MULTIDIMENSIONAL REFERENCE MODELS FOR DATA WAREHOUSE DEVELOPMENT

Matthias Goeken · Ralf Knackstedt

9 citations0/0 files storedInternational Conference on Enterprise Information Systems

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Big Data and Business Intelligence Advanced Database Systems and Queries Semantic Web and Ontologies

Abstract

Abstract: In the area of Data Warehousing the importance of conceptual modelling increases as it gains the status of a critical success factor. Nevertheless the application of conceptual modelling in practice often remains undone, due to time and cost restrictions. Reference models seem to be a suitable solution for this problem as they provide generic models which can be easily adapted to specific problems and thus decrease the modelling outlay. This paper identifies the requirements for multidimensional modelling techniques whose fulfillment are a prerequisite for the construction of reference models. Referring to the ME/RM, the concrete implementation of these requirements will be illustrated. 1

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1997The balanced scorecard: Translating strategy into action 1992Valuation: Measuring and managing the value of companies 1998The Balanced Scorecard 1991The performance measurement manifesto.2005An Empirical Investigation of the Factors Affecting Data Warehousing Success 1996The data warehouse toolkit: practical techniques for building dimensional data warehouses 1998THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES 1997OLAP Solutions - Building Multidimensional Information Systems

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