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Process Analytics

Concepts and Techniques for Querying and Analyzing Process Data

  • Seyed-Mehdi-Reza Beheshti
  • Boualem Benatallah
  • Sherif Sakr
  • Daniela Grigori
  • Hamid Reza Motahari-Nezhad
  • Moshe Chai Barukh
  • Ahmed Gater
  • Seung Hwan Ryu

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 1-18
  3. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 19-60
  4. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 61-90
  5. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 91-106
  6. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 107-134
  7. Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh et al.
    Pages 135-150
  8. Back Matter
    Pages 151-178

About this book

Introduction

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes.

The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications.

The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

Keywords

BPM-Business Process Management Process Analytics Process Mining Big Data OLAP-Online Analytical Processing BPMN Query Processing Process Monitoring

Authors and affiliations

  • Seyed-Mehdi-Reza Beheshti
    • 1
  • Boualem Benatallah
    • 2
  • Sherif Sakr
    • 3
  • Daniela Grigori
    • 4
  • Hamid Reza Motahari-Nezhad
    • 5
  • Moshe Chai Barukh
    • 6
  • Ahmed Gater
    • 7
  • Seung Hwan Ryu
    • 8
  1. 1.The University of New South WalesSydneyAustralia
  2. 2.The University of New South WalesSydneyAustralia
  3. 3.The University of New South WalesSydneyAustralia
  4. 4.Laboratoire LAMSADEUniversité Paris DauphineParisFrance
  5. 5.IBM Almaden Research CenterSAN JOSEUSA
  6. 6.The University of New South WalesSydneyAustralia
  7. 7.IkayrosParisFrance
  8. 8.The University of New South WalesSydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25037-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25036-6
  • Online ISBN 978-3-319-25037-3
  • Buy this book on publisher's site