Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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Instructions to Students:
• Deadline of submission: 30/05/2023 23:59
• The marks received on the case study will be scaled down to the actual weightage of the
assignment which is 50 marks
• Feedback after final evaluation will be provided with final results
Module Learning Outcomes The following LOs are achieved by the student by completing the assignment successfully
1. Apply the business analytics life cycle/process (identify the problem, describe the data, analyse the data, interpret the results, and make presentation on recommendations).
Assignment Objective Aim of this assignment to evaluate the student's performance on concepts of “Business Intelligence and Analytics” that would be reflected through a portfolio on the business analytics process and the role in business decision making through exploration by module materials and research paper.
Context of Case Study Business intelligence and business analytics are two terms that are often used interchangeably by
professionals. But business experts frequently debate whether business intelligence is a subset of business
analytics, or vice versa, and there is often an overlap between how the two fields are defined.
Understanding the differences between business intelligence and business analytics can help leaders
choose the appropriate tools and talent to help grow their businesses. Current and aspiring business
students can also use this knowledge to assess what educational programs can prepare them best for a
successful career in their chosen field.
Reference Source :
Lulu Hypermarket is experiencing a decline in sales over the last quarter and wants to understand the
reasons behind this trend. They have asked you to apply the business analytics life cycle to help them
identify the problem, describe the data, analyze the data, interpret the results, and make
recommendations for improvement.
IN SEMESTER (INDIVIDUAL) CASE STUDY
Module Code: COMP30026 Module Name: Business Intelligence and Analytics
Level: 3 Max. Marks: 100
Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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With reference to above context evaluate the business process for a retail company and propose a new
/ improved business intelligence and analytics. You are required to develop a report not exceeding 2500
words, which comprises of the following.
Task
No.
Topics Marks
1. Introduction
(5 Marks)
2. Study of existing Business Process / System
(10 Marks)
3. Comparative study of selected companies business process /
analytics / intelligence system with any one of the other similar
systems.
(20 Marks)
4. Data collection and data analysis framework
(You can use organization data after approvals or open data
related to your area of study)
(25 Marks)
5. Proposed business intelligence analytics framework
(20 Marks)
6. Barriers, Challenges and Benefits
(9 Marks)
7. Critical Evaluation, Recommendations and conclusions
(9 Marks)
8. References (2 Marks)
a) Documentation Requirements
➢ Adopt academic conventions appropriate to a higher degree
➢ Avoid ‘cut & paste’ model solutions
➢ Use free and open source software for data analysis
➢ Follow MEC policies, sign and submit relevant documents for data/information
collections.
➢ Don’t breach company confidentiality
➢ Pay close attention to assessment weighting and allocate your effort proportionately
➢ Use MEC Learn for peer and tutor support
Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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➢ Try to submit coursework as a single piece, preferably in Microsoft Word or Adobe PDF
format
Note :
➢ Ethical form, declaration form must be uploaded along with your report.
Presentation is mandatory for awarding marks and will be conducted only after submission. If
absent for presentation, zero marks will be awarded. Presentations will be scheduled during
13th and 14th Week.
Criteria
The assignment will be assessed out of 100 marks using the following criteria. The marks
awarded would be then scaled to 50.
Rules & Regulations
• The purpose of assignment is to do some brain storming so you can consult books in Library or use internet or computer magazines or any other source.
Assessment Grading Criteria 90-100%
Outstanding
Focused and comprehensive engagement with the question, showing evidence of in-depthunderstanding of the issues. Extremely clearly structured and demonstrating a coherent argument throughout. Evidence of wide, independent reading.
No obvious errors in referencing or grammar or syntax as appropriate.
80-89%
Excellent
Detailed identification of the issues with evidence of clear understanding of the issues. Well-structured with evidence of independent reading supporting the argument. Very few errors in referencing or grammar or syntax as appropriate.
70-79%
Very good
Identification and very good understanding of issues in the assessment. Full answers to allquestions/task. Very clear argument with relevant examples used to illustrate response. Clear evidence of reading outside the module list.
Few errors in referencing or grammar or syntax as appropriate.
60-69 % Good
Good understanding of the issues. Engages directly with the question. Clear argumentwith good examples used to support it. All main points and important issues of the question/task covered. Some evidence ofreading outside the module list
Some small repeated errors in referencing or grammar or syntax as appropriate
Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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50-59%
Competent
Generally sound understanding of basic theory and concepts. Content relevant to thequestion/task. Competently deals with main issues. Reading based on main texts ormaterials, but not always fully utilised in supporting argument.
