Enterprise Business Intelligence Maturity Model: Case Study in Financial Industry

Abstract

In new era, Business Intelligence (BI) is important particularly for many chief Information Officers (CIOs). BI especially plays an essential role in organizations and allows managers to analyze business performance in a convenient way and hence, improve decision making. Despite knowing the importance of BI implementation, many organizations still struggle to achieve this especially in financial companies. This paper proposes an Enterprise Business Maturity Model (EBI2M) and evaluates it in one of the financial companies in Malaysia. Preliminary result indicates that the company does not achieve in term of data warehouse, metadata management, knowledge management and performance measurement perspective. Therefore, an EBI2M is used to provide symmetric guidelines for these companies to improve the BI implementation in the future.

Towards a "BI Value Coin": Applying Service Research to Address Business Intelligence Challenges

“…Previous analysis [4] (of both the literature and our case study) shows, however, that existing solutions leave BI's persistent challenges largely unaddressed, focus narrowly on technical aspects of or vendor solutions for BI rather than softer issues that recur or provide only for isolated fragments of BI [4]. Examples of softer issues include absence of sponsorship [2] or lack of human resources with the broad skill set needed for BI [11]. Added to which, the fact that many of the same challenges raised in 1999 [34] -e.g.…”

“…Various solutions have been proposed over the years to address BI's persistent challenges. For example, Critical Success Factors (CSFs) [14][25][10] [37]; Actor-Network Theory (ANT) [25]; multi-faceted CSFs [36]; critical contextual success factors [24]; BI maturity models [2]; BI frameworks [16] and; BI Competence Centers [7].…”

“…Business Intelligence (BI) is identified as the most essential technology for the organization to purchase [2] however, organizations struggle to realize significant business value from their BI investments: over 50% of BI projects fail [16]. Prevalent categories of BI challenges include, amongst others, failure to use the BI solution when it is successfully implemented and challenges in managing overwhelming volumes of data as a foundation of BI [3] (discussed further in the literature section).…”