Reference no: EM134039745 , Length: 8 Minutes PPT
Analytics Capstone: Industry Research Project
Assessment - Methodology Summary Presentation
Task
Deliver a presentation in your Week 8 workshop summarising the progress of your capstone project, with a clear emphasis on the implementation of your proposed analytics methodology.
Assessment Description
An individual presentation Students are to clearly present the main parts of their own project.
Assessment Instructions
Prepare a presentation that communicates the progress of your capstone project, with clear emphasis on the implementation of your proposed analytics solution. You are not expected to cover every detail. Focus on clearly explaining your key approach, results, and business insights. The exact timing of your oral presentation will be advised in week 7.
Your presentation should include the following components:
Business problem and business question
Data sources and data processing
Exploratory data analysis
Model selection and model training
Model evaluation and validation
Visualisation and interpretation of results
Integration of the solution into real-world systems
Incorporate feedback from your peer consultation in the Week 6 workshop
This assessment is to be completed individually in Week 8, following the peer consultation activity in Week 6. Upload your presentation slides to MyKBS Assessment 2 (Turnitin).
How to prepare
Data Analytics Methodology and Implementation
Describe to an audience of diverse stakeholders about the data analytics methodology you selected, the reasons for your choice, and how it was implemented to address the business problem. Use a flow chart to illustrate the end-to-end framework, including data input, preprocessing, exploratory analysis, model development, evaluation, and deployment or integration considerations.
Address:
What statistical or analytics method was used?
How much data was used in the model?
How was the data input, processed, and prepared for analysis?
What was the output, and how does it support decision-making?
How could the solution be integrated into a real-world environment or operational workflow?
Visualisation, Evaluation, and Deployment Considerations
Visualise both your descriptive analytics findings and your predictive analytics outputs. Evaluate the model performance and the significance of the analytics in addressing the business problem.
Reflect on the effectiveness of the techniques and software used, and identify additional data, methods, or tools that could strengthen the analysis.
Discuss how the proposed solution could be deployed or integrated into real-world systems and its potential business value, including the potential to generate an optimal return on investment.
Reflect on the value of the peer discussion review undertaken in Week 6 and how it informed improvements to your project.
Brief Summary of your results
Outline your key results clearly and concisely. Present your insights with direct reference to the business problem and business question you selected. Briefly reflect on the role and limitations of the data, methodology, and implementation approach used in addressing this business problem.
Generative AI Guidance (Green)
Please refer to the Generative AI Traffic Light table in this outline. You may use GenAI responsibly to support communication and understanding.
Appropriate use
Structuring your presentation
Improving slide wording (to get ideas but not rewrite your own words)
Explaining general concepts
Demonstrate your learning by
Explaining your project decisions and results in your own words
Explaining and justifying your models and analysis