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Multilevel Business Processes = Modeling and Data Analysis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multilevel Business Processes/ by Christoph G. Schuetz.
Reminder of title:	Modeling and Data Analysis /
Author:	G. Schuetz, Christoph.
Description:	XXIV, 232 p. 42 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computers. -
Online resource:	https://doi.org/10.1007/978-3-658-11084-0
ISBN:	9783658110840

Multilevel Business Processes = Modeling and Data Analysis /
G. Schuetz, Christoph.

Multilevel Business ProcessesModeling and Data Analysis /[electronic resource] :by Christoph G. Schuetz. - 1st ed. 2015. - XXIV, 232 p. 42 illus.online resource.

Core Metamodel for Multilevel Objects -- Multilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence.

Christoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for quantitative business process analysis. Multilevel models reflect the reality of many information systems. In this respect process-aware information systems are no exception. Multilevel models capture interdependencies between business processes at different organizational levels and allow for a convenient representation of business process variability which, in turn, facilitates the analysis of business processes across different organizational units. Contents Core Metamodel for Multilevel Objects Multilevel Business Artifacts Hetero-Homogeneous Business Process Models Multilevel Business Process Automation Multilevel Business Process Intelligence Target Groups Researchers and students in business informatics, computer science, and business administration. Business process management professionals The Author Christoph G. Schuetz is a postdoctoral researcher at the Department of Business Informatics – Data & Knowledge Engineering of the Johannes Kepler University Linz, Austria. His research interests include data warehousing, semantic web, business process management, and data privacy.

ISBN: 9783658110840

Standard No.: 10.1007/978-3-658-11084-0doiSubjects--Topical Terms:

565115
Computers.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 005.7

Multilevel Business Processes = Modeling and Data Analysis /
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