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COMM1190 Data, Insights and Decisions
Assessment Summary
|
Assessment Task |
Weighting |
Due Date* |
Learning Outcomes |
|
Assessment 1: Individual Report
Review and revise a report for a large organisation.
|
20% |
Week 4: 5pm Friday 14th March |
CLO1, 2, 3 |
|
Assessment 2: Team Assessment
Apply key concepts discussed in the course to a real-world scenario
|
30% |
Stage 1: Week 7: 5pm Wednesday 2nd April
Stage 2: Week 9: 5pm Wednesday 16th April
|
CLO2, 3, 4, 5, 6 |
|
Assessment 3: Final Exam
The final exam will test your understanding of course concepts
discussed in all weeks of the course.
|
50% |
Exam period |
CLO1, 2, 3, 5, 6 |
* Due dates are set at Australian Eastern Standard/Daylight Time (AEST/AEDT). If you are located in a different time-zone, you can use the time and date converter.
Course Learning Outcomes (CLOs)
1. Explain how an organisation uses analytical and statistical tools to gain valuable insights. [PLO1]
2. Apply statistics and data analysis skills to real data sets from a variety of organisations and domains to generate insights to make informed decisions. [PLO2]
3. Visualise and analyse data to support arguments that increase stakeholder comprehension of information and business insights. [PLO3]
4. Work effectively in teams to communicate cohesive data insights and recommendations to a range of stakeholders. [PLO4]
5. Critically evaluate the suitability of data and data sources to identify and analyse business problems. [PLO2]
6. Evaluate ethical implications of organisational use of big data and analytics on stakeholders and society. [PLO5]UNSW Business School
Assessment Details
Turnitin
Turnitin is an originality checking and plagiarism prevention tool that enables checking of submitted written work for improper citation or misappropriated content. Each Turnitin assignment is checked against other students' work, the Internet and key resources selected by your Course Coordinator.
If you are instructed to submit your assessment via Turnitin, you will find the link to the Turnitin submission in your Moodle course site. You can submit your assessment well before the deadline and use the Similarity Report to improve your academic writing skills before submitting your final version.
You can find out more information in the Turnitin information site for students.
Late Submissions
The parameters for late submissions are outlined in the UNSW Assessment Implementation Procedure. For this course, if you submit your assessments after the due date, you will incur penalties for late submission unless you have Special Consideration (see below). Late submission is 5% per day or part thereof (including weekends), calculated from the marks allocated to that assessment (not your grade); in other words, if the assessment is 100 marks, you will be penalised 5 marks per day for every single day. No submission will be accepted later than 5 pm on Friday, 21 March.
Extensions
You are expected to manage your time to meet assessment due dates. If you do require an extension to your assessment, please make a request as early as possible before the due date via the special consideration portal on myUNSW (My Student profile > Special Consideration). You can find more information on Special Consideration and the application process below. Lecturers and tutors do not have the ability to grant extensions.
Important note:
COMM1190 uses this integrated sequence of assessment tasks to simulate an authentic project within an organisation. Because of the sequential nature of the tasks, it is very difficult to allow extensions without impacting the academic integrity of the assessment. As such this course does not use the short extension process that you may have seen in other courses. Moreover, in the event you are granted special consideration due to exceptional circumstances precluding you from completing the assessment task on time you are likely to have your final exam reweighted rather than being granted an extension.
Special Consideration
Special consideration is the process for assessing the impact of short-term events beyond your control (exceptional circumstances), on your performance in a specific assessment task.
What are circumstances beyond my control?
These are exceptional circumstances or situations that may:
- Prevent you from completing a course requirement,
- Keep you from attending an assessment,
- Stop you from submitting an assessment,
- Significantly affect your assessment performance.
Available here is a list of circumstances that may be beyond your control. This is only a list of examples, and your exact circumstances may not be listed.
You can find more detail and the application form on the Special Consideration site, or in the UNSW Special Consideration Application and Assessment Information for Students.
Assessment overview
There are two assessment tasks and one exam in COMM1190. Separate documents for each of the assessment tasks will be made available according to the timeline below.
The two assessments relate to the same case and basic business problem. You will be acting as an analyst reporting to the Head of Management Services of a grocery store chain operating throughout Australia. She is interested in knowing more about the customers enrolled in their rewards program and how their characteristics and spending patterns inform management about customer loyalty and retention—their customer churn problem.
Assessment 1: Individual Assignment
Week 4: 5pm Friday 14th
March
20%
Report
~4 pages (+/-10%) + separate file containing R code
Via Moodle course site
Context of assessment task
As a Business Analyst at Dolphin Theme Park, you have been tasked with conducting a deeper analysis of visitor trends, ride popularity, and revenue performance. The General Manager (GM) has expressed concerns over operational inefficiencies, long wait times, and fluctuating revenue streams, seeking data-driven insights to enhance guest satisfaction and profitability.
