MBA633 Real-world Business Analytics and Management Assessment

MBA633 Real-world Business Analytics and Management

Assessment 2 Information

Subject Code:	MBA633
Subject Name:	Real-world Business Analytics and Management
Assessment Title: Assessment Type: Length:	Hypothetical Project In-class role-playing activity and individual proposal Group presentation: 6 minutes (no more) Proposal: 1500 words (+/- 10% allowable range)
Weighting:	40%
Total Marks: Submission:	100 Online
Due Date:	Week 10 & 11

Your task

You are required to participate in an in-class activity and write a 1500-word proposal addressing a hypothetical problem.

Assessment Description

In this individual assessment, students will be given an opportunity to evaluate the strategies for data analysis and interpret these results for decision-making. More importantly, students will practise preparing and analysing data-rich reports as a cornerstone of business decision-making and direction using tangible and intangible resources in digital data management.

Assessment Instructions

At the end of the week 9 workshop, your workshop facilitator will form the class into groups of 3 to 4 students. Once created, you and your partner will undertake the team inventory questionnaire to understand each other’s preferred working styles. Attendance is mandatory so you can a) get acquainted with your partner and b) discuss your team’s working style by reviewing the team inventory questionnaire results. Your workshop facilitator will provide further guidance on the day of your scheduled class.

During the week 10 workshop, you and your partner must participate in a 90-minute in-class activity to prepare and create a dashboard using one of your preferred business intelligence tools (Power BI, Tableau, Excel, etc.).

Let’s imagine you and your team working for Kaplan Hotels. Your team would like to improve the hotel’s performance by understanding customers’ demands. From there, you will forecast the number of guests for the first quarter of 2023. To accomplish that aim, you and your team are required to perform simple data visualisation and analysis. Your workshop facilitator will provide you with the dataset at the start of the activity. Once received, you and the team are required to collaboratively create a dashboard and extract the insights from the dashboard.

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Upon the conclusion of the activity, your team must deliver a 6-minute presentation on the following:

• How the data preparation process is performed.
• The types of visualisation and dashboards chosen.
• The summary of the story that the dashboard tells.

By the beginning of week 11, individually, you are required to submit 1500-word written data to reflect on your in-class activity and forecasting work. Specifically, your report must include the following:

• Summarise the essential findings and story in customer’s demands from the dashboard
• Summarise the data mining process (Data cleaning, data merge, data selection, data modelling, etc.)
• Analyse the data components (time series data components)
• Select at least two (2) different forecasting methods to forecast the number of guests coming in the first quarter of 2023. Then, illustrate the forecasting results in plot graphs.
• Analyse and compare the forecasting result. Give your evaluations on the forecasting technique.

Relevant sources of information should support your justifications and recommendations, and your original work on dashboard and forecasting in BI tools must be demonstrated. These must be referenced in accordance with Kaplan Harvard Referencing Style. Workshop slides, Wikipedia and other ‘popular’ sites are not to be used.

Assessment Submission

This file must be submitted as a ‘Word’ document to avoid any technical issues that may occur from an incorrect file format upload. Uploaded files with a virus will not be considered as a legitimate submission. MyKBS will notify you if there is an issue with the submitted file. In this case, you must contact your workshop facilitator via email and provide a brief description of the problem and a screenshot of the MyKBS error message. You are also encouraged to submit your work well in advance of the deadline to avoid any possible delay involving the Turnitin similarity report or any other technical difficulties that may occur.

Late assignment submission penalties

Penalties will be imposed on late assignment submissions in accordance with Kaplan Business School “late assignment submission penalties” policy.

Number of days	Penalty
1* – 9 days	5% per day for each calendar day late deducted from the total marks available
10 – 14 days	50% deducted from the total marks available.
After 14 days	Assignments that are submitted more than 14 calendar days after the due date will not be accepted, and the student will receive a mark of zero for the assignment(s).
Note	Notwithstanding the above penalty rules, assignments will also be given a mark of zero if they are submitted after assignments have been returned to students

*Assignments submitted at any stage within the first 24 hours after the deadline will be considered to be one day late and therefore subject to the associated penalty

For more information, please read the full policy via the following link: https://www.kbs.edu.au/about-us/school-policies

Important Study Information

Academic Integrity Policy

KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.

What is academic integrity and misconduct?

What are the penalties for academic misconduct?

What are the late penalties?

How can I appeal my grade?

Click here for answers to these questions:

https://www.kbs.edu.au/about-us/school-policies

Word Limits for Written Assessments

Submissions that exceed the word limit by more than 10% will cease to be marked from the point at which that limit is exceeded.

Study Assistance

Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Click here for this information.

MBA633 Assessment 2 Marking Rubric – Hypothetical Project 40%

Marking Criteria ( /100)
In-class activity: Collaboration       /25 marks	You demonstrated competency in the following behaviours while being observed by the workshop facilitator during the 90 -minute in-class activity:	No/Yes, but…/Yes
	Being able to coordinate responsibilities among each otherBeing open and accepting of new ideasBeing clear and thoughtful when expressing ideas to each otherQuality of the dashboard	Being able to adapt to any changes in conversationBeing tactful and productive in discussing differences of opinionsQuality of the insight extracted
Individual Project Work	Rubrics descriptors	F (Fail)	P (Pass) 50 – 64%	C (Credit) 65 – 74%	D (Distinction) 75 – 84%	HD (High Distinction) 85 -100%
0 – 34%	0 – 34%
Dashboard insights   — /15	You broadly determined the critical findings and reflected on the customer’s demands from the dashboard by showing your limited understanding and skills to use the BI tools.	You broadly determined the critical findings and reflected on the customer’s demands from the dashboard by showing your developing understanding and skills to use the BI tools.	You determined almost all critical findings and reflected on the customer’s demands from the dashboard by showing your adequate understanding and skills to use the BI tools.	You determined most of the critical findings and reflected on the customer’s demands from the dashboard by showing your sufficient understanding and skills to use the BI tools.	You determined all the critical findings and reflected on the customer’s demands from the dashboard by showing your comprehensive understanding and skills to use the BI tools.	You determined all the critical findings and reflected on the customer’s demands from the dashboard by showing your expert understanding and skills to use the BI tools.
Mining process       /15 marks	You listed the data mining process by demonstrating a limited understanding of its steps.	You described the data mining process by demonstrating a developing understanding of its steps.	You applied the data mining process by demonstrating an adequate understanding of its steps.	You applied the data mining process by demonstrating a sufficient understanding of its steps.	You applied the data mining process by demonstrating a comprehensive understanding of its steps.	You thoroughly applied the data mining process by demonstrating an expert understanding of its steps.
Data Component     /15 marks	You listed the data components by demonstrating a limited understanding of the content in week 8.	You described the data components by demonstrating a developing understanding of the content in week 8.	You almost analysed the data components by demonstrating an adequate understanding of the content in week 8.	You mostly analysed the data components by demonstrating a sufficient understanding of the content in week 8.	You fully analysed the data components by demonstrating a comprehensive understanding of the content in week 8.	You thoroughly analysed the data components by demonstrating an expert understanding of the content in week 8.
Forecasting techniques and evaluation   /15 marks	You listed the forecasting technique by showing a limited understanding of topics in week 8.	You described the forecasting technique by showing a developing understanding of topics in week 8.	You analysed the forecasting technique by adequately understanding topics in week 8.	You analysed the forecasting technique with a sufficient understanding of the topics in week 8.	You analysed the forecasting technique with a comprehensive understanding of the topics in week 8.	You critically analysed the forecasting technique with an expert understanding of the topics in week 8.
Visual-aid and Format         /10 marks	You prepared and used limited-quality screenshots and formatting that aid your analysis and delivery of your analysis in a limited way.	You prepared and used limited screenshots and formatting that adequately aid the analysis and delivery of your analysis.	You prepared and used adequate quality screenshots and appropriate formatting to aid your analysis and delivery.	You prepared and used adequate screenshots and appropriate formatting that sufficiently your analysis and the delivery of your analysis.	You prepared and used high- quality screenshots and formatting that comprehensively aid the recording and delivery of your video and analysis.	You prepared and used excellent screenshots and formatting that enhanced the quality of your analysis and the delivery of your analysis.
In-text citation and referencing       /5 marks	Neither in-text referencing nor reference list adheres to Kaplan Harvard Referencing Style.	In-text referencing or the resultant reference list adheres to Kaplan Harvard Referencing Style, with many errors.	Both in-text referencing and the resultant reference list adhere to Kaplan Harvard Referencing Style, with many errors.	Both in-text referencing and the resultant reference list adhere to Kaplan Harvard Referencing Style, with some errors.	Both in-text referencing and the resultant reference list adhere to Kaplan Harvard Referencing Style, with only occasional minor errors.	Both in-text referencing and the resultant reference list adhere strictly to Kaplan Harvard Referencing Style, with no errors.
Feedback and grades will be released via MyKBS.