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Talk to an Expert| Category | Assignment | Subject | Management |
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| University | Anglia Ruskin University (a.r.u london) | Module Title | MOD009383 Data Analytics & Demand Management |
| Word Count | 3000 words |
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| Assessment | Individual Coursework |
| Assessment code | 011 |
| Academic Year | 2026 |
| Trimester | 2 |
| Level | 7 |
| Weighting | 60% |
| Word Limit | 3000 words |
| Assessed Learning Outcomes |
Intellectual, practical, affective and transferable skills
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| Assessment Deadline | Please refer to the deadline on the VLE |
Module Title: Data Analytics and Demand Management
Module Code: MOD009383
This assignment must be completed individually.
You must use the Harvard referencing system where references are applied.
Your work must indicate the number of words you have used.
Written assignments must not exceed more that 10% of the specified maximum number of words.
Assignment submissions are to be made anonymously. Do not write your name anywhere on your work.
Write your student ID number at the bottom of every page and number all pages.
Where the assignment comprises more than one task, all tasks must be submitted in a single document.
SUBMITTING YOUR ASSIGNMENT:
In order to achieve full marks, you must submit your work before the deadline. Work that is submitted late – if your work is submitted on the same day as the deadline by midnight, your mark will receive a 10% penalty. If you submit your work up to five working days after the published submission deadline – it will be accepted and marked. However, the element of the module’s assessment to which the work contributes will be capped with a maximum mark of 50%.
Work cannot be submitted if the period of 2 working days after the deadline has passed (unless there is an approved extension). Failure to submit within the relevant period will mean that you have failed the assessment.
Requests for short-term extensions will only be considered in the case of illness or other cause considered valid by the Director of Studies Team. Please contact DoS@london.aru.ac.uk. A request must normally be received and agreed by the Director of Studies Team in writing at least 24 hours prior to the deadline. See rules 6.64-6.73: http://web.anglia.ac.uk/anet/academic/public/academic_regs.pdf
Exceptional Circumstances: The deadline for submission of mitigation in relation to this assignment is no later than five working days after the submission date of this work. Please contact the Director of Studies Team - DoS@london.aru.ac.uk. See rules 6.112 – 6.141: http://web.anglia.ac.uk/anet/academic/public/academic_regs.pdf
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
As a research assistant based on the project above you are tasked to develop a report for the project consortium board and include:
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.
Pay & Get Instant Answer of MOD009383 Data Analytics & Demand Management Assessment 011 Before Deadline
Order Non Plagiarized AssignmentThis 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:
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Section |
Assessment criteria |
Marks |
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(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 |
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(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 |
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(3) Recommendations & Conclusion |
Recommendation & Conclusion: • Provide a summary of your findings and any further recommendation to the project board. |
15 |
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(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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ANGLIA RUSKIN UNIVERSITY GENERIC ASSESSMENT CRITERIA AND MARKING STANDARDS LEVEL 7
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Grading Rubric Cube
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Assessment Criteria |
0-29 Inadequate |
30 – 39 Limited |
40-49 Basic |
50-59 Satisfactory |
60-69 Good |
70-79 Excellent |
80-100 Outstandi ng |
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Introduction 30%) |
No evidence of Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector.
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Limited Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 1 unique concept(s) identified evidenced.
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Basic Research/Back ground, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 2 unique concept(s) identified and evidenced
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The key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 3 - 5 unique concept(s) identified and evidenced
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The key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 3-5 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects
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The key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 5-7 unique concept(s) identified and evidenced, considerin g the ethical and legal aspects |
In-depth description of the concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 7 or more unique concept(s) identified and evidenced, considerin g and relating the ethical and legal aspects |
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Analysis and Critical Evaluation (45%) |
No evidence of key concepts, tools and techniques used for data analytics and data management in the UK health sector.
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Provided limited key concepts, tools and techniques used for data analytics and data management in the UK health sector. With 1 - 2 unique concept(s) identified evidenced. No analysis.
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Basic Research / background, provided on key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 1 - 3 unique concept(s) identified evidenced. Written descriptively.
