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Multilevel Business Processes : Modeling and Data Analysis / by Christoph G. Schuetz

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: Wiesbaden ; s.l. : Springer Fachmedien Wiesbaden, 2015Edition: 1st ed. 2015Description: Online-Ressource (XXIV, 232 p. 42 illus, online resource)ISBN:
  • 9783658110840
Subject(s): Additional physical formats: 9783658110833 | Erscheint auch als: Multilevel Business Processes. Druck-Ausgabe Wiesbaden : Springer Fachmedien Wiesbaden GmbH, 2015. XXIV, 232 S.DDC classification:
  • 005.7
RVK: RVK: ST 601LOC classification:
  • QA75.5-76.95
DOI: DOI: 10.1007/978-3-658-11084-0Online resources:
Contents:
Core Metamodel for Multilevel ObjectsMultilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence.
Summary: Core Metamodel for Multilevel Objects -- Multilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence.Summary: 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.PPN: PPN: 1657862623Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXCS | ZDB-2-SCS
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