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Full-Text Articles in Management Information Systems
Comparing The Understandability Of Alternative Data Warehouse Schemas: An Empirical Study, David Schuff, Karen Corral, Ozgur Turetken
Comparing The Understandability Of Alternative Data Warehouse Schemas: An Empirical Study, David Schuff, Karen Corral, Ozgur Turetken
IT and Supply Chain Management Faculty Publications and Presentations
An easily understood data warehouse model enables users to better identify and retrieve its data. It also makes it easier for users to suggest changes to its structure and content. Through an exploratory, empirical study, we compared the understandability of the star and traditional relational schemas. The results of our experiment contradict previous findings and show schema type did not lead to significant performance differences for a content identification task. Further, the relational schema actually led to slightly better results for a schema augmentation task. We discuss the implications of these findings for data warehouse design and future research.
A Structural Model Of Data Warehousing Success, Hongjiang Xu, Mark I. Hwang
A Structural Model Of Data Warehousing Success, Hongjiang Xu, Mark I. Hwang
Hongjiang Xu
Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. Furthermore, no model is available for comparing and evaluating the various claims made in different studies. In order to better understand the critical success factors and their effects on data warehousing success, a research model is developed in this paper. This model is useful for comparing findings across studies and for selecting variables for future research. The model is tested using …
The Effect Of Implementation Factors On Data Warehousing Success: An Exploratory Study, Hongjiang Xu, Mark I. Hwang
The Effect Of Implementation Factors On Data Warehousing Success: An Exploratory Study, Hongjiang Xu, Mark I. Hwang
Hongjiang Xu
Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. In order to better understandimplementation factors and their effect on data warehousing success, perceptions of data warehousing professionals are examined in a cross sectional survey. Best subsets regression is used to identify the specific factors that are important to each success variable. Since different companies may have different objectives or emphases in their data warehousing endeavors, the results are useful in …