ENG7142 Research Methods Literature Review CWK Assignment Sample- BCU

Overview of ENG7142 Literature Review

Title: Significance of Predicting Customer Attrition Using Machine Learning in UK Telecom Industry

Abstract

This paper has examined different facets of the tele industry and machine learning to comprehend. things that influence the customer turnover and its effects on this industry. The first attempt of this review was to. explore customer attrition and its types. Then it examined the effect of the loss of customers in the.

field of telecom companies. After that, it explored various traditional methods of predicting customer turnover and its inadequacies. Then it delved into the significance of machine learning and the advantages of machine learning to forecast customer attrition and future trends and other. Machine learning models that can be put into use in this area. Subsequently it talked about different. successful case studies and factors that affect customer attrition. This study will attempt finally. to determine whether the idea of the ASA model that various job applicants will be adjusted to will work. different organizational cultures, can be applied to our study or not..........View More 

Table of Contents

Abstract

1. Introduction
1.1 Aim & Objectives
1.2 Research Rationale
1.3 Problem Statement

2. Literature Review
2.1 Understanding Customer Attrition
  2.1.1 Definition and Types of Customer Attrition
  2.1.2 Impact of Customer Attrition on Telecom Companies

2.2 Traditional Methods of Predicting Customer Attrition
  2.2.1 Statistical Methods
  2.2.2 Limitations of Traditional Methods

2.3 Machine Learning Approaches to Predict Customer Attrition
  2.3.1 Overview of Machine Learning in Customer Analytics
  2.3.2 Commonly Used Machine Learning Models

2.4 Factors Influencing Customer Attrition in Telecom
  2.4.1 Customer Demographics and Usage Patterns
  2.4.2 Service Quality and Customer Satisfaction
  2.4.3 Market Competition and Pricing Strategies

2.5 Theoretical Framework

3. Methodology

4. Data Analysis and Findings
Theme 1: Comparison of Traditional and Modern Predictive Models for Customer Attrition
Theme 2: Factors Influencing Customer Attrition in the Telecom Industry
Theme 3: Strategic Recommendations for Reducing Customer Attrition Using Machine Learning

5. Conclusion and Recommendation
5.1 Conclusion
5.2 Recommendation
5.3 Research Gap
5.4 Future Scope of the Study
5.5 Limitation of the Study

References

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