MBA633 Real-world Business Analytics and Management
|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)|
|Total Marks: Submission:||100 Online|
|Due Date:||Week 10 & 11|
You are required to participate in an in-class activity and write a 1500-word proposal addressing a hypothetical problem.
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.
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.
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.
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 are 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.
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.