Aligning Business Intelligence Towards Effective Decision-Making of Financial Institutons
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Clinton Emmanuella
This study aims to assess the role of Timeliness & Real-time Analytics (TRA) in enhancing Decision-Making Efficiency (DME), and analyze the effect of User Adoption & Accessibility (UAA) on Decision-Making Efficiency (DME) in selected financial institutions in Delta State, Nigeria. The study uses a quantitative research methodology, with data collected from a sample of 223 employees of selected financial institutions in Delta State, Nigeria.A structured questionnaire was used to gather responses, and data analysis was conducted using descriptive and inferential statistics, including correlation and regression analyses, to evaluate the relationships between TRA, UAA, and DME. The findings reveal that both TRA and UAA significantly enhance decision-making efficiency in the financial institutions studied. Specifically, Timeliness & Real-time Analytics (TRA) improves the speed and accuracy of decisions, enabling institutions to respond quickly to market changes. Additionally, high levels of User Adoption & Accessibility (UAA) positively influence decision-making efficiency by ensuring that decision-makers have easy access to relevant data and tools.Based on these findings, the study recommends that financial institutions invest in improving real-time data analytics systems, and prioritize user-friendly BI tools along with comprehensive training programs to increase adoption rates. Financial institutions should also foster a culture that supports data-driven decision-making to enhance the utilization of BI systems.
Adapt IT. (2023). The Power of Business Intelligence Tools and Dashboards for Real-Time Insights. Adapt IT.
Agu, E. E., Obiki-Osafiele, A. N., & Chiekezie, N. R. (2024). Enhancing decision-making processes in financial institutions through business analytics tools and techniques. World Journal of Engineering and Technology Research, 3(01), 19–28.
Al-Okaily, A., Al-Okaily, M., Teoh, A. P., & Al-Debei, M. M. (2023). An empirical study on data warehouse systems effectiveness: the case of Jordanian banks in the business intelligence era. EuroMed Journal of Business, 18(4), 489–510.
Bakare, O. A., Achumie, G. O., & Okeke, N. I. (2024). Real-Time Decision-Making in Financial Services: The Role of Interactive Dashboards and Automated Reporting. International Journal Of Engineering Research And Development, 20(11).
FinTrak. (2023). Harnessing the Potential of Financial and Business Intelligence for Competitive Advantage in Banking. FinTrak Software.
Gwani, M. (2024). Big Data Analytics and its Role in Decision-Making in Nigeria. Host Africa.
Kohli, R., & Devaraj, S. (2003). Measuring information technology payoff: A meta-analysis of structural variables in firm-level empirical research. Information Systems Research, 14(2), 127–145.
Kruk, S. (2024). Leveraging Business Intelligence Tools: Enhancing Decision Making. Giraffe Studio.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81.
Mmeje, D. U., Hur-Yagba, A. A., & Rauf, R. I. (2024). Leveraging Business Intelligence for Strategic Decision Making: Analyzing Its Impact on MTN Nigeria’s Organizational Performance. Journal of Human Resource and Sustainability Studies, 12(4), 780–802. https://doi.org/jhrss.2024.124041
Nithya, N., & Kiruthika, R. (2021). Impact of Business Intelligence Adoption on performance of banks: a conceptual framework. Journal of Ambient Intelligence and Humanized Computing, 12(2), 3139–3150.
Okorie, O. (2022). Business Intelligence inside the Nigerian Banking World. Phillips Consulting.
OptimizDBA Team. (2023). Unlocking the Power of Data: How Business Intelligence and Analytics Drive Success. OptimizDBA.
Rikwentishe, R., Jato, M., & Paul, V. (2022). Effect of Business Intelligence on Organizational Decision Making Process in Nigeria Custom Service. 6, 6–18.
Sertiya Putri, K. D., & Yulianti, P. (2024). Digitalization of Document Control and Data Records Management to Support Business Intelligence of Integrated Documented Information Control Activities at PT X. Transekonomika: Akuntansi, Bisnis Dan Keuangan, 4(5), 716–725. https://doi.org/10.55047/transekonomika.v4i5.707
