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MIS781 Business Intelligence Trimester 3, 2017
Group Assignment: Business Intelligence Solution Development and Report for Sports Analytics
DUE DATE AND TIME: 5th January 2018 (Friday; 5pm) PERCENTAGE OF FINAL GRADE: 40% of overall unit assessment mark Word count: Up to 5000 words Assignment: In a team of 3 students (teams must be formed by end of week 4)
Learning Outcome Details
Unit Learning Outcome
(ULO)
Graduate Learning Outcome (GLO)
ULO3: Collaborate
constructively in a team to
evaluate business
intelligence requirements
and implement innovative
BI solutions.
GLO1: Students are required to demonstrate an understanding of the
business intelligence context and explain the BI technologies and associated
implementation issues. GLO4: students are required to analyse and critique
business intelligence initiatives from technological and organisational
perspectives. GLO7: students are expected to collaborate constructively in a
team to appraise business intelligence requirements and develop BI
solutions.
Assessment Feedback:
Students who submit their work by the due date will receive their marks and feedback on CloudDeakin on 26th January 2018 (Friday; 5pm)
Requirement:
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.
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This group assignment topic will be on sports analytics. As a sports analyst, your main task is to apply Watson Analytics and develop innovative sports analytics with regards to a type of sport of your choice (e.g. cricket, basketball, soccer, badminton, F1, tennis, etc), and depict insightful info about the sport, such as winners’ record vs venue, players’ performance by venue, fans’ demographics over time, etc. You may apply either real-world or artificial dataset to illustrate your approach (the different datasets can be combined too).
Some possible datasets/sources:
https://en.wikipedia.org/wiki/List_of_sports
http://sportsdatabase.com/
http://www.opensourcesports.com/
https://public.tableau.com/en-us/s/blog/2014/03/where-find-sports-data
Tasks:
1. Develop the relevant BI dashboards, predictive models and social media analytics using IBM Watson Analytics tool.
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) BI dashboards screenshots and commentary, 2) predictive models, 3) social media findings, 4) overall findings and recommendations, 5) objectives and benefits of your BI solution, 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. Note: Do refer to the assignment marking rubrics.
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Report guidelines 1. The body of the report should contain ‘Table of Content’, logically organised sections, and
‘List of references’.
2. The contribution of each team member must be clearly stated on the Table of Content. E.g. Introduction (done by Alex Smith).
3. You may include figures, diagrams, tables and charts, etc.
4. For this practical assignment, the length of the assignment includes everything (e.g. Table of content and References list).
5. Reports should be written in Microsoft Word and submitted as a Word file.
6. Assignments are to be submitted online to the CloudDeakin dropbox (see submission details below).
Submission Details The assignments should be submitted as a Word file, called surname1-surname2-surname3.docx (e.g. Smith-Patel-Jones.docx) and submitted via CloudDeakin (your group’s Dropbox; not individual one even though if you are allowed to do it individually – so, just join any group number as a sole member, or else your mark will not be automatically recorded by the group assignment system). It is worth 40% of your overall mark for this unit. Also, do include your Team’s Watson login and password detail on the first page on the group assignment. Assignments with Turnitin index of 10% or more will be reported to Faculty Academic Misconduct Committee. Referencing format You should include any website, journal, or conference papers you have cited in your research paper as references. Please use the Harvard style for referencing your sources. See: http://www.deakin.edu.au/current-students/study-support/study-skills/handouts/authordate- harvard.php
NOTE: You MUST produce the actual visuals in IBM Watson Analytics. If you think the best presentation above is to use, say, only a pie chart, then discuss
using a pie chart and indicate what the pie chart would show, why you picked the pie chart, and so on.
It may be useful to try with various dashboards (i.e. combinations of presentations) before rushing to conclusion.
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Assessment of Assignment The Marking Rubric should give you an idea of the relative effort you need to apply to each section of your assignment. Plagiarism Plagiarism will cause the grade on any written assignment to be zero (0). Do ensure your Turnitin similarity index is less than 10%. Academic Misconduct Deliberate academic misconduct such as plagiarism is subject to severe penalties. Plagiarism includes:
copying words from other students
re-using assignment material done by other students
contracting other people to do the assignment, etc.
Extension No extensions will be considered for this assignment unless a written request (email is fine) is submitted (and approved by the Unit Chair) at least 48 hours before the due date. Assignments submitted late without an extension being granted will NOT be marked. You must keep a backup copy of every assignment you submit, until the marked assignment has been returned to you. In the unlikely event that one of your assignments is misplaced, you will need to submit your backup copy. Any work you submit may be checked by electronic or other means for the purposes of detecting collusion and/or plagiarism. When you are required to submit an assignment through your CloudDeakin unit site, you will receive an email to your Deakin email address confirming that it has been submitted. You should check that you can see your assignment in the Submissions view of the Assignment dropbox folder after upload, and check for, and keep, the email receipt for the submission.
Notes
Penalties for late submission: The following marking penalties will apply if you submit an assessment task after the due date without an approved extension: 5% will be deducted from available marks for each day up to five days, and work that is submitted more than five days after the due date will not be marked. You will receive 0% for the task. ‘Day’ means working day for paper submissions and calendar day for electronic submissions. The Unit Chair may refuse to accept a late submission where it is unreasonable or impracticable to assess the task after the due date.
For more information about academic misconduct, special consideration, extensions, and assessment feedback, please refer to the document Your rights and responsibilities as a
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student in this Unit in the first folder next to the Unit Guide of the Resources area in the CloudDeakin unit site.
Building evidence of your experiences, skills and knowledge (Portfolio) – Building a portfolio that evidences your skills, knowledge and experience will provide you with a valuable tool to help you prepare for interviews and to showcase to potential employers. There are a number of tools that you can use to build a portfolio. You are provided with cloud space through OneDrive, or through the Portfolio tool in the Cloud Unit Site, but you can use any storage repository system that you like. Remember that a Portfolio is YOUR tool. You should be able to store your assessment work, reflections, achievements and artefacts in YOUR Portfolio. Once you have completed this assessment piece, add it to your personal Portfolio to use and showcase your learning later, when applying for jobs, or further studies. Curate your work by adding meaningful tags to your artefacts that describe what the artefact represents.