Assessment Brief 2025/26
Please ensure you read the assessment question or task carefully and fully understand what is being asked.
If anything is unclear or you have questions, please post them on the course Moodle Discussion Forum, and a member of the teaching team will respond directly there.
Assessment Information
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Course Code
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MGT5491
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Course Title
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Business Intelligence Practice
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Assessment Weighting
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60%
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Question release date
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25 September 2025
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Submission date:
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27 November 2025
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Grades and Feedback to be released on:
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18 December 2025
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Word limit
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2100 words (+/- 10%)
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Action to be taken if the word limit is exceeded
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Where a submission exceeds the stated word limit by more than 10%, a penalty of up to 5 percentage points may be applied to the final grade. In severe cases, markers may cease reading beyond the allowable limit if the excess materially affects clarity, structure, or fairness. The word count excludes references, appendices, tables, and figures unless otherwise specified.
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1. QUESTION/ DESCRIPTION OF ACTIVITY
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Type of assessment (e.g., individual, group)
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Individual
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Assessment Method(s)
(e.g., essay, presentation, journal, video, etc.)
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Business Intelligence Dashboard (Tableau or Power BI) and Analytical Report
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ILOs assessment is evaluating
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• Utilize BI tools to create interactive dashboards and visualizations
• Apply descriptive analytics to extract insights from complex datasets
• Analyse real-world cases to evaluate the effectiveness of BI strategies
• Demonstrate critical thinking in proposing BI solutions for sustainable development
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Assessment Question:
You are tasked with designing and presenting a business intelligence solution using an industry- specific dataset. Your objective is to analyse and visualize key performance indicators (KPIs) using Tableau or Power BI, and to present a compelling, data-driven report aligned with a relevant
Sustainable Development Goal (SDG) .
Your submission should include:
• A fully functional, interactive dashboard that displays meaningful business insights using appropriate filters, charts, and story elements.
• A written analytical report (2,100 words ±10%) that includes:
o A clear definition of the business problem and context
o Details of the dataset, including data cleaning/preparation
o Descriptive analytics and insight generation
o Strategic recommendations aligned with the chosen SDG
o Reflections on ethical use and impact of BI
The quality of both your visual communication and your written analysis will be evaluated against the ASBS rubric standards.
2. ASSESSMENT RUBRIC/ CRITERIA
This assessment is supported by a rubric designed in line with the ASBS Rubric Standard (May 2025) and uses the official ASBS Rubrics Template. The rubric has been developed to align with the Intended Learning Outcomes (ILOs)and has been reviewed by the Second Checker and External Examiner where appropriate.
The rubric assesses the following criteria for the Business Intelligence Dashboard & Report (60% weighting):
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Criteria
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Description
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Dashboard Design & Functionality
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Quality of the visualisation and user interactivity (e.g., use of filters, tooltips, navigation, and presentation flow).
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Analytical Insight
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Depth and relevance of descriptive analytics, insight generation, and connection to business/sustainability goals.
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Data Handling & Preparation
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Evidence of data cleaning, transformation, and transparency of processes.
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SDG & Sustainability Alignment
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Clarity and depth in aligning the analysis with a chosen UN Sustainable Development Goal (SDG).
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Written Report & Structure
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Clarity of writing, academic tone, logical structure, referencing, and integration of visuals and narrative.
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Visual Communication
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Effectiveness of the dashboard and report in communicating key insights to stakeholders.
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All criteria are graded using the ASBS grade bands (A1–F) and descriptive level descriptors to ensure fairness, transparency, and consistency in marking.
Students can access the rubric on Moodle alongside the full Assessment Brief and can use it to guide their work and self-assess prior to submission.
Rubric – BI Dashboard & Report (60%)
This rubric is designed according to the ASBS Rubric Standard to support transparent, consistent assessment.
3. FEEDBACK METHOD
For this assessment, individual written feedback will be provided via Moodle, using the structured ASBS marking rubric. This feedback will address each assessment criterion and include specific comments on strengths and areas for improvement.
In addition:
1. General class-level feedback and a grade distribution profile will be posted on Moodle after marking is complete.
2. Students are encouraged to attend office hours or book 1:1 feedback sessions for further clarification or discussion of their feedback.
3. Formative feedback opportunities will be available during tutorials and workshops throughout the course, including draft reviews and peer discussions.
4. ASSESSMENT WEIGHTING
This assessment carries the highest weighting (60%) because it evaluates students' ability to integrate conceptual understanding with applied skills. It reflects the course’s core aim: enabling students to deliver data-driven insights through BI tools like Tableau. It assesses end-to-end analytical thinking — from data preparation to stakeholder-facing recommendations — which is central to business intelligence practice.