Assignment Information
Module Name: Business Analytics and Intelligence
Module Code: 7045SSL (Jan-May 2024-25)
Assignment Title: Prs – 10 minute individual presentation
Assignment Due: 05/03/2025 at 6PM Assignment Credit: 5 Credits Presentation Length: 10 minutes Assignment Type:
Percentage Grade (Applied Core Assessment). You will be provided with an overall grade between 0% and 100%. You have one opportunity to pass the assignment at or above 40%.
Assignment Task
This assignment is 10 minutes video presentation that requires you to:
Business context:
The banking sector in the United Kingdom plays a pivotal role in the country`s economy, serving as a cornerstone for financial services and a critical driver of economic growth. Renowned for its robust infrastructure and global influence, the UK banking industry encompasses a diverse range of institutions, including retail banks, investment banks, building societies, and challenger banks. These entities cater to a wide spectrum of customers, from individual savers to multinational corporations. Key players in the sector include established names such as Barclays, HSBC, Lloyds Banking Group, and NatWest Group.
Reference
IBISWorld. (2024). IBISworld Industry Report UK K64.191, Banks in the UK. Available online at:
<https://my.ibisworld.com/uk/en/industry/K64.191/about> [02 December 2024].
Assessment Requirement
As a Business Analyst, it is expected that you examine the Banking industry in the UK and make recommendations about the future of the sector.
This assignment requires you to produce a 10 minute video presentation on business analytics within UK’s Banking industry sector. Not only will this assessment test your presentation skills, but it will also assess how well you are able to gather data, analyse and interpret the output with supporting relevant literature.
Data gathering and Analysis
Obtain yearly data on a minimum of 10 Banks operating in the UK banking industry from FAME/Statista/IBISworld/Yahoo Finance. You should collect data on not less than five and not more than ten variables from the companies’ reports over the period from 2014 to 2023.
The video presentation should address and present the following:
- Analyse relevant journal articles on the implementation of business analytics in businesses and importance of business analytics for decision making in businesses.
- Use the dataset you have gathered on Banks operating in the UK banking industry to plot appropriate tables, graphs and develop appropriate dashboards to visualize the data.
- Compute and explain the summary statistics that describe the properties of your variables and discuss why these summary statistics are useful in the analysis of your data.
- Identify the relationship among the variables by computing the correlation and regression analysis for the variables, using appropriate software (eg spreadsheet, SPSS etc) to uncover patterns and show changes over time. (You will have to determine which of the variables should be your dependent and independent variables).
- Interpret the data output in the light of business analytics and intelligence in the Banking sector of the UK.
Word Count:
This should be 10 minutes presentation.
There will be a penalty of a deduction of 10% of the mark (after internal moderation) for work exceeding the time limit by 10% or more.
This assessment is categorised as AMBER for the use of AI. You may use AI for the following only:
- Inspiration: using AI tools to generate research questions or topic.
- Planning and management: using AI tools to suggest a title, structure, subheadings, or themes, to generate templates, to suggest processes for task management, or to generate prompts to assist thinking through assessment structure or task management.
- Sources and data collection: using AI tools to suggest sources.
- Summarising and consolidating notes: using AI tools to summarise notes or to consolidate notes.
- Translation: using AI tools to translate small sections of your written or recorded work into the language(s) used in an assignment
- Presentation: using AI tools to present data in an accessible format such as by generating, graphs, charts, tables, slides, images, word-clouds, animations, or captions.
- Checking: using AI tools to proofread work.
Where permitted, any assistance/content generated by AI is not your own work and must be acknowledged within your work (see submission instructions below). Failure to do so is academic misconduct.
Submission Instructions:
The assessment must be submitted electronically on turitin submission links by 18:00 UK time on 05-03-2025. No paper copies are required and submission by emails will not be accepted in any situation.
You can access the submission link through the Assessment tab on your Aula program page.
- Your coursework will be given a zero mark if you do not submit a copy through Turnitin. Please take care to ensure that you have fully submitted your work.
