Comparative study of data quality dimension for data warehouse develoent : a survey

• Main Authors: Munawar, Munawar, Salim, Naomie, Ibrahim, Roliana
• Format: Conference or Workshop Item
• Published: 2012
• Subjects: TK7885-7895 Computer engineer. Computer hardware
• Online Access: http://eprints.utm.my/id/eprint/34030/; https://www.researchgate.net/publication/312495333_Comparative_Study_of_Data_Quality_Dimensions_for_Data_Warehouse_Development_A_Survey
• Institution: Universiti Teknologi Malaysia

Due to the increasing complexity of data warehouse (DW), continuous attention must be paid for evaluation of their quality throughout their design and development. DW quality depends on the quality of all requirements, conceptual, logical and physical models used for DW design. Therefore, identification of various data quality (DQ) dimensions in those phase of DW development are very much needed. In this paper, we surveyed and evaluated the literature related to the DQ dimension in every phase of DW development and proposed an integrated approach for incorporating DQ in DW development in order to minimize risk of DW project failure.