This assessment is designed to reinforce the content taught each week. This is an individual assessment that should be submitted during tutorial day. Campus students will participate in their tutorial day with a tutor, and distance students will participate in the online tutorial day with the coordinator. You will complete two quizzes in Week 4 and Week 10 based on your lecture slides, recorded lectures, tutorial content, and respective book chapters. You will get 10 questions in each quiz. Each quiz lasts 30 minutes, and only one attempt is allowed. This assessment contributes to 20% of the total marks.

Assessment 1 will be marked based on the following criteria.

Each quiz is worth 10 marks

Total: 20 marks

This assessment is aligned with Learning Outcomes 1, 2, and 3 and is an individual task. It must be submitted in Week 5.

For this assessment, you will complete data manipulation exercises using Power BI, enabling you to gain insights from data through interactive visualisations. Each week, you will be presented with a data-related challenge and explore Power BI’s data visualisation capabilities to analyse and interpret the data.

This assessment is designed to strengthen your understanding of data formats, retrieval methods, and analysis techniques. Details of the challenges will be provided via the Moodle unit website in Week 2.

This assessment contributes 30% of the total module marks.

The assessment will be evaluated based on the following criteria:

• Knowledge and Understanding – Demonstrates a clear understanding of the topic and the given problem.
• Analytical Skills and Technical Literacy – Uses appropriate analysis techniques to interpret data effectively.
• Discussion and Justification – Evaluates the relevance of the findings based on the analysis.
• Referencing and Citation – Properly includes references and citations where necessary.

Mark Distribution 

Submitted screenshots of all questions – 5 marks
Analysis of the generated output – 20 marks
Quality of the written report – 5 marks

Total: 30 marks

This is a group assessment contributing to Learning Outcomes 1, 3, 4, and 5. As a group (with two to four members), you will produce a business report in the standard business format. A report template will be provided on Moodle.

For this assessment, you will analyse a case study and provide recommendations to an organisation regarding data processing and data analysis. Your objective is to generate meaningful insights from their data. Additionally, you will develop an analytical dashboard using Power BI to present and visualise your analysis effectively.

The assessment is marked out of 100 and constitutes 30% of the total marks. While this is a group task, your individual contribution will determine your marks, and the marking criteria will be available on Moodle.

Note: Students should complete this assessment as a group. However, if you have a genuine issue and are unable to participate in a group, please contact your unit coordinator by week 5. 

Please refer to the module’s Moodle site for a detailed description of the task.

Your business report assessment will be evaluated based on the following criteria:

• Knowledge and Understanding – Demonstrates a strong understanding of the topic through the selection, analysis, and presentation of relevant data.
• Communication and Information Literacy – Effectively conveys insights with clear discussion, logical structure, and well-supported interpretations. Engages in collaborative dialogue with group members, sharing ideas clearly and providing supporting evidence to help the group succeed.
• Technical Literacy – Showcases proficiency in selecting and integrating appropriate elements within the report, including data visualisation where applicable.
• Critical Discussion – Assesses the relevance, accuracy, and appropriateness of the included elements, particularly with respect to the dashboard.
• Referencing and Citations – Uses credible sources and correctly applies referencing standards to support findings.
• Report Structure and Presentation – Follows a professional structure with well-organised sections, proper formatting, and clear readability.
• Milestone –  Achieves key milestones in Week 5 (forming groups and reporting to the unit coordinator) and Week 9, ensuring the timely completion of specific report sections.

Report Structure

• Title Page – Includes report title, author name, student ID, and date of submission.
• Executive Summary – Provides a concise summary of key findings, insights, and recommendations.
• Table of Contents – Lists report sections with corresponding page numbers.
• Introduction – Outlines the background, purpose, scope, and objectives of the report.
• Data Preprocessing – Describes data cleaning and preprocessing steps with justifications.
• Analysis and Discussion – Interprets findings based on processed data and supported by evidence.
• Dashboard and Technical Components – Explains selected dashboard elements and their relevance.
• Conclusion and Recommendations – Summarises findings and provides actionable recommendations.
• References – Lists properly formatted citations following the required referencing style.
• Appendices (if applicable) – Includes additional supporting materials such as raw data, charts, or screenshots.

For a detailed description of the task and marks distribution, please refer to the unit's Moodle site.

This assessment aligns with Learning Outcomes 2 and 5. It is an individual presentation based on Assessment 3, where you will showcase your personal contributions through an in-depth analysis of the study, emerging technologies, and relevant tools used to address the case study.

All students are required to deliver a presentation that includes a demonstration of the dashboard developed by your group in Assessment 3 and responses to individual questions from the lecturer or tutor. The PowerPoint presentation must be submitted by Monday of Week 12, and student presentations will take place during tutorial sessions in the same week.

The assessment will be evaluated based on the following key aspects of the presentation:

1. Analysis and Critical Thinking

• Demonstrates a well-reasoned and in-depth analysis of the case study within the given context.
• Critically evaluates and compares various tools, assessing their effectiveness and applicability.
• Clearly communicates the significance and impact of the findings, ensuring audience understanding.
• Effectively explains the individual contributions made to Assessment 3.

2. Presentation Structure and Content

• Begins with a strong and engaging introduction, clearly outlining the purpose and key thesis.
• The body of the presentation logically flows from the thesis, presenting information in a structured and coherent manner.
• The conclusion effectively summarises key insights and reinforces the overall argument.
•  Includes all necessary components: title slide, structured dashboard demonstration, summary/conclusion slides, and a properly formatted reference list.
  
  

3. Slide Design and Visual Presentation

• Uses concise, point-form content rather than full sentences.
• Slide numbers, footers, and minimal text enhance clarity and professionalism.
• Large font sizes and clear contrast between text and background ensure readability.
• Consistent colour schemes, fonts, and layouts contribute to a polished and professional appearance.
• Only relevant visual elements are included to support understanding.

4. Delivery and Engagement

• The presenter is well-prepared and confident.
• Maintains good posture, speaks clearly and audibly, and uses appropriate pacing.
• Effective eye contact with minimal reliance on cue cards (avoiding reading directly from slides or notes).
• Manages time efficiently, ensuring all key points are covered within the allocated timeframe.

5. Accuracy and Mechanics

• Ensures data, charts, and insights are accurately presented and clearly explained.
• Adheres to high standards of spelling, grammar, and referencing.
• Accurately responds to the questions posed by the lecturer/tutor and effectively uses the tool to demonstrate the required tasks.
   

Total: 20 marks