Title :
Data quality comparative model for data warehouse
Author :
Sidi, Fatimah ; Ramli, Abdullah ; Jabar, Marzanah A. ; Affendey, Lilly Suriani ; Mustapha, Aida ; Ibrahim, Hamidah
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
The growth of daily data and complexity in data warehouse with enhanced the information technology has created new challenges for information user. The demand for quality data has increase an awareness of the quality, reliable and accuracy of information in making fast and reliable decision-making. Nowadays, many organizations are depending on their resources in data warehouse. As that matter of fact, the qualities of data warehouse are greatly concern. The poor and error data will cause more trouble in data warehouse as data accessed from the same resources by the user. Here we present the systematic review comparative model to determine the data quality model as further research in our studies.
Keywords :
data analysis; data warehouses; decision making; information retrieval; data access; data quality comparative model; data warehouse; decision making; information accuracy; information technology; information user; organization; Accuracy; Complexity theory; Data models; Data warehouses; Organizations; Quality management; data quality; data quality dimension; data quality management; data warehouses;
Conference_Titel :
Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1091-8
DOI :
10.1109/InfRKM.2012.6204987
