COMP8811 - Business Intelligence and Data Analytics Pathway

Assignment Task

1. Problem statement: introduce a business problem that requires a BI/AI-based solution (refer to Assignment 1) and find a real-world dataset.

2. Technology/Technique review: review existing ABI techniques regarding their suitability of solving the business problem identified. Choose the appropriate one(s) that suit your project.

3. Solution design and development: design and develop a BI solution and a strategy that utilizes the chosen technology to solve the problem. The development can be either reusing/extending an existing tool or implementing your own system. You are free to study and choose any tool such as R or programming language to be used in your solution development.

4. Evaluation: report on your results. You need to discuss the results/findings you obtain from applying your proposed solution to the problem

5. Presentation: present your solution and conduct a live demo of the developed solution to the class.

Section

1. Introduction and problem identified: explain a business problem(s) that you have identified and briefly summarize the basic approach of solving the problem(s) in this project. You should explain the problem’s scenario along with its associated dataset. The dataset should not be too small and should have variation

2. ABI Technique review: discuss the technical details of your selected technique and highlight the rationale of adopting this methodology. This includes the suitability, advantages

3. Solution design and development: present a complete design of your proposed solution. The design should include: architecture diagram of your technology system/application, user/program flow-chart, and user interfaces design. An explanation of how the selected technology/technique, including procedures and algorithms, is used in the solution. You should also explain how your solution is developed, including a programing language, software tool, or software library used.

4. Evaluation: evaluate and discuss your results/findings. The discussion should include your own interpretation and evaluation of the results over the accuracy and related performance criteria. You can also discuss other important things you learn from the analysis.

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