Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System

Magaireah, Asma I.; Sulaiman, Hidayah; Ali, Nor’ashikin

doi:10.1109/icitech.2017.8080042

Cited by 15 publications

(11 citation statements)

References 39 publications

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“…It is increasingly difficult and complex to identify the correct BI tool to employ due to the advancements in technology, several product offerings, and innovation observed in the BI space (Ma et al, 2013). Software selection is viewed and remains the major, crucial, and sensitive activity for many organisations that need to be given the attention it requires by researchers, organisations, and managers (Ansari et al, 2016).In the field of BI it is noteworthy that organisations struggle to select suitable BI tools to deliver successful BI systems given multiple and the abundance of product offerings in the market (Magaireah et al, 2017). This challenge results in an extremely high percentage of BI project failures and abandoned BI solutions recorded, in the region of 70% to 80% (Villamarín & Diaz Pinzon, 2017).…”

Section: Problem Statementmentioning

confidence: 99%

“…The new era of BI has stimulated many organisations to dispose of traditional methodologies of reporting and decision making which depend on human intuition and uninformed decision making (Gillon et al, 2014). Such uninformed decisions have contributed to many BI project failures, and researchers emphasized that the main reason for failures is due to the lack of understanding of critical factors to consider when choosing a tool to employ (Magaireah et al, 2017). Some studies around the subject of BI tools selection has shown that the selection of appropriate and suitable BI tools is difficult, time-consuming, and a significant challenge for many organisations (Grandhi & Wibowo, 2018;Hanine et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers

Budree¹,

Gina²

2023

IJBIDM

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Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers

Budree¹,

Gina²

2023

IJBIDM

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“…The HEI, as an organization, needs to consider specific factors to be able to fulfill QA standards and successfully implement the BI system. Among these factors, are deployment of safety standards [39], assuring administrative services quality [21], crafting curriculum structure [21], effective management [20], [40], innovation [41], leadership [20], and deployment of quality culture [20], [40].…”

Section: Organizationmentioning

confidence: 99%

Integrated Dashboards With Social Media Analysis Capabilities for Monitoring Quality in Higher Education Institutions

Sorour¹,

Atkins²,

Stanier³

et al. 2020

EDULEARN Proceedings

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The nature of Higher Education (HE) systems encompasses different internal and external stakeholders, as well as the substantial budgetary funds allocated by governments in support of Higher Education Institutions (HEIs) operations. This has led to stakeholder demands for assurance that resources are used in the most efficient way, thus, Quality Assurance (QA) plays an essential role in assuring that the organizational mission and objectives are aligned to meet the expectations of stakeholders. This paper discusses an extensive literature review for identifying current architectures for Business Intelligence in Higher Education, and the use of these architectures in the developing of Business Intelligence dashboard. The paper discusses the role of dashboards in monitoring quality in Higher Education Institutions (HEIs) and how reports generated through dashboards can be utilized for the accreditation process in the Kingdom of Saudi Arabia (KSA). The paper also discusses the role of social media which can be used to assess service quality through sentiment analysis. The paper outlines the integration of dashboards and social media for monitoring and supporting decision making processes in Higher Education. The paper contributes in identify the sub elements of an assessment framework and the validation through focused interviews techniques by Quality Assurance professionals to determine its usefulness in assisting decision making. Future work will be to develop the dashboard to use the National Commission for Academic Accreditation and Assessment standards as a reference of information to be included in dashboard design.

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“…To develop business intelligence solutions, conceptual and theoretical frameworks of critical success factors have been proposed. These need to be evaluated in organizations [8], [9], [10] as well as concerning the factors that influence the selection of software tools [11]. For example, Ranjbarfard and Hatami [12] proposed a relationship between critical success factors and business intelligence methodologies that are more representative.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Business Intelligence Solutions in Internet Banking Companies

Viteri¹,

Cruzado²,

Huamán³

2022

International Journal on Advanced Science, Engineering and Information Technology

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Business intelligence in the banking industry has been studied extensively in the last decade; however, business executives still do not perceive efficiency in the decision-making process since the management and treatment of information are very timeconsuming for the deliverer, generating costs in the process. On the other hand, there is no formal methodology for developing business intelligence solutions in this sector. This work aims to optimize decision-making in a business unit that works with internet banking companies, reducing the time, the number of people, and the costs involved in decision-making. To meet the objective, basic and applied research was conducted. The basic research allowed the construction of a new methodology from a study of critical success factors and approaches from the business intelligence literature. The applied research involved the implementation of a business intelligence solution applying the new methodology in a pre-experimental study. Thirty decision-making processes were analyzed using pre-test and post-test data. Tools such as a stopwatch and observation were used to collect and record data on time spent, the number of people, and the decision-making costs. This information was processed in the specialized Minitab18 statistical software, which allowed the observation and confirmation of relevant results regarding time reduction, the number of people, and the costs generated. Therefore, it was concluded that the business intelligence solution, applying the new methodology, optimized decision making in the business unit that works with internet banking for companies.

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Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System

Cited by 15 publications

References 39 publications

Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers

Factors That Drive the Selection of Business Intelligence Tools in South African Financial Services Providers

Integrated Dashboards With Social Media Analysis Capabilities for Monitoring Quality in Higher Education Institutions

Methodology for Business Intelligence Solutions in Internet Banking Companies

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