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COIT 20253 Assignment 3 Creating a Big Data Strategy

COIT 20253 Assignment 3 Creating a Big Data Strategy
Due Date: Friday, 6 October 2017, 5:00 PM
Weighting 40%
Length 3000 words (+/- 10%) Objectives
This assessment relates to course learning outcomes 2, 3, 4, 5, 6 and 7 stated in the e-course profile.
Assessment 3 is an individual assessment.
Please note that ALL submitted A2-reports are passed through a computerized copy detection system 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
The tasks
In recent years, the ability of Business Intelligence (BI) technologies to provide historical, curre nt, and predictive views of business operations based on the collection, extraction, and analysis of business data to improve decision has been the basis of several studies. More recently, “Big Data” and “Big Data Analytics” have further stirred the interest of researchers and practitioners alike.You are required to conduct market research and write a report on how Big Data can be used in Decision Support and Business Intelligence (DS&BI).
In this assignment you are required to write a research report focusing on one of the following topics (which you have already chosen for presentation and have discussed with your tutor)
1. Big data and new decision-making techniques/models/approaches;
2. Organisational and cultural issues of the ‘Data-driven’ organisation;
3. Leveraging big Data for enhancing decision making and creating new business models
4. Social networks for exploiting knowledge or creating intelligence;
The report should be well researched. Business strategy should be mapped clearly to business initiatives, objectives and tasks. You should able to define required technology stack and required data and analytics architecture for Big data for DS&BI including the Master Data Management (MDM). You should able to address advanced analytics requirements necessary to support the business strategy they have selected. And the role social media plays in organisations decision making process. You are required to discuss Big Data Value creation process. The report should address the followings:
1. Identify, create and discuss Business Strategy for a Big Data use case
2. Identify and align business initiatives, objectives and tasks with the developed Business Strategy.
3. Identify and discuss the required Technology Stack
4. Discussion on Data Analytics and MDM to support DS&BI
5. Discuss support of NoSQL for Big Data Analytics.
6. Discussion on different NoSQL Databases and its use in Big Data use case you have chosen.
7. Role of Social media in organisation’s decision making process
8. Discussion on Big Data Value creation process.
The length of the assignment is 3000 words. You are required to do extensive reading of more than 10 appropriate and relevant chosen topics in Big Data use case. 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 should be clear, easy to read and logical, directly addressing the question. Suitable headers should be used throughout the report. Good use of graphics and charts should be made. No spelling, punctuation or grammatical errors.
The Report (Important: The report makes up 100 marks – scaled to 40%)
You will produce a report that aims to explain your Decision making using Big Data as per the layout and submission guidelines mentioned below.
Report Layout and Submission Guidelines
Students are advised to observe the word count limit to 3000 words.
• Title Cover Page with clear details of course title/name, student number/name, lecturer & tutor
• Introduction: Introduction must clearly define the aims of the report. Students should include following in the introduction:
Students need to define what they are going to talk about. Students need to show what they are trying to do with the selected use case —the topic – the direction. Students should show what they are going to cover (and what they not, if required). Students need to give background information necessary to understand the report. Introduction must identify the project objectives.
1. Identify, create and discuss Business Strategy for a Big Data use case
2. Identify and align business initiatives, objectives and tasks with the developed Business Strategy.
3. Identify and discuss the required Technology Stack
4. Discussion on Data Analytics and MDM to support DS&BI
5. Discuss support of NoSQL for Big Data Analytics.
6. Discussion on different NoSQL Databases and its use in Big Data use case you have chosen.
7. Role of Social media in organisation’s decision making process
8. Discussion on Big Data Value creation process.
. • Reflections and Conclusions
Present your reflections about the decision making using Big Data (e.g. achievement and constraints).
Provide a brief summary of your findings
• References (must complete by showing 5 references with their related in-text citations)
Help
To help student members communicate, forums have been created for your use on the course Moodle website for Assessments 1 and 2. Please use them to help you work through your report.
Help on writing reports is contained in the Faculty Guide for Students – Chapter 4 – available here: http://www.cqu.edu.au/ data/assets/pdf_file/0003/2289/Extract-of-Chapter-3.pdf
You may also benefit from a video supplied by the CQUniversity Academic Learning Centre available here: http://www.youtube.com/watch?v=J0v9ekxeoko
Assessment criteria – Assignment 2 marking guide
Marks for Assessment 2 will be allocated as follows: Assessment mark will be weighted to 40%.
Assessment Criteria
Marking Criteria: Weighted out of 40%
1. Introduction (5 marks)
2. Identify, create and discuss Business strategy for a Big Data use case. (10 marks)
3. Identify and align business initiatives, objectives and Tasks with the developed Business Strategy. (10 marks)
4. Identify and discuss the required Technology Stack. (10 marks)
5. Discussion on Data Analytics and MDM to support DS&BI. (10 marks)
6. Discuss support of NoSQL for Big Data Analytics. (10 marks)
7. Discussion on different NoSQL Databases and its use in Big Data use case you have chosen.(10 marks)
8. Role of Social media and human elements in organisations decision making process.(10 marks)
9. Discussion on Big Data Value creation process.(5 marks)
10. Conclusion (5 marks)
11. Quality of Information (5 marks)
12. Grammar Usage (5 marks)
13. References used (5 marks)


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