The rise of big data analytics in telecommunication has significantly transformed the telecommunications industry with companies using large datasets to boost operational efficiency and customer satisfaction. This literature review focuses on MTN Nigeria a leading telecommunications provider in Africa illustrating how big data analytics is applied in the sector. The increase in mobile devices and customer data presents both opportunities and challenges for telecom firms. The review highlights how MTN Nigeria effectively employs big data analytics to improve service delivery optimize network performance and tailor marketing strategies to meet the unique needs of its customers.

The text examines various methodologies in Data Analytics used in the telecommunications sector, specifically predictive modeling and customer segmentation. Moreover, these techniques significantly impact decision-making by allowing companies to forecast customer behavior and preferences, thereby enabling proactive responses to their needs. In addition, customer segmentation identifies distinct groups within the customer base, which in turn allows for tailored services and targeted marketing efforts. Furthermore, by effectively harnessing large volumes of data, these methodologies lead to informed strategies and enhanced performance in a competitive market. Ultimately, their integration is essential for ongoing growth and innovation within the industry

The analysis examines the socio-economic implications of utilizing Data Analytics in telecommunication in Nigeria focusing on its role in fostering innovation and improving service access within the country’s diverse market. It discusses how big data enhances decision-making optimizes resource allocation and customizes services to cater to the distinct needs of different demographic groups. This literature review sheds light on the synergy between big data analytics and telecommunications illustrating its potential to reshape the industry landscape thereby boosting efficiency and customer satisfaction. Additionally it outlines future research opportunities and practical applications in the sector stressing the necessity for ongoing exploration in this fast-evolving domain.

 

 

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