Proactive Data Quality Management for Data Warehouse Systems - A Metadata based Data Quality System
Type
conference paper
Date Issued
2002
Author(s)
Helfert, Markus
;
Herrmann, Clemens
Research Team
IWI1, DW2
Abstract
Data warehousing has captured the attention of practitioners and researchers for a long time, whereas aspects of data quality is one of the crucial issues in data warehousing. Still, ensuring high level data quality is one of the most expensive and time-consuming tasks to perform in data warehousing projects. Many data warehouse projects are discontinued due to insufficient data quality. The following article describes an approach for managing data quality in data warehouse systems through a metadata based data quality system. The results are integrated in a comprehensive management approach and are based on practical experiences within a Swiss bank.
Language
English
Keywords
Data Warehouse
Datenqualität
Datenqualitätsmanagement
HSG Classification
not classified
Refereed
No
Book title
Proceedings 4th International Workshop on Design and Management of Data Warehouses (DMDW'2002)
Publisher
University of Toronto Bookstores
Publisher place
Toronto, Ontario, Canada
Start page
97
End page
106
Pages
10
Event Title
4th International Workshop on Design and Management of Data Warehouses (DMDW'02)
Event Location
Toronto, Ontario, Canada
Event Date
27.-31.05.2002
Subject(s)
Division(s)
Eprints ID
213765
File(s)![Thumbnail Image]()
Name
herrmann.pdf
Size
398.49 KB
Format
Adobe PDF
Checksum (MD5)
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