Construct a model to predict customer churn

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Reference no: EM132109557

Assignment

Background

This is an individual assignment, which requires you to analyse a given dataset, interpret, draw conclusions from your analysis, and then convey your conclusions in a written report.

Assurance of Learning

This assignment assesses following Graduate Learning Outcomes and related Unit Learning Outcomes:

Graduate Learning Outcome (GLO)
GLO1: Discipline-specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession.
GLO3: Digital literacy: using technologies to find, use and disseminate information
GLO5: Problem Solving: creating solutions to authentic (real world and ill define) problems.

Analysis Tasks

1- Construct a model to predict customer churn using binary classification trees (C&R Tree) and evaluate the performance of the constructed model on the holdout sample provided (use metrics related to confusion matrix).

2- Evaluate the performance of the constructed model against the RFM method (use lift chart-
i.e. concentration to make the comparison).

Report Tasks

1- Introduction and problem definition

2- Literature review: Use only academic journal articles. APA style should be used for referencing.

3- Methodology and empirical study: this should include a discussion of your analytical techniques, your model evaluation metrics, your working data, and your model building process.

4- Results: evaluate your analysis results to explain how the constructed models perform and also how they are positioned against a random model (random guessing).

5- Conclusion and Recommendations: This should consider the implications of your results and how they may contribute to customer retention and reduce marketing expenditure.

Attachment:- Assignment.rar

Reference no: EM132109557

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Reviews

len2109557

9/10/2018 10:09:40 PM

Report: Discussion of the final method of inquiry (Marks: 6) GLO5 1.5 Provides little or no discussion of the final method of inquiry, with little or no discussion of any methodological and ethical issues or challenges that accompanied the inquiry or how these were addressed 0-2.9 3.3 Provides some discussion of the final method of inquiry, including some discussion of any methodological and ethical issues or challenges that accompanied the inquiry and how these were addressed 3-3.5 3.9 Provides a good discussion of the final method of inquiry, including a comprehensive discussion of any methodological and ethical issues or challenges that accompanied the inquiry and how these were addressed 3.6-4.1 4.5 Provides a very good discussion of the final method of inquiry, including a very comprehensive discussion of any methodological and ethical issues or challenges that accompanied the inquiry and how these were addressed 4.2-4.7 6 Provides an excellent discussion of the final method of inquiry, including an extremely comprehensive discussion of any methodological and ethical issues or challenges that accompanied the inquiry and how these were addressed 4.8-6

len2109557

9/10/2018 10:09:34 PM

Report: Discussion of how the inquiry is situated within the wider scholarly literature (Marks: 6) GLO1 and GLO5 1.5 Provides little or no discussion of how the inquiry is situated within the wider scholarly literature. Does not draw on literature that relates to the specific issue which the inquiry addresses or literature that relates to learning and teaching in the relevant discipline 0-2.9 3.3 Provides some discussion of how the inquiry is situated within the wider scholarly literature, drawing on some literature that relates to the specific issue which the inquiry addresses as well as literature that relates to learning and teaching in the relevant discipline 3-3.5 3.9 Provides a good discussion of how the inquiry is situated within the wider scholarly literature, drawing on a wide range of literature that relates to the specific issue which the inquiry addresses as well as literature that relates to learning and teaching in the relevant discipline

len2109557

9/10/2018 10:09:05 PM

Report: Discussion of the background or context of the inquiry (Marks: 4) GLO1 and GLO5 1 Provides no relevant research question/s and/or little or no discussion of the learning and teaching problem or issue which the inquiry is intended to address 0-1.9 2.2 Provides research question/s linked to the inquiry as well as some discussion of the learning and teaching problem or issue which the inquiry is intended to address 2-2.3 2.6 Provides clear and actionable research question/s well linked to the inquiry as well as a good discussion of the learning and teaching problem or issue which the inquiry is intended to address 2.4-2.7 3 Provides clear and actionable research question/s very well linked to the inquiry as well as a very good discussion of the learning and teaching problem or issue which the inquiry is intended to address 2.8-3.1 4 Provides clear and actionable research question/s extremely well linked to the inquiry as well as an excellent discussion of the learning and teaching problem or issue which the inquiry is intended to address 3.2-4

len2109557

9/10/2018 10:08:58 PM

Criteria Unsatisfactory Satisfactory Good Very Good Excellent Analysis: Analytical results (Marks: 5) GLO1 and GLO3 1.2 No analysis is presented or Irrelevant/inappropriate techniques have been used to analyse the data with many errors in the analysis 0-2.4 2.7 Consistently, independently and skilfully uses appropriate data analysis techniques, demonstrating some expertise and specialised skills 2.5-2.9 3.2 Consistently, independently and skilfully uses appropriate data analysis techniques, demonstrating good expertise and specialised skills 3-3.4 3.7 Uses appropriate data analysis techniques independently, efficiently and effectively, and demonstrating a consistently high levels of expertise and specialised skills. 3.5-3.9 5 Uses most suitable data analysis techniques independently, efficiently and effectively, and demonstrating a consistently high levels of expertise and specialised skills. 4-5

len2109557

9/10/2018 10:08:48 PM

Submission The assignment consists of two parts: Analysis and Report. You are required to submit both your written report (approx. 3000 words) and analysis files (conducted in Excel and IBM SPSS Modeler). • Analysis Students are expected to complete the first analysis task in IBM SPSS Modeler and the second analysis task in Excel. Both files are expected to be a part of your submission. Before submitting your analysis, make sure it is logically organised and any incorrect or unnecessary output has been removed. In your Excel file all calculated figures are expected to be tied to appropriate Excel functions.

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