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Some analysis of the key concepts, tools and techniques used for data analytics and data management in the UK health sector. with 3 - 5 unique concept(s) identified evidenced. Ethics and legal aspects considered.
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Good analysis, provided on key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 5-7 unique concept(s) identified evidenced and analysed with some relevance to legal and ethical aspects
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In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 7-9 unique concept(s) identified evidenced and analysed with evidence on relevance to legal and ethical aspects
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In-depth analysis and critical evaluation of key concepts, tools and techniques used for data analytics and data manageme nt in the UK health sector. with 10 or more unique concept(s) identified evidenced and analysed with evidence and analysis of the relevance to legal and ethical aspects |
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Recommenda tion (15%) |
No evidence of any recommendatio n, and summary of findings |
Recommendat ion, and summary of findings provided are abstract |
Recommendat ion, and summary of findings provided are an overview with 1-2 evidence from the literature |
Recommenda tion, and summary of findings provided are related to the project, considers the ethical aspects with 3-5 evidence from the literature |
Recommen dation, and summary of findings provided are relevant to the sector and consider the legal and ethical aspects with 5-7 evidence from the literature |
Recommen dation, and summary of findings provided are an indepth and related to the project with ethical and legal aspects considered and evidence with 7 or more evidence literature |
Recommen dation, and summary of findings provided are an indepth, practical and related to the project with ethical and legal aspects considered and evidence with 7 or more |
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Format & Referencing (10%)
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Significant difficulty with structure/accura cy in expression and Harvard referencing |
Difficulty with structure/acc uracy in expression |
Some difficulty with structure/accuracy |
Adequately structured/m ainly accurate in expression |
Logically structured /accurate expression |
Logically structured/ creative expression |
Demonstra tes intellectual originality and imaginatio n. |
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Level 7 is characterised by an expectation of students’ expertise in their specialism. Students are semi-autonomous, demonstrating independence in the negotiation of assessment tasks (including the major project) and the ability to evaluate, challenge, modify and develop theory and practice. Students are expected to demonstrate an ability to isolate and focus on the significant features of problems and to offer synthetic and coherent solutions, with some students producing original or innovative work in their specialism that is worthy of publication or public performance or display. |
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Mark Band s |
Outcome |
Characteristics of Student Achievement by Marking Band for ARU’s Generic Learning Outcomes (Academic Regulations, Section 2) |
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Knowledge & Understanding |
Intellectual (thinking), Practical, Affective and Transferable Skills |
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90- 100% |
Achieves module outcome(s )
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Exceptional analysis of key issues/ concepts/ethics with very clear originality and autonomy. Exceptional development of conceptual structures and argument making an exceptional use of scholarly conventions. Demonstrates exceptional independence of thought and a very high level of intellectual rigour and consistency. Work pushes the boundaries of the discipline and may be considered for external publication. |
Exceptional analysis of key issues/concepts/ ethics. Exceptional development of conceptual structures and argument, making consistent use of scholarly conventions. Exceptional research skills, independence of thought, an extremely high level of intellectual rigour and consistency, exceptional expressive/professional skills, and substantial creativity and originality. Exceptional academic/ intellectual skills. Work pushes the boundaries of the discipline and may be considered for external publication. |
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80- 89% |
Outstanding analysis of key issues/ concepts/ethics with clear originality and autonomy. Outstanding development of conceptual structures and argument making an exemplary use of scholarly conventions. Demonstrates outstanding independence of thought and a very high level of intellectual rigour and consistency |
Outstanding analysis of key issues/concepts/ ethics. Outstanding development of conceptual structures and argument, making consistent use of scholarly conventions. Outstanding research skills, independence of thought, a high level of intellectual rigour and consistency, outstanding expressive/professional skills, and considerable creativity and originality. Outstanding academic/intellectual skills |
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70- 79% |
Excellent analysis of key issues/ concepts/ethics. Excellent development of conceptual structures and |
Excellent analysis of key issues/concepts/ethics. Excellent development of conceptual structures and argument, making consistent use |
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Get Answer of MOD009383 Data Analytics & Demand Management Assessment 011 Before Deadline
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