Abstract
As a decision support information system, a data warehouse must provide high level quality of data and quality of service. In the DWQ project we have proposed an architectural framework and a repository of metadata which describes all the data warehouse components in a set of metamodels to which is added a quality metamodel, defining for each data warehouse metaobject the corresponding relevant quality dimensions and quality factors. Apart from this static definition of quality, we also provide an operational complement, that is a methodology on how to use quality factors and to achieve user quality goals. This methodology is an extension of the Goal-Question-Metric (GQM) approach, which allows to capture (a) the inter-relationships between different quality factors and (b) to organize them in order to fulfil specific quality goals. After summarizing the DWQ quality model, this paper describes the methodology we propose to use this quality model, as well as its impact on the data warehouse evolution.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
P.A. Bernstein, Th. Bergstraesser, J. Carlson, S. Pal, P. Sanders, D. Shutt. Microsoft Repository Version 2 and the Open Information Model. Information Systems 24(2), 1999.
V. R. Basili, G. Caldiera, H. D. Rombach. The Goal Question Metric Approach. Encyclopedia of Software Engineering–2 Volume Set, pp 528–532, John Wiley & Sons, Inc., available at http://www.cs.umd.edu/users/basili/papers.html, 1994
D. H. Besterfield, C. Besterfield-Michna, G. Besterfield, M. Besterfield-Sacre, Total Quality Management, Prentice Hall, 1995
M. Bouzeghoub, F. Fabret, M. Matulovic, E. Simon. Data Warehouse Refreshment: A Design Perspective from Quality Requirements. Tech. Rep. D 8.5, DWQ Consortium, 1998.
E. B. Dean, "Quality Functional Deployment from the Perspective of Competitive Advantage", available at http://mijuno.larc.nasa.gov/dfc/qfd.html, 1997
M. Jarke, M.A. Jeusfeld, C. Quix, P. Vassiliadis: Architecture and Quality in Data Warehouses, In Proc. CAiSE 98, Pisa, Italy, 1998.
M.A. Jeusfeld, C. Quix, M. Jarke: Design and Analysis of Quality Information for Data Warehouses. In Proc. 17th Intl. Conf. on the Entity Relationship Approach (ER’98), Singapore, 1998.
M. Jarke, Y. Vassiliou. Foundations of data warehouse quality–a review of the DWQ project. In Proc. 2 nd Intl. Conference Information Quality (IQ-97), Cambridge, Mass., 1997.
Metadata Coalition: Meta Data Interchange Specification, (MDIS Version 1.1), August 1997, available at http://www.he.net/~metadata/standards/.
M. Oivo, V. Basili: Representing software engineering models: the TAME goal-oriented approach. IEEE Transactions on Software Engineering, 18, 10, 1992.
K. Orr. Data quality and systems theory. In Communications of the ACM, 41,2, Feb. 1998.
C. Quix, M. Jarke, M. Jeusfeld, M. Bouzeghoub, D. Calvanese, E. Franconi, M. Lenzerini, U. Sattler, P. Vassiliadis. Quality Oriented Data Warehouse Evolution. Tech. Rep. D9.1, DWQ Consortium, 1998.
G. K. Tayi, D. P. Ballou: Examining Data Quality. In Com. of the ACM, 41,2, Feb. 1998.
R. Y. Wang. A product perspective on total data quality management. In Com. of the ACM, 41,2, Feb. 1998.
R.Y. Wang, H.B. Kon, S.E. Madnick. Data Quality Requirements Analysis and Modeling. Proc. 9th Intl. Conf. on Data Engineering, IEEE Computer Society, Vienna, Austria, 1993.
R.Y. Wang, V.C. Storey, C.P. Firth. A Framework for Analysis of Data Quality Research. IEEE Transactions on Knowledge and Data Engineering, Vol. 7,No. 4, August 1995.
R.Y. Wang, D. Strong, L.M. Guarascio. Beyond Accuracy: What Data Quality Means to Data Consumers. Technical Report TDQM-94-10, Total Data Quality Management Research Program, MIT Sloan School of Management, Cambridge, Mass., 1994.
Y. Wand, R.Y. Wang. Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, Vol. 39,No. 11, November 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vassiliadis, P., Bouzeghoub, M., Quix, C. (1999). Towards Quality-Oriented Data Warehouse Usage and Evolution. In: Jarke, M., Oberweis, A. (eds) Advanced Information Systems Engineering. CAiSE 1999. Lecture Notes in Computer Science, vol 1626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48738-7_13
Download citation
DOI: https://doi.org/10.1007/3-540-48738-7_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66157-3
Online ISBN: 978-3-540-48738-8
eBook Packages: Springer Book Archive