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Business Intelligence Maturity Framework

Business Intelligence Maturity Framework
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Author(s): Chee-Sok Tan (Universiti Tunku Abdul Rahman, Malaysia), Wai-Khuen Cheng (Universiti Tunku Abdul Rahman, Malaysia), Jie Ren (Fordham University, USA)and Siew Fan Wong (Sunway University, Malaysia)
Copyright: 2019
Pages: 20
Source title: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Source Author(s)/Editor(s): Shah J. Miah (The University of Newcastle, Australia)and William Yeoh (Deakin University, Australia)
DOI: 10.4018/978-1-5225-5718-0.ch003

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Abstract

This chapter builds an enterprise-level business intelligence maturity (EBIM) model that facilitates an improved view of the path in business intelligence (BI) implementation. The authors adopted a two-stage qualitative approach, namely a Delphi study followed by case studies. The findings reveal that a comprehensive EBIM model enables organizations to plan, assess, and manage their BI initiatives more effectively than previously. In addition, this study lists important key process areas (KPAs) that influence BI implementation success. The authors found that the KPAs in different levels and dimensions help organizations identify critical areas in need of maximum attention and channel their scarce resources to improve those areas. Further, the entire EBIM framework fosters better use of limited resources in critical areas, which is likely to have a greater effect at the right time.

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