Explore the latest insights from Wil van der Aalst’s updated book on process mining, emphasizing data science applications and practical tools for business analysts and process managers.
A new blog post of MI-NAUTICS was published on May 26, 2021 with the original title:
Process Mining: Data Science in Action
Overview:
This second edition of Wil van der Aalst’s book provides a comprehensive guide to process mining within the context of data science and big data. Enhanced with updates and new chapters, it is designed for business process professionals and researchers alike.
Core content:
- This book covers essential topics in process mining, from discovery to predictive analytics, making it a valuable resource for multiple fields.
- It includes updates on inductive mining techniques, alignments, software tools, and addresses process mining at a large scale.
- The content is divided into six parts, facilitating a structured understanding of data science and process mining principles.
- Practical sections provide insight into applying process mining using both open-source and commercial tools, including ProM.
- It discusses challenges and fundamental perspectives within process mining that are relevant for practitioners and researchers.
Learnings:
- Readers will gain a deep understanding of the evolving field of process mining and its integration with data science.
- This book highlights practical applications and methodologies for effective business process modeling and analysis.
- Insights into software tools used for process mining equip readers with knowledge to select suitable options for their needs.
- Understanding the theoretical and practical aspects prepares readers to tackle existing challenges in process mining.
- Readers will be able to apply concepts learned to real-world business scenarios and enhance their analytical skills.
The original content was published in English.