Maier, Ronald (1998) Benefits and quality of data modelling - results of an empirical study. WIRTSCHAFTSINFORMATIK, 40 (2). pp. 130-140. ISSN 0937-6429
Full text not available from this repository.Abstract
In this paper the results of an empirical study about benefits and quality of data modelling are presented. First the deficits of existing approaches to the quality of data modelling and of empirical studies in relevant fields are pointed out. The main questions addressed are: Flow big is the share of companies that use data models? Who is responsible for data modelling! What are the main application areas for data modelling? How should data modelling projects be organised in order to make a profit! What is the size of project, departmental and enterprise data models actually in use! How can we tell a "good" from a "bad" data model! Based on the results of the empirical study a new approach to quality of data modelling is motivated which focusses on the design of the organisational context of data modelling.
| Item Type: | Article |
|---|---|
| Additional Information: | Band lag vor /gup |
| Uncontrolled Keywords: | application; cost-benefit-analysis; data model; data modelling; empirical analysis; organisation; quality |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) Informatics and Data Science > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 27 Feb 2023 11:37 |
| Last Modified: | 27 Feb 2023 11:37 |
| URI: | https://pred.uni-regensburg.de/id/eprint/50004 |
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