TITLE:
Leveraging Business Intelligence for Strategic Decision Making: Analyzing Its Impact on MTN Nigeria’s Organizational Performance
AUTHORS:
David U. Mmeje, Ayangeadoo A. Hur-Yagba, Rauf I. Rauf
KEYWORDS:
Business Intelligence, Business Analytics, Strategic Decision
JOURNAL NAME:
Journal of Human Resource and Sustainability Studies,
Vol.12 No.4,
December
4,
2024
ABSTRACT: Business Intelligence (BI) has emerged as a critical tool for enhancing organizational decision-making in dynamic industries like telecommunications. In Nigeria’s telecommunication sector, data-driven insights are vital for maintaining a competitive edge where BI systems play a crucial role. This study investigates the impact of BI on organizational decision-making within MTN Nigeria where a mixed-method approach was used, combining descriptive and ex-post facto designs with a survey methodology. A structured questionnaire was administered to 316 respondents from a population of 1495, determined through stratified and random sampling using Yamane’s formula. Data was analyzed using descriptive statistics and Structural Equation Modeling (SEM) to evaluate the relationships between various BI components and decision-making processes. The findings show that while BI has a significant overall impact on decision-making, the influence of specific BI components varies. Business Intelligence cost, data quality, data security, and technical expertise were found to significantly impact service, processing, and risk decisions. Conversely, data integration and data security did not have significant effects on service and processing decisions, and data integration and data quality showed no significant impact on risk decisions. These findings highlight the need for MTN Nigeria to strategically align its BI investments with the specific needs of different decision-making areas. The study recommends investing in cost-effective BI solutions, enhancing data security, improving data quality, and fostering technical expertise to optimize decision-making and operational performance in the telecommunication industry.