ENG7142 Research Methods Solve

About This Sample

In this sample, you have tried to understand different aspects of tele-sector and machine learning. Other factors affecting customer erosion and its effectiveness in this field are also explained below. In this abstract, we try to find out about erosion and its types. First, he found out about customer feedback from the telecom company field, then he discovered different traditional methods of making predictions. It explored the importance of machine learning and the benefits of using machine learning models that are used in this field. Later on, it will be charged a lot by giving effect to successful case studies and customer attrition. This research will try to find out whether the ASA model concept will be added to different jobs or not.

What We Cover In This Unit

1. Introduction 
  A. aim and objectives 
  B. Research Rationale 
  C. Problem statement 

2. Literature Review 

  A. Understanding Customer Attrition 
    a. Definition and Types of Customer Attrition
    b. Impact of Customer Attrition on Telecom Companies 
 

  B. Traditional Methods of Predicting Customer Attrition 
    a. Statistical Methods 
    b. Limitations of Traditional Methods

 C. Machine Learning Approaches to Predict Customer Attrition 
   a.  Overview of Machine Learning in Customer Analytics 
   b. Commonly Used Machine Learning Models 

 D. Factors Influencing Customer Attrition in Telecom 
   a.  Customer Demographics and Usage Patterns 
   b. Service quality and customer satisfaction 
   c. Market Competition and Pricing Strategies 

 E. 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 
  A. Conclusion 
  B. Recommendation 
  C. Research Gap 
  D. Future Scope of the Study 
  E. Limitations of the Study

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