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A Metadata-based Approach to Leveraging the Information Supply of Business Intelligence Systems

Title data

Mosig, Benjamin ; Röglinger, Maximilian:
A Metadata-based Approach to Leveraging the Information Supply of Business Intelligence Systems.
In: Atzeni, Paolo ; Cheung, David ; Ram, Sudha (ed.): Conceptual Modeling : 31st International Conference ER 2012, Florence, Italy, October 15-18, 2012. Proceedings. - Berlin : Springer , 2012 . - (Lecture Notes in Computer Science ; 7532 )
ISBN 978-3-642-34001-7
DOI: https://doi.org/10.1007/978-3-642-34002-4_43

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Abstract in another language

Ensuring adequate information provision continues to be a key challenge of corporate decision making and the usage of business intelligence systems. As a matter of fact, the situation becomes increasingly paradox: Whereas decision makers struggle to specify their information requirements and spend much time on obtaining the information they believe to require, the amount of information supplied by business intelligence systems grows at a speed that makes it hard to keep track. Thus, it is very likely that the required information or suitable alternatives are available, but neither found nor used. Instead, manual searching causes considerable opportunity cost. Existing approaches to in-formation requirements analysis pay attention to incorporate information sup-ply, but do not provide means for leveraging it in a systematic and IT supported manner. As a first step to close this research gap, we propose a metadata-based approach consisting of a procedure model and formalism that help identify a suitable subset of the information supplied by an existing business intelligence system. The formalism is specified using set theory and first-order logic to pro-vide a general foundation that may be integrated into different conceptual modelling approaches

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Business intelligence; Data warehouse; Metadata; Information pro-vision; Information supply
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 08 Apr 2015 07:17
Last Modified: 19 May 2017 08:14
URI: https://eref.uni-bayreuth.de/id/eprint/8261