Business Intelligence Solution Development and Report
Unit Learning Outcome (ULO)
ULO3: Collaborate constructively in a team to use BI technologies for implementation of innovative BI solutions.
ULO2: Appraise and apply data warehousing architecture, technologies and development methodologies for business intelligence.
In this group assignment, teams of 3 students will implement business intelligence solutions and produce a report to explain the solutions. Students are required to apply the BI knowledge and practical skills and analyse BI requirements of a competition. Based upon the findings, students will provide recommendations and use IBM Watson Analytics tools to implement business intelligence dashboards and predictive models.
BI Solution Development and Report
In the BI practicals, we saw how the Watson Analytics tools interact with data sources to produce BI dashboards. This practical assignment requires you to demonstrate your understanding of BI and apply the IBM Watson Analytics skills.
This group assignment topic will be on competition analytics. As an analyst, your main task is to apply Watson Analytics and develop innovative competition analytics with regards to any type of competition of your choice (e.g. election, Retail: Coles vs Woolworths, IT: Microsoft vs Apple, Airline: Qantas vs Virgin, Auto: Toyota vs GM, etc), and depict insightful info about the competition. You may apply either real-world or artificial dataset to illustrate your approach (the different datasets can be combined too).
1. Develop the relevant BI dashboards and predictive models using IBM Watson Analytics tool. Please present the BI dashboards first, then followed by the explanation of each individual chart of the dashboard.
2. Justify why these BI solutions could provide insights and why those attributes are laid out in the fashion you proposed (feel free to include all other relevant justifications).
Note: To ensure that you discuss task (2) properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool'), and also include any assumptions that you may have made.
3. The BI report should include: 1) objectives and benefits of your BI solution, 2) BI dashboards screenshots and commentary, 3) predictive models, 4) overall findings and recommendations, etc. Feel free to make reasonable assumptions or refine the data as needed. You may create your own artificial datasets. Real-world dataset is not compulsory.
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