Construct an Enterprise Business Intelligence Maturity Model (EBI2M) Using an Integration Approach: A Conceptual Framework

Chuah, Min-Hooi; Wong, Kee-Luen

doi:10.5772/35457

Cited by 6 publications

(5 citation statements)

References 17 publications

(5 reference statements)

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“…Two main frameworks were evaluated, namely, Gartner and BI 2020. In addition, five maturity models, namely, TDWI (TDWI, 2015) (Chuah & Wong, 2012), the business information maturity model (Rajterič, 2010) , Gartner's maturity model, advanced market research (AMR) (Rajterič, 2010) and MIT Sloan (Lavalle, Hopkins, Lesser, Schokely, & Kruschwitz, 2010) were evaluated. Once a maturity model was identified, we started using the primary data to create a custom questionnaire that suits SQU requirements.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, in order for organizations to embark on the BI journey, there is a need to assess its current maturity. A business intelligence maturity assessment is required to determine the organization's business needs, its capabilities, and the availability of the information sources (TDWI, 2015) (Chuah & Wong, 2012). The literature provides several maturity assessment models that can be used to assess an organization's readiness for implementing BI.…”

Section: Business Intelligence Maturity Modelsmentioning

confidence: 99%

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A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

Rashdi¹,

Nair²

2017

JISIB

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Higher education institutions generate big data, yet they are not exploited toobtain usable information. Making sense of data within organizations becomes the key factorfor success in maintaining sustainability within the market and gaining competitiveadvantages. Business intelligence and analytics addresses the challenges of data visibility anddata integrity that helps to shift the big data to provide deep insights into such data. Thisresearch aims to build a customized business intelligence (BI) framework for Sultan QaboosUniversity (SQU). The research starts with assessing the BI maturity of the educationalinstitutions prior to implementation followed by developing a BI prototype to test BI capabilitiesof performance management in SQU. The prototype has been tested for the key business activity(KBA): teaching and learning at one college of the university. The results show that theaggregation of the different KBAs and KPIs will contribute to the overall SQU performance andwill provide better visibility of how SQU as an organization is functioning, which is the keytowards the successful implementation of BI within SQU in the future.

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Section: Discussionmentioning

confidence: 99%

Section: Business Intelligence Maturity Modelsmentioning

confidence: 99%

A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

Rashdi¹,

Nair²

2017

JISIB

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“…But we could simply say that our proposed Maturity Model is for the ETL process particularly and this claim makes our research work more special. In reference [14], the authors have done a similar type of work but focus on the Implementation aspects of the BI model. The authors have proposed an enterprise-based BI maturity model to assess the implementation of a BI system in an organization.…”

Section: Literature Reviewmentioning

confidence: 99%

ETL Maturity Model for Data Warehouse Systems: A CMMI Compliant燜ramework

Khan¹,

Islam²,

Khurram³

et al. 2023

Computers, Materials &Amp; Continua

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The effectiveness of the Business Intelligence (BI) system mainly depends on the quality of knowledge it produces. The decision-making process is hindered, and the user's trust is lost, if the knowledge offered is undesired or of poor quality. A Data Warehouse (DW) is a huge collection of data gathered from many sources and an important part of any BI solution to assist management in making better decisions. The Extract, Transform, and Load (ETL) process is the backbone of a DW system, and it is responsible for moving data from source systems into the DW system. The more mature the ETL process the more reliable the DW system. In this paper, we propose the ETL Maturity Model (EMM) that assists organizations in achieving a high-quality ETL system and thereby enhancing the quality of knowledge produced. The EMM is made up of five levels of maturity i.e., Chaotic, Acceptable, Stable, Efficient and Reliable. Each level of maturity contains Key Process Areas (KPAs) that have been endorsed by industry experts and include all critical features of a good ETL system. Quality Objectives (QOs) are defined procedures that, when implemented, resulted in a high-quality ETL process. Each KPA has its own set of QOs, the execution of which meets the requirements of that KPA. Multiple brainstorming sessions with relevant industry experts helped to enhance the model. EMM was deployed in two key projects utilizing multiple case studies to supplement the validation process and support our claim. This model can assist organizations in improving their current ETL process and transforming it into a more mature ETL system. This model can also provide high-quality information to assist users in making better decisions and gaining their trust.

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“…Neither model provides a clear and explicit description of data architecture or technical infrastructure. Similarly, Chuah and Wong (2012) and SAS (2009) focus on data or information related aspects such as management, quality, policy and utilization but only vaguely refer to technical infrastructure and tools in their models.…”

Section: Technical Aspect Of Biamentioning

confidence: 99%

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

Foshay

Yeoh

Boo

et al. 2015

AJIS

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Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

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Construct an Enterprise Business Intelligence Maturity Model (EBI2M) Using an Integration Approach: A Conceptual Framework

Cited by 6 publications

References 17 publications

A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

ETL Maturity Model for Data Warehouse Systems: A CMMI Compliant燜ramework

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

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