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BPP Business School
Coursework Cover Sheet
Please use this document as the cover sheet of for the 1st page of your assessment.
Please complete the below table – the grey columns
| Module Name |
| Student Reference Number (SRN) |
| Assessment Title |
AssignmentTutorOnline
Please complete the yellow sections in the below declaration :
| Declaration of Original Work: I hereby declare that I have read and understood BPP’s regulations on plagiarism and that this is my original work, researched, undertaken, completed and submitted in accordance with the requirements of BPP School of Business and Technology. The word count, excluding contents table, bibliography and appendices, is ______ words. Student Reference Number: __________ Date: ______ |
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and awards for programmes.
Please note that by submitting this assessment you are declaring that you are fit to sit this
assessment.
BPP University reserves the right to use all submitted work for educational purposes and may
request that work be published for a wider audience.
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MSc Management
Data Driven Decisions for Business
SUMMATIVE Coursework Assessment Brief
Submission mode: Turnitin online access
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1. General Assessment Guidance
Your summative assessment for this module is made up of this Coursework submission which
accounts for 100% of the marks.
Please note late submissions will not be marked.
You are required to submit all elements of your assessment via Turnitin online access. Only
submissions made via the specified mode will be accepted and hard copies or any other digital
form of submissions (like via email or pen drive etc.) will not be accepted.
For coursework, the submission word limit is 2,500 words. You must comply with the word count
guidelines. You may submit LESS than 2,500 words but not more. Word Count guidelines can be
found on your programme home page and the coursework submission page.
Do not put your name or contact details anywhere on your submission. You should only put
your student registration number (SRN) which will ensure your submission is recognised in the
marking process.
A total of 100 marks are available for this module assessment, and you are required to achieve
minimum 50% to pass this module.
You are required to use only Harvard Referencing System in your submission. Any content which
is already published by other author(s) and is not referenced will be considered as a case of
plagiarism.
You can find further information on Harvard Referencing in the online library on the VLE. You can
use the following link to access this information: http://bpp.libguides.com/Home/StudySupport
BPP University has a strict policy regarding authenticity of assessments. In proven instances of
plagiarism or collusion, severe punishment will be imposed on offenders. You are advised to
read the rules and regulations regarding plagiarism and collusion in the General Academic
Regulations (GAR) and Manual of Academic Procedures (MOPP) which are available on VLE in
the Academic registry section.
You should include a completed copy of the Assignment Cover sheet. Any submission without
this completed Assignment Cover sheet may be considered invalid and not marked.
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2. SUMMATIVE Assessment Brief
2.1. Assessment learning outcomes
This assessment is designed to gauge your understanding, skills and application of common data
analysis techniques used in business and other organisations today. As such you need to
demonstrate your attainment in these areas according to the four Module Learning Outcomes (LOs):
LO1: Critically evaluate the evolving use of data in solving business problems, presenting
logical arguments based on evidence
LO2: Explore how data analytics can be used within a business context
LO3: Critically appraise the presentation of data within a business environment
LO4: Critically evaluate different business analytical techniques as part of planning a data
analytics initiative.
2.2. Scenario
You have recently been employed as a data analyst in a consultancy called Wood From The Trees
(WFTT). The consultancy was established 10 years ago and specialises in helping companies that
don’t have the skills available internally to analyse data to support business decision-making. WFTT
has successfully established a strong reputation and it is now working with internationally
recognised brands.
As WFTT expands, it continues to bring in new employees. The recruitment strategy is to employ less
experienced people and give them the support and development they need to succeed in the
company. They like recruits to have a broad management experience and not be specialist analysts,
because they offer more commercially relevant and actionable recommendations.
As part of the approach to introducing you to how the company works WFTT has asked you to
complete a number of tasks to ensure that you have a grounded knowledge and understanding of
data analytics and its application in decision-making. This is your opportunity to demonstrate your
capability and give your employer the confidence to let you run your own project in the future. The
responses to requests detailed below should be included in a summary Microsoft Word report.
In your first week as a junior consultant you have been familiarising yourself with one of WFTT’s
major clients, Bangles International Jewellery (BIJ). BIJ operates in multiple country markets across
the three continents of Asia, North America and Europe. It does not currently operate in Africa,
South America or Australasia. Although a lot smaller, BIJ aims to compete against companies such as
Signet, LVMH and Cartier. BIJ sells through a network of distributors and also owns a small number
of signature stores in New York, London and Mumbai. It also owns concessions in major airport
hubs.
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2.3. Research objectives and tasks
Your line manager is happy with your performance and because you have familiarity with the BIJ
data she has asked you to lead the next stage of the project. BIJ invested in a marketing campaign in
the UK in May 2021. As part of this, the Director of Product & Marketing has commissioned WTTF to
conduct data-driven research. The core business question that the Director wants you, as a business
consultant to address is:
Did the marketing campaign have a positive impact on sales performance in the UK?
A set of data is available (see module dataset spreadsheet file).
Because this is your first client report for WFTT your line manager has given you additional details
regarding the structure and content that she expects to see. This is set out in Section 3 – Report
Structure.
You have five tasks to complete for your summative report. The first four are exactly the same as for
your formative report and you should update your answers to these tasks based both on feedback
on your formative submission together with your own further learning across the module.
Task 1: Introduction and project plan (20 marks)
Summarise what you are going to present in the report and justify your plan for delivering the
research project to BIJ. Ensure you also clearly reference a data analytics framework as part of
your plan. Finally, specifically explain how data analytics can add value and drive improved
business performance for BIJ.
Guidelines:
State the purpose of report and describe the report structure and contents
Present your overall project plan for delivering the project
Ensure that your project plan explicitly refers to a data analytics framework and explain how
the selected framework can be used to addresses the core business question to be answered
in your consultancy project: Did the marketing campaign have a positive impact on sales
performance in the UK?
Present BIJ’s own business Key Performance Indicators (KPIs) and how improved analytics
enables improvements against these KPIs.
Task 2: Data quality issues and remedies (10 marks)
Discuss both the generic issues that data analysts encounter in sourcing, reviewing and cleansing
data and also specific issues with the project data that BIJ has provided and how you propose to
address those issues.
Guidelines:
List and explain generic data problems and how to identify them. What are the different
options for resolving these generic issues?
List all the data problems you have identified with the BIJ dataset. Explain how you
identified the problems and how you propose to address them.
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Task 3: Data analysis and commentary (20 marks)
Set out and explain the results of your numeric data analysis in the form of tables, summary data
and supporting commentary. Explain how your results inform understanding of BIJ’s performance
and business operations. This should include three tables setting out:
(Table A) Data and trends in sales volume and value by month, by year and across the
whole analysis period
(Table B) Benchmark comparisons of category performance covering sales volume and
value by quarter, by year and across the whole analysis period, and
(Table C) Benchmark comparisons of sales volume and value between markets by quarter,
by year and across the whole analysis period.
Guidelines:
Include summary exploratory data calculations, for example trend data, top and bottom
performing categories, ranges, averages, standard deviations; top and bottom performing
time-periods
Ensure your tables are professionally presented: Headings, units, data formats. Highlight
and annotate key data elements
For each table include firstly an explanation of the table and its contents and then a bulletpoint list of what you can see or infer from the data.
Task 4: Data charting and commentary (20 marks)
Use your data charting and interpretation skills to develop visual presentations of your findings
together with bullet-points setting out the key findings and inferences from the charting. This
should include three charts presenting:
(Chart A) Comparison of sales value trends across markets over time
(Chart B) Category performance comparisons between markets, and
(Chart C) Impact of the marketing campaign in the UK market itself, and in comparison,
with other markets.
Guidelines:
Ensure you provide well-presented and labelled charts
Use a combination of visual data presentation techniques such as bar charts, stacked bar
charts, trend charts, pie charts and treemap charts
For each chart include firstly an explanation of the chart and its contents and then a bulletpoint list of what you can see or infer from the data.
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Task 5: Conclusions and recommendations (20 marks)
Based on your analysis and findings in Tasks 3 and 4 set-out your conclusions and
recommendations.
Guidelines:
What conclusions can be inferred regarding BIJ’s business performance and operations?
What are your business recommendations to BIJ Board?
Note that it is acceptable here also to put forward possible actions that BIJ might take, based
not only on your findings but also on your wider knowledge of business, BIJ’s own market
sector and business data analytics.
Report Structure and References (10 marks)
In addition, ten marks are awarded for the overall professionalism of your report and the adoption
of academic standards.
Guidelines:
Your report should follow the section naming structure and order set out in the Brief. You
should also add your own sub-headings as you see fit to demonstrate your ability to on-develop
structure and content
Your report should include an auto-generated contents page including section headings and subheadings. The contents page should also include a page-referenced list all tables, charts and
figures provided in our report. Remember to number all pages in your report, for example ‘Page
8 of 12’.
Ensure you develop your discussion in a logical progression: Findings, inferences, conclusions,
recommendations
Do not make general assertions without supporting evidence
Zero spelling errors and grammatical mistakes
Cite all your sources in the body of the text and in the Referencing using the Harvard
Referencing style
Include a blend of industry research, case studies and academic references
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3. Report Structure
You should set out your report according to the following heading structure. You should add subheadings under this overall structure as you feel fit to demonstrate your ability to on-develop the
section themes and to provide meaningful sub-structure. But you must use this overall structure in
order to provide a consistent framework against which your marker will allocate marks. You will be
deduced marks if you do not follow this structure. Also note that there is no requirement for
producing an Executive Summary.
University Cover Page
Table of contents
1. Introduction and project plan
2. Data quality issues and remedies
3. Data analysis and commentary
4. Data charting and commentary
5. Conclusions and recommendations
6. References
7. Appendix (optional)
In addition, you may wish to add further appendices as you see fit in order to support your work.
Word count: 2,500. Cover Page, Table of Contents, References, Appendices, Tables, Charts and
Figures do not count towards word count.
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4. Mapping Learning Outcomes to Assessment Tasks
The table below sets out the mapping between the four Module Leaning Objectives and the key
tasks in your Summative Assessment which test your achievement against these Learning Objectives.
| Learning Outcome | Mapping to Summative Assessment Tasks |
| LO 1: Critically evaluate the evolving use of data in solving business problems, presenting logical arguments based on evidence |
Task 1: Introduction and project plan Task 5: Conclusions and recommendations |
| LO 2: Explore how data analytics can be used within a business context |
Task 2: Data quality issues and remedies Task 3: Data analysis and commentary |
| LO 3: Critically appraise the presentation of data within a business environment |
Task 4: Data charting and commentary |
| LO4; Critically evaluate different business analytical techniques as part of planning a data analytics initiative |
Task 1: Introduction and project plan |
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5. Marking Guide (Student version)
The assignment is marked out of 100 and counts towards 100% of your module mark. The following table shows the tasks, marks and marking rubric. You should
iteratively self-assess your performance against the Marking Guide as you develop your draft submission, in order to evaluate your performance against your
target grade.
| Assignment task | Distinction (70-100%) | Merit (60-69%) | Pass (50-59%) | Fail (0-49%) |
| 1: Introduction and project plan (20 marks, LO1, LO4) |
Guidelines: State the purpose of report and describe the report structure and contents Present your overall project plan for delivering the project Ensure that your project plan explicitly refers to a data analytics framework and explain how the selected framework can be used to addresses the core business question to be answered in your consultancy project: Did the marketing campaign have a positive impact on sales performance in the UK? Present BIJ’s own business Key Performance Indicators (KPIs) and how improved analytics enables improvements against these KPIs. |
|||
| Excellent presentation of an analytical framework or approach that can be used to answer the business question. Excellent justification of why this analytical framework or approach can be effective in answering the business question. |
Good presentation to any analytical framework or approach that can be used to answer the business question. Good justification of why this analytical framework or approach can be effective in answering the business question. |
Satisfactory presentation to any analytical framework or approach that can be used to answer the business question. Basic justification of why this analytical framework or approach can be effective in answering the business question. |
Weak answer. No mention to any analytical framework or approach that can be used to answer the business question. No justification of why this analytical framework or approach can be effective in answering the business question. |
|
| 3: Data quality issues and remedies (10 marks, LO2) |
Guidelines: List and explain generic data problems and how to identify them. What are the different options for resolving these generic issues? List all the data problems you have identified with the BIJ dataset. Explain how you identified the problems and how you propose to address them. |
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| Assignment task | Distinction (70-100%) | Merit (60-69%) | Pass (50-59%) | Fail (0-49%) |
| Excellent identification of appropriate errors and explanation how they can be fixed. Student identifies some relevant errors in the database and gives specific recommendation on how to solve them. |
Good identification of appropriate errors and good explanation how they can be fixed. Student identifies some errors and gives recommendations on how to solve them. |
Satisfactory identification of errors and basic explanation how they can be fixed. Student has identified some errors. |
Weak identification of appropriate errors and weak explanation how they can be fixed. |
|
| 3: Data analysis and commentary (20 marks, LO2) |
Guidelines: Include summary exploratory data calculations, for example trend data, top and bottom performing categories, ranges, averages, standard deviations; top and bottom performing time-periods Ensure your tables are professionally presented: Headings, units, data formats. Highlight and annotate key data elements For each table include firstly an explanation of the table and its contents and then a bullet-point list of what you can see or infer from the data. |
|||
| Excellent use of tables to present the outcome of the data analysis run to reply to the business question. Commentary to tables is detailed. |
Good use of tables to present the outcome of the data analysis run to reply to the business question. Commentary to tables is good. |
Satisfactory use of tables to present the outcome of the data analysis run to reply to the business question. Commentary to tables is basic. |
Weak use of tables to present the outcome of the data analysis run to reply to the business question. Commentary to tables is weak. |
|
| 4: Data charting and commentary (20 marks, LO3) |
Guidelines: Ensure you provide well-presented and labelled charts Use a combination of visual data presentation techniques such as bar charts, stacked bar charts, trend charts, pie charts and treemap charts For each chart include firstly an explanation of the chart and its contents and then a bullet-point list of what you can see or infer from the data. |
|||
| Excellent use of charts to present the outcome of the data analysis run to reply to the business question. Commentary to charts is detailed. |
Good use of chart to present the outcome of the data analysis run to reply to the business question. Commentary to charts is good. |
Satisfactory use of charts to present the outcome of the data analysis run to reply to the business question. Commentary to charts is basic. |
Weak use of charts to present the outcome of the data analysis run to reply to the business question. Commentary to charts is weak. |
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| Assignment task | Distinction (70-100%) | Merit (60-69%) | Pass (50-59%) | Fail (0-49%) |
| 5: Conclusions and recommendations (20 marks, LO3) |
Guidelines: What conclusions can be inferred regarding BIJ’s business performance and operations? What are your recommendations to BIJ Board? What business areas and decisions should BIJ review as a result of your recommendation? Note that it is acceptable here also to put forward possible actions that BIJ’s might take, based not only on your findings but also on your wider business knowledge of business and BIJ’ own market sector. |
|||
| Excellent summary of key insights and satisfactory answer to the business question. Excellent discussion of how the analysis can be improved and excellent presentation of concerns about how the analysis is done. |
Good summary of key insights and good answer to the business question. Good discussion of how the analysis can be improved and good presentation of concerns about how the analysis is done. |
Satisfactory summary of key insights and satisfactory answer to the business question. Basic discussion of how the analysis can be improved and basic presentation of concerns about how the analysis is done. |
Weak summary of key insights of the report. Weak discussion of how the analysis can be improved and weak presentation of concerns about how the analysis can be done. |
|
| Report Structure and References (10 marks. Applies across all LOs tasks) |
Guidelines: Your report should follow the section naming structure and order set out in the Brief. You should also add your own sub-headings as you see fit to demonstrate your ability to on-develop structure and content Your report should include an auto-generated contents page including section headings and sub-headings. The contents page should also include a page-referenced list all tables, charts and figures provided in our report. Remember to number all pages in your report, for example ‘Page 8 of 12’. Ensure you develop your discussion in a logical progression: Findings, inferences, conclusions, recommendations Do not make general assertions without supporting evidence Zero spelling errors and grammatical mistakes Cite all your sources in the body of the text and in the Referencing using the Harvard Referencing style Include a blend of industry research, case studies and academic references. |
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| Assignment task | Distinction (70-100%) | Merit (60-69%) | Pass (50-59%) | Fail (0-49%) |
| For a distinction the report will use a consistent approach to headings, tables and graphs. Sources will be correctly cited and there will be a complete set of references in the correct format and in alphabetical order. There is evidence of extensive independent reading and research. Formatting and presentation is professional throughout. |
Referencing has few if any errors. The report is reasonably well presented but could be improved by greater attention to detail. There is evidence of wider reading and research. |
Referencing is satisfactory. There are a limited number of references, but the correct format is used, albeit with some errors. There may be some errors in formatting and presentation, but the report is reasonably professional in appearance. |
Weak research with inappropriate references. No professional appearance of report and slides |
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