
Language
English
Publisher
Springer
Released
2020
Format
Hardcover
Pages
229
ISBN10
3030401715
ISBN13
9783030401719
Series
Rating
3.9 out of 5
Description
This book explores process mining use cases and their business impact across the value chain, showcasing state-of-the-art domain expertise. It includes industrial case studies and best practices, complementing existing academic literature. By addressing challenges and failures, it provides practical insights to help readers avoid pitfalls and achieve successful operational deployment. The content is structured into three parts. Part I introduces fundamental principles, key success factors, and operational use cases, making it especially beneficial for those new to the topic. Part II features detailed use cases from various functions and industries, offering real-world applications. Finally, Part III discusses the future of process mining from both academic and operational viewpoints. With a strong academic foundation, process mining is gaining traction in operational businesses, with many companies already benefiting from its implementation. As the first comprehensive overview of successful industrial applications, this book is essential for professionals eager to explore the opportunities this technology presents. It also serves as a valuable resource for researchers seeking empirical results to inform their considerations for enhancements and further developments.