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 systematic guidelines 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 of five 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.

Highlights

  • Business intelligence (BI) market has experienced high growth and business intelligence (BI) technologies have consistently received attention by many Chief Information Officers (Gartner 2007; Gartner 2008; Gartner 2009)

  • The business intelligence applications have been the primary agenda for many Chief Information Officers, the literature review on related works indicates little academic research on the maturity model for a successful enterprisescale business intelligence implementation

  • This study presents the first rigorously research step towards understanding the key dimensions and associated factors influencing enterprise-level business intelligence maturity

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Summary

Introduction

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). Intelligence Maturity (EBIM) Model that may help organisations in assessing existing enterprise-scale business intelligence implementation and identifying potential weak points and improvement strategies. This research: adds to knowledge and contributes to the literature of an emerging area of interest – the management of enterprise business intelligence initiative, in particular, an enterprise-level business intelligence maturity model for better guidance in such resourceful and complex undertaking; identifies the dimensions and associated factors which constitute the EBIM model; examines previous literature on the ways in which Capability Maturity Model constructs could be applied in particular, data warehousing, information quality, analytics and business intelligence studies. The project explores and defines an enterprise business intelligence-specific maturity model, so enabling business intelligence stakeholders to better plan, assess, and manage their respective business intelligence initiatives. The fourth section presents the overall discussion, and the conclusion of the study

Literature Review
Communications of the IBIMA
Discussion
Conclusion
Full Text
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