Reference no: EM134045578 , Length: Word Count:2000
Analytics Capstone: Industry Research Project
Assessment - Capstone Project Report
Task
Complete and deliver your capstone analytics project, incorporating predictive analytics (machine learning and/or forecasting) as a core component of the analysis.
Prepare a final project report that demonstrates how your project addresses a relevant industry problem through data-driven methods and incorporates the feedback received in Assessments 1 and 2.
Deliver a clear and persuasive 3-minute pitch that communicates the business value, key findings, and recommendations of your project.
Assessment Description
Assessment 3 is the final capstone task and includes two major deliverables:
a written project report, and
a 3-minute in-workshop pitch.
It builds on the work completed in Assessments 1 and 2, which acted as project milestones.
You are required to consolidate your analytics project into a coherent final submission.
Your report must clearly demonstrate:
how your analysis addresses a relevant industry problem,
how you applied data analytics methods to generate insights and recommendations, and
how you have responded to feedback received in earlier assessments.
Assessment Instructions
Provide a report and pitch about your proof-of-concept solution that demonstrates your ability to outline a relevant industry business problem and formulate an analytical question, apply descriptive and predictive analytics techniques to address that problem, provide evidence-based recommendations supported by visualisations and analytical outputs, and communicate these recommendations effectively to both analytics and business audiences.
Submit your final report as a Word document or PDF. The report should be approximately 2000 words in length (±10%), excluding references and appendices.
Report structure: Organise your report using the required sections listed above, including the executive summary, industry problem, data processing and management, data analytics methodology, visualisation and evaluation of results, recommendations, and data ethics and security.
Visuals and outputs: Include clear and relevant tables, charts, visualisations, and analytical outputs to support your analysis, findings, and recommendations.
References: Support your report with at least ten relevant academic references and ensure that in-text citations are used appropriately throughout.
Appendices and supporting files: Include an appendix with additional methodological detail where appropriate and upload the relevant analytics model file(s) and one supporting file showing data preparation.
Pitch presentation: Deliver a clear and persuasive 3-minute pitch in class. Your pitch should present the same project as your report and communicate its business value, key findings, and recommendations.
How to prepare
Your report should cover the following items. The suggested word counts for each section are provided as a guide only.
Executive Summary (100 words)
Provide a concise overview of the business problem, the analytics approach, the key findings, and the data-driven recommendations.
Industry Problem (300 words)
Provide relevant industry background.
Outline a contemporary business problem within the industry.
Explain why solving this problem is important to the industry.
Formulate the project question that your analysis seeks to answer.
Justify how data can be used to generate actionable insights and solutions.
Reflect on how data availability influenced the business problem you ultimately chose to address.
Data Processing and Management (400 words)
Describe the data source and explain its relevance to the business problem.
Outline how descriptive and predictive analytics techniques can be applied to the data in the context of the project.
Briefly describe how the data was cleansed, prepared, and mined, and include one supporting file to demonstrate this process.
Data Analytics Methodology (400 words)
Describe the data analytics methodology used and justify your choice of approach.
Include an appendix with additional methodological detail for a technical audience.
Visualisation and Evaluation of Results (300 words)
Present visualisations that communicate both descriptive and predictive analytics insights.
Evaluate how these visualisations help address the business problem.
Reflect on the effectiveness of the techniques and software used.
Include clear and relevant tables, charts, visualisations, and analytical outputs to support your analysis, findings, and recommendations.
Recommendations (400 words)
Provide recommendations to address the business problem, supported by data visualisations and analytical outputs.
Communicate the insights effectively to a diverse audience.
Reflect on the limitations of the data and the analytics techniques used.
Evaluate the role of data analytics in addressing the business problem.
Suggest further analytics techniques, technologies, or future plans that could extend the project or address related problems.
Data Ethics and Security (100 words)
Outline the privacy, legal, security, and ethical considerations relevant to your data analysis.
Reflect on the accuracy and transparency of your visualisations.
Recommend how data ethics should be considered if additional analytics technologies or data are used to address this business problem in the future.
Reference List (not included in word count)
In-text citations should be incorporated within the body of the report
Minimum 10 references (relevant and current - published within the last five years).
Any academic referencing style accepted
You should prepare your pitch as if you are seeking funding and have only a brief elevator ride to convince a potential investor. The outline below provides suggested elements for each section.
Hook - Open with a compelling statement, statistic, or short anecdote that highlights the problem and captures attention.
Problem & Need - Define the issue clearly. Explain why it matters, who is affected, and what is at risk.
Your Solution - Present your project as the solution. Emphasise what makes it innovative, valuable, and different.
Insights & Findings - Share the key results from your analysis in a clear and engaging way.
Recommendations & Strategic Impact - Outline your proposed actions and explain the broader impact if your solution is supported.
The Ask - State directly what you need (e.g., funding, support, partnership) and how it will drive success.
Call to Action - End with a strong, confident closing that motivates your audience to act.