DocumentCode :
2894508
Title :
Key issues in achieving data quality and consistency in data warehousing among large organisations in Australia
Author :
Rudra, A. ; Yeo, E.
Author_Institution :
Sch. of Inf. Syst., Curtin Univ. of Technol., Perth, WA, Australia
Volume :
Track7
fYear :
1999
fDate :
5-8 Jan. 1999
Abstract :
This paper discusses the emergent key issues of data quality in a data warehousing environment. The research study leading to our outcome is described. We investigate the relationship between data quality and data consistency; determine whether data inconsistencies are present in data warehouses and explore how organization ensure, plan and maintain data quality. Our research outcome-an improved understanding of how organizations can maintain data quality and consistency. We found that the quality of data in a data warehouse could be influenced by factors like: data not fully captured, heterogeneous system integration and lack of policy and planning from management.
Keywords :
business data processing; data integrity; data warehouses; Australia; data consistency; data quality; data warehousing; heterogeneous system integration; Australia; Data warehouses; Databases; Decision making; Decision support systems; Hip; Information analysis; Information systems; Programmable logic arrays; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
Conference_Location :
Maui, HI, USA
Print_ISBN :
0-7695-0001-3
Type :
conf
DOI :
10.1109/HICSS.1999.772757
Filename :
772757
Link To Document :
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