A Review of Data Mining Applications in the Telecommunication Industry: Evidence from Nigeria

The telecommunication industry has grown so much that economic activities revolve around it. Suffice it to say that telecommunication is crucial for modern society, drives economic growth and enhances connectivity across sectors. The telecommunication industry relies heavily on modern technologies to survive in the competitive market, hence the need for continuous data mining. However, data mining is the cumulative process of extracting patterns, correlations, trends and other useful information from large database using modern technologies. In Nigeria, data mining has become very essential for telecommunication business as it now helps operators take important decisions, solve problems and identify customers concerns. This paper, therefore, presents a comprehensive review of data mining applications within the telecommunication industry in Nigeria. Key application area examined include customer churn prediction, fraud detection, customer relationship management (CRM), and network optimization. The paper throws light on data mining techniques such as classification, clustering, regression and association, and highlights emerging trends including ensemble learning and privacy-aware analytics. It also focuses on some challenges associated with data mining such as high cost of operation, poor data quality, security issues, and infrastructure limitations. The review aims at guiding researchers and telecommunication operators on effective, data-driven strategies for enhancing decision-making and operational performance.