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INTERNATIONAL JOURNAL OF STUDENT PERFORMANCE AND EDUCATIONAL RESEARCH

International Journal of Student Performance and Educational Research (IJSPER)

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OPTIMIZING BUSINESS PERFORMANCE THROUGH ADVANCED BUSINESS INTELLIGENCE STRATEGIES

Author(s): OSASONA Adedeji Viscker
Type: Research Article
Pages: 1-17
Issue: VOL.2. ISSUE.2, 2024 (FEBRUARY)
Date: 2025-09-19

Abstract

The study assessed optimizing business performance through advanced business intelligence strategies. The population of this study consisted of all the staff of MTN Nigeria Ltd. The sample size of this was 291 respondents. The study adopted a correlational research design while stratified random sampling technique was used in selecting the respondents. The instrument for data collection which was tagged “Optimizing Business Performance through Advanced Business Intelligence Strategies Questionnaire (OBPABISQ)” was administered to the respondents and used for the study. Data collected were analyzed using descriptive analysis and Pearson Product Moment Correlation Analysis. From the results of the data analysis, it was observed that Optimizing business performance through advanced business intelligence (BI) strategies is essential in the current competitive environment. Organisations can achieve sustainable development, resilience, and market leadership in the digital era by making business intelligence (BI) a fundamental skill. This allows them to improve efficiency, foster innovation, and prioritise client needs. The study suggested encouraging firms to examine workflows, operational procedures, and performance indicators in order to spot inefficiencies, bottlenecks, and areas that might use improvement. Additionally, company owners have to spend their money on cutting-edge BI platforms, tools, and technologies that fit their demands in terms of scalability, data analytics capabilities, and business needs.