Assessment

Number

ULO02:Analyze and reflect on the application of different Business Analytics techniques in business scenarios.

ULO03: Use Business Analytics approaches to find trends and patterns in data from which to form a sustainable competitive advantage.

ULO04: Examine the features of various Business Analytics software and draw insights from their application in business situations.

1. Communication: The ability to communicate persuasively, both orally and in writing, with a diverse range of audiences.
2. Collaboration: The ability to build and manage teams,and to liaise and co-operate with stakeholders successfully.
3. Research:The ability to conduct and evaluate project.

4. Critical thinking & problem solving: The ability to pro-actively identify and solve problems creatively and in a structured and methodical way.

   6.Flexibility:The ability to critically assess,evaluate and synthesize alternatives.

   8.Self-sustained learning:The ability to conduct future self-sustained learning through

   accurate and advanced research.

Week4

ReportdueWeek12(Friday)viaMoodleTurnitin5:00pm(AEST)Part A Written Report (20%) and Part B Group Presentation (15%).

Studentswillworkinteamsof3or4memberstosubmitaprojectreport.

The group report should be at least 2,500 words. Students should apply advanced business analytics on a chosen dataset. They are expected to apply a combination of business analytic techniques to tell the story behind the dataset and to provide meaningful insights derived from the dataset. Moreover, this could also contribute to more informed discussions making and an increase in the organization’s business value.

The groups should answer the following questions:

1. Determine the background and purpose of the dataset.
2. Analyze the dataset and apply different Business Analytics techniques to gain insights from the data.
3. Determine trends and patterns in the data where by the organization would be able to benefit through data driven decisions and improved business value.
4. To apply Business Analytics tools and draw insights from their application in a business context over time.

Each group should obtain permission from the unit coordinator as to which dataset they should use and they should also discuss the type of business analytic technique that they

would like to apply for this assessment.No two group should use the same dataset and the

support or don’t support the results of the analyses.You need to provide the necessary reference

to support any claims to ensure that the findings are supported by others in that field.

Recommendations: The recommendation highlights any key findings from the analyses that is informed by the findings. Recommendation sections are usually concise and provide practical advice on areas that needs to be addressed.

Conclusions:Through logical reasoning, this section should summarize how the project objectives have been achieved using appropriate business analytics tools and techniques.

List of references: this should be formatted in Harvard style.

It is also vital that your work is guided by the marking rubric.

Research expectation:

• The submission needs to be supported with information by credible sources.
• Credible sources should be varied and include,but not limited to,the Text book, Government reports, Industry reports, Newspaper articles, Books, and Journal articles.
• Use the EBSCO Databases accessed through the Library and Learning Support page on Moodle to find journal articles, case studies and more to help you prepare your assessment. Speak with the library assistants or email (academicsuccess@aih.nsw.edu.au) if you require further assistance.

• Use Harvard referencing including the reference list
• All students must submit the peer evaluation via relevant Moodle link before the assessment due date
• YoumustsubmittheassessmentthroughtheAssessment4PartAGroupReportand Assessment 4 Part B Group Presentation Turnitin link on the Moodle page for this unit

• The assessment will be submitted through Turnitin via your unit page on Moodle.
• Turnitin is plagiarism software,which will identify if you have copied information and included it in your assessment.
• Copying information from others(i.e.websites,partner company information,or other students etc.) without acknowledging the author is classified as misconduct.
• Engaging someone else to write any part of your assessment is classified as misconduct.
• To avoid being charged with Misconduct, students need to submit their own work and apply Harvard Style Referencing (ask your lecturer or the learning support coordinator  (academicsuccess@aih.nsw.edu.au) if you do not know what this means, or you need assistance applying it).
• The AIH misconduct policy and procedure can be read on the AIH website  (https://aih.nsw.edu.au/about-us/policies-procedures/).

• Use the AIH referencing guide accessible via Library and Learning Support Page on Moodle.

  Note:Generative AI tools(like Chat GPT)can only be used for learning purposes. Penalties may apply for academic misconduct.

• Any assessment submitted past the specific due date and time will be classified as Late.
• Any Late submission will be subject to a reduction of the mark allocated for the assessment item by 5%per day (or part thereof) of the total marks available for the assessment item. A ‘day’ for this purpose is defined as any day of the week including weekends.Assignments submitted later than one(1)week after the due date will not be accepted, unless special consideration is approved as per the formal process.

• Students whose ability to submit or attend an assessment item is affected by sickness, misadventure or other circumstances beyond their control, may be eligible for special consideration. No consideration is given when the condition or event is unrelated to the student's performance in a component of the assessment, or when it is considered not to be serious.
• Studentsapplyingforspecialconsiderationmustsubmittheformwithin3daysofthe due date of the assessment item or exam.
• TheformcanbeobtainedfromtheAIHwebsite(https://aih.nsw.edu.au/current-students/student-forms/) or on-campus at Reception.
• The request form must be submitted to Student Services. Supporting evidence should be attached. For further information please refer to the Student Assessment Policy and associated Procedure available on
• (https://aih.nsw.edu.au/about-us/policies-procedures/).

ULO03: Use Business Analytics approaches to find trends and patterns in data

from which to forma

Introduction and Background

(10 marks)

ULO04: Examine the features of various Business Analytics software and draw insights from their

application in business

Body(Results,Analyses, Conclusion&Recommendation)

20 marks)

All of the criteria have been comprehensively covered, demonstrating very good understanding of the topic.

Written style is accurate.

Written style is accurate and appropriate.

Accurate word count.

Word count approximately within range.

Written style is satisfactory.

Word counts lightly over or under.

Written style is very limited with many errors.

Word count evidently over or under.

Written style is not appropriate or full of errors.

Word count not adhered to.