Data quality management in a business intelligence environment : from the lens of metadata Verbitskiy, Yuriy and Yeoh, William 2011, Data quality management in a business intelligence environment : from the lens of metadata, in ICIQ 2011 : Proceedings of 16th International Conference on Information Quality, University of South Australia, Adelaide, S. Aust.. Attached Files Name Description MIMEType Size Downloads verbitskiy-dataquality-2011.pdf Published version application/pdf 356.37KB 251 Title Data quality management in a business intelligence environment : from the lens of metadata Author(s) Verbitskiy, Yuriy Yeoh, William orcid.org/0000-0002-2964-4518 Conference name International Conference on Information Quality (16th. 2011 : Adelaide, S. Aust.) Conference location Adelaide, S. Aust. Conference dates 18-19 Nov. 2011 Title of proceedings ICIQ 2011 : Proceedings of 16th International Conference on Information Quality Editor(s) [unknown] Publication date 2011 Conference series International Conference on Information Quality Publisher University of South Australia Place of publication Adelaide, S. Aust. Keyword(s) data quality metadata business intelligence Summary Business Intelligence is becoming more pervasive in many large and medium-sized organisations. Being a long term undertaking Business Intelligence raises many issues that an organisation has to deal with in order to improve its decision making processes. Data quality is one of the main issues exposed by Business Intelligence. Within the organisation data quality can affect attitudes to Business Intelligence itself, especially from the business users group. Comprehensive management of data quality is a crucial part of any Business Intelligence endeavour. It is important to address all types of data quality issues and come up with an all-in-one solution. We believe that extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. Moreover, metadata has a more broad application for improving the Business Intelligence environment. Upon identifying the sources of data quality issues in Business Intelligence we propose a concept of data quality management by means of metadata framework and discuss the recommended solution. Language eng Field of Research 080699 Information Systems not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2011, University of South Australia Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30041748 Document type: Conference Paper Collections: Faculty of Business and Law School of Information and Business Analytics Open Access Collection Related Links Link Description Connect to conference website Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 23 Jan 2012, 15:52:11 EST Fri, 27 Jan 2012, 15:38:11 EST Fri, 27 Jan 2012, 15:42:08 EST Mon, 30 Jan 2012, 07:27:13 EST Tue, 31 Jan 2012, 08:11:09 EST Tue, 04 Jun 2013, 14:13:32 EST Wed, 12 Jun 2013, 09:41:41 EST Mon, 28 Oct 2013, 09:11:53 EST Mon, 28 Oct 2013, 09:12:23 EST Sat, 17 Jun 2017, 03:08:59 EST Tue, 05 Dec 2017, 12:28:30 EST Fri, 07 Sep 2018, 15:42:14 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 960 Abstract Views, 252 File Downloads  -  Detailed Statistics Created: Mon, 23 Jan 2012, 15:51:54 EST by Katrina Fleming