代写INFS5700 Individual Assignment代写留学生Matlab语言程序

Type

Written Report

Weighting

15%

Due

6:00 pm Monday, Week 3 (21

September)

Length

1200 words (+/- 10%)

Objective

This assignment requires you to write a case study on a recent analytics solution implemented by an organisation within the past 24 months (i.e., September 2022 or after). The objective is to demonstrate your ability to critically analyse a business problem, examine the application of an analytics solution to address it, assess its impact on the organisation, reflect on your own learning and insights gained from the analysis, draw informed conclusions based on evidence, and effectively communicate your analysis in writing.

Learning Outcomes

· CLO1: Critically evaluate the role of data in supporting management decision-making and gaining competitive advantage.

· CLO2: Discuss and evaluate the Business Analytics framework, techniques and tools used in gathering, analysing and managing data and apply them to enhance decision-making.

· CLO4: Investigate the challenges, critical factors and organisational impacts associated with being business analytically capable.

· CLO6: Research the emerging and global trends of business analytics tools and practices in industry.

Assessment Instructions

Your case study should present a real-life situation or challenge faced by an organisation and explore how it was addressed using analytics. The case study should include a clear problem definition, a detailed analysis of the analytics solution, a self-reflection on your understanding and insights, and a well-supported conclusion. It should be written in a way that it could be used as a learning resource to help other students learn about the application of business analytics.

1. Case Selection: Select an organisation that has implemented an analytics solution (or first publicly announced the implemented analytics solution)

within the past 24 months. The organisation can be from any industry, including but not limited to finance, healthcare, retail, manufacturing, or technology. The chosen case must have sufficient publicly available information to allow for a comprehensive analysis. The analytics solution should focus on areas such as predictive analytics, machine learning, data visualisation, big data analytics, optimisation, or any other relevant area within business analytics.

2. Case Study Structure: Your case study should be structured as follows, with suggested word counts for each section:

Introduction (150-200 words)

Provide a brief overview of the organisation, the context in which the analytics solution was implemented, and the relevance of the solution to the organisation's goals or challenges. Clearly state the purpose of the case study and what it aims to achieve.

Problem Definition (200-250 words)

Clearly define the business problem or opportunity that the organisation aimed to address using analytics. Explain why this problem was significant and how it aligned with the organisation's strategic objectives. Discuss the key factors influencing the problem, including external and internal factors.

Analytics Solution Overview (200-250 words)

Provide a general overview of the analytics solution that was implemented. Describe the type of analytics used (e.g., predictive, descriptive, prescriptive) and the data sources involved. Highlight the goals of the analytics initiative and the expected outcomes.

Analysis of the Impact (250-300 words)

Analyse the impact of the analytics solution on the organisation. Discuss the results achieved, focusing on both qualitative and quantitative outcomes. Evaluate how the solution helped the organisation achieve its strategic goals, solve the business problem, or gain a competitive advantage. Consider both the short-term and long-term impacts on the organisation's performance, including any challenges faced and how they were addressed.

Self-Reflection (150-200 words)

Reflect on your learning experience while conducting this case study. Discuss any new insights gained about the application of analytics in business, the complexities of decision-making in real-world scenarios, and how the case has enhanced your understanding of business analytics.

Consider how this learning might influence your future studies or career in business analytics.

Conclusions (100-150 words)

Provide a brief summary of the key findings from your analysis. Highlight the main takeaways and briefly suggest one or two recommendations for the organisation based on your findings. Ensure your conclusions are concise and directly supported by the evidence presented in your analysis.

3. Presentation style/format: The assignment needs to be typed in the following format: Font size 12 point, spacing 1.5, left and right margins set at 2.54 cm. The pages need to be numerated. It should be written using correct spelling, grammar and punctuation. Harvard referencing is required. Please apply the following file naming conversion for your submission file, which includes the course code, the code of the tutorial session you’re enrolled in, your zID and your full name: INFS5700_T11A_z1234567_Firstname Lastname

4. Supporting resources: Topics covered and activities performed in weeks one to four may help in completing the assessment.

For guidance and support on writing a report, go to:

• The UNSW Business School student site document for writing reports. (https://www.business.unsw.edu.au/Students- Site/Documents/Writingareport.pdf)

• The UNSW Sydney Learning Centre page for report writing support. (https://student.unsw.edu.au/writing)

• Studiosity – accessible via https://www.student.unsw.edu.au/feedback-hub (Studiosity is UNSW's officially sanctioned online writing support platform. made available to you in this course. You can access Studiosity to receive comprehensive feedback on the quality of your writing (e.g. clarity of ideas, organisation, grammar) from a Studiosity tutor).