To support this initiative, the GM has provided a report drafted by a recently hired junior analyst. However, he has raisedconcerns about its quality in both form and substance. Your role is to critically review the initial report, refine the analysis,and produce a revised version using an updated and expanded dataset. This dataset includes the original pilot data as well as additional observations, allowing for a more comprehensive assessment of park operations.
Your analysis will explore key factors such as visitor demographics, ride performance, ticket sales, and customer feedback. By identifying trends and opportunities for improvement, your recommendations will focus on enhancing guest experiences, optimizing ride capacity, and increasing overall park revenue. The goal is to ensure Dolphin Theme
Park remains a top destination while maximizing efficiency and profitability.
Instructions from the General Manager
From: GM
Subject: Report revision project
Good morning,
Thank you for agreeing to undertake the revision of the initial report. It is critical that I receive high-quality, datadriven insights for my upcoming presentation to the Board of Directors. Unfortunately, the initial report does notmeet the required standards, and key issues need to be addressed. Please see below for the specific requirements.
The primary focus of this revision should be identifying the factors contributing to low revenue at the theme park. I am looking for an in-depth analysis of the reasons behind underperformance in our revenue streams.
1. Visitor Demographics: Identify the characteristics of visitors who are contributing to lower-than-expected revenue
2. Spending Patterns: Analyse how visitors are spending their money within the park, including pass fees,food and beverage, and merchandise.
3. Attractions & Experiences: Evaluate which rides, attractions, or events are underperforming in terms ofattendance and revenue generation. Are there any patterns linking lower spending to specific attractions?
4. Customer Satisfaction & Feedback: Assess visitor satisfaction levels and analyse how these correlateswith low revenue. Look for any common feedback that could help explain why certain customers are not spending as much.
5. Repeat Visitors: Investigate visitor retention, focusing on the rates of repeat visitors versus first-time guests. Provide insights into factors contributing to visitors’ retention and suggestions for improvement.
This analysis will serve as the first step in a broader effort to increase both revenue and customer repeated visits atthe park. Understanding the drivers behind low revenue will be critical as we work toward maximizing our profitability and customer experience.
Some guidelines that will help you in improving the original report:
• Please create high-quality visuals using R to meet our organization’s presentation standards.
• Conduct the entire analysis in R for consistency and quality control. I trust you to use your judgment in selecting the appropriate graphs and analyses for each insight.
• Provide recommendations on additional data and variables that could be useful as the project evolves, especiallyrelated to spending behaviour and visitor experiences.
• The revised report should follow the same structure and length as the original report, which is suitable in these areas. Feel free to adjust any other elements of the report structure to ensure clarity and insightfulness.
This revised report is crucial for our strategic efforts to identify and address the causes of low revenue, helping us take the necessary steps to improve our offerings and guest experience moving forward. The dataset you will use contains both the initial data used by the junior analyst, as well as some additional data collected after the fact. I will provide access to these data and a copy of the original report in a separate communication.
Good luck with the project. I look forward to seeing what you come up with.
Kind regards, General Manager| Dolphin Theme Park
Approach to the assessment task
a) Read the GM’s instructions carefully, including the metrics she wants insights into and her guidelines to improve the original report.
b) Download the full dataset. Note that this dataset contains both the original (pilot) data used by the intern, as well as extra observations. All students in the course will have the same pilot data, but the extra observations are individualised. You will access your dataset on Moodle.
c) Review the intern’s initial report to plan how you will revise it using your own analyses and visualisations with R. Remember that the structure of your report will be approximately the same as the initial report, i.e. similar length and sections.
d) As there were problems with the initial report as highlighted by the GM in his email, you should not be restricted to the analyses presented in the initial report.
e) Ensure that you carefully select and include only data and visualisations that support your main findings and conclusions. You should also outline key assumptions or limitations in your analysis.
f) When submitting your report, you must provide a separate file containing the R code used to conduct your analysis and generate your visualisations. No marks will be awarded for this code file, but your submission will be deemed incomplete and given a mark of zero if this file is not included.
g) Submit your revised report and code file as separate documents via Turnitin on the Moodle course site. You can choose the structure of the code file. There is no word limit for the code file.
h) Late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. Assessment 1 will not be accepted after 5:00 p.m. 21 March 2025. For further information please refer to Policies and Support.
i) Special consideration will be granted only in the case of serious illness, misadventure, or bereavement, which must be supported with documentary evidence. In these circumstances, students must apply for Special Consideration. Because of the sequential nature of the assessment tasks, it is very difficult to allow extensions without impacting the academic integrity of the assessment. As such this course does not use the short extension process that you may have seen in other courses. Moreover, in the event you are granted special consideration due to exceptional circumstances precluding you from completing the assessment task on time you are likely to have your final exam reweighted rather than being granted an extension.
Feedback
General feedback on this assignment will be in the form of an exemplar presentation to the Board of Directors. You will be given this exemplar to support you in Assessment 2. You will then receive your grades and personalized feedback on Moodle later. Please see Page 9 of this document for the rubric.
UNSW Business School UNSW Business School
Assessment 2: Team Assessment
Stage 1: Week 7, Wednesday 2nd April 2025
Stage 2: Week 9, Wednesday 16th April 2025
30% (10% for Stage 1, 20% for Stage 2)
Report (Two stages):
Stage 1: Individual
Stage 2: Group
Stage 1: Submission via a template
Stage 2: ~4 pages (+/-10%) + separate file containing R code
Via Moodle course site
Assessment Overview
You will undertake a project as a team applying the key concepts discussed in the course to a real-world scenario. In this assessment, you will explore data using descriptive and predictive analytics to derive actionable insights that can be used to assist with business decision making. The assessment task is designed to develop teamwork skills within an analytics team and technical skills for analysing data to arrive at decisions and recommendations based on the team’s data-generated insights.
Instructions
In Week 5 you will receive detailed instructions regarding Assessment 2, the associated rubric and the formation of groups.
Approach to assessment task
a) You are encouraged to start working with your group from Week 5 onwards, as soon as you have the assessment instructions.
b) You should complete Stage 1 (individual component) of Assessment 2 first to support your group work for Stage 2.
Assessment 3: Final Exam
Exam Period
50%
Examination on Moodle
N/A
Via Moodle course site
Assessment Overview
The final exam will test your technical competence and problem-solving skills, as well as your understanding of the concepts discussed in all weeks of the course. A range of questions and examples drawn from past exams will be provided later.
You will be able to access the COMM1190 exam via the course Moodle site closer to the time of the examination, along with detailed instructions.
Marking Rubric
INDIVIDUAL REPORT | Assessment 1
|
Criteria |
% |
Fail
(0%-49%)
|
Pass
(50%-64%)
|
Credit
(65%-74%)
|
Distinction
(75%-84%)
|
High Distinction
(85%-100%)
|
|
Analysis |
30% |
Fails to demonstrate a basic understanding of the business problem or issue, and the appropriate tools and methods to derive insights from data. Demonstrates limited awareness of the key problems in the initial report and uses poor judgment in deciding what should be highlighted and how it is reported.
|
Demonstrates a proficient understanding of the business problem or issue, and the appropriate tools and methods necessary to extract useful insights from the data. Recognizes some of the key problems in the initial report and attempts to address some of the errors and omissions. Shows basic understanding of what should be highlighted and how it is reported, but some topics are irrelevant and/or not well-supported by the data.
|
Demonstrates a good understanding of the business problem or issue, and the appropriate tools and methods necessary to extract useful insights from the data. Recognizes some of the key problems in the initial report and effectively addresses some of the errors and omissions. Generally, shows good judgement in deciding what should be highlighted and how it is reported, but some topics are not as relevant and/or not well-supported by the data.
|
Demonstrates an advanced understanding of the business problem or issue, and the appropriate tools and methods necessary to extract useful insights from the data. Recognizes most key problems in the initial report and effectively addresses any errors and omissions. Uses good judgment in deciding what should behighlighted and how it is reported.
|
Demonstrates an outstanding understanding of the business problem or issue, and the appropriate tools and methods necessary to extract useful insights from the data. Recognizes all key problems in the initial report and expertly addresses any errors and omissions. Uses excellent judgement in deciding what should be highlighted and how it
is reported.
|
|
Quality of
conclusions and
recommendations
|
20% |
Develops no conclusions or conclusions that are not based on the results of the analysis. Recommendations are absent or do not provide useful advice on how to address data deficiencies.
|
Develops appropriate conclusions although not always closely linked to the results of the analysis. Recommendations identify some deficiencies in the data and there is an attempt to provide advice on how to address them.
|
Develops appropriate conclusions based on the results of the analysis. Recommendations identify some deficiencies in the data and provide some advice on how to address them.
|
Develops well-reasoned and appropriate conclusions based on the results of the analysis. Recommendations identify key deficiencies in the data and provide good advice on how to address them.
|
Develops well-reasoned and insightful conclusions that are fully supported by, and closely linked to, the results of the analysis. Recommendations identify key deficiencies in the data and provide perceptive advice on how to address them.
|
|
Visualisation |
40% |
Inappropriate use of visualisations and graphs do not communicate insights effectively. Graphs are unsatisfactory and unprofessional.
|
Some but not all chosen visualisations are appropriate or effectively communicate insights. Graphs are satisfactory and mostly presented professionally.
|
Good choice of appropriate visualisations to effectively communicate insights. Most graphs communicate an important insight. Graphs are good quality and mostly presented professionally.
|
Very good choice of appropriate visualisations to effectively communicate key insights. Most graphs communicate an important insight. Graphs are good quality and presented professionally.
|
Excellent choice of appropriate visualisations to effectively communicate key insights. All graphs communicate an important insight. Graphs are high quality and presented professionally.
|
|
Criteria |
|
Unsatisfactory |
Satisfactory |
|||
|
Report length |
10% |
Did not follow the instructions of the Head and produced a report that differs markedly from that of the junior analyst. Report may be too brief or too long. | Followed instructions of the Head and produced a report with a structure that approximates that of the junior analyst. UNSW Business School | |||