Some repeated errors in referencing or grammar or syntax as appropriate.
30- 49%
Retrievable fail
Some learning outcomes and / or assessment criteria not met.
Superficial treatment of issues. Some
is relevant to topic set. Material merely repeatstaught input. Lacks understanding of basic th
eory or concepts. Possible use of extensive quoted passages.
Evidence of sufficient grasp of learning outcomes to suggest that the participant will be
able to retrieve the module on resubmission.
20-29% No learning outcomes fully met. Little evidence of attempts to engage with module materials.
10-19% Little attempt to engage with assignment brief and has not met learning outcomes.Inadequate demonstration of knowledge or understanding of key concepts, theories or practice.
0-9% No real attempt to address the assignment brief or learning outcomes
Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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COMP 30026 – BUSINESS INTELLIGENCE AND ANALYTICS- Case Study
ID NO. __________________ NAME : ______________________________________
Deliverables Aspects 0-1 2-3 4-5 Mark
Task 1 Introduction Poor compilation of Introduction. Relevant points not discussed
Satisfactory / Good compilation of introduction. Few components of introduction not discussed
Very Good / Excellent compilation of introductions. Explained organization / company business introductions
Deliverables Aspects 0-3 4-8 9-10 Mark
Task. 2 Existing System Study
Poor discussion of existing system Relevant points not discussed
Satisfactory / Good discussion of existing system. Few components of discussion can be improved.
Very Good / Excellent compilation of existing system Explained complete system. Necessary diagram / illustration provided
Deliverables Aspects 0-3 4-10 11-15 Mark
Task 3 Comparative Study
Poor discussion of comparative study
Relevant points not discussed /
Partial discussion done
Satisfactory / Good discussion of comparative study. Few system components of discussion can be improved.
Very Good / Excellent compilation of comparative study. Explained systems and components. Necessary table provided
Deliverables Aspects 0-3 4-20 20-25 Mark
Task 4 Data Analytics
Framework
Poor discussion of Data Analytics Framework.
Relevant points not discussed /
Partial discussion done
Satisfactory / Good discussion of Data Analytics Framework. Satisfactory demonstration of different types of hypothesis and tests. However scope of improvement exists
Very Good / Excellent compilation of data analytics framework. Very Good / Excellent discussion of different types of hypothesis testing and relevant examples provided. Explained necessary framework with usages.
Deliverables Aspects 0-3 4-10 11-15 Mark
Task. 5 Proposed BI Framework
Poor discussion of BI Framework. Relevant points not discussed /
Partial discussion done
Satisfactory / Good discussion of BI Framework. Components of BI identified and discussed. However
Very Good / Excellent compilation of data BI framework. Discussed relevant flow, process and components.
Business Intelligence and Analytics (COMP30026) – SPRING 2023 (Case Study) – All – QP
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scope of improvement exists
Explained necessary framework with usages.
Deliverables Aspects 0-3 4-6 7-9 Mark
Task. 6 Barriers , Challenges,
Benefits
Poor discussion of Barriers,
Challenges and Benefits. Partial discussion done. Relevant points
not properly discussed
Satisfactory / Good discussion Barriers, Challenges and Benefits. However scope of improvement exists
Very Good / Excellent compilation of Barriers, Challenges and Benefits Discussed relevant key points for each aspects.
Deliverables Aspects 0-3 4-6 7-9 Mark
Task. 7 Critical Evaluation,
Recommendations &
Conclusions
Poor discussion of Critical Evaluation, Recommendation and Conclusions. Partial discussion done. Relevant
points not properly discussed
Satisfactory / Good discussion of Critical Evaluation, Recommendation and Conclusions. However scope of improvement exists
Very Good / Excellent compilation of Critical Evaluation, Recommendation and Conclusions. Discussed relevant key points for each aspects.
Deliverables Aspects 0 1 2 Mark
Task. 8 References Poor References provided. Not
followed APA 7th Edition style
Satisfactory / Good
References
provided. However
scope of
improvement exists.
Poor References
provided. Not followed
APA 7th Edition style.
Signature of Evaluator
Total Marks
Penalty
Final Marks
Comments
