Big Data Analytics – Telecommunication Approach: A Case Study Of MTN Nigeria

Project and Seminar Material for Data Science

Big Data Analytics – Telecommunication Approach: A Case Study Of MTN Nigeria


Abstract


Big Data depicts the advancement of human cognitive processes, consisting of large data sets which cannot be processed by the ability of current technology.

It as large volume, high-velocity, and large variety information assets which need new forms of processing for enhanced decision making, insight discovery and process optimization.

The processing of large volume of data has exacted numerous challenges.

These technology poses a lot of security issues due to the fact that it involves numerous technologies which include networks, databases, operating systems, virtualization, resource allocation, containerization, resource scheduling, transaction management, load balancing, concurrency control, managing contents distribution in a content delivery network (CDN) and memory management. The problem confronting the study is to appraise Big data analytics; Telecommunication approach. A case study of MTN Nigeria.


Chapter One


Introduction

1.1 Background of the Study

Database is the set of related data and the system it is organized. The database management system. The advent of big data is as result of the generation of large volume of data. Big data analytics appraises large amounts of data to extract hidden information, correlations and other insights. The technology analyzes your data and provides an immediate answer– an effort which is more efficient than traditional business intelligence solutions. Big data analytics enables organizations extract their data and utilize it to identify new opportunities, be smarter in business moves, conduct a more efficient operations, attain higher profits and happier customers. Bachman, Charles W. (1973). According to the Journal of Science 2008, “Big Data depicts the advancement of human cognitive processes, consisting of large data sets which cannot be processed by the ability of current technology, Gartner views it as large volume, high-velocity, and large variety information assets which need new forms of processing for enhanced decision making, insight discovery and process optimization.

The concept of Cloud Computing proffers a type of computing which deliver services through the Internet or network of servers. The objective of Cloud Computing is to utilize computing power to carry out a large pool of instruction per second. Cloud Computing utilizes networks of a large group of servers with specialized connections to disseminate processed data among the servers. The use of cloud computing technologies, enables the installation of a single software in a computer which is the host computer and users can log into a web-based service that host all the programs to accessed it. The study seeks to appraise Big data analytics; Telecommunication approach. A case study of MTN Nigeria.


1.2 Statement of the Problem

The processing of large volume of data has exacted numerous challenges.

These technology poses a lot of security issues due to the fact that it involves numerous technologies which include networks, databases, operating systems, virtualization, resource allocation, containerization, resource scheduling, transaction management, load balancing, concurrency control, managing contents distribution in a content delivery network (CDN) and memory management. The problem confronting the study is to appraise Big data analytics; Telecommunication approach. A case study of MTN Nigeria.


1.3 Objective of the Study

The Main Objective of the study is to appraise Big data analytics; Telecommunication approach. A case study of MTN Nigeria;

The specific objectives include

  1. To determine the nature of big data analytic
  2. To determine the role Big data analytics in Telecommunication.
  3. To determine the role of Big data analytics in MTN Nigeria.

1.4 Research Questions

  1. What is the nature of big data analytic?
  2. What is the role Big data analytics in Telecommunication?
  3. What is the role of Big data analytics in MTN Nigeria?

1.5 Statement of the Hypothesis

The statement of the hypothesis for the study is stated in Null as follows

  • HO The role of Big data analytics in Telecommunication is negative.
  • Ho The role of Big data analytics in MTN Nigeria is negative.

1.6 Significance of the Study

The study proffers and appraisal Big data analytics; Telecommunication approach. A case study of MTN Nigeria. It provides relevant data for the effective formulation and implementation of policies to enhance the realization of envisaged objective.


1.7 Scope of the Study

The study proffers an appraisal of Big data analytics; Telecommunication approach. A case study of MTN Nigeria.


1.8 Limitation of the Study

The study was confronted with logistics and geographical factors.


1.9 Definition of Terms

Cloud Computing Defined

Cloud Computing proffers a type of computing which deliver services through the Internet or network of servers. The objective of Cloud Computing is to utilize computing power to carry out a large pool of instruction per second. Cloud Computing utilizes networks of a large group of servers with specialized connections to disseminate processed data among the servers. The use of cloud computing technologies, enables the installation of a single software in a computer which is the host computer and users can log into a web-based service that host all the programs to accessed it.

Data Base Management Defined

The database management system” (DBMS) consist of an integrated set of computer software which facilitate the use and the access to datas contained in the database and to interface with different databases even though certain limitations may exist that limit access to particular data. The DBMS is a system which facilitate the entry, storage and retrieval of large amount of data as well as the management and organization of data.

Procurement Defined

Procurement is defined as the process of searching, finding, agreeing to terms, and buying goods, services, or works from an external source, through the process of tendering or competitive bidding process.

Big Data Defined

Big Data depicts the advancement of human cognitive processes, consisting of large data sets which cannot be processed by the ability of current technology, Gartner views it as large volume, high-velocity, and large variety information assets which need new forms of processing for enhanced decision making, insight discovery and process optimization.

Procurement Fraud

Procurement fraud is the exercise of dishonestly, obtaining an advantage, avoiding an obligation or causing a loss to public property or various means during procurement process.


Chapter Five


Summary, Conclusion and Recommendations

5.1 Preamble

This chapter presents the summary and conclusion that can be drawn from the study. It also presents the researchers recommendations with regards to the findings of the study and proposed areas for further studies by other researcher.


5.2 Summary

The Main Objective of the study is to appraise Big data analytics; Telecommunication approach. A case study of MTN Nigeria;

The specific objectives include

  1. To determine the nature of big data analytic
  2. To determine the role Big data analytics in Telecommunication.
  3. To determine the role of Big data analytics in MTN Nigeria.

Findings from the study reveal that the role of Big data analytics in Telecommunication is negative. The role of Big data analytics in MTN Nigeria is negative.


5.3 Conclusion

This paper aims to investigateBig data analytics-telecommunication approach. A case study of MTN Nigeria.
The study focuses on Big data analytics-telecommunication approach.

This study is a case study of a selected area. The study was delimited to the following scope of the study. The study is to be carried out in MTN offices with data gotten from the staff of MTN. The study only analyzed Big data analytics-telecommunication approach.

This study had several delimitations. This study will only use MTN employees instead of other subjects.

As a result of the inability of the researcher to effectively study the whole population strength, a representative number was chosen as the sample size population, 100 respondents was used as the sample size. Data was collected from primary and secondary sources. Primary data was obtained through questionnaire and personal interviews with the respondents. Tables and simple percentage was used as technique of analyzing the research questions.


5.4 Recommendations

The study recommends that the most favorable strategy for MNOs to achieve success with BDA is to execute small pilot projects in cross-functional teams with available data and looking for insights with instant practical use in decision-making. Fast success would reinforce management trust in technology and provide ground for upgrading to larger-scale technologies for big data analytics in the future.

Service providers are advised to use advanced analytics to effectively manage and monetize their big data. They are advised to use advanced analytics for more innovative business models that can offer more targeted campaigns based on specific customer segmentation, as well as location.


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