Subject Code & Title: ECON1348 Business Data Analytics
Assessment type: Voice Over Presentation
Weighting: 30%
Overview: This assessment takes the form of case study analysis and requires you to analyse a given data set,interpret, draw conclusion and provide recommendation(s) based on your analysis via a voice over presentation to a business client. To complete this assessment task, you are expected to demonstrate the application of basic analytical capability based on visualisation and descriptive analytics techniques which you have learned in this course.
ECON1348 Business Data Analytics Assessment – RMIT University Australia.
Assessment criteria:
This assessment will measure your ability to:
• Ability to address business problem(s) and objective(s) of the case study
• Ability to identify and apply appropriate visualisation and descriptive analytics techniques
• Ability to interpret and communicate evidence of the analysis with appropriate details
• Ability to deliver quality presentation with appropriate structure and style
Course learning outcomes:
This assessment is relevant to the following course learning outcomes:
CLO1 Research and critique business problems using a suitable paradigm and associated methodologies and methods.
CLO2 Analyse business data by applying data analytics techniques and models to develop business intelligence.
CLO3 Interpret business data and generate ethical and innovative solutions based on data analytics results.
CLO4 Communicate business solutions professionally and effectively to a varied set of stakeholders.
Assessment details:
Case Study: Intelli Auto:
Industry 4.0 has poised to modernise manufacturing sector ad boost the industrial competitiveness. Specifically, it couples with emerging technology such as Internet of Things (IoT), automation and robotics, to increase productivity and reduce costs and thus digitally transformed the manufacturing sector into the “smart factory”. Although Industry 4.0 has great benefits, it also has significant impact on the manufacturing workforce. Potentially it disrupts the manufacturing processes and also the future of manufacturing workforce and leads to controversial debate such as fear of jobs being taken by robots, ethical choices between job losses and profit, etc.
Intelli Auto is an automobile parts manufacturer with 5000 employees. The organisation has plan in place to move towards a digital manufacturing factory in next 5 years. Although the digital plan is at its infant stage, Intelli Auto wishes to study its full-time workforce by developing profile of employees that measures factors such as income, job satisfaction, career progress, etc. The current aim is to better understand the employees of the organisation. In addition, the study also helps to better prepare for negotiation with unions in future when the organisation is in transition to digital manufacturing factory. MR.XXX, the Chief Human Resource Officer, hires Datos Lab Corporation (DLC), a consulting firm, to survey Intelli Auto employees and communicate the results.
A survey of a random sample of 1000 employees was conducted. In this assessment, you play the role of Mr xxxx, a data analyst at DLC. MR.XXX has written to you regarding her requests and/or queries relating to the employee survey. Her email to you is reproduced below.
To: Mr. xxxx , Data Analyst, Datos Lab Corporation
From: MR.XXX, Chief Human Resource Officer
Subject: Intelli Auto Employee Survey – Data Analytics
Dear Mr. xxxx,
As part of the last enterprise bargaining agreement, we agreed with the unions on two key aspects,namely containing the work hours and increasing the number of female employees in the organisation,where possible. Please complete the following analysis for me and present your findings at our next online meeting via Zoom.
ECON1348 Business Data Analytics Assessment – RMIT University Australia.
1) The normal working week is 40 hours, I would like to get an overall summary of the number of hours worked at the organisation. Also, I am interested to know the proportion of the employees who are working more than 60 hours?
2) Are there any differences in hours worked based on the following? I would like to get a brief summary for each of the following.
a) Gender
b) Job satisfaction
c) Job advancement
3) What is the proportion of female employees? Are the following influencing the hours worked of female employees?
a) Age
b) Years of education
c) Years of employment
4) In addition, I would like to get an overview of the awareness of Industry 4.0 among different age group and also across union and non-union members. Are they any apparent differences or similarities?
Part 1 – Data Analytics:
To complete this assessment task, you are expected to demonstrate the application of basic analytical capability based on visual and descriptive analytics which you have learned in this course, specifically the use of Microsoft Excel. You need to consider the types of data and which appropriate visualisation and descriptive analytics techniques should be applied for the analysing the data you have in hand. When exploring and analysing the dataset, you should follow the guidelines below:
1) Summary of hours worked
You should only analyse number of worked thoroughly, not with other variables as the investigation with other variables are listed in the other questions. Where relevant, comment on the data location, central tendency, variability, shape and outliers for this variable.
2) Differences in worked hours
You should investigate the relationships (dependencies) between the two variables.
3) Proportion of female employees
You should investigate the relationships (dependencies) between the two variables.
4) Awareness of Industry 4.0
You should investigate the relationships (dependencies) between the two variables.
Part 2 – Presentation
Your presentation is a video screen capture of you talking to your presentation slides. The focus is on the content. You are not required to show your face in the video unless you chose to do so.
ECON1348 Business Data Analytics Assessment – RMIT University Australia.
Some notes and guidelines:
• You can use any tools (e.g., PowerPoint, Canvas Studio, etc.) to record your voice over presentation as long as you can save/ export it to mp4 file (.mp4) and then upload the video file to Canvas Studio for submission.
• Any part of the presentation that goes beyond the time and slide limit will not be marked.
• Include a slide for reference list using the Harvard referencing system for any references you have used to support your presentation.
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