Task Overview Assessed Course Learning Outcomes (CLOs): CLO2: Assess and adapt contemporary and innovative data visualisation approaches to gain insight and value that support effective data-driven decision-making.

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Assessment 2 Problem Solving (Data Visualisation Project Progress Report & Individual Reflective Journal)

This document provides all information about the assessment requirements, including detailed instructions, resources, and the Criterion Reference Assessment (CRA) Rubric used for grading.

Task Overview Assessed Course Learning Outcomes (CLOs): CLO2: Assess and adapt contemporary and innovative data visualisation approaches to gain insight and value that support effective data-driven decision-making.

CLO3: Appraise and present complex and big data in visual form that is readily understandable by specialist and non-specialist audiences using data visualisation methods, tools, and techniques.

CLO4: Interact and collaborate effectively in teams to design and implement a data visualisation project.

Task Rationale Assessment 2: Problem Solving (Project Report & Individual Journal) involves:

Reporting the progress of the team in completing a data visualisation project.

Maintaining an individual reflective journal documenting the effectiveness of interaction and collaboration of team members.

Purpose: Completing this assessment enables students to develop as well-informed individuals who are:

Critical and creative thinkers

Effective communicators and collaborators

Employable and enterprising professionals in their chosen discipline

Task Instructions Task 1: Big Data Visualisation & Challenges (20 Marks, 1000 Words, CLO2 & CLO3) Task 1.1 (10 Marks, 500 Words): Explain, with an example from your data visualisation project, how visualisation concepts help identify trends and patterns in your dataset to support organisational decision-making.

Task 1.2 (10 Marks, 500 Words): Discuss challenges organisations face in undertaking a big data visualisation initiative. Highlight strategies to address data privacy and security for sensitive data in your dataset.

Task 2 – Big Data Visualisation Key Principles, Approaches & Data Modelling (20 Marks, 900 Words, CLO2) Discuss key principles and approaches your team will use to design the Big Data Visualisation project.

Emphasise the importance of data modelling in designing an effective dashboard, providing an example from your project.

Task 3: Big Data Visualisation Project Power BI (30 Marks, 500 Words, CLO4) Task 3.1 (10 Marks, 250 Words): Provide a data dictionary (Variable, Data Type, Description) for the dataset used. Include Table 3.1 captioned as “Data Dictionary (File Name)” and explain the purpose of each variable.

Task 3.2 (20 Marks, 250 Words): Describe your planned Power BI dashboard including four preliminary views. Include screenshots and submit the packaged Power BI workbook (.pbix).

Task 4 – Individual Reflective Journal, Peer Review & Active MS Teams Participation Each team member must maintain a journal listing activities, dates, duration, type of activity, and how participation contributed to completing Assessment 2.

Evidence must reflect individual participation and MS Teams discussions.

Collaborative team contribution is mandatory; marks may be reduced for inactivity.

Report Structure Cover Page

Title & Table of Contents

Body of Report with relevant Task headings and sub-headings:

Task 1

Task 2

Task 3

Task 4

References

Appendices

Presentation Guidelines:

Font: 12 pt Times New Roman

Line spacing: 1.5

Tables & Figures with captions

Clear, concise writing targeting middle to senior management

Free from spelling & grammatical errors

Referencing: Harvard AGPS style (in-text citations & full reference list)

Note: Reference list and Appendices are not included in the word count.

Task Snapshot Length: 2800 Words (+/- 10%) excluding references & appendices

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