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MIS781 Business Intelligence Assignment Help
This assignment explains about the methods of solving various business problems by using modern industrial tool, developing the quality in the business and maintaining the level of operations in making the potential growth by accomplishing targets.
This assignment has 30% value
The length of this assignment should be 4000 words
Unit learning outcomes
1. Collaborate constructively in a team to use BI technologies for implementation of innovative BI solutions.
2. Appraise and apply technologies and development, data warehousing architecture for business intelligence.
Graduate learning outcomes
1. Discipline-specific capabilities and knowledge - Students are required to demonstrate an understanding of the business intelligence context and explain the BI technologies and associated implementation issues.
2. Digital Literacy - Students are required to apply BI technologies to find, use and disseminate actionable information.
3. Teamwork - Students are expected to collaborate constructively in a team to appraise business intelligence requirements and develop BI solutions.
In this group assignment, students have to fulfill the following requirements:
1. A team comprised of 3 students will implement business intelligence solutions and produce a report to explain the solutions.
2. Students are required to apply the BI knowledge and practical skills and analyze BI requirements of a competition.
3. 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 practical, 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 assignment is based 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, etc), and depict insightful info about the competition. You may apply either real-world or artificial dataset to illustrate your approach.
1. Develop the relevant BI dashboards and predictive models using IBM Watson Analytics tool.
Note - 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.
Note – You can also include other relevant justifications. You must include visual samples of the reports you produce i.e. the screenshots of the BI report 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.
Note - 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.
1. Students must include Watson Analytics certificate from the practical at the end of the report. Note - Reports without the certificate will not be marked.
2. Students must include ‘Table of Content’, organize sections logically and ‘List of References’ in the body.
3. Students should mention the contribution of each team member on the Table of Content.
4. Students may include figures, tables, diagrams, and charts, etc.
5. The format of the report must be written in Microsoft Word.
6. Students should include any website, journal, or conference papers you have cited in your research paper as references.
Challenges students might face
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