Enhancing business intelligence traceability through an integrated metadata framework Chee, Chin-Hoong, Yeoh, William and Gao, Shijia 2011, Enhancing business intelligence traceability through an integrated metadata framework, in ACIS 2011 : Proceedings of the 22nd Australasian Conference on Information Systems : Identifying the Information Systems Discipline, ACIS, [Sydney, N.S.W.], pp. 1-11. Attached Files Name Description MIMEType Size Downloads yeoh-enhancingbusiness-2011.pdf Published version application/pdf 927.36KB 193 Title Enhancing business intelligence traceability through an integrated metadata framework Author(s) Chee, Chin-Hoong Yeoh, William orcid.org/0000-0002-2964-4518 Gao, Shijia Conference name Australasian Conference on Information Systems (22nd : 2011 : Sydney, N.S.W.) Conference location Sydney, N.S.W. Conference dates 29 Nov.-2 Dec. 2011 Title of proceedings ACIS 2011 : Proceedings of the 22nd Australasian Conference on Information Systems : Identifying the Information Systems Discipline Editor(s) [unknown] Publication date 2011 Conference series Australasian Conference on Information Systems Start page 1 End page 11 Total pages 11 Publisher ACIS Place of publication [Sydney, N.S.W.] Keyword(s) Business Intelligence Metadata Business Process Modeling Notation (BPMN) Information Product Map (IP-Map) Design Science Summary The Business Intelligence (BI) system provides users with multi-dimensional information (so-called BI product) to support their decision-making. However, very often business users still could not fully understand the BI product, nor have a clear picture of the entire information manufacturing chain of the BI product. In response to this situation, this paper presents an integrated metadata framework (“BIP-Map”) to facilitate the traceability and accountability of a BI product following the design science research approach. Specifically, the salient modelling and management techniques from the business process modelling notation (BPMN), the information product map (IP-Map), and the metadata management are adapted to construct a three-layered integrated metadata framework enabling the business users to make timely and informed decisions. A BIP-Map informed prototype system has been developed in collaboration with online job recruitment firms. The authors conducted in-depth interviews with seven key BI stakeholders of the recruitment firms to evaluate the usefulness of the BIP-Map. It is envisaged that the metadata framework allows the technical personnel to understand the business processes that relate to certain information provided in the BI reports. Business users will also be able to gain insights into the logic behind any BI report. Notes Reproduced with the kind permission of the copyright owner. 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, ACIS Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30041746 Document type: Conference Paper Collections: Faculty of Business and Law School of Information and Business Analytics Open Access Collection   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, 15:33:45 EST Wed, 01 Feb 2012, 14:58:53 EST Wed, 01 Feb 2012, 15:04:21 EST Wed, 01 Feb 2012, 15:05:17 EST Wed, 01 Feb 2012, 15:06:41 EST Tue, 04 Jun 2013, 14:13:26 EST Wed, 12 Jun 2013, 09:40:07 EST Mon, 28 Oct 2013, 08:12:46 EST Wed, 21 Oct 2015, 14:24:43 EST Tue, 06 Sep 2016, 18:11:16 EST Tue, 05 Dec 2017, 12:28:30 EST Fri, 07 Sep 2018, 15:42:13 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 909 Abstract Views, 194 File Downloads  -  Detailed Statistics Created: Mon, 23 Jan 2012, 15:33:32 EST by Katrina Fleming