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.
