Assessment of Data Warehouse Model Quality
Main Article Content
Abstract
Data Warehouse (DW)is always used in making strategic decisions thus ensuring its quality is very much crucial for any organization. Data Warehouse consists of huge and unorganized data. The information in Data Warehouse is needed to make important decisions; its quality is thus a matter of concern. The Data Warehouse quality can be improved in many aspects for example it can be improved by improving the quality of information it holds, can be further improved by improving the data Warehouse design, here in this paper we have surveyed about the impact of conceptual model metrics on Data Warehouse quality. There have been so many approaches to design the Data Warehouse from the conceptual, logical, and physical perspectives. In our point of view there is lack of objective indicators to guide the designers in obtaining an outstanding model that allow us to guarantee the quality of the DW. However only M. Serrano and M. Piattini had provided a set of empirically validated metrics to help the designers. The paper summarizes the set of metrics defined for DW conceptual models and their formal and empirical validation to assure their correctness.
Keywords: Data Warehouse, Multidimensional Modeling, Conceptual Model, Metrics, UML.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.