MOD009383 Assessment Brief
| Assessment | Individual Coursework |
| Assessment code | 011 |
| Module Code | MOD009383 |
| Module Title | Data Analytics and Demand Management |
| Trimester | 2 |
| Level | 7 |
| Weighting | 60% |
| Word Limit | 3000 words |
| Assessed Learning Outcomes | Intellectual, practical, affective and transferable skills
|
| Assessment Deadline | Please refer to the deadline on the VLE |
Assessment Case Study
It is becoming increasingly important for individuals working in Health and Social Care to understand and appreciate how data analytics can inform demand management. Therefore, as part of this assessment you must demonstrate and apply the key concepts, tools, and techniques of data analytics and demand management, considering the legal and ethical aspects of using personal data in the context of the real industry case study below:
Public health sector is focused on improving the health of the population through measures like disease prevention, health promotion, and environmental health: https://www.local.gov.uk/topics/social-carehealth-and-integration/public-health
Assignment Tasks
As a research assistant based on the project above you are tasked to develop a report for the project consortium board and include:
- Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project (30 Marks)
- Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation (45 Marks)
- Provide a summary of your findings and any further recommendation. (15 Marks)
- Formatting & References (10 Marks)
Note: You may use any business related models, theories, diagrams, and graphs to evidence and present your findings. All your findings must be based on your research and knowledge gained through the module.
Reading Requirements
As an independent consultant your research should therefore focus on finding factual information relevant to your tasks outlined above. The concepts, tools, techniques, and models identified must be based on academic literature and industry papers, this includes journals and conference papers, industry white papers and reports, government website or independent research institute such as McKenzie.
Assessment Criteria
This is research report to the project consortium board. As part of your assessment, you must demonstrate the following assessed learning outcomes:
- Analyse mental health demand and supply data using appropriate concepts, tools and techniques, to make informed decisions.
- Apply the legal and ethical frameworks governing the collection, storage, and use of personal data in healthcare.
Your research report should include the following section outline in the assessment criteria table below:
| Section | Assessment criteria | Marks |
| (1) Introduction | Define Key Concepts: • Identify the types of data that needs to be collected and consider any legal and ethical frameworks governing the collection, storage, and use of personal data for this project | 30 |
| (2) Analysis and Critical Evaluation | Analyse and Critically Evaluate: • Analysing the current data analytics concepts, techniques and tools that can be used by the project to enhance decision making and increase productivity for public health sector. Include the impact of data analytics on the demand management supply chain for the mind organisation | 45 |
| (3) Recommendations & Conclusion | Recommendation & Conclusion: • Provide a summary of your findings and any further recommendation to the project board. | 15 |
| (3) Formatting and Referencing | You should aim to meet the following expectations in terms of formatting and referencing: Correct and thorough use of Harvard referencing. This includes intext references and an alphabetised bibliography. Appropriate and consistent choice of visual elements, including correct selection of graphs and tables in relation to their explanatory purpose. Legible and consistent presentation of data in graphs and tables including clearly labelled and denominated axes. Organized and logical approach to structure, including table of contents, list of figures and tables, numbered pages, numbered sections and subsections, bibliography. Spelling, punctuation, and grammar (SPG): UK English consistent with good practice in business and management applications. |
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