Abstract

This study investigated the role of data mining in the economic transformation of Nigeria. This study was guided by the following objectives: to examine the role of data mining in the economic transformation of Nigeria, to identify the approaches to reliable data mining for the purpose of socioeconomic development, and to identify factors that influence the rapid socioeconomic transformation of Nigeria. The population of the study consists of MTN Nigeria employees. The random sampling technique was used to select one hundred (100) participants, comprising MTN staff from various departments. The instrument for data collection was a structured questionnaire. Three (3) research questions were raised, answered, and analysed by using the percentage square statistical tool at the 5% level of significance and chi-square. The study employed the descriptive and explanatory design; secondary means were applied in order to collect data. Primary and secondary data sources were used, and the data was analyzed. The study findings revealed that data mining significantly impacts the performance of economic transformation in Nigeria. Data mining can play a pivotal role in the economic transformation of Nigeria by helping to identify trends, patterns, and opportunities within vast amounts of data. It can assist policymakers in making informed decisions, improve resource allocation, enhance market efficiency, and drive innovation. Additionally, data mining can enable better monitoring and evaluation of economic policies and initiatives, leading to more effective interventions and sustainable development.