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IBIMA Publishing Communications of the IBIMA http://www.ibimapublishing.com/journals/CIBIMA/cibima.html Vol. 2011 (2011), Article ID 417812, 11 pages DOI: 10.5171/2011.417812

A Maturity Model of Enterprise Business Intelligence
Chee-Sok Tan1, Yee-Wai Sim1 and William Yeoh2
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Faculty of Information and Communication Technology, University Tunku Abdul Rahman, Perak, Malaysia
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School ofInformation Systems, Deakin University, Victoria, Australia __________________________________________________________________________________ Abstract The implementation of an enterprise-level business intelligence initiative is a large-scale and complex undertaking, involving significant expenditure and multiple stakeholders over a lengthy period. It is therefore imperative to have systematicguidelines for business intelligence stakeholders in referring business intelligence maturity levels. Draw upon the prudent concepts of the Capability Maturity Model, this research proposes a multi-dimensional maturity model with distinct maturity levels for managing enterprise business intelligence initiatives. The maturity model, named Enterprise Business Intelligence Maturiy (EBIM), consists offive core maturity levels and four key dimensions, namely information quality, master data management, warehousing architecture, and analytics. It can be used to assist enterprises in benchmarking their business intelligence maturity level and identifying the critical areas to attain higher level of maturity. Keywords: Enterprise Business Intelligence, Maturity Model, Survey______________________________________________________________________________________________________________ Introduction Recently, business intelligence (BI) market has experienced high growth and BI technologies have consistently received attention by many Chief Information Officers (Gartner 2007; Gartner 2008; Gartner 2009). According to Wixom and Watson (2010), business intelligence is “a broad category oftechnologies, applications, and processes for gathering, storing, accessing, and analysing data to help its users make better decisions”. The major objective of a business intelligence application is to embrace “intelligent exploration, integration, aggregation and a multidimensional analysis of data originating from various information resources” (Olszak and Ziemba 2007). Hence, data is transformedfrom quantity to quality (Gangadharan and Swami 2004). In other words, information from many different sources is integrated into a coherent body for strategic planning and enhanced decision support. Meaningful information can be delivered at the right time, at the right location, and in the right form. As a result, business intelligence can be used to improve decision making process. The wholeenterprise business intelligence project planning and implementation always involve a significant amount of resources and various organisational stakeholders over a period of years (Wixom and Watson 2010). While the importance of business intelligence application is becoming more widely accepted, there is a limited study to provide systematic guidelines for such resourceful initiative. Therefore, thisresearch seeks to bridge the gap that exists between academia and practitioners by

Copyright © 2011 Chee-Sok Tan, Yee-Wai Sim and William Yeoh. This is an open access article distributed under the Creative Commons Attribution License unported 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided that original work is properly cited. Contact author: Chee-SokTan e–mail: tancs@utar.edu.my

Communications of the IBIMA 2

investigating the dimensions and associated factors for each maturity level in enterprise business intelligence implementations. Based on the investigation results and the concepts of Capability Maturity Model (CMM) (Paulk et al. 1993; Paulk et al. 2003), the authors aim to develop an Enterprise Business Intelligence Maturity...