- Please ensure that you have submitted your work using the correct file format, unreadable files will receive a mark of zero. The Faculty accepts Microsoft Office and PDF documents, unless otherwise advised by the module leader.
- All work submitted after the submission deadline without a valid and approved reason (see below) will be given a mark of zero.
- You MUST NOT use AI tools to generate your assignment main content for you. You may use AI to just get better clarity of the concepts or locating sources. You should not produce your content and COPY and PASTE in your assignment. Any violation, will be referred to Academic conduct Office (ACO).
- The University wants you to do your best. However, we know that sometimes events happen which mean that you can’t submit your coursework by the deadline – these events should be beyond your control and not easy to predict. If this happens, you can apply for an extension to your deadline for up to two weeks, or if you need longer, you can apply for a deferral, which takes you to the next assessment period (for example, to the resit period following the main Assessment Boards). You must apply before the deadline. You will find information about the process and what is or is not considered to be an event beyond your control at https://share.coventry.ac.uk/students/Registry/Pages/Deferrals- and-Extension.aspx
- Students MUST keep a copy and/or an electronic file of their assignment.
Checks will be made on your work using anti-plagiarism software and approved plagiarism checking websites.
Marking and Feedback
How will my assignment be marked?
Your assignment will be marked by the module team.
How will I receive my grades and feedback?
Provisional marks will be released once internally moderated.
Feedback will be provided by the module team alongside grades release.
Your provisional marks and feedback should be available within 2 weeks (10 working days).
What will I be marked against?
Details of the marking criteria for this task can be found at the bottom of this assignment brief.
Assessed Module Learning Outcomes
The Learning Outcomes for this module align to the marking criteria which can be found at the end of this brief. Ensure you understand the marking criteria to ensure successful achievement of the assessment task. Ensure you understand the marking criteria to ensure successful achievement of the assessment task. The following module learning outcomes 1, 2 and 4 are assessed in this task:
- Define and evaluate key concepts of business analytics.
- Critically apply business analytics skills for decision making.
- Critically analyse and interpret the outputs of data mining models and forecasting results for end-users.
- Solve managerial problems and make systematic decisions by applying business data analysis techniques.
- Justify the appropriate application of business analytics to various international business contexts by selecting appropriate techniques
Assignment Support and Academic Integrity
If you have any questions about this assignment please see the Student Guidance on Coursework for more information.
Spelling, Punctuation, and Grammar:
You are expected to use effective, accurate, and appropriate language within this assessment task.
Academic Integrity:
The work you submit must be your own, or in the case of groupwork, that of your group. All sources of information need to be acknowledged and attributed; therefore, you must provide references for all sources of information and acknowledge any tools used in the production of your work, including Artificial Intelligence (AI). We use detection software and make routine checks for evidence of academic misconduct.
Definitions of academic misconduct, including plagiarism, self-plagiarism, and collusion can be found on the Student Portal. All cases of suspected academic misconduct are referred for investigation, the outcomes of which can have profound consequences to your studies. For more information on academic integrity please visit the Academic and Research Integrity section of the Student Portal.
Support for Students with Disabilities or Additional Needs:
If you have a disability, long-term health condition, specific learning difference, mental health diagnosis or symptoms and have discussed your support needs with health and wellbeing you may be able to access support that will help with your studies.
If you feel you may benefit from additional support, but have not disclosed a disability to the University, or have disclosed but are yet to discuss your support needs it is important to let us know so we can provide the right support for your circumstances. Visit the Student Portal to find out more.
Unable to Submit on Time?
The University wants you to do your best. However, we know that sometimes events happen which mean that you cannot submit your assessment by the deadline or sit a scheduled exam. If you think this might be the case, guidance on understanding what counts as an extenuating circumstance, and how to apply is available on the Student Portal.
Administration of Assessment
Module Leader Name: Dr. Umar Farooq Module Leader Email: [email protected] Assignment Category: Presentation
Attempt Type: Normal
Component Code: CW1
Assessment Marking Criteria
|
Criterion |
Theory, concepts and models |
Analysis, evaluation and application |
Critique, conclusions and recommendations |
|
80 to 100% |
Exceptional work with very high degree of rigour and mastery of knowledge in subject-specific areas. Exceptional level of originality and autonomy. Innovative research with exceptional ability in the utilisation of research methodologies and existing subject-specific literature. |
Exceptional work with very high degree of creativity and critical/analytic skills. Demonstrates exceptional ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates an exceptional ability to evaluate findings and observations. Student evidences the full range of technical and/or artistic skills. |
Exceptional work that demonstrates critique, originality and exceptional problem-solving skills. Work completed with very high degree of accuracy, proficiency and autonomy. Exceptionally well formulated conclusions and recommendations. |
|
70 to 79% |
Excellent work with high degree of rigour and mastery of knowledge in subject-specific areas. Excellent level of originality and autonomy. Innovative research with excellent ability in the utilisation of research methodologies and existing subject-specific literature. |
Excellent work with high degree of creativity and critical/analytic skills. Demonstrates excellent ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates an excellent ability to evaluate findings and observations. Student evidences the a range of technical and/or artistic skills. |
Excellent work that demonstrates critique, originality and excellent problem-solving skills. Work completed with very high degree of accuracy, proficiency and autonomy. Excellently well formulated conclusions and recommendations. |
|
60 to 69% |
Very good work demonstrating rigour and knowledge in subject-specific areas. Very good level of originality and autonomy. Innovative research with very good ability in the utilisation of research methodologies and existing subject-specific literature. |
Very good work demonstrating creativity and critical/analytic skills. Demonstrates very good ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates an very good ability to evaluate findings and observations. Student evidences technical and/or artistic skills. |
Very good work that demonstrates critique, originality and very good problem-solving skills. Work completed with high degree of accuracy, proficiency and autonomy. Very well formulated conclusions and recommendations. |
|
50 to 59% |
Good work demonstrating rigour and knowledge in subject-specific areas. Good level of originality and autonomy. Innovative research with good ability in the utilisation of research methodologies and existing subject-specific literature. |
Good work demonstrating creativity and critical/analytic skills. Demonstrates a good ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates a good ability to evaluate findings and observations. Student evidences technical and/or artistic skills. |
Good work that demonstrates critique, originality and good problem-solving skills. Work completed with good degree of accuracy, proficiency and autonomy. Well formulated conclusions and recommendations. |
|
40 to 49% |
Outcomes met. Work demonstrates knowledge in subject-specific areas. Basic level of originality and autonomy. Innovative research with a general ability in the utilisation of research methodologies and existing subject-specific literature. |
Outcomes met. Work demonstrates creativity and some critical/analytic skills. Demonstrates an ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates an ability to evaluate findings and observations. |
Outcomes met. Work demonstrates critique, originality and basic problem-solving skills. Work completed with basic level of accuracy, proficiency and autonomy. Conclusions and recommendations are presented. |
|
Fail 30, 35% |
Outcomes not met. Work demonstrates limited knowledge in subject-specific areas. Limited level of originality and autonomy and limited innovative research with a weak ability in the utilisation of research methodologies and existing subject- specific literature. |
Outcomes not met. Work demonstrates limited creativity and some critical/analytic skills. Limited ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates a limited ability to evaluate findings and observations. |
Outcomes not met. Work demonstrates limited level of critique, originality and problem- solving skills. Work completed with low level of accuracy, proficiency and autonomy. Few conclusions and recommendations. |
|
Fail 0 to 29% |
Outcomes not met. Work demonstrates minimal knowledge in subject-specific areas. Minimal level of originality, autonomy and use of innovative research. Weak ability in the utilisation of research methodologies and existing subject- specific literature. |
Outcomes not met. Work demonstrates minimal creativity and some critical/analytic skills. Minimal ability to analyse and apply concepts within the complexities and uncertainties of the subject/discipline. Demonstrates a weak ability to evaluate findings and observations. |
Outcomes not met. Work demonstrates a minimal level of critique, originality and problem- solving skills. Work completed with insufficient level of accuracy, proficiency and autonomy. Weak conclusions and recommendations. |