Business Analytics
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School of Business, IT and Logistics
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ISY3375 Business Analytics
Assessment 3 Information
| Assessment Type: Discussion and quantitative questions | Word limit: N/A |
| Due date: Thursday of Week 7, 23:59 (Melbourne time) | |
| Weighting: 40% |
AssignmentTutorOnline
Overview
The purpose of this assignment is to investigate your learning pertaining to different aspects of business
analytics course including:
• Your technical knowledge of how to appropriately use the software and different business analytics
techniques
• Your knowledge of different concepts of data analytics
Some questions will require you to explain how a specific technique should be used, some questions are
result oriented meaning you have to calculate a specific value and some questions will ask you to interpret
the results of your calculations and provide details around how they can be applied.
The full brief which includes questions, data-sets and rubric will be available from Sunday of
Week 5, 9:00 AM Melbourne time until Thursday of Week 7, 23:59 Melbourne time.
Note
Submission points will be available from Sunday of Week 5, 9.00 Melbourne time.
The Word doc/PDF submission point is available on the same page as the brief, rubric and data sets. The
Excel submission point will be on a separate page.
The Word doc/PDF is required to include the Excel files results as this is the only graded document. You
need to transfer the results from the Excel file into the Word document. You must also submit your Excel file
(we prefer a single excel file with one or multiple worksheet for each question). If you think there is any issue
or unclarity in any question, please make your assumptions (if there is any) and clearly explain them in your
report.
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Linked Learning outcomes
• CLO 1 Evaluate the key concepts of business analytics and assess theresults generated to
deliver positive outcomes
• CLO 2 Argue the relationship of the business analytics process within the organisation’s
decision-making process
• CLO 3 Access relevant business data and pre-analyse the data to the exact specifications
and variables
• CLO 4 Examine and apply appropriate business analytic techniques and methods, toinform
responsive, evidence-based decision-making to improveperformance
Assessment details
Questions have variable marks assigned to them. The assessment will total 40 marks. If the solution approach is
correct but the final answer is not correct you may still get partial credits. Therefore, make sure you provide enough
explanations on your solution approach
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| Referencing guidelines You must acknowledge all the courses of information you have used in your assessments. Refer to the RMIT Easy Cite referencing tool to see examples and tips on how to reference in the appropriated style. You can also refer to the library referencing page for more tools such as EndNote, referencing tutorials and referencing guides for printing. |
| Submission format Upload as one single word file and one Microsoft Excel file via the assignments submission page within Canvas. |
Academic integrity and
plagiarism
Academic integrity is about honest presentation of your academic work. It means acknowledging the work of others
while developing your own insights, knowledge and ideas.
You should take extreme care that you have:
Acknowledged words, data, diagrams, models, frameworks and/or ideas of others you have quoted (i.e.
directly copied), summarised, paraphrased, discussed or mentioned in your assessment through the
appropriate referencing methods,
Provided a reference list of the publication details so your reader can locate the source if necessary. This
includes material taken from Internet sites.
If you do not acknowledge the sources of your material, you may be accused of plagiarism because you
have passed off the work and ideas of another person without appropriate referencing, as if they were your
own.
RMIT University treats plagiarism as a very serious offence constituting misconduct.
Plagiarism covers a variety of inappropriate behaviours, including:
Failure to properly document a source
Copyright material from the internet or databases
Collusion between students
For further information on our policies and procedures, please refer to the University website.
Assessment declaration
When you submit work electronically, you agree to the assessment declaration.