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Matching of Process Data and Operational Data for a Deep Business Analysis

  • Sylvia Radeschütz
  • Bernhard Mitschang
  • Frank Leymann

Abstract

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 major business data sources is needed to analyze and optimize processes in a much more comprehensive scope. This paper introduces a framework that offers various alternatives for matching process data and operational data to obtain a consolidated data description.

Keywords

Interoperability for Enterprise Application Integration Architectures and platforms for interoperability Interoperability for integrated product and process modeling Ontology based methods and tools for interoperability Design methodologies for interoperable systems 

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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Sylvia Radeschütz
    • 1
  • Bernhard Mitschang
    • 1
  • Frank Leymann
    • 1
  1. 1.Universität StuttgartStuttgartGermany

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