代做COMM1190 Assessment 2: Team Report代做Python语言

日期：2024-04-05 04:41

COMM1190 Assessment 2: Team Report

1. Executive Summary

Context of the report:

This report contains information concerning the travel booking company that provides a website to resell domestic and international flights named ‘Australia’s Globe Trotters’. The data collected from this website can give specific insights into how satisfied the customers are with the quality of the website. Using a model that explains website satisfaction, results, conclusions, and recommendations are presented throughout this report. The model presented in this report is a Decision tree used to assess customer satisfaction through the variables of ‘total spending’, ‘ease of use’, ‘available flights’ …

Any Findings for a non-technical audience:

Recommendations for next steps: 

1. 2 Page Report

Summary of the rationale:

Customer happiness is one of the most important measures of business success. An example of utilizing a regression tree model to forecast customer happiness is covered in this article. In this model, the number of available flights, ease of use, and overall cost are the primary predictors of satisfaction.

First off, the quantity of flights that are offered marks a turning point and shows how crucial it is to customer pleasure. When there are fewer flights, ease of usage becomes a crucial factor in assessing satisfaction levels. Consumer satisfaction suffers as a result of inconvenient use. However, in the case of a large number of flights, the anticipated value of satisfaction is highest when the ease of use is high.

Second, total cost has an important role in predicting satisfaction. In settings with fewer available flights, a higher total cost may be related with greater satisfaction, implying that consumers are satisfied as a result of higher-quality service.

In conclusion, our regression tree model indicates which variables are more likely to have an impact on consumer satisfaction with particular experiences. This gives organizations information, allowing them to build more targeted improvement initiatives based on the conditions under which consumers are most satisfied. In brief, by extensively analyzing consumer behavior. data, firms may better predict and exceed customer expectations, resulting in higher customer satisfaction and market competitiveness.

Communicate the Model: Model

Selection process:

Relevant results and analysis that support any findings, conclusions and recommendations for next steps:

Appendix