Question: Objectives: This assessment item relates to course learning outcomes numbers 1, 2, 3 and 4 as stated on the course profile.

Assessment 1 is an individual assessment. In assessment 1, you are assigned tasks which assess your course knowledge gained between weeks 1 and 5 about different facets of Big Data solutions. All students will have to write a report showing the answers to the questions in tasks 1-5below.

Please note that ALL submitted A2-reports are passed through a computerized copy detectionsystem and it is extremely easy for teaching staff to identify copied or otherwise plagiarised work.

• Copying (plagiarism) can incur penalties ranging from deduction of marks to failing the course or even exclusion from the University.

• Please ensure you are familiar with the Academic Misconduct Procedures, available from: http://policy.cqu.edu.au/Policy /policy_file.do?policyid=1244

Assignment 1: You are required to select an (one) application of Big Data in Supply Chain/logistics, Healthcare, Insurance, Marketing, Finance etc. of your choice. Discuss and compare the key values added by Big Data Solutions over traditional methods. You are to write
a report on Big Data technology and services. Your report should address the following in the related context.

• Task 1: What Big Data is, and the difference between Online and Offline Big Data

• Task 2: How to select the right Big Data application for your business, project and desired outcomes.

• Task 3: What are the technologies available in Big Data?

• Task 4: Business Impact of Big Data

• Task 5: Organizational Impact of Big Data.

All the above written tasks should be related to the application of Big Data you have chosen.

The length of the assignment is 2000 words. You are required to do extensive reading of more than 10 appropriate and relevant chosen topics in Big Data application Please do in-text referencing of all chosen readings. Newspaper and magazine reports should be limited to a maximum of 2. A comprehensive report covering all key aspects of the topic selected is required. Report should be extremely well supported with relevant case studies. Any assumptions made are clearly noted. The report structure is clear, easy to read and logical, directly addressing the question. Suitable headers used throughout the report. Good use of graphics and charts. No spelling, punctuation or
grammatical errors.

Submission of Assessments

The assignment is to be submitted as one files using the electronic assignment submission system that can be accessed from the link on the course website.

Assessment Criteria

Assessment Marking Criteria: Weighted out of 35%

1. Introduction

2. Difference between online and Offline Data

3. Strategy to select right Big Data application

4. Listed desired outcome from Big Data Solution

5. Discussion on Technologies used in Big data solutions

6. Business impact of Big Data

7. Organisational impact of Big Data

8. Conclusion

9. Quality of Information

10. Grammar Usage

11. References used