DATA4000 Introduction to Business AnalyticsT3 2024 Assessment

Assessment 1 Information

Assessment Description

• The assessment is an in-class assessment requiring generation of insight following the application of analytics tools. This insight is to be captured in a Word document answering 3questions(Parts A, B&C)

• Complete Parts A, B&Cduringthe3hoursinclassduringweek 5

• Review the rubric at the end of this document for guidance on structure and content.

• Assessment 1coversLearningObjectives2&4

• All submissions MUST be uploaded to Turnitin in Word format at the end of the 3hours of class time.

Students will need to have access to infographic software(either Power BIor Tableau)for answering this assessment.

Assessment Overview

Part A: Data Analysis and Descriptive Analytics (200 words, 15 marks)

You are provided a data file containing characteristics relating to the performance of surfers (people who physically ride waves at the beach). You are to undertake descriptive analytics for the data file provided. The column headings are largely self-explanatory and can be further understood with a little research.

A Word report is to be completed with the infographic software of your choice–either Power BIor Tableau.

The following questions are to be answered for the dataset provided:

1. Develop person as for both male and female surfers, using the data provided. Provide a few paragraphs interpreting these personas.

1. Generate summary statistics for 3 of the variables in the dataset, supported by visualisations. Provide a few paragraphs interpreting this data.

1. Identify which variables are positively correlated to “Overall Performance”, along with supporting data. Provide an interpretation of the variables correlated with “Overall Performance”. This interpretation of the data includes what makes a good performing surfer.

1. Explain how you have dealt with cells containing missing data.

1. Convert a column of data from non-metric to metric data. Produce a visualisation of the results and explain any limitations with this data conversion process.

Part B: Leadership and organization of Analytics staff(9Marks)

Refer to your Lecture notes for this section

1. In your own words, write a short paragraph (not dot points)on the benefits of  an analytics-centric organization and characteristics of good analytics leadership.
2. In your own words, write a short paragraph (not dot points) comparing centralized versus decentralized ways of organizing analytics staff and the advantages and disadvantages of each one.
3. In your own words, write a short paragraph (not dot points) on how you would assess analytics capability in an organisation, taking into account recent developments in analytics.

“In your own words”means minimal reliance on AI generated content.

Part C: Example of Predictive Analytics in addressing a specific business problem for a specific business

(300words, 6marks)

Describe how predictive analytics can be used as part of a solution to a business problem with reference to ONE real-world case study of your own choosing.

You will need to conduct independent research and consult resources provided in this subject. Describe how the chosen business specifically uses Predictive Analytics and provide references to support your view.

Appropriate use of Generative AI

• The use of Gen AI is optional for parts of this assessment. Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used.
• In addition, you must include an appendix that documents your Generative AI collaboration including all prompts and responses used for the assessment.
• A penalty will be awarded if any part of the assessment is deemed by the assessor where it shows an over-reliance on AI-generated content in your answer. There needs to be a demonstration of original thought.

Important Study Information

Academic Integrity and Conduct Policy

https://www.kbs.edu.au/admissions/forms-and-policies

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.

Please read the policy to learn the answers to these questions:

• What is academic integrity and misconduct?
• What are the penalties for academic misconduct?
• How can I appeal my grade?

Late submission of assignments (within the Assessment Policy)

https://www.kbs.edu.au/admissions/forms-and-policies

In-class assessments are subject to the following penalties:

• All submissions for in-class assessments conducted during a class are to be handed in by the deadline set in class.
  • Assessments handedin30minutes aftertheendoftheclasswillreceivea50%reductioninthemark for late submission
  • Assessments handedin30+minutesaftertheendoftheclass willreceivea0markforlate submission
  • Nonattendancethein-classassessmentwillresultinamarkof0(zero)

Length Limits for Assessments

Penalties may be applied for assessment submissions that exceed prescribed limits.

Study Assistance

Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the My KBS Academic Success Centre page. Further details can be accessed at https://elearning.kbs.edu.au/course/view.php?id=1481

Generative AI Traffic Lights

Please see the level of Generative AI that this assessment has been designed to accept:

Assessment Marking Guide

Note 1: A reduction in grade will be applied if any part of the assessment displays any evidence of the use of AI generated content, without acknowledgement / referencing of this source / generative question

Note 2: A reduction in grade will be applied if any part of the assessment is deemed by the assessor where it shows an over-reliance on AI generated content in your answer. There needs to be demonstration of original thought, preferably supported by peer-reviewed journals and industry journals