Abstract
Data-warehouse-systems are being more and more important for companies. They unite data stores with logical and conceptual models to support achieving business goals. No standards for developing a data-warehouse-system exist yet. In some papers new methodologies and process models are described which are useful for implementing a data-warehouse-system. One reason for the success of this discipline is the high volume of data. With the help of a data-warehouse-system companies can build an integrated, consistent and company-wide database, to which every employee has access to. Data-warehouse-systems collect the data from pre-systems and create an integrated form of data. The system also provides historic data for analysis purposes and is used as a decision-support system. This paper will describe the implementation of a data-warehouse-system in an international company which is a leading manufacturer of dental medical devices and will show the experience, benefits and problems on the way, by comparing other methodologies and case studies with this case. In addition, an analysis of success factors will be carried out, to analyze the critical success factors which exercise a significant influence over the project.
| Original language | German (Austria) |
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| Supervisors/Reviewers |
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| Publication status | Published - Sept 2015 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 503008 E-learning
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation
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