Impact of Big Data Analytics to Nigerian mobile phone industry

Nwanga, M.E.; Onwuka, E. N.; Aibinu, Abiodun Musa; Ubadike, Osichinaka

doi:10.1109/ieom.2015.7093810

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…A study conducted on Nigeria's general election of 2015 [16] revealed social media as the major influencer and that SMA can contribute in predicting trends that may influence developing economies. On the other hand, the substantial benefits from Big Data and analytics that were reaped by the mobile phone industry in Nigeria [58] revealed that proper correlations of social media data can help to reveal more complete and deeper insight of customer needs, thus enriching the operators with more revenue.…”

Section: Discussion and Implications For Research In Africamentioning

confidence: 99%

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

Yakobi¹,

Scholtz²,

Berg³

2020

Lecture Notes in Computer Science

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The emergence of Citizen Relationship Management (CzRM) for government plays a central role in developing citizen relationships and e-participation. As such, the South African government has shown its commitment towards citizenry and the provision of effective service delivery. Social Media Analytics (SMA) has emerged as a potential new solution to support decision-making for service delivery in CzRM. It is believed that the demand for SMA adoption will increasingly rise. However, the reality of social media Big Data comes with the challenges of analysing it in a way that brings Big Value. The purpose of this paper is to identify the challenges of social media Big Data Analytics (BDA) and to incorporate these in a conceptual model that can be used by governments to support the e-participation of citizens. The model was developed through a systematic literature review (SLR). The findings revealed that data challenges relate to designing an optimal architecture for analysing data that caters for both historic data and real-time data at the same time.

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Section: Discussion and Implications For Research In Africamentioning

confidence: 99%

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

Yakobi¹,

Scholtz²,

Berg³

2020

Lecture Notes in Computer Science

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“…In the telecommunications industry, Big Data Analytics (BDA) revolutionizes operations by empowering operators to harness novel data sources, extracting invaluable insights into customer behavior. Consequently, operators can tailor offerings more precisely, enhancing revenues while curbing expenses [32]. BDA solutions equip telecom operators with the capability to handle diverse data types, whether structured or unstructured, regardless of the rate of data generation.…”

Section: Big Data Analytics In Telecommunication Servicesmentioning

confidence: 99%

Impact of Big Data Analytics on Future Trends in Telecommunication Services

2024

IJSREM

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This article explores the impact of Big Data analytics on the evolution of future trends within the telecommunication services sector. With the exponential growth of data generated in the digital age, telecommunications companies are increasingly leveraging Big Data analytics to gain valuable insights, enhance operational efficiency, and improve customer experiences. This paper reviews recent advancements in Big Data analytics technologies and methodologies and examines their implications for telecommunication services. Additionally, it analyzes how Big Data analytics is shaping future trends such as network optimization, personalized services, predictive maintenance, and customer engagement in the telecommunication industry. This paper also provides valuable insights into the transformative potential of Big Data analytics and its implications for the future of telecommunication services. Additionally, it discusses the challenges and opportunities presented by the adoption of Big Data analytics in the telecommunications sector and provides insights into the potential future trajectory of the industry. Keywords—Big Data Analytics, Telecommunication Services, Future Trends, Network Optimization, Customer Experience, Predictive Maintenance, Personalized Offerings

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“…Scalability and extensibility are the parameters used for the evaluation of BDI technologies. Nwanga et al studied the impact of big data analytics in mobile phone industry [40]. This study has revealed that BDI solutions and big data analytics has an impact on the growth of the telecommunication industry by adding huge data insights.…”

Section: Review Of Communication Sectormentioning

confidence: 99%

Big Data Integration Solutions in Organizations: A Domain-Specific Analysis

Karanam¹,

Kamath²,

Kulkarni³

et al. 2021

Data Integrity and Quality

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Big Data Integration (BDI) process integrates the big data arising from many diverse data sources, data formats presents a unified, valuable, customized, holistic view of data. BDI process is essential to build confidence, facilitate high-quality insights and trends for intelligent decision making in organizations. Integration of big data is a very complex process with many challenges. The data sources for BDI are traditional data warehouses, social networks, Internet of Things (IoT) and online transactions. BDI solutions are deployed on Master Data Management (MDM) systems to support collecting, aggregating and delivering reliable information across the organization. This chapter has conducted an exhaustive review of BDI literature and classified BDI applications based on their domain. The methods, applications, advantages and disadvantage of the research in each paper are tabulated. Taxonomy of concepts, table of acronyms and the organization of the chapter are presented. The number of papers reviewed industry-wise is depicted as a pie chart. A comparative analysis of curated survey papers with specific parameters to discover the research gaps were also tabulated. The research issues, implementation challenges and future trends are highlighted. A case study of BDI solutions implemented in various organizations was also discussed. This chapter concludes with a holistic view of BDI concepts and solutions implemented in organizations.

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Impact of Big Data Analytics to Nigerian mobile phone industry

Cited by 10 publications

References 3 publications

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review

Impact of Big Data Analytics on Future Trends in Telecommunication Services

Big Data Integration Solutions in Organizations: A Domain-Specific Analysis

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