Artikel in Tagungsband INPROC-2008-05

Radeschütz, Sylvia; Mitschang, Bernhard; Leymann, Frank: Matching of Process Data and Operational Data for a Deep Business Analysis.
In: Proc. of the 4th International Conference on Interoperability for Enterprise Software and Applications (I-ESA 2008), Berlin, März 26-28, 2008..
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 171-182, englisch.
London: Springer-Verlag, März 2008.
DOI: 10.1007/978-1-84800-221-0_14.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.2.4 (Database Management Systems)

Efficient adaptation to new situations of a company's business and its business processes plays an important role for achieving advantages in competition to other companies. For an optimization of processes, a profound analysis of all relevant information in the company is necessary. Analyses typically specialize either on process analysis or on data warehousing of operational data. A consolidation of business data is needed, i.e. of internal process execution data and external operational data, in order to allow for interoperability between these major business data sources to analyze and optimize processes in a much more comprehensive scope. This paper introduces a framework that offers various data descriptions to reach an efficient matching of process data and operational data, and shows its enhancement compared to separate analyses and other matching approaches.

Volltext und
andere Links
IESA 2008
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Eingabedatum19. Dezember 2007
   Publ. Institut   Publ. Informatik