This report aims to build a model to predict customer churn for Tesco PLC using binary classification trees and RFM method. The dataset provided contains 30,000 customers from Tesco Club card between January 2015 to December 2015. The report discusses the methodology used, including the Classification and Regression (C&R) and RFM method, and evaluates the model performances. The report also provides a literature review and problem definition.

Analyzing a given dataset and writing a report

This assignment requires analyzing a given dataset, interpreting the results, drawing conclusions, and conveying the findings in a written report.

Report on predicting customer churn for Tesco using classification trees and RFM method with literature review and model evaluation.

Predicting Customer Churn for Tesco PLC using Binary Classification Trees and RFM Method

This assignment explores the dataset to predict customer churn for Tesco PLC using Classification and Regression (C&R) and RFM methodology. The Binary classification trees (Classification and Regression (C&R)) procedure is done by using the SPSS modeller programming and RFM strategy is done by using Excel. The results are analyzed and evaluated.

Data Science and Big Data

Statistics and Probability

Marketing Analytics for Tesco PLC: Predicting Customer Churn using C&R and RFM Methodology

This task aims to develop a model to predict customer churn in Tesco PLC using Classification and Regression (C&R) and RFM method. The provided dataset is analyzed using IBM SPSS Modeller. The results are evaluated and compared using the RFM method in Excel. The paper discusses the problem definition, literature review, data set, methodology, and analysis with detailed steps and results.

Artificial Intelligence

Predicting Customer Churn in Tesco PLC using Classification and Regression (C&R) and RFM Method

This project aims to create the business analysis report for a business case study of a logistics organization process. It includes industry scenario, SWOT analysis, organization chart, stakeholder map, context diagram, business use case diagrams, system use case diagrams, class and object diagram, state machine diagram, as-is diagram and activity classification and evaluation. Subject: Business Analytics, Course Code: NA, Course Name: NA, College/University: NA.

Predicting Customer Churn for Tesco PLC using Binary Classification Trees and RFM Method

Marketing Analytics for Tesco PLC: Predicting Customer Churn using C&R and RFM Methodologylg...

Predicting Customer Churn in Tesco PLC using Classification and Regression (C&R) and RFM Methodlg...

Business Analytics: Logistics Organization Process Analysislg...

Marketing Analytics for Tesco PLC: Predicting Customer Churn using C&R and RFM Methodology

Predicting Customer Churn in Tesco PLC using Classification and Regression (C&R) and RFM Method

Business Analytics: Logistics Organization Process Analysis