Business Intelligence (BI) is a well-established term for methods, concepts and tools to retrieve, store, deliver and analyze data for management and business purposes. Although collaboration across company borders has substantially increased over the past decades, little research has been conducted specifically on Cross-Company BI (CCBI). In this thesis, a working definition and distinction from general collaborative decision making is proposed. Based on a reference model that takes existing research and related approaches of adjacent fields into account a peer-to-peer network design is created. With an extensive simulation and parameter testing it is shown that the design proves valuable and competitive to centralized approaches and that obtaining a critical mass of participants leads to improved usefulness of the network. To quantify the observations, appropriate quality measures rigorously derived from respected concepts on data and information quality and multidimensional data models are introduced and validated.
|Advisor:||Chamoni , Peter|
|School:||Universitaet Duisburg-Essen (Germany)|
|Source:||DAI-C 81/1(E), Dissertation Abstracts International|
|Subjects:||Business administration, Management, Information science|
|Keywords:||Cross-company business intelligence networks|
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