| ISBN: DOI:10.1007/978-1-84800-221-0_14
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| |
| description |
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.
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| publisher |
London: Springer-Verlag
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| type |
Text
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| Article in Proceedings
|
| source |
In: Proc. of the 4th International Conference on Interoperability
for Enterprise Software and Applications (I-ESA 2008), Berlin, März
26-28, 2008., pp. 171-182
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| contributor |
Institut für Architektur von Anwendungssystemen
(IAAS)
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| IPVS, Anwendersoftware
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| subject |
Database Management Systems (CR H.2.4)
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