Reference no: EM133160818
BSB131 Applied Business Analytics - Queensland University of Technology
The consulting team initiated a small-scale survey called "University Choice and Satisfaction'. The survey is still underway, and its latest data for two cohorts of Business students (2021 and 2022) is given to you. You conducted some preliminary analysis using data collected from the survey (as part of A2). The Client indicated that they would like to spend more budget in important interventions that could improve students' satisfaction. Before making any investment, the client would like to know more about (1) main factors or driving factors or attributes that influence the overall satisfaction of students with the program/study area/course that they are currently enrolled in, and (2) what predictive analytics models should be used to predict students' satisfaction.
Assessment
Using the same data that you were given in Assessment 2, conduct further analysis and present the findings that are relevant to these new business requirements in a formal research report. The following notes provide guidance for the structure of your Final Research Report:
1- Executive Summary: this section should summarise research objectives and research findings. The word limit for this part is 500 words.
The rest of your Final Research Report should be less than 1,800 words (excluding References) and has the following remaining sections.
2- Business Understanding: this section should present:
• understanding the project objectives and/or requirements from business perspectives, including any equity, ethical, and legal or regulatory imperatives;
• understanding of research questions; and
• converting these research questions into data analytics (modelling) problems.
3- Data Understanding & Modelling: this section should present:
• descriptive analytics of key variables used and relevant diagrams,
• key literature to explain and articulate important causal relationships and hypotheses,
• a directed graph to describe your casual modelling approach (see Lecture 9 for more details),
• key literature to justify your choice of variables used in your analytical models, and
• empirical results of multiple regression and logistic regression analysis.
It is expected that you estimate a set of models (with differing specifications of variables used in these models) and follow a "Systematic Model Building Approach" (see Lecture 10 for more details). You also need to submit your Excel file showing all modelling work as part of your submission. In your Excel file, you are required to report the key tasks done in a single separate sheet.
4- Evaluation: This section presents important results relevant to the research objectives and questions discussed in the Business Understand section. You should have estimated a set of models, hence you should:
• provide a comparative analysis of your various models;
• present your arguments or justification on the "most appropriate" model; and
• interpret the results of the "most appropriate' model.
5- Recommendations: this section presents actionable recommendations based on the insights gained from your work in modelling and data analysis.
6- References: This section present full details of all references cited in your report.
Attachment:- Business Analytics.rar