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.
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Enhancing business intelligence traceability through an integrated metadata framework
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.
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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