UA92 BLOCK 6 Data and Decision Making Assessment Brief
| Category | Assignment | Subject | Business Management |
|---|---|---|---|
| University | Module Title | UA92 BLOCK 6 Data and Decision Making |
| Word Count | ASSESSMENT 1: 15 minutes pre-recorded Video (100%) |
|---|---|
| Assessment Type | Assessment 1 |
| Assessment Title | Presentation |
| Academic Year | 2025 |
| Submission Date: | Friday, 25 July, 2025 BY 6PM |
UA92 BLOCK 6 ASSESSMENTS
- There is one assessments on this module: a 15 minutes pre-recorded video.
- The assessment is individual and worth 100%towards the overall module mark.
- The work you submit will demonstrate the learning outcomes of the module in line with the material taught.
MODULE LEARNING OUTCOMES
- Identify and analyse information and arguments relevant to the contemporary business.
- Apply quantitative analysis to understand and present complex data to support evidenced-based decision-making.
- Explain what Big Data is and how it is utilised in business environments to improve organisational performance.
- Use appropriate approaches, such as a verbal, written and non-verbal communication, to receive and pass information.
- Utilise appropriate resources to support an argument, develop a plan and reflect on learning and experiences.
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ASSESSMENT 1: 15 minutes pre-recorded Video (100%)
Your video should be approximately 15 minutes long, with a tolerance of +/-10%
Task Instructions
- Selecting a Topic: Choose a business problem that interests you and is suitable for creating a data dashboard. This could be related to sales, marketing, finance, or any other aspect of business.
- Data Collection: Gather relevant data related to the chosen business problem. Ensure that the data is accurate and appropriate for analysis.
- Using Microsoft Power BI : Utilise Microsoft Power BI to develop a data dashboard.
- Dashboard Components: Your dashboard should include visual representations of the data, such as charts, graphs, and tables. These components should effectively communicate the insights derived from the data.
- Analysis with Commentary: Provide an analysis of the data within the dashboard. Explain the trends, patterns, or insights that can be observed from the visualisations. Your commentary should be clear and insightful.
- Visual Presentation: When recording, ensure that your dashboard is clearly visible and that your commentary is engaging and informative.
- Delivery: Speak clearly and confidently, and ensure that your explanations are easy